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GHOFRANEE
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Dataset_ocr_to_json

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Split (2)

train · 2.14k rows

instruction stringclasses 1 value	input stringlengths 586 18k	output stringlengths 161 5.19k
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[97.0, 38.0], [186.0, 35.0], [186.0, 50.0], [97.0, 53.0]], ('PRODUITS U SUO-OUEST', 0.8510514497756958)], [[[103.0, 58.0], [184.0, 56.0], [184.0, 69.0], [103.0, 71.0]], ('21.23E DCOESSA', 0.8433610796928406)], [[[102.0, 77.0], [184.0, 75.0], [184.0, 88.0], [102.0, 90.0]], ('TEL0143 203407', 0.9335218071937561)], [[[115.0, 68.0], [177.0, 67.0], [177.0, 78.0], [115.0, 79.0]], ('75014PARIS', 0.9809556007385254)], [[[98.0, 88.0], [188.0, 86.0], [188.0, 97.0], [98.0, 100.0]], ('Fax:0145 3853 95', 0.896340012550354)], [[[12.0, 114.0], [41.0, 114.0], [41.0, 129.0], [12.0, 129.0]], ('Sav', 0.992405116558075)], [[[49.0, 109.0], [167.0, 105.0], [167.0, 118.0], [49.0, 122.0]], ('Date30/10/2015-21:56', 0.9485713243484497)], [[[96.0, 156.0], [191.0, 156.0], [191.0, 170.0], [96.0, 170.0]], ('Tablea23 Couverts2', 0.8661006689071655)], [[[61.0, 180.0], [79.0, 180.0], [79.0, 191.0], [61.0, 191.0]], ('Qte', 0.8339686989784241)], [[[92.0, 179.0], [144.0, 179.0], [144.0, 190.0], [92.0, 190.0]], ('Designation', 0.9744949340820312)], [[[155.0, 177.0], [224.0, 175.0], [225.0, 189.0], [156.0, 191.0]], ('Px Lnit Total', 0.8404670357704163)], [[[69.0, 199.0], [137.0, 197.0], [137.0, 211.0], [69.0, 213.0]], ('2 MENU TERRIR', 0.8305759429931641)], [[[170.0, 200.0], [197.0, 200.0], [197.0, 211.0], [170.0, 211.0]], ('18,90', 0.9125378727912903)], [[[201.0, 198.0], [232.0, 198.0], [232.0, 212.0], [201.0, 212.0]], ('37.80', 0.8869627714157104)], [[[69.0, 210.0], [146.0, 210.0], [146.0, 223.0], [69.0, 223.0]], ('2 TERRINE MAISON', 0.9175241589546204)], [[[172.0, 210.0], [196.0, 210.0], [196.0, 222.0], [172.0, 222.0]], ('Menu', 0.8771176338195801)], [[[70.0, 221.0], [166.0, 221.0], [166.0, 234.0], [70.0, 234.0]], ('1 ESCALOPE FOIE GRAS', 0.9119957089424133)], [[[166.0, 220.0], [196.0, 220.0], [196.0, 234.0], [166.0, 234.0]], ('19,00', 0.8966727256774902)], [[[207.0, 220.0], [232.0, 220.0], [232.0, 232.0], [207.0, 232.0]], ('19,00', 0.8878143429756165)], [[[66.0, 232.0], [162.0, 232.0], [162.0, 245.0], [66.0, 245.0]], ('2 CASSOULET TRADITIO', 0.8708372116088867)], [[[171.0, 231.0], [195.0, 233.0], [194.0, 245.0], [170.0, 243.0]], ('Menu', 0.8110590577125549)], [[[67.0, 244.0], [137.0, 244.0], [137.0, 255.0], [67.0, 255.0]], ('1CUISSE FARCIE', 0.9027866125106812)], [[[168.0, 242.0], [197.0, 242.0], [197.0, 256.0], [168.0, 256.0]], ('19.00', 0.9043689966201782)], [[[205.0, 242.0], [234.0, 242.0], [234.0, 256.0], [205.0, 256.0]], ('19.00', 0.9002853631973267)], [[[68.0, 255.0], [133.0, 255.0], [133.0, 266.0], [68.0, 266.0]], ('1GAILLAC 25CL', 0.9479387998580933)], [[[173.0, 254.0], [196.0, 254.0], [196.0, 266.0], [173.0, 266.0]], ('4.50', 0.8894027471542358)], [[[210.0, 254.0], [233.0, 254.0], [233.0, 266.0], [210.0, 266.0]], ('450', 0.5539422035217285)], [[[65.0, 264.0], [162.0, 264.0], [162.0, 277.0], [65.0, 277.0]], ('1CROUSTADE POMMES A', 0.9221704602241516)], [[[172.0, 266.0], [196.0, 266.0], [196.0, 278.0], [172.0, 278.0]], ('Nenu', 0.842211127281189)], [[[67.0, 278.0], [162.0, 278.0], [162.0, 288.0], [67.0, 288.0]], ('IFROMAGE BLANC PRUN', 0.9190067648887634)], [[[173.0, 278.0], [196.0, 278.0], [196.0, 289.0], [173.0, 289.0]], ('Nenu', 0.9452908039093018)], [[[44.0, 313.0], [153.0, 313.0], [153.0, 333.0], [44.0, 333.0]], ('NET TTC EUR', 0.9422549605369568)], [[[187.0, 313.0], [241.0, 313.0], [241.0, 334.0], [187.0, 334.0]], ('80,30', 0.9324590563774109)], [[[39.0, 333.0], [60.0, 333.0], [60.0, 346.0], [39.0, 346.0]], ('H.T.', 0.9867545962333679)], [[[82.0, 332.0], [178.0, 332.0], [178.0, 346.0], [82.0, 346.0]], ('375x TVAa20=', 0.9234955906867981)], [[[216.0, 332.0], [243.0, 332.0], [243.0, 348.0], [216.0, 348.0]], ('0,75', 0.9105187058448792)], [[[38.0, 346.0], [60.0, 346.0], [60.0, 358.0], [38.0, 358.0]], ('H.T.', 0.9597194194793701)], [[[76.0, 343.0], [178.0, 345.0], [178.0, 359.0], [76.0, 358.0]], ('68.91 x TVA a10=', 0.8199105262756348)], [[[218.0, 346.0], [244.0, 346.0], [244.0, 361.0], [218.0, 361.0]], ("68'9", 0.8085742592811584)], [[[95.0, 384.0], [182.0, 384.0], [182.0, 397.0], [95.0, 397.0]], ('Service VINCENT', 0.9515051245689392)], [[[96.0, 395.0], [182.0, 397.0], [181.0, 410.0], [96.0, 408.0]], ('HAISON MICOULEAU', 0.925324559211731)], [[[84.0, 408.0], [194.0, 409.0], [194.0, 423.0], [83.0, 422.0]], ('MERCI DE VOTRE VISITE', 0.9428776502609253)], [[[80.0, 419.0], [199.0, 422.0], [199.0, 436.0], [80.0, 433.0]], ('SIRET 383 546 330 00010', 0.9219158887863159)]]	{"store_name": "PROOUJTSDUSUD-OUEST", "store_addr": "75014PARIS 21,23RUED'DOESSA", "telephone": "0143203407", "date": "30/10/2015", "time": "-21:56", "subtotal": "80,30", "tax": "0,75 6,89", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "FROMAGEBLANCPRUN", "item_value": "37,80", "item_quantity": "1"}, {"item_key": "", "item_name": "CROUSTADEPOMMESA", "item_value": "19,00", "item_quantity": "1"}, {"item_key": "", "item_name": "GAILLAC25CL", "item_value": "19,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CUISSEFARCIE", "item_value": "4,50", "item_quantity": "1"}, {"item_key": "", "item_name": "CASSOULETTRADITIO", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "ESCALDPEFOIEGRAS", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "TERRINEMAISON", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MENUTEAROIR", "item_value": "", "item_quantity": ""}, {"item_key": "Designation", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[412.0, 398.0], [1065.0, 379.0], [1066.0, 440.0], [414.0, 458.0]], ('Buckley`s on Queen Anne', 0.9470494389533997)], [[[500.0, 472.0], [972.0, 459.0], [973.0, 512.0], [501.0, 525.0]], ('232 1st Ave. West', 0.9320879578590393)], [[[502.0, 543.0], [1005.0, 528.0], [1007.0, 583.0], [503.0, 598.0]], ('Seattle,WA 98119', 0.9495662450790405)], [[[526.0, 613.0], [947.0, 602.0], [949.0, 657.0], [528.0, 668.0]], ('ph 206-691-0232', 0.9692837595939636)], [[[225.0, 825.0], [1272.0, 809.0], [1273.0, 862.0], [226.0, 878.0]], ('NO CREDIT CARD TRANSACTIONS UNDER $10', 0.9534490704536438)], [[[451.0, 894.0], [1064.0, 887.0], [1064.0, 934.0], [452.0, 942.0]], ('PLEASE PAY YOUR SERVER', 0.9496544003486633)], [[[402.0, 1025.0], [1118.0, 1025.0], [1118.0, 1078.0], [402.0, 1078.0]], ('32:3-TABLE:32-1 Guest', 0.9153128266334534)], [[[595.0, 1095.0], [906.0, 1095.0], [906.0, 1143.0], [595.0, 1143.0]], ('Server:Joe', 0.9677774310112)], [[[257.0, 1155.0], [1276.0, 1157.0], [1276.0, 1224.0], [257.0, 1222.0]], ('1/20/2018 3:28:08PM-ID#0910309', 0.9418901205062866)], [[[595.0, 1230.0], [814.0, 1230.0], [814.0, 1279.0], [595.0, 1279.0]], ('Subtotal', 0.997143030166626)], [[[1180.0, 1236.0], [1371.0, 1245.0], [1368.0, 1306.0], [1177.0, 1298.0]], ('$13.95', 0.9972379803657532)], [[[369.0, 1302.0], [950.0, 1293.0], [951.0, 1346.0], [370.0, 1355.0]], ('Seattle Fair Wage Act', 0.9689580202102661)], [[[1212.0, 1310.0], [1373.0, 1321.0], [1369.0, 1379.0], [1208.0, 1368.0]], ('$0.57', 0.9957699775695801)], [[[597.0, 1364.0], [897.0, 1360.0], [898.0, 1415.0], [597.0, 1419.0]], ('Other Taxes', 0.9721629619598389)], [[[1214.0, 1378.0], [1372.0, 1392.0], [1367.0, 1448.0], [1209.0, 1435.0]], ('$1.41', 0.996105968952179)], [[[600.0, 1433.0], [899.0, 1429.0], [900.0, 1484.0], [601.0, 1488.0]], ('Total Taxes', 0.9626126885414124)], [[[1212.0, 1447.0], [1375.0, 1462.0], [1370.0, 1523.0], [1207.0, 1507.0]], ('$1.98', 0.9959150552749634)], [[[597.0, 1567.0], [898.0, 1567.0], [898.0, 1627.0], [597.0, 1627.0]], ('Grand Total', 0.9554921984672546)], [[[1184.0, 1592.0], [1380.0, 1607.0], [1376.0, 1671.0], [1179.0, 1656.0]], ('$15.93', 0.9961903691291809)], [[[202.0, 1645.0], [599.0, 1648.0], [598.0, 1695.0], [201.0, 1692.0]], ('redit Purchase', 0.8944395780563354)]]	{"store_name": "Buckley\u2019sonQueenAnne", "store_addr": "2321stAve.West Seattle,WA98119", "telephone": "206-691-0232", "date": "1/20/2018", "time": "3:28:08PM", "subtotal": "$13.95", "tax": "$0.57 $1.41 $1.98", "total": "$15.93", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[85.0, 29.0], [238.0, 24.0], [238.0, 40.0], [85.0, 46.0]], ('Authentic Mexican food', 0.9474977254867554)], [[[110.0, 55.0], [208.0, 53.0], [209.0, 70.0], [110.0, 72.0]], ('SAT MARCH 22.2014', 0.9246230125427246)], [[[115.0, 70.0], [209.0, 69.0], [209.0, 83.0], [115.0, 84.0]], ('CHECK #1374482-1', 0.9588174223899841)], [[[71.0, 97.0], [170.0, 96.0], [170.0, 110.0], [71.0, 111.0]], ('1#62CHEESE ENCH', 0.9295247197151184)], [[[224.0, 94.0], [257.0, 94.0], [257.0, 108.0], [224.0, 108.0]], ('$8.50', 0.9961190223693848)], [[[70.0, 110.0], [160.0, 111.0], [160.0, 125.0], [70.0, 124.0]], ('1 MACHOS NACHOS', 0.9400463700294495)], [[[223.0, 107.0], [257.0, 107.0], [257.0, 121.0], [223.0, 121.0]], ('$5.95', 0.9930650591850281)], [[[71.0, 125.0], [165.0, 125.0], [165.0, 138.0], [71.0, 138.0]], ('1 CHICK MILANESA', 0.9429323077201843)], [[[219.0, 121.0], [258.0, 121.0], [258.0, 134.0], [219.0, 134.0]], ('$10.45', 0.9861958622932434)], [[[71.0, 138.0], [142.0, 138.0], [142.0, 152.0], [71.0, 152.0]], ('1FLOUR TORT', 0.9408471584320068)], [[[224.0, 134.0], [258.0, 134.0], [258.0, 148.0], [224.0, 148.0]], ("00'0$", 0.7959625124931335)], [[[105.0, 151.0], [158.0, 151.0], [158.0, 165.0], [105.0, 165.0]], ('SUB-TOTAL', 0.991267204284668)], [[[220.0, 148.0], [259.0, 148.0], [259.0, 162.0], [220.0, 162.0]], ('$24.90', 0.9931421875953674)], [[[105.0, 165.0], [126.0, 165.0], [126.0, 177.0], [105.0, 177.0]], ('TAX', 0.9955071806907654)], [[[226.0, 162.0], [259.0, 162.0], [259.0, 176.0], [226.0, 176.0]], ('$2.24', 0.9910470843315125)], [[[64.0, 177.0], [124.0, 177.0], [124.0, 194.0], [64.0, 194.0]], ('TOTAL', 0.9981151819229126)], [[[181.0, 176.0], [254.0, 174.0], [254.0, 189.0], [181.0, 191.0]], ('$27.14', 0.9821634888648987)], [[[137.0, 218.0], [196.0, 218.0], [196.0, 232.0], [137.0, 232.0]], ('TOGO', 0.979630708694458)], [[[89.0, 234.0], [155.0, 234.0], [155.0, 248.0], [89.0, 248.0]], ('Time:19:57', 0.8913499116897583)], [[[181.0, 232.0], [243.0, 231.0], [243.0, 246.0], [181.0, 247.0]], ('1CUSTOMER', 0.9061386585235596)], [[[147.0, 262.0], [211.0, 262.0], [211.0, 276.0], [147.0, 276.0]], ('WELCOME TO', 0.9351369142532349)], [[[125.0, 278.0], [216.0, 278.0], [216.0, 292.0], [125.0, 292.0]], ('LA FOGATA *', 0.903443455696106)], [[[107.0, 304.0], [230.0, 308.0], [229.0, 324.0], [107.0, 321.0]], ('YOU HAVE BEEN SERVED', 0.9522712826728821)], [[[116.0, 321.0], [218.0, 324.0], [217.0, 339.0], [116.0, 336.0]], ('BYCARL DINNER', 0.9673559665679932)]]	{"store_name": "AuthenticMexicanFood LAFOGATA", "store_addr": "", "telephone": "", "date": "MARCH22,2014", "time": "19:57", "subtotal": "$24.90", "tax": "$2.24", "total": "$27.14", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "#62CHEESEENCH", "item_value": "$8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MACHOSNACHOS", "item_value": "$5.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CHICKMILANESA", "item_value": "$10.45", "item_quantity": "1"}, {"item_key": "", "item_name": "FLOURTORT", "item_value": "$0.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[295.0, 42.0], [756.0, 34.0], [756.0, 70.0], [296.0, 78.0]], ('The Unruly Pig, Orford Road', 0.9250492453575134)], [[[359.0, 86.0], [706.0, 79.0], [706.0, 115.0], [360.0, 122.0]], ('Bromeswe11IP122PU', 0.9751360416412354)], [[[409.0, 131.0], [656.0, 126.0], [657.0, 163.0], [410.0, 169.0]], ('T01394460310', 0.9954571723937988)], [[[184.0, 224.0], [294.0, 224.0], [294.0, 263.0], [184.0, 263.0]], ('Till 1', 0.8768705725669861)], [[[183.0, 273.0], [311.0, 273.0], [311.0, 312.0], [183.0, 312.0]], ('Brendan', 0.9971365332603455)], [[[587.0, 267.0], [883.0, 263.0], [883.0, 301.0], [588.0, 304.0]], ('12 Sep2016 12:02', 0.9218506217002869)], [[[186.0, 368.0], [464.0, 368.0], [464.0, 405.0], [186.0, 405.0]], ('Table:101 C:2', 0.8474912643432617)], [[[653.0, 362.0], [884.0, 358.0], [885.0, 396.0], [654.0, 399.0]], ('ORDER#3006', 0.9909303784370422)], [[[231.0, 468.0], [258.0, 468.0], [258.0, 503.0], [231.0, 503.0]], ('2', 0.9913594126701355)], [[[341.0, 468.0], [481.0, 468.0], [481.0, 500.0], [341.0, 500.0]], ('Cortesse', 0.9987726211547852)], [[[234.0, 513.0], [258.0, 513.0], [258.0, 549.0], [234.0, 549.0]], ('1', 0.7848179340362549)], [[[337.0, 513.0], [498.0, 509.0], [499.0, 548.0], [338.0, 552.0]], ('Antipasti', 0.9973023533821106)], [[[236.0, 563.0], [255.0, 563.0], [255.0, 595.0], [236.0, 595.0]], ('1', 0.8806081414222717)], [[[337.0, 561.0], [601.0, 558.0], [602.0, 595.0], [338.0, 599.0]], ('Avocado Veloute', 0.9703672528266907)], [[[233.0, 609.0], [256.0, 609.0], [256.0, 647.0], [233.0, 647.0]], ('1', 0.8516718149185181)], [[[334.0, 608.0], [412.0, 608.0], [412.0, 648.0], [334.0, 648.0]], ('Rump', 0.997675895690918)], [[[234.0, 658.0], [253.0, 658.0], [253.0, 692.0], [234.0, 692.0]], ('1', 0.6075740456581116)], [[[339.0, 656.0], [552.0, 656.0], [552.0, 693.0], [339.0, 693.0]], ('TRUFFLE MAYO', 0.9603464007377625)], [[[236.0, 706.0], [255.0, 706.0], [255.0, 740.0], [236.0, 740.0]], ('1', 0.5893582701683044)], [[[334.0, 703.0], [414.0, 703.0], [414.0, 743.0], [334.0, 743.0]], ('Pork', 0.9973067045211792)], [[[370.0, 750.0], [498.0, 750.0], [498.0, 793.0], [370.0, 793.0]], ('Charity', 0.9981129765510559)], [[[224.0, 800.0], [255.0, 797.0], [260.0, 841.0], [229.0, 844.0]], ('2', 0.9936131834983826)], [[[335.0, 798.0], [463.0, 801.0], [462.0, 839.0], [334.0, 835.0]], ('Baileys', 0.9894538521766663)], [[[228.0, 849.0], [255.0, 849.0], [255.0, 887.0], [228.0, 887.0]], ('1', 0.9874207377433777)], [[[338.0, 851.0], [511.0, 851.0], [511.0, 884.0], [338.0, 884.0]], ('Courvosier', 0.9969035983085632)], [[[227.0, 896.0], [255.0, 896.0], [255.0, 938.0], [227.0, 938.0]], ('2', 0.9872293472290039)], [[[334.0, 896.0], [445.0, 896.0], [445.0, 935.0], [334.0, 935.0]], ('Double', 0.9926636815071106)], [[[333.0, 944.0], [511.0, 944.0], [511.0, 982.0], [333.0, 982.0]], ('Courvosier', 0.9910208582878113)], [[[222.0, 994.0], [253.0, 994.0], [253.0, 1039.0], [222.0, 1039.0]], ('2', 0.9931325316429138)], [[[333.0, 996.0], [445.0, 996.0], [445.0, 1035.0], [333.0, 1035.0]], ('Double', 0.9894611239433289)], [[[332.0, 1045.0], [461.0, 1049.0], [460.0, 1088.0], [331.0, 1084.0]], ('Baileys', 0.9725608825683594)], [[[228.0, 1103.0], [248.0, 1103.0], [248.0, 1133.0], [228.0, 1133.0]], ('1', 0.6809324026107788)], [[[331.0, 1096.0], [444.0, 1096.0], [444.0, 1134.0], [331.0, 1134.0]], ('Delice', 0.996894359588623)], [[[225.0, 1153.0], [247.0, 1153.0], [247.0, 1186.0], [225.0, 1186.0]], ('1', 0.5064169764518738)], [[[333.0, 1150.0], [600.0, 1150.0], [600.0, 1187.0], [333.0, 1187.0]], ('Sparkling Water', 0.9615997076034546)], [[[170.0, 1248.0], [344.0, 1248.0], [344.0, 1292.0], [170.0, 1292.0]], ('Total', 0.9965068697929382)], [[[641.0, 1251.0], [892.0, 1251.0], [892.0, 1289.0], [641.0, 1289.0]], ('147.85', 0.9956009387969971)], [[[277.0, 1454.0], [459.0, 1454.0], [459.0, 1491.0], [277.0, 1491.0]], ('ORDER', 0.9916685819625854)], [[[491.0, 1457.0], [602.0, 1457.0], [602.0, 1491.0], [491.0, 1491.0]], ('#', 0.7187028527259827)], [[[600.0, 1452.0], [748.0, 1452.0], [748.0, 1491.0], [600.0, 1491.0]], ('3006', 0.99806147813797)]]	{"store_name": "", "store_addr": "Bromeswell,IP122PU TheUnrulyPig,OrfordRoad", "telephone": "01394460310", "date": "12Sep2016", "time": "12:02", "subtotal": "", "tax": "", "total": "\u00a3147.85", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Charity", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Baileys", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Courvosier", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Double", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Courvosier", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Double", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Delice", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SparklingWater", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Baileys", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Pork", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "TRUFFLEMAYO", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Rump", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "AvocadoVeloute", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Antipasti", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Cortesse", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[294.0, 63.0], [510.0, 79.0], [508.0, 104.0], [292.0, 88.0]], ('LAX-Termina12', 0.9376184940338135)], [[[306.0, 85.0], [484.0, 102.0], [482.0, 127.0], [304.0, 110.0]], ('200 Wor1d Way', 0.9090712070465088)], [[[251.0, 103.0], [537.0, 129.0], [534.0, 157.0], [248.0, 132.0]], ('Los AngelesCA 90045', 0.9539688229560852)], [[[311.0, 132.0], [500.0, 153.0], [497.0, 178.0], [308.0, 158.0]], ('310301-8070', 0.9929655194282532)], [[[134.0, 173.0], [308.0, 176.0], [308.0, 202.0], [133.0, 199.0]], ('1005 Karen P', 0.9297453761100769)], [[[110.0, 226.0], [234.0, 224.0], [235.0, 252.0], [110.0, 254.0]], ('Chk 6327', 0.9433090090751648)], [[[390.0, 239.0], [439.0, 245.0], [435.0, 274.0], [386.0, 268.0]], ('RON', 0.9982873797416687)], [[[294.0, 257.0], [516.0, 281.0], [513.0, 309.0], [291.0, 286.0]], ("Ju128'1507:28AM", 0.9271252751350403)], [[[587.0, 258.0], [673.0, 258.0], [673.0, 289.0], [587.0, 289.0]], ('Gst1', 0.9437382221221924)], [[[169.0, 304.0], [320.0, 313.0], [318.0, 342.0], [167.0, 333.0]], ('Built', 0.9837054014205933)], [[[349.0, 320.0], [512.0, 337.0], [510.0, 362.0], [346.0, 345.0]], ('Burger', 0.9943631291389465)], [[[132.0, 332.0], [292.0, 339.0], [291.0, 368.0], [131.0, 361.0]], ('2 Eggs/Chz', 0.9462870359420776)], [[[131.0, 359.0], [396.0, 376.0], [394.0, 404.0], [129.0, 387.0]], ('1 Add Bacon BFast', 0.9439060091972351)], [[[574.0, 364.0], [645.0, 364.0], [645.0, 391.0], [574.0, 391.0]], ('18.80', 0.9977596402168274)], [[[130.0, 386.0], [336.0, 403.0], [334.0, 432.0], [127.0, 415.0]], ('1 Add Sausage', 0.9428623914718628)], [[[587.0, 392.0], [646.0, 392.0], [646.0, 420.0], [587.0, 420.0]], ('1.00', 0.9960017204284668)], [[[155.0, 421.0], [319.0, 434.0], [317.0, 463.0], [153.0, 450.0]], ('Shoestring', 0.9982965588569641)], [[[589.0, 420.0], [648.0, 420.0], [648.0, 447.0], [589.0, 447.0]], ('1.00', 0.9912967085838318)], [[[125.0, 450.0], [258.0, 459.0], [256.0, 491.0], [123.0, 483.0]], ('1 Coffee', 0.9533165693283081)], [[[591.0, 448.0], [651.0, 448.0], [651.0, 476.0], [591.0, 476.0]], ('4.40', 0.9945114254951477)], [[[592.0, 472.0], [656.0, 477.0], [654.0, 508.0], [590.0, 504.0]], ('3.45', 0.994755208492279)], [[[154.0, 485.0], [228.0, 489.0], [225.0, 524.0], [152.0, 520.0]], ('Cash', 0.9891459345817566)], [[[584.0, 502.0], [659.0, 506.0], [657.0, 536.0], [582.0, 532.0]], ('40.00', 0.9939010739326477)], [[[151.0, 545.0], [285.0, 550.0], [284.0, 584.0], [150.0, 579.0]], ('Subtotal', 0.996293306350708)], [[[588.0, 556.0], [664.0, 559.0], [663.0, 590.0], [587.0, 587.0]], ('28.65', 0.9873127937316895)], [[[149.0, 579.0], [208.0, 584.0], [206.0, 617.0], [146.0, 613.0]], ('Tax', 0.9972435832023621)], [[[602.0, 589.0], [668.0, 589.0], [668.0, 621.0], [602.0, 621.0]], ('2.58', 0.9941446781158447)], [[[146.0, 614.0], [268.0, 617.0], [267.0, 650.0], [146.0, 648.0]], ('Payment', 0.9981673359870911)], [[[593.0, 618.0], [669.0, 621.0], [668.0, 652.0], [592.0, 650.0]], ('31.23', 0.9918049573898315)], [[[146.0, 652.0], [316.0, 652.0], [316.0, 684.0], [146.0, 684.0]], ('ChangeDue', 0.9967012405395508)], [[[608.0, 652.0], [670.0, 652.0], [670.0, 684.0], [608.0, 684.0]], ('8.77', 0.9963483810424805)], [[[255.0, 688.0], [539.0, 688.0], [539.0, 716.0], [255.0, 716.0]], ('-1003 Check C1osed', 0.8925846815109253)], [[[273.0, 723.0], [542.0, 723.0], [542.0, 751.0], [273.0, 751.0]], ('Ju1281507:35AM', 0.9552628397941589)], [[[140.0, 825.0], [530.0, 816.0], [531.0, 849.0], [141.0, 858.0]], ('ThankYou!!!', 0.9699472188949585)], [[[291.0, 860.0], [537.0, 855.0], [537.0, 883.0], [291.0, 888.0]], ('Like us on Yelp', 0.8926333785057068)], [[[292.0, 893.0], [506.0, 889.0], [506.0, 918.0], [292.0, 921.0]], ('Crews1972.com', 0.9945495128631592)], [[[290.0, 926.0], [660.0, 917.0], [661.0, 945.0], [290.0, 953.0]], ('WeCarelax@crews1972.com', 0.9818243980407715)]]	{"store_name": "LAX-Terminal2", "store_addr": "200WorldWay LosAngeles,CA90045", "telephone": "301(301)-8070", "date": "Jul28'15 Jul28'15", "time": "07:28AM 07:35AM", "subtotal": "28.65", "tax": "2.58", "total": "31.23", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Eggs/Chz", "item_value": "18.80", "item_quantity": "1"}, {"item_key": "", "item_name": "AddBaconBFast", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AddSausage", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Shoestring", "item_value": "4.40", "item_quantity": "1"}, {"item_key": "", "item_name": "Coffee", "item_value": "3.45", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "40.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[143.0, 57.0], [318.0, 57.0], [318.0, 74.0], [143.0, 74.0]], ('WELCOMETO', 0.9871544241905212)], [[[141.0, 75.0], [297.0, 75.0], [297.0, 89.0], [141.0, 89.0]], ('OURSTOFE', 0.877700686454773)], [[[129.0, 144.0], [491.0, 132.0], [492.0, 166.0], [130.0, 178.0]], ('Date Canceled on him', 0.8774512410163879)], [[[152.0, 181.0], [214.0, 185.0], [213.0, 206.0], [151.0, 202.0]], ('Descr.', 0.9580885767936707)], [[[334.0, 180.0], [367.0, 180.0], [367.0, 199.0], [334.0, 199.0]], ('cty', 0.906541109085083)], [[[450.0, 177.0], [510.0, 174.0], [511.0, 193.0], [451.0, 196.0]], ('amount', 0.9872281551361084)], [[[195.0, 222.0], [380.0, 217.0], [381.0, 238.0], [196.0, 243.0]], ('REFUN', 0.9888753890991211)], [[[392.0, 219.0], [415.0, 219.0], [415.0, 236.0], [392.0, 236.0]], ('D', 0.651060163974762)], [[[356.0, 242.0], [370.0, 242.0], [370.0, 258.0], [356.0, 258.0]], ('1', 0.9523314833641052)], [[[467.0, 235.0], [522.0, 235.0], [522.0, 256.0], [467.0, 256.0]], ('-3.59', 0.9628793597221375)], [[[115.0, 247.0], [308.0, 243.0], [308.0, 261.0], [116.0, 265.0]], ('TR TROJAN ULTRA THN', 0.8862773776054382)], [[[294.0, 286.0], [389.0, 283.0], [390.0, 304.0], [295.0, 307.0]], ('Sub Total', 0.8937970399856567)], [[[472.0, 280.0], [528.0, 280.0], [528.0, 302.0], [472.0, 302.0]], ('-3.59', 0.8920412063598633)], [[[358.0, 309.0], [394.0, 309.0], [394.0, 329.0], [358.0, 329.0]], ('Tax', 0.9961028099060059)], [[[475.0, 303.0], [532.0, 303.0], [532.0, 328.0], [475.0, 328.0]], ('-0.22', 0.8447397947311401)], [[[232.0, 335.0], [336.0, 332.0], [337.0, 354.0], [233.0, 357.0]], ('TOTAL', 0.9935776591300964)], [[[436.0, 330.0], [530.0, 330.0], [530.0, 351.0], [436.0, 351.0]], ('3.81', 0.9880404472351074)], [[[346.0, 356.0], [430.0, 354.0], [431.0, 378.0], [347.0, 381.0]], ('CASH $', 0.9321608543395996)], [[[479.0, 355.0], [537.0, 355.0], [537.0, 377.0], [479.0, 377.0]], ('-3.81', 0.9020807147026062)], [[[94.0, 392.0], [404.0, 383.0], [404.0, 403.0], [94.0, 412.0]], ('THANK YOU PLE4SE COME AGAIN!', 0.8938332200050354)], [[[114.0, 419.0], [397.0, 411.0], [398.0, 431.0], [115.0, 439.0]], ('EG# 00Q3 CS1002 DF01', 0.8110219836235046)], [[[417.0, 412.0], [543.0, 408.0], [543.0, 429.0], [418.0, 433.0]], ('TRAN#33469', 0.9521368741989136)], [[[109.0, 447.0], [317.0, 440.0], [317.0, 464.0], [110.0, 471.0]], ('03/22/1503:31:25', 0.9595733880996704)], [[[442.0, 438.0], [548.0, 435.0], [548.0, 460.0], [442.0, 463.0]], ('ST#69709', 0.9788858294487)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "03/22/15", "time": "09:31:25", "subtotal": "\ufe633.59", "tax": "\ufe630.22", "total": "\ufe633.81", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TRTROJANULTRATHN", "item_value": "\ufe633.59", "item_quantity": "1"}, {"item_key": "Descr", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[158.0, 0.0], [189.0, 0.0], [189.0, 12.0], [158.0, 12.0]], ('Crub', 0.8724991083145142)], [[[87.0, 12.0], [253.0, 12.0], [253.0, 26.0], [87.0, 26.0]], ('Tower 3,Marina Bay Sands', 0.9142505526542664)], [[[119.0, 29.0], [226.0, 29.0], [226.0, 43.0], [119.0, 43.0]], ('Singapore 018971', 0.9691914319992065)], [[[65.0, 45.0], [274.0, 42.0], [274.0, 58.0], [65.0, 61.0]], ('Company Reg/GSTNo:200914857K', 0.9572996497154236)], [[[132.0, 61.0], [207.0, 61.0], [207.0, 75.0], [132.0, 75.0]], ('TAX INVOICE', 0.9732895493507385)], [[[39.0, 93.0], [191.0, 93.0], [191.0, 107.0], [39.0, 107.0]], ('214066 Siti Wahidahwaty', 0.9301524758338928)], [[[300.0, 94.0], [307.0, 94.0], [307.0, 107.0], [300.0, 107.0]], ('1', 0.5313035249710083)], [[[37.0, 127.0], [112.0, 127.0], [112.0, 141.0], [37.0, 141.0]], ('CHK 1087313', 0.9551318883895874)], [[[136.0, 127.0], [199.0, 127.0], [199.0, 141.0], [136.0, 141.0]], ('TBL 203/1', 0.9392649531364441)], [[[272.0, 127.0], [309.0, 127.0], [309.0, 142.0], [272.0, 142.0]], ('GST 2', 0.9012158513069153)], [[[112.0, 143.0], [234.0, 143.0], [234.0, 157.0], [112.0, 157.0]], ("16DEC'1518:18PM", 0.9375895261764526)], [[[114.0, 174.0], [214.0, 176.0], [213.0, 193.0], [114.0, 191.0]], ('Dine In', 0.9622277021408081)], [[[40.0, 193.0], [115.0, 193.0], [115.0, 207.0], [40.0, 207.0]], ('1Tiger Bt', 0.9645933508872986)], [[[251.0, 188.0], [289.0, 191.0], [288.0, 210.0], [250.0, 208.0]], ('16.00', 0.9943031072616577)], [[[39.0, 207.0], [239.0, 209.0], [239.0, 226.0], [39.0, 224.0]], ('1 Craggy Range Chardonnay Gls', 0.946660578250885)], [[[53.0, 224.0], [86.0, 224.0], [86.0, 242.0], [53.0, 242.0]], ('Club', 0.9852242469787598)], [[[249.0, 225.0], [289.0, 225.0], [289.0, 243.0], [249.0, 243.0]], ('26.00', 0.994473934173584)], [[[54.0, 257.0], [109.0, 257.0], [109.0, 274.0], [54.0, 274.0]], ('Subtotal', 0.9780756235122681)], [[[244.0, 260.0], [286.0, 260.0], [286.0, 275.0], [244.0, 275.0]], ('$42.00', 0.993640124797821)], [[[55.0, 273.0], [178.0, 275.0], [178.0, 292.0], [54.0, 290.0]], ('10% Service Charge', 0.9371188282966614)], [[[249.0, 277.0], [286.0, 277.0], [286.0, 292.0], [249.0, 292.0]], ('$4.20', 0.9951508641242981)], [[[56.0, 291.0], [80.0, 291.0], [80.0, 306.0], [56.0, 306.0]], ('Tax', 0.9928898811340332)], [[[249.0, 292.0], [286.0, 292.0], [286.0, 310.0], [249.0, 310.0]], ('$3.23', 0.994646430015564)], [[[53.0, 304.0], [111.0, 307.0], [111.0, 325.0], [52.0, 322.0]], ('Rounding', 0.9843335151672363)], [[[249.0, 310.0], [285.0, 310.0], [285.0, 325.0], [249.0, 325.0]], ('$0.02', 0.9934447407722473)], [[[32.0, 321.0], [127.0, 325.0], [126.0, 342.0], [31.0, 338.0]], ('Payment', 0.998316764831543)], [[[221.0, 324.0], [305.0, 327.0], [304.0, 344.0], [221.0, 341.0]], ('$49.45', 0.9975116848945618)], [[[31.0, 338.0], [169.0, 343.0], [168.0, 361.0], [30.0, 356.0]], ('Change Due', 0.9639766812324524)], [[[236.0, 344.0], [305.0, 344.0], [305.0, 361.0], [236.0, 361.0]], ('$0.55', 0.9943593740463257)], [[[48.0, 354.0], [81.0, 357.0], [79.0, 376.0], [46.0, 373.0]], ('Cash', 0.9955037236213684)], [[[243.0, 362.0], [287.0, 362.0], [287.0, 377.0], [243.0, 377.0]], ('$50.00', 0.991805374622345)], [[[46.0, 375.0], [79.0, 375.0], [79.0, 394.0], [46.0, 394.0]], ('Cash', 0.9943294525146484)], [[[243.0, 379.0], [287.0, 379.0], [287.0, 397.0], [243.0, 397.0]], ('-$0.55', 0.9646521210670471)], [[[121.0, 413.0], [212.0, 415.0], [211.0, 432.0], [120.0, 430.0]], ('Check Closed', 0.9640889763832092)], [[[101.0, 430.0], [232.0, 433.0], [231.0, 449.0], [100.0, 448.0]], ("16DEC'15 18:21PM", 0.9179731607437134)]]	{"store_name": "", "store_addr": "Singapore018971 Tower3,MarinaBaySands", "telephone": "", "date": "16DEC'15 16DEC'15", "time": "18:21PM", "subtotal": "$42.00", "tax": "$3.23", "total": "$49.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Club", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CraggyRangeChardonnayGls", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TigerBtl", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[350.0, 26.0], [515.0, 33.0], [514.0, 62.0], [349.0, 55.0]], ('6Cowper Wharf Rd', 0.91452556848526)], [[[370.0, 48.0], [496.0, 55.0], [495.0, 84.0], [368.0, 77.0]], ('Woo1loosco1oo', 0.6995446085929871)], [[[371.0, 70.0], [507.0, 77.0], [505.0, 106.0], [370.0, 99.0]], ('1300KINGSLEYS', 0.9866295456886292)], [[[341.0, 95.0], [524.0, 101.0], [523.0, 129.0], [340.0, 122.0]], ('ABN28 130 078 590', 0.894158124923706)], [[[254.0, 142.0], [342.0, 142.0], [342.0, 163.0], [254.0, 163.0]], ('1010 RYAN', 0.936457633972168)], [[[242.0, 185.0], [321.0, 185.0], [321.0, 209.0], [242.0, 209.0]], ('Tb129/1', 0.9288907647132874)], [[[405.0, 182.0], [475.0, 187.0], [473.0, 212.0], [403.0, 208.0]], ('Chk701', 0.9658686518669128)], [[[565.0, 190.0], [632.0, 193.0], [631.0, 219.0], [564.0, 216.0]], ('Gst 2', 0.8819854855537415)], [[[367.0, 205.0], [504.0, 211.0], [503.0, 239.0], [366.0, 233.0]], ('11May15 12:59', 0.9370772242546082)], [[[257.0, 252.0], [399.0, 254.0], [399.0, 275.0], [257.0, 273.0]], ('2St1118.50', 0.810784637928009)], [[[550.0, 258.0], [601.0, 258.0], [601.0, 280.0], [550.0, 280.0]], ('17.00', 0.9915138483047485)], [[[255.0, 275.0], [523.0, 280.0], [522.0, 303.0], [254.0, 298.0]], ('3 GLS Cloudy Bay SB @ 15.00', 0.8921380043029785)], [[[548.0, 280.0], [602.0, 280.0], [602.0, 305.0], [548.0, 305.0]], ('45.00', 0.9964305758476257)], [[[277.0, 298.0], [379.0, 301.0], [379.0, 325.0], [276.0, 322.0]], ('Sauv Blanc', 0.9340665936470032)], [[[254.0, 325.0], [397.0, 322.0], [398.0, 346.0], [255.0, 348.0]], ('2Spark 8.50', 0.954261064529419)], [[[550.0, 328.0], [601.0, 328.0], [601.0, 350.0], [550.0, 350.0]], ('17.00', 0.9962238073348999)], [[[256.0, 347.0], [434.0, 348.0], [433.0, 371.0], [255.0, 370.0]], ('8S&P Pran 3.75', 0.9021932482719421)], [[[549.0, 352.0], [601.0, 352.0], [601.0, 373.0], [549.0, 373.0]], ('30.00', 0.9930615425109863)], [[[255.0, 370.0], [418.0, 372.0], [417.0, 396.0], [254.0, 393.0]], ('1 Fillet 39.90', 0.8495286107063293)], [[[549.0, 376.0], [601.0, 376.0], [601.0, 398.0], [549.0, 398.0]], ('39.90', 0.9960721135139465)], [[[258.0, 398.0], [444.0, 398.0], [444.0, 417.0], [258.0, 417.0]], ('1MixedDoz 36.90', 0.9493097066879272)], [[[548.0, 399.0], [601.0, 399.0], [601.0, 421.0], [548.0, 421.0]], ('36.90', 0.983285129070282)], [[[256.0, 419.0], [494.0, 420.0], [494.0, 443.0], [255.0, 442.0]], ('4 Paul Vattan SB @ 85.00', 0.8847640156745911)], [[[539.0, 421.0], [602.0, 421.0], [602.0, 445.0], [539.0, 445.0]], ('340.00', 0.9950098395347595)], [[[277.0, 444.0], [359.0, 447.0], [358.0, 467.0], [276.0, 465.0]], ('Sancerre', 0.9977871179580688)], [[[254.0, 468.0], [425.0, 466.0], [426.0, 490.0], [255.0, 493.0]], ('2 Rib Eye 41.90', 0.9357978105545044)], [[[548.0, 466.0], [604.0, 469.0], [603.0, 494.0], [546.0, 491.0]], ('83.80', 0.9965065121650696)], [[[257.0, 494.0], [483.0, 494.0], [483.0, 513.0], [257.0, 513.0]], ('10akleigh Cube 69.90', 0.9076310992240906)], [[[548.0, 491.0], [602.0, 491.0], [602.0, 517.0], [548.0, 517.0]], ('69.90', 0.993748664855957)], [[[256.0, 518.0], [473.0, 518.0], [473.0, 538.0], [256.0, 538.0]], ('2 Angus Fillet 49.90', 0.86846524477005)], [[[549.0, 513.0], [604.0, 516.0], [603.0, 542.0], [548.0, 538.0]], ('99.80', 0.9857348203659058)], [[[253.0, 540.0], [503.0, 539.0], [503.0, 562.0], [253.0, 563.0]], ('2Steamed Brocco119.90', 0.9149790406227112)], [[[551.0, 538.0], [603.0, 541.0], [601.0, 565.0], [550.0, 562.0]], ('19.80', 0.994525134563446)], [[[254.0, 564.0], [397.0, 564.0], [397.0, 587.0], [254.0, 587.0]], ('1 Chips e 8.90', 0.8641233444213867)], [[[557.0, 563.0], [604.0, 563.0], [604.0, 589.0], [557.0, 589.0]], ('8.90', 0.9955477714538574)], [[[257.0, 590.0], [453.0, 590.0], [453.0, 609.0], [257.0, 609.0]], ('1 Green Beans 9.90', 0.9041464924812317)], [[[558.0, 589.0], [602.0, 589.0], [602.0, 610.0], [558.0, 610.0]], ("06'6", 0.884131908416748)], [[[256.0, 613.0], [435.0, 613.0], [435.0, 636.0], [256.0, 636.0]], ('1Green Tea 4.50', 0.9242643117904663)], [[[560.0, 612.0], [602.0, 612.0], [602.0, 635.0], [560.0, 635.0]], ('4.50', 0.9915883541107178)], [[[254.0, 636.0], [397.0, 636.0], [397.0, 659.0], [254.0, 659.0]], ('2Latte4.50', 0.9868470430374146)], [[[557.0, 635.0], [604.0, 635.0], [604.0, 660.0], [557.0, 660.0]], ('9.00', 0.9940078258514404)], [[[254.0, 660.0], [453.0, 660.0], [453.0, 683.0], [254.0, 683.0]], ('1DOUBLE SHOT@0.50', 0.9275888800621033)], [[[556.0, 660.0], [605.0, 660.0], [605.0, 686.0], [556.0, 686.0]], ('0.50', 0.9854178428649902)], [[[273.0, 686.0], [311.0, 686.0], [311.0, 708.0], [273.0, 708.0]], ('1%', 0.8892581462860107)], [[[273.0, 710.0], [394.0, 710.0], [394.0, 733.0], [273.0, 733.0]], ('Merchant Fee', 0.9295588135719299)], [[[556.0, 706.0], [605.0, 709.0], [603.0, 736.0], [554.0, 733.0]], ('8.30', 0.9896950721740723)], [[[271.0, 756.0], [317.0, 756.0], [317.0, 782.0], [271.0, 782.0]], ('Food', 0.993620753288269)], [[[539.0, 757.0], [604.0, 757.0], [604.0, 782.0], [539.0, 782.0]], ('398.90', 0.9974967837333679)], [[[270.0, 780.0], [356.0, 783.0], [356.0, 807.0], [269.0, 805.0]], ('Beverage', 0.9949068427085876)], [[[538.0, 779.0], [603.0, 782.0], [602.0, 807.0], [537.0, 804.0]], ('433.00', 0.9937538504600525)], [[[273.0, 807.0], [372.0, 807.0], [372.0, 828.0], [273.0, 828.0]], ('GST in Tt1', 0.8383392095565796)], [[[547.0, 806.0], [602.0, 806.0], [602.0, 831.0], [547.0, 831.0]], ('76.37', 0.9969549179077148)], [[[272.0, 831.0], [394.0, 831.0], [394.0, 854.0], [272.0, 854.0]], ('OtherCharges', 0.9954667091369629)], [[[555.0, 830.0], [602.0, 830.0], [602.0, 856.0], [555.0, 856.0]], ('8.30', 0.9959328770637512)], [[[271.0, 856.0], [365.0, 856.0], [365.0, 880.0], [271.0, 880.0]], ('Total Due', 0.9310927987098694)], [[[479.0, 853.0], [600.0, 856.0], [600.0, 880.0], [479.0, 877.0]], ('840.20', 0.9974358081817627)], [[[268.0, 908.0], [364.0, 908.0], [364.0, 932.0], [268.0, 932.0]], ('Thank you', 0.9696295261383057)], [[[267.0, 933.0], [420.0, 928.0], [421.0, 951.0], [268.0, 956.0]], ('TAX INVOICE', 0.9250420331954956)], [[[266.0, 959.0], [510.0, 953.0], [510.0, 976.0], [266.0, 982.0]], ('Credit Card transactions', 0.9705867767333984)], [[[267.0, 984.0], [500.0, 978.0], [501.0, 1001.0], [267.0, 1007.0]], ('incur a 1% merchant fee', 0.9236632585525513)], [[[263.0, 1007.0], [551.0, 1001.0], [552.0, 1029.0], [264.0, 1035.0]], ('Please leave feedback on the', 0.9476190209388733)], [[[262.0, 1033.0], [512.0, 1028.0], [512.0, 1055.0], [263.0, 1060.0]], ('website kingsleys.com.au', 0.965065062046051)], [[[220.0, 1065.0], [430.0, 1055.0], [432.0, 1080.0], [222.0, 1090.0]], ('GST Exclusive Item', 0.9243789315223694)]]	{"store_name": "", "store_addr": "1300KINGSLEYS 6", "telephone": "", "date": "11May\u201915", "time": "12:59", "subtotal": "", "tax": "76.37", "total": "840.20", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MerchantFee", "item_value": "8.30", "item_quantity": "1"}, {"item_key": "", "item_name": "DOUBLESHOT@0.50", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Latte@4.50", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GreenTea@4.50", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "GreenBeans@9.90", "item_value": "9.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Chips@8.90", "item_value": "8.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SteamedBroccoli@9.90", "item_value": "19.80", "item_quantity": "1"}, {"item_key": "", "item_name": "AngusFillet@49.90", "item_value": "99.80", "item_quantity": "1"}, {"item_key": "", "item_name": "DakleighCube@69.90", "item_value": "69.90", "item_quantity": "1"}, {"item_key": "", "item_name": "RibEye@41.90", "item_value": "83.80", "item_quantity": "1"}, {"item_key": "", "item_name": "Sancerre", "item_value": "340.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PaulVattanSB@85.00", "item_value": "36.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MixedDoz@36.90", "item_value": "39.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Fillet@39.90", "item_value": "30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "S&PPrawn@3.75", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Spark@8.50", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SauvBlanc", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLSCloudyBaySB@15.00", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Still@8.50", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[194.0, 0.0], [273.0, 0.0], [275.0, 11.0], [196.0, 16.0]], ('917580641', 0.9652116298675537)], [[[154.0, 44.0], [315.0, 38.0], [316.0, 55.0], [155.0, 61.0]], ('RECIBODECOBRO', 0.9906008243560791)], [[[54.0, 89.0], [180.0, 84.0], [181.0, 101.0], [55.0, 106.0]], ('NT051002933', 0.9735874533653259)], [[[49.0, 104.0], [437.0, 94.0], [437.0, 114.0], [50.0, 124.0]], ('Tienda:TT05 Caja:01 Fecha:22/01/2018 172314', 0.9296088218688965)], [[[59.0, 163.0], [236.0, 159.0], [236.0, 176.0], [60.0, 180.0]], ('Espectaculo Flamenco en', 0.9737059473991394)], [[[60.0, 181.0], [143.0, 181.0], [143.0, 195.0], [60.0, 195.0]], ('Cate de Ch', 0.8711816668510437)], [[[20.0, 202.0], [149.0, 200.0], [150.0, 217.0], [20.0, 219.0]], ('2>Titulo Adulto', 0.932666003704071)], [[[335.0, 196.0], [447.0, 195.0], [447.0, 213.0], [336.0, 214.0]], ('82,00164,00', 0.9027776718139648)], [[[200.0, 245.0], [423.0, 245.0], [423.0, 266.0], [200.0, 266.0]], ('TOTAL:164.00e', 0.8902677297592163)], [[[324.0, 278.0], [427.0, 278.0], [427.0, 295.0], [324.0, 295.0]], ('IVA INCLUIDO', 0.9647393822669983)], [[[146.0, 324.0], [301.0, 329.0], [300.0, 353.0], [145.0, 348.0]], ('Forma de Pago:', 0.9292653203010559)], [[[66.0, 354.0], [144.0, 358.0], [143.0, 383.0], [65.0, 379.0]], ('Tarjeta:', 0.9649020433425903)], [[[310.0, 359.0], [397.0, 359.0], [397.0, 383.0], [310.0, 383.0]], ('164,00', 0.8932430744171143)], [[[65.0, 402.0], [168.0, 405.0], [167.0, 426.0], [64.0, 423.0]], ('ENTREGA', 0.9971386790275574)], [[[67.0, 430.0], [203.0, 433.0], [203.0, 449.0], [66.0, 447.0]], ('DEVOLUCION', 0.9807745814323425)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "22/01/2018", "time": "17:23:14", "subtotal": "", "tax": "", "total": "164,00\u20ac 164.00\u20ac", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": ">TituloAdulto", "item_value": "164,00", "item_quantity": "1"}, {"item_key": "", "item_name": "\"Caf\u00e9deCh", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "EspectaculoFlamencoen", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[33.0, 41.0], [102.0, 44.0], [100.0, 95.0], [31.0, 91.0]], ('TABOO', 0.9851530194282532)], [[[38.0, 89.0], [198.0, 105.0], [196.0, 129.0], [36.0, 113.0]], ('GREY GOOSE BAR', 0.9340996146202087)], [[[38.0, 121.0], [220.0, 134.0], [218.0, 155.0], [36.0, 142.0]], ('24 FREDMAN DRIVE', 0.9432344436645508)], [[[35.0, 147.0], [341.0, 158.0], [340.0, 189.0], [33.0, 178.0]], ('SANDTONTEL:011 7832200', 0.9403951168060303)], [[[37.0, 177.0], [164.0, 186.0], [163.0, 209.0], [35.0, 200.0]], ('Tax Details', 0.9567991495132446)], [[[37.0, 234.0], [208.0, 241.0], [207.0, 265.0], [36.0, 258.0]], ('Tax Inv No 1', 0.9084380269050598)], [[[37.0, 261.0], [112.0, 268.0], [110.0, 292.0], [35.0, 285.0]], ('Covers', 0.9965248107910156)], [[[156.0, 270.0], [207.0, 270.0], [207.0, 292.0], [156.0, 292.0]], ('1', 0.9538036584854126)], [[[31.0, 286.0], [246.0, 290.0], [244.0, 343.0], [29.0, 339.0]], ('STAFFBlade', 0.9747638702392578)], [[[38.0, 337.0], [142.0, 339.0], [142.0, 360.0], [38.0, 358.0]], ('Table100', 0.9857836961746216)], [[[39.0, 365.0], [281.0, 366.0], [281.0, 387.0], [39.0, 386.0]], ('29 November 2017 15:23', 0.9151033759117126)], [[[73.0, 420.0], [302.0, 419.0], [302.0, 440.0], [74.0, 441.0]], ('4 Ace Go1d @R11200.00', 0.9134230613708496)], [[[377.0, 418.0], [481.0, 418.0], [481.0, 442.0], [377.0, 442.0]], ('R44800.00', 0.9960730671882629)], [[[73.0, 448.0], [323.0, 448.0], [323.0, 468.0], [73.0, 468.0]], ('7DomP B1anc @R5700.00', 0.9488986730575562)], [[[378.0, 447.0], [478.0, 447.0], [478.0, 468.0], [378.0, 468.0]], ('R39900.00', 0.9976739883422852)], [[[71.0, 475.0], [344.0, 473.0], [345.0, 493.0], [72.0, 495.0]], ('5 Moet Nectar M @R3800.00', 0.9467021226882935)], [[[377.0, 474.0], [478.0, 474.0], [478.0, 495.0], [377.0, 495.0]], ('R19000.00', 0.9970560073852539)], [[[70.0, 501.0], [344.0, 499.0], [345.0, 520.0], [71.0, 522.0]], ('2 Crista1 Blan @R11200.00', 0.9251401424407959)], [[[375.0, 497.0], [479.0, 499.0], [478.0, 523.0], [374.0, 521.0]], ('R22400.00', 0.9949745535850525)], [[[71.0, 528.0], [301.0, 525.0], [301.0, 546.0], [72.0, 549.0]], ('7BTL Cir0C @R1650.00', 0.9110426902770996)], [[[376.0, 527.0], [476.0, 527.0], [476.0, 548.0], [376.0, 548.0]], ('R11550.00', 0.9960314631462097)], [[[62.0, 554.0], [344.0, 549.0], [345.0, 572.0], [63.0, 577.0]], ('10 Luc Belaire R @R1500.00', 0.9236511588096619)], [[[375.0, 550.0], [477.0, 553.0], [476.0, 575.0], [374.0, 572.0]], ('R15000.00', 0.9952195286750793)], [[[70.0, 580.0], [343.0, 574.0], [344.0, 597.0], [71.0, 603.0]], ('4 BTL Johnnie B @R9000.00', 0.8879592418670654)], [[[375.0, 577.0], [476.0, 580.0], [475.0, 601.0], [374.0, 598.0]], ('R36000.00', 0.9969338178634644)], [[[70.0, 607.0], [311.0, 600.0], [312.0, 624.0], [71.0, 631.0]], ('5 Veuve Rich @R2500.00', 0.9485361576080322)], [[[373.0, 602.0], [476.0, 605.0], [475.0, 629.0], [372.0, 626.0]], ('R12500.00', 0.9934442043304443)], [[[91.0, 655.0], [479.0, 650.0], [480.0, 698.0], [92.0, 703.0]], ('Tota1 :R201150.00', 0.9123177528381348)], [[[37.0, 759.0], [321.0, 739.0], [323.0, 766.0], [39.0, 786.0]], ('R24 702.63 Output Tax', 0.922722339630127)], [[[38.0, 811.0], [333.0, 787.0], [335.0, 814.0], [40.0, 838.0]], ('R176 447.38 Tota1 Exc1', 0.8938125967979431)], [[[40.0, 865.0], [131.0, 855.0], [134.0, 880.0], [42.0, 890.0]], ('GRATUITY', 0.9965177774429321)]]	{"store_name": "TABOO", "store_addr": "GREYGOOSEBAR 24FREDMANDRIVE SANDTON", "telephone": "0117832200", "date": "29November2017", "time": "15:23", "subtotal": "", "tax": "", "total": "R201150.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AceGold@R11200.00", "item_value": "R44800.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DomPBlanc@R5700.00", "item_value": "R39900.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MoetNectarM@R3800.00", "item_value": "R19000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CristalBlan@R11200.00", "item_value": "R22400.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BTLCiroc@R1650.00", "item_value": "R11550.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LucBelaireR@R1500.00", "item_value": "R15000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BTLJohnnieB@R9000.00", "item_value": "R36000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VeuveRich@R2500.00", "item_value": "R12500.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[448.0, 21.0], [737.0, 15.0], [738.0, 47.0], [449.0, 53.0]], ('MISCELLANEOUS', 0.996181845664978)], [[[355.0, 92.0], [761.0, 83.0], [762.0, 119.0], [355.0, 128.0]], ('CPN NABISCO CRACKE', 0.95761638879776)], [[[939.0, 88.0], [1033.0, 79.0], [1036.0, 112.0], [943.0, 121.0]], ('81-F', 0.9786356687545776)], [[[177.0, 98.0], [224.0, 98.0], [224.0, 134.0], [177.0, 134.0]], ('SC', 0.9243578314781189)], [[[177.0, 133.0], [224.0, 133.0], [224.0, 169.0], [177.0, 169.0]], ('SC', 0.5357407331466675)], [[[241.0, 130.0], [763.0, 119.0], [764.0, 155.0], [242.0, 166.0]], ('8806 CPN NABISCO CRACKE', 0.9411523938179016)], [[[928.0, 124.0], [1035.0, 114.0], [1038.0, 147.0], [932.0, 157.0]], ('.81-F', 0.8915631175041199)], [[[174.0, 167.0], [221.0, 167.0], [221.0, 205.0], [174.0, 205.0]], ('MC', 0.9962425827980042)], [[[355.0, 163.0], [675.0, 153.0], [676.0, 190.0], [356.0, 199.0]], ('SCANNED COUPON', 0.974550724029541)], [[[902.0, 161.0], [1036.0, 148.0], [1039.0, 180.0], [905.0, 192.0]], ('1.00-F', 0.9760957360267639)], [[[353.0, 198.0], [675.0, 191.0], [676.0, 227.0], [354.0, 234.0]], ('SCANNED COUPON', 0.972216784954071)], [[[930.0, 192.0], [1038.0, 183.0], [1041.0, 218.0], [933.0, 227.0]], ('.50-F', 0.9305118322372437)], [[[172.0, 203.0], [221.0, 203.0], [221.0, 240.0], [172.0, 240.0]], ('MC', 0.9960271716117859)], [[[353.0, 234.0], [674.0, 229.0], [675.0, 265.0], [354.0, 270.0]], ('SCANNED COUPON', 0.9583326578140259)], [[[904.0, 230.0], [1041.0, 218.0], [1044.0, 254.0], [907.0, 266.0]], ('1.00-F', 0.9722101092338562)], [[[171.0, 240.0], [220.0, 240.0], [220.0, 277.0], [171.0, 277.0]], ('MC', 0.9969853162765503)], [[[352.0, 271.0], [676.0, 268.0], [676.0, 304.0], [352.0, 308.0]], ('SCANNED COUPON', 0.9754088521003723)], [[[904.0, 268.0], [1042.0, 255.0], [1046.0, 291.0], [907.0, 304.0]], ('1.00-F', 0.9728788733482361)], [[[169.0, 279.0], [218.0, 279.0], [218.0, 315.0], [169.0, 315.0]], ('MC', 0.9961011409759521)], [[[353.0, 311.0], [674.0, 311.0], [674.0, 342.0], [353.0, 342.0]], ('SCANNED COUPON', 0.9750580787658691)], [[[907.0, 305.0], [1044.0, 293.0], [1047.0, 327.0], [910.0, 339.0]], ('1.00-F', 0.9803247451782227)], [[[167.0, 315.0], [217.0, 315.0], [217.0, 351.0], [167.0, 351.0]], ('MC', 0.9951477646827698)], [[[351.0, 344.0], [678.0, 347.0], [677.0, 383.0], [350.0, 380.0]], ('SCANNED COUPON', 0.9745437502861023)], [[[907.0, 340.0], [1047.0, 329.0], [1050.0, 367.0], [910.0, 378.0]], ('1.00-F', 0.9790131449699402)], [[[166.0, 351.0], [215.0, 351.0], [215.0, 387.0], [166.0, 387.0]], ('MC', 0.9953354597091675)], [[[349.0, 381.0], [678.0, 384.0], [677.0, 421.0], [349.0, 417.0]], ('SCANNED COUPON', 0.9756688475608826)], [[[909.0, 377.0], [1049.0, 370.0], [1051.0, 406.0], [911.0, 414.0]], ('1.00-F', 0.9709174036979675)], [[[166.0, 389.0], [212.0, 389.0], [212.0, 427.0], [166.0, 427.0]], ('MC', 0.9964596033096313)], [[[350.0, 425.0], [678.0, 427.0], [677.0, 458.0], [350.0, 457.0]], ('SCANNED COUPON', 0.973967432975769)], [[[911.0, 416.0], [1053.0, 411.0], [1054.0, 447.0], [912.0, 453.0]], ('1.00-F', 0.9783292412757874)], [[[164.0, 428.0], [210.0, 428.0], [210.0, 466.0], [164.0, 466.0]], ('MC', 0.9965114593505859)], [[[161.0, 466.0], [209.0, 466.0], [209.0, 503.0], [161.0, 503.0]], ('MC', 0.9934965968132019)], [[[352.0, 464.0], [677.0, 464.0], [677.0, 494.0], [352.0, 494.0]], ('SCANNED COUPON', 0.9664949774742126)], [[[912.0, 457.0], [1056.0, 452.0], [1057.0, 488.0], [913.0, 493.0]], ('1.00-F', 0.9804735779762268)], [[[160.0, 503.0], [209.0, 503.0], [209.0, 541.0], [160.0, 541.0]], ('MC', 0.9954954385757446)], [[[350.0, 503.0], [677.0, 503.0], [677.0, 534.0], [350.0, 534.0]], ('SCANNED COUPON', 0.9703930616378784)], [[[913.0, 496.0], [1057.0, 489.0], [1059.0, 527.0], [915.0, 534.0]], ('1.00-F', 0.9402262568473816)], [[[158.0, 543.0], [207.0, 543.0], [207.0, 579.0], [158.0, 579.0]], ('MC', 0.9935524463653564)], [[[350.0, 543.0], [679.0, 543.0], [679.0, 573.0], [350.0, 573.0]], ('SCANNED COUPON', 0.9676418304443359)], [[[915.0, 537.0], [1060.0, 530.0], [1062.0, 566.0], [917.0, 573.0]], ('1.00-F', 0.9878082275390625)], [[[157.0, 580.0], [206.0, 580.0], [206.0, 619.0], [157.0, 619.0]], ('MC', 0.9970369338989258)], [[[350.0, 580.0], [679.0, 580.0], [679.0, 612.0], [350.0, 612.0]], ('SCANNED COUPON', 0.9628483057022095)], [[[918.0, 576.0], [1060.0, 569.0], [1062.0, 605.0], [920.0, 613.0]], ('1.00-F', 0.9827017784118652)], [[[155.0, 619.0], [206.0, 619.0], [206.0, 659.0], [155.0, 659.0]], ('MC', 0.9962515830993652)], [[[347.0, 621.0], [679.0, 619.0], [679.0, 651.0], [347.0, 653.0]], ('SCANNED COUPON', 0.9738044142723083)], [[[918.0, 616.0], [1062.0, 608.0], [1064.0, 646.0], [920.0, 653.0]], ('1.00-F', 0.9787308573722839)], [[[154.0, 659.0], [204.0, 659.0], [204.0, 698.0], [154.0, 698.0]], ('MC', 0.9952160120010376)], [[[347.0, 662.0], [680.0, 660.0], [681.0, 692.0], [347.0, 693.0]], ('SCANNED COUPON', 0.9713386297225952)], [[[920.0, 656.0], [1065.0, 651.0], [1067.0, 687.0], [921.0, 692.0]], ('1.00-F', 0.9688043594360352)], [[[152.0, 699.0], [203.0, 699.0], [203.0, 739.0], [152.0, 739.0]], ('MC', 0.9968335032463074)], [[[349.0, 701.0], [681.0, 701.0], [681.0, 733.0], [349.0, 733.0]], ('SCANNED COUPON', 0.9717000722885132)], [[[920.0, 697.0], [1066.0, 690.0], [1068.0, 727.0], [922.0, 735.0]], ('1.00-F', 0.971881628036499)], [[[151.0, 739.0], [203.0, 739.0], [203.0, 778.0], [151.0, 778.0]], ('MC', 0.9890329837799072)], [[[344.0, 742.0], [682.0, 738.0], [682.0, 775.0], [344.0, 778.0]], ('SCANNED COUPON', 0.9753379821777344)], [[[923.0, 738.0], [1066.0, 730.0], [1068.0, 768.0], [925.0, 775.0]], ('1.00-F', 0.9843223690986633)], [[[224.0, 784.0], [318.0, 784.0], [318.0, 811.0], [224.0, 811.0]], ('****', 0.7765965461730957)], [[[340.0, 782.0], [416.0, 782.0], [416.0, 817.0], [340.0, 817.0]], ('TAX', 0.9965847134590149)], [[[591.0, 779.0], [665.0, 779.0], [665.0, 818.0], [591.0, 818.0]], ('.00', 0.9909316897392273)], [[[705.0, 781.0], [774.0, 781.0], [774.0, 815.0], [705.0, 815.0]], ('BAL', 0.9976620674133301)], [[[956.0, 777.0], [1024.0, 773.0], [1027.0, 812.0], [959.0, 816.0]], ('.64', 0.7465655207633972)], [[[343.0, 823.0], [442.0, 823.0], [442.0, 861.0], [343.0, 861.0]], ('CASH', 0.9984157681465149)], [[[924.0, 817.0], [1023.0, 814.0], [1025.0, 854.0], [926.0, 858.0]], ('1.00', 0.99725341796875)], [[[344.0, 907.0], [487.0, 907.0], [487.0, 944.0], [344.0, 944.0]], ('CHANGE', 0.9985796809196472)], [[[965.0, 900.0], [1031.0, 900.0], [1031.0, 942.0], [965.0, 942.0]], ('36', 0.9973294138908386)], [[[349.0, 951.0], [658.0, 951.0], [658.0, 983.0], [349.0, 983.0]], ('TOTAL SAVINGS', 0.9597069621086121)], [[[760.0, 948.0], [880.0, 948.0], [880.0, 983.0], [760.0, 983.0]], ('56.55', 0.9950968027114868)], [[[175.0, 992.0], [931.0, 989.0], [931.0, 1025.0], [175.0, 1028.0]], ('7/06/1020:54091907 09277850', 0.9739425182342529)], [[[343.0, 1120.0], [638.0, 1120.0], [638.0, 1156.0], [343.0, 1156.0]], ('DAVID BUTLER', 0.969227135181427)], [[[837.0, 1115.0], [940.0, 1115.0], [940.0, 1155.0], [837.0, 1155.0]], ('9104', 0.9968175888061523)], [[[243.0, 1203.0], [661.0, 1209.0], [660.0, 1244.0], [243.0, 1237.0]], ('Club Card Savings', 0.9670332670211792)], [[[863.0, 1205.0], [1040.0, 1201.0], [1040.0, 1239.0], [864.0, 1242.0]], ('$37.68', 0.9938435554504395)], [[[240.0, 1248.0], [588.0, 1251.0], [588.0, 1287.0], [240.0, 1284.0]], ('Coupon Savings', 0.9554784893989563)], [[[865.0, 1247.0], [1042.0, 1247.0], [1042.0, 1284.0], [865.0, 1284.0]], ('$15.50', 0.9974026083946228)], [[[240.0, 1290.0], [717.0, 1292.0], [717.0, 1332.0], [240.0, 1331.0]], ('Total Savings Value', 0.9687937498092651)], [[[767.0, 1293.0], [1042.0, 1293.0], [1042.0, 1329.0], [767.0, 1329.0]], ('99%$56.55', 0.9941818714141846)], [[[314.0, 1378.0], [968.0, 1381.0], [968.0, 1421.0], [313.0, 1418.0]], ('YOUR CASHIER TODAY WAS JOE', 0.9491651058197021)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "7/06/10", "time": "20:54", "subtotal": "", "tax": ".00", "total": "", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[86.0, 6.0], [225.0, 0.0], [226.0, 18.0], [87.0, 24.0]], ('SEATTLEWA 98125', 0.9640080332756042)], [[[109.0, 24.0], [209.0, 20.0], [210.0, 37.0], [110.0, 42.0]], ('206-834-6277', 0.9937341809272766)], [[[35.0, 64.0], [144.0, 61.0], [145.0, 82.0], [36.0, 85.0]], ('45021 Michael', 0.9236178994178772)], [[[26.0, 104.0], [97.0, 102.0], [98.0, 122.0], [27.0, 125.0]], ('Tb143/1', 0.9765762090682983)], [[[133.0, 102.0], [197.0, 100.0], [198.0, 120.0], [134.0, 123.0]], ('Chk 252', 0.9471167325973511)], [[[243.0, 97.0], [301.0, 97.0], [301.0, 119.0], [243.0, 119.0]], ('Gst 2', 0.8922731280326843)], [[[93.0, 125.0], [230.0, 120.0], [231.0, 140.0], [93.0, 145.0]], ("Dec15'18 05:47PM", 0.9113308191299438)], [[[44.0, 166.0], [147.0, 164.0], [147.0, 182.0], [45.0, 184.0]], ('1 SALM HONEY', 0.920627772808075)], [[[225.0, 160.0], [274.0, 158.0], [275.0, 180.0], [226.0, 182.0]], ('28.95', 0.9953799247741699)], [[[44.0, 187.0], [148.0, 185.0], [148.0, 203.0], [45.0, 205.0]], ('1 SHORTRIB S', 0.8998351097106934)], [[[228.0, 182.0], [275.0, 182.0], [275.0, 201.0], [228.0, 201.0]], ('27.95', 0.9974002838134766)], [[[44.0, 208.0], [171.0, 205.0], [171.0, 222.0], [45.0, 226.0]], ('1 CHEESECAKE ST', 0.9391145706176758)], [[[237.0, 204.0], [276.0, 204.0], [276.0, 222.0], [237.0, 222.0]], ('8.50', 0.9939892292022705)], [[[46.0, 227.0], [139.0, 227.0], [139.0, 245.0], [46.0, 245.0]], ('1DIET COKE', 0.9580060839653015)], [[[237.0, 223.0], [278.0, 223.0], [278.0, 245.0], [237.0, 245.0]], ('3.95', 0.9919518828392029)], [[[62.0, 270.0], [130.0, 270.0], [130.0, 288.0], [62.0, 288.0]], ('SUBTOTAL', 0.996734619140625)], [[[230.0, 267.0], [278.0, 267.0], [278.0, 289.0], [230.0, 289.0]], ('69.35', 0.9939212799072266)], [[[63.0, 291.0], [156.0, 291.0], [156.0, 308.0], [63.0, 308.0]], ('4.9% LWgeSC', 0.9345701336860657)], [[[238.0, 289.0], [279.0, 289.0], [279.0, 310.0], [238.0, 310.0]], ('3.40', 0.9931204319000244)], [[[61.0, 310.0], [94.0, 310.0], [94.0, 330.0], [61.0, 330.0]], ('TAX', 0.9959545731544495)], [[[240.0, 309.0], [279.0, 309.0], [279.0, 332.0], [240.0, 332.0]], ('7.35', 0.9913451671600342)], [[[64.0, 331.0], [141.0, 331.0], [141.0, 347.0], [64.0, 347.0]], ('TOTAL DUE', 0.9311332702636719)], [[[190.0, 332.0], [278.0, 332.0], [278.0, 347.0], [190.0, 347.0]], ('8010', 0.9827824831008911)]]	{"store_name": "", "store_addr": "SEATTLE,WA98125", "telephone": "206-834-6277", "date": "Dec15'18", "time": "05:47PM", "subtotal": "69.35", "tax": "7.35", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SALMHONEY", "item_value": "28.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SHORTRIB", "item_value": "27.95", "item_quantity": "1"}, {"item_key": "", "item_name": "s", "item_value": "8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CHEESECAKEST", "item_value": "3.95", "item_quantity": "1"}, {"item_key": "", "item_name": "DIETCOKE", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[79.0, 0.0], [158.0, 4.0], [157.0, 19.0], [78.0, 13.0]], ('Served Server', 0.9630073308944702)], [[[78.0, 13.0], [140.0, 19.0], [139.0, 32.0], [77.0, 26.0]], ('Eat In T24', 0.8763648867607117)], [[[187.0, 8.0], [236.0, 11.0], [235.0, 26.0], [186.0, 22.0]], ('17:14:32', 0.8605704307556152)], [[[79.0, 29.0], [142.0, 35.0], [141.0, 49.0], [78.0, 43.0]], ('Quant item', 0.8502291440963745)], [[[214.0, 41.0], [251.0, 46.0], [249.0, 60.0], [212.0, 55.0]], ('Amount', 0.9905526041984558)], [[[110.0, 52.0], [193.0, 60.0], [191.0, 73.0], [109.0, 65.0]], ('MSGHTIKAMan', 0.7094941735267639)], [[[77.0, 72.0], [87.0, 72.0], [87.0, 83.0], [77.0, 83.0]], ('1', 0.7696202993392944)], [[[110.0, 70.0], [190.0, 78.0], [188.0, 92.0], [109.0, 85.0]], ('MURGH.TANDOORL', 0.9009206891059875)], [[[213.0, 64.0], [244.0, 64.0], [244.0, 78.0], [213.0, 78.0]], ('E10.30', 0.764319658279419)], [[[111.0, 82.0], [137.0, 84.0], [135.0, 95.0], [110.0, 93.0]], ('HALP', 0.9210288524627686)], [[[212.0, 79.0], [241.0, 82.0], [239.0, 97.0], [211.0, 95.0]], ('8.90', 0.9339446425437927)], [[[109.0, 93.0], [136.0, 93.0], [136.0, 106.0], [109.0, 106.0]], ('MAIN', 0.9818968176841736)], [[[77.0, 108.0], [86.0, 108.0], [86.0, 119.0], [77.0, 119.0]], ('4', 0.6499003767967224)], [[[108.0, 108.0], [244.0, 120.0], [243.0, 133.0], [107.0, 121.0]], ('MssChckkenk38.80', 0.7200963497161865)], [[[78.0, 129.0], [86.0, 129.0], [86.0, 140.0], [78.0, 140.0]], ('1', 0.742469847202301)], [[[109.0, 128.0], [174.0, 133.0], [173.0, 147.0], [108.0, 142.0]], ('TurkaDal Mon', 0.7954413890838623)], [[[210.0, 134.0], [238.0, 137.0], [237.0, 152.0], [208.0, 149.0]], ('7.90', 0.9562321901321411)], [[[77.0, 148.0], [86.0, 148.0], [86.0, 159.0], [77.0, 159.0]], ('1', 0.874239444732666)], [[[107.0, 147.0], [165.0, 152.0], [164.0, 166.0], [106.0, 161.0]], ('BaiChicken', 0.8577163815498352)], [[[108.0, 157.0], [137.0, 162.0], [135.0, 174.0], [106.0, 169.0]], ('APNA', 0.9224475622177124)], [[[209.0, 156.0], [238.0, 156.0], [238.0, 170.0], [209.0, 170.0]], ('6.90', 0.817277193069458)], [[[77.0, 175.0], [86.0, 175.0], [86.0, 188.0], [77.0, 188.0]], ('3', 0.9877504706382751)], [[[106.0, 175.0], [152.0, 177.0], [151.0, 191.0], [105.0, 189.0]], ('Rice Piu', 0.7613474130630493)], [[[208.0, 181.0], [237.0, 181.0], [237.0, 195.0], [208.0, 195.0]], ('8.55', 0.8006582260131836)], [[[77.0, 194.0], [94.0, 194.0], [94.0, 207.0], [77.0, 207.0]], ('18', 0.9921170473098755)], [[[106.0, 194.0], [152.0, 197.0], [151.0, 212.0], [105.0, 208.0]], ('Poppadom', 0.9340111017227173)], [[[207.0, 200.0], [240.0, 200.0], [240.0, 214.0], [207.0, 214.0]], ('1260', 0.9839736223220825)], [[[106.0, 211.0], [155.0, 217.0], [153.0, 231.0], [105.0, 225.0]], ('Pichferay', 0.7112617492675781)], [[[208.0, 219.0], [235.0, 219.0], [235.0, 233.0], [208.0, 233.0]], ('3.60', 0.9249963760375977)], [[[105.0, 230.0], [152.0, 234.0], [151.0, 249.0], [104.0, 245.0]], ('Pickle tray', 0.7715170383453369)], [[[208.0, 238.0], [235.0, 238.0], [235.0, 251.0], [208.0, 251.0]], ('61.80', 0.9076532125473022)], [[[74.0, 251.0], [87.0, 251.0], [87.0, 264.0], [74.0, 264.0]], ('1', 0.8672625422477722)], [[[105.0, 251.0], [202.0, 255.0], [201.0, 268.0], [104.0, 264.0]], ('Non Bsd FamyPin', 0.7257950901985168)], [[[106.0, 261.0], [131.0, 263.0], [130.0, 274.0], [105.0, 272.0]], ('1731', 0.8682829141616821)], [[[204.0, 254.0], [233.0, 257.0], [232.0, 268.0], [203.0, 266.0]], ('4.45', 0.8881309032440186)], [[[72.0, 276.0], [85.0, 276.0], [85.0, 289.0], [72.0, 289.0]], ('2', 0.9415454864501953)], [[[103.0, 274.0], [144.0, 277.0], [143.0, 293.0], [102.0, 289.0]], ('Chappau', 0.9011579155921936)], [[[208.0, 280.0], [235.0, 280.0], [235.0, 293.0], [208.0, 293.0]], ('1.60', 0.9674853682518005)], [[[72.0, 297.0], [83.0, 297.0], [83.0, 307.0], [72.0, 307.0]], ('6', 0.8880667090415955)], [[[103.0, 293.0], [144.0, 297.0], [143.0, 312.0], [102.0, 308.0]], ('Chappab', 0.9201922416687012)], [[[207.0, 297.0], [235.0, 297.0], [235.0, 312.0], [207.0, 312.0]], ('4.80', 0.926159143447876)], [[[70.0, 314.0], [82.0, 314.0], [82.0, 329.0], [70.0, 329.0]], ('2', 0.5834323763847351)], [[[102.0, 312.0], [130.0, 315.0], [128.0, 330.0], [101.0, 327.0]], ('Chips', 0.9916831851005554)], [[[207.0, 314.0], [236.0, 317.0], [235.0, 332.0], [205.0, 329.0]], ('ES.00', 0.8766281008720398)], [[[70.0, 336.0], [79.0, 336.0], [79.0, 347.0], [70.0, 347.0]], ('4', 0.8886756896972656)], [[[101.0, 334.0], [169.0, 334.0], [169.0, 348.0], [101.0, 348.0]], ('King Fisher int', 0.8672260046005249)], [[[207.0, 337.0], [241.0, 337.0], [241.0, 351.0], [207.0, 351.0]], ('15.60', 0.9242684245109558)], [[[69.0, 357.0], [78.0, 357.0], [78.0, 367.0], [69.0, 367.0]], ('1', 0.9228438138961792)], [[[101.0, 353.0], [179.0, 355.0], [178.0, 369.0], [100.0, 367.0]], ('Bottle Kopparberg', 0.9209253787994385)], [[[205.0, 354.0], [238.0, 356.0], [237.0, 370.0], [204.0, 368.0]], ('430', 0.8699440360069275)], [[[68.0, 378.0], [77.0, 378.0], [77.0, 388.0], [68.0, 388.0]], ('1', 0.8258847594261169)], [[[101.0, 375.0], [156.0, 375.0], [156.0, 386.0], [101.0, 386.0]], ('Coke Normal', 0.8846529126167297)], [[[207.0, 373.0], [238.0, 377.0], [236.0, 392.0], [205.0, 388.0]], ('240', 0.9207367897033691)], [[[66.0, 399.0], [75.0, 399.0], [75.0, 409.0], [66.0, 409.0]], ('4', 0.8923578262329102)], [[[100.0, 397.0], [156.0, 397.0], [156.0, 408.0], [100.0, 408.0]], ('Cokenormal', 0.9047663807868958)], [[[208.0, 397.0], [238.0, 397.0], [238.0, 411.0], [208.0, 411.0]], ('9.60', 0.919479250907898)], [[[97.0, 418.0], [176.0, 416.0], [176.0, 431.0], [98.0, 432.0]], ('Det Coke Normal', 0.8506271243095398)], [[[208.0, 417.0], [239.0, 420.0], [238.0, 435.0], [207.0, 432.0]], ('2.40', 0.9123443365097046)], [[[62.0, 442.0], [74.0, 442.0], [74.0, 456.0], [62.0, 456.0]], ('1', 0.8404948115348816)], [[[99.0, 441.0], [172.0, 441.0], [172.0, 452.0], [99.0, 452.0]], ('J20 Aope Mango', 0.8207950592041016)], [[[207.0, 437.0], [239.0, 440.0], [238.0, 455.0], [206.0, 453.0]], ('12.90', 0.8345742225646973)], [[[98.0, 453.0], [117.0, 453.0], [117.0, 464.0], [98.0, 464.0]], ('CZ', 0.5014498233795166)], [[[62.0, 473.0], [73.0, 473.0], [73.0, 487.0], [62.0, 487.0]], ('2', 0.923185408115387)], [[[96.0, 471.0], [174.0, 468.0], [175.0, 481.0], [97.0, 484.0]], ('Det Coke Norm', 0.9068787693977356)], [[[208.0, 470.0], [239.0, 470.0], [239.0, 484.0], [208.0, 484.0]], ('4:80', 0.9209988713264465)], [[[61.0, 487.0], [131.0, 486.0], [131.0, 501.0], [61.0, 503.0]], ('Quant Item', 0.9523703455924988)], [[[208.0, 484.0], [251.0, 488.0], [250.0, 502.0], [207.0, 498.0]], ('Amount', 0.9952438473701477)], [[[120.0, 514.0], [193.0, 509.0], [193.0, 523.0], [121.0, 528.0]], ('Sub Total', 0.9584218263626099)], [[[196.0, 510.0], [250.0, 514.0], [250.0, 528.0], [195.0, 524.0]], ('159.80', 0.9865797162055969)], [[[118.0, 532.0], [186.0, 527.0], [187.0, 544.0], [119.0, 548.0]], ('Discount', 0.9952782392501831)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "17:14:32", "subtotal": "\u00a3159.80", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "J20AppleMango", "item_value": "\u00a38.90", "item_quantity": "1"}, {"item_key": "", "item_name": "CokeNormal", "item_value": "\u00a338.80", "item_quantity": "1"}, {"item_key": "", "item_name": "CokeNormal", "item_value": "\u00a37.90", "item_quantity": "1"}, {"item_key": "", "item_name": "KingFisherPint", "item_value": "\u00a38.90", "item_quantity": "1"}, {"item_key": "", "item_name": "chips", "item_value": "\u00a38.55", "item_quantity": "1"}, {"item_key": "", "item_name": "Choppab", "item_value": "\u00a312.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Choppab", "item_value": "\u00a33.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PickleTray", "item_value": "\u00a31.80", "item_quantity": "1"}, {"item_key": "", "item_name": "poppadom", "item_value": "\u00a34.45", "item_quantity": "1"}, {"item_key": "", "item_name": "Rice Pillou", "item_value": "\u00a31.60", "item_quantity": "1"}, {"item_key": "", "item_name": "BaibChicken", "item_value": "\u00a34.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MURGHTIKKAMain", "item_value": "\u00a35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a315.60", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a34.30", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a32.40", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a39.60", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a32.40", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a32.90", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a34.80", "item_quantity": "1"}, {"item_key": "QuantItem", "item_name": "", "item_value": "", "item_quantity": ""}, {"item_key": "QuantItem", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[353.0, 0.0], [394.0, 0.0], [395.0, 12.0], [354.0, 15.0]], ('0.00', 0.998134195804596)], [[[126.0, 13.0], [168.0, 8.0], [171.0, 27.0], [128.0, 32.0]], ('VISA', 0.998224139213562)], [[[129.0, 31.0], [189.0, 21.0], [191.0, 39.0], [132.0, 49.0]], ('CHANGE', 0.9985089302062988)], [[[364.0, 25.0], [388.0, 25.0], [388.0, 43.0], [364.0, 43.0]], ('77', 0.9804027080535889)], [[[60.0, 81.0], [328.0, 32.0], [331.0, 49.0], [63.0, 99.0]], ('TOTAL NUMBER OF ITEMS SOLD =', 0.9213382601737976)], [[[341.0, 86.0], [353.0, 83.0], [356.0, 99.0], [344.0, 102.0]], ('$', 0.922088086605072)], [[[369.0, 78.0], [420.0, 71.0], [423.0, 90.0], [372.0, 97.0]], ('14.82', 0.9703086614608765)], [[[347.0, 104.0], [359.0, 104.0], [359.0, 120.0], [347.0, 120.0]], ('$', 0.6307660341262817)], [[[379.0, 96.0], [424.0, 88.0], [427.0, 107.0], [382.0, 115.0]], ('1.00', 0.9939676523208618)], [[[65.0, 116.0], [319.0, 70.0], [321.0, 88.0], [68.0, 134.0]], ('KROGER SAVINGS', 0.9441019892692566)], [[[351.0, 123.0], [362.0, 123.0], [362.0, 138.0], [351.0, 138.0]], ('$', 0.7262610197067261)], [[[373.0, 116.0], [425.0, 108.0], [428.0, 127.0], [376.0, 135.0]], ('38.01', 0.9928544163703918)], [[[65.0, 135.0], [216.0, 108.0], [219.0, 126.0], [68.0, 153.0]], ('MFG CPN SAVINGS', 0.9298754334449768)], [[[376.0, 135.0], [429.0, 126.0], [432.0, 144.0], [379.0, 153.0]], ('53.83', 0.9953594207763672)], [[[69.0, 154.0], [239.0, 124.0], [242.0, 142.0], [72.0, 172.0]], ('BONUS CPN SAVINGS', 0.9533467888832092)], [[[72.0, 173.0], [262.0, 139.0], [265.0, 157.0], [75.0, 191.0]], ('KROGER PLUS SAVINGS', 0.9447420835494995)], [[[77.0, 193.0], [208.0, 169.0], [211.0, 186.0], [80.0, 210.0]], ('TOTAL COUPONS', 0.9525268077850342)], [[[77.0, 211.0], [416.0, 146.0], [419.0, 167.0], [80.0, 232.0]], ('TOTAL SAVINGS21PCt.$53.83', 0.8808626532554626)], [[[87.0, 232.0], [453.0, 161.0], [456.0, 178.0], [90.0, 249.0]], ('*****KROGER SAVINGS *********', 0.8257718086242676)], [[[93.0, 271.0], [387.0, 213.0], [390.0, 232.0], [96.0, 290.0]], ('01/17/11 05:06pm5051114847', 0.9439839124679565)], [[[208.0, 309.0], [434.0, 265.0], [437.0, 283.0], [211.0, 328.0]], ('ave up to $1 per gallon', 0.8908558487892151)], [[[305.0, 307.0], [476.0, 274.0], [480.0, 295.0], [309.0, 328.0]], ('s0.10off per 9al', 0.848774790763855)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "01/17/11", "time": "05:06pm", "subtotal": "", "tax": "", "total": "$53.83 $53.83", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MFGCPNSAVINGS", "item_value": "$14.82", "item_quantity": "1"}, {"item_key": "", "item_name": "BONUSCPNSAVINGS", "item_value": "$1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KROGERPLUSSAVINGS", "item_value": "$38.01", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[126.0, 18.0], [201.0, 24.0], [200.0, 42.0], [124.0, 36.0]], ('TBL261/1', 0.9920409917831421)], [[[329.0, 27.0], [374.0, 30.0], [373.0, 52.0], [328.0, 49.0]], ('GST 1', 0.9108737111091614)], [[[223.0, 41.0], [290.0, 46.0], [288.0, 64.0], [222.0, 59.0]], ('CHK7758', 0.9968977570533752)], [[[201.0, 58.0], [312.0, 66.0], [311.0, 84.0], [199.0, 76.0]], ("23AUG'18 15:25", 0.9115886092185974)], [[[151.0, 92.0], [260.0, 99.0], [258.0, 120.0], [149.0, 113.0]], ('1 Onion Rings', 0.9494650363922119)], [[[151.0, 112.0], [267.0, 118.0], [265.0, 139.0], [150.0, 133.0]], ('1 1L LightBrew', 0.9209307432174683)], [[[316.0, 103.0], [366.0, 103.0], [366.0, 122.0], [316.0, 122.0]], ('415.25', 0.9938592314720154)], [[[316.0, 119.0], [367.0, 122.0], [366.0, 141.0], [315.0, 138.0]], ('762.71', 0.9935118556022644)], [[[215.0, 137.0], [251.0, 137.0], [251.0, 156.0], [215.0, 156.0]], ('COLD', 0.9979336857795715)], [[[167.0, 155.0], [204.0, 155.0], [204.0, 174.0], [167.0, 174.0]], ('Food', 0.9944614768028259)], [[[316.0, 159.0], [367.0, 159.0], [367.0, 177.0], [316.0, 177.0]], ('415.25', 0.9955283999443054)], [[[166.0, 173.0], [233.0, 177.0], [232.0, 195.0], [165.0, 192.0]], ('Beverage', 0.9957066774368286)], [[[317.0, 178.0], [367.0, 178.0], [367.0, 196.0], [317.0, 196.0]], ('762.71', 0.9937183260917664)], [[[166.0, 193.0], [194.0, 193.0], [194.0, 213.0], [166.0, 213.0]], ('VAT', 0.9981427192687988)], [[[318.0, 196.0], [368.0, 196.0], [368.0, 214.0], [318.0, 214.0]], ('188.47', 0.9903540015220642)], [[[165.0, 212.0], [193.0, 212.0], [193.0, 232.0], [165.0, 232.0]], ('CTL', 0.9962704181671143)], [[[325.0, 214.0], [369.0, 214.0], [369.0, 232.0], [325.0, 232.0]], ('23.56', 0.9908328056335449)], [[[159.0, 232.0], [201.0, 232.0], [201.0, 251.0], [159.0, 251.0]], ('Total', 0.9921229481697083)], [[[312.0, 233.0], [370.0, 233.0], [370.0, 251.0], [312.0, 251.0]], ('1390.00', 0.9944432377815247)], [[[164.0, 249.0], [234.0, 251.0], [234.0, 272.0], [163.0, 270.0]], ('Rounding', 0.9978643655776978)], [[[333.0, 252.0], [370.0, 252.0], [370.0, 270.0], [333.0, 270.0]], ('0.01', 0.9949856400489807)], [[[165.0, 271.0], [202.0, 271.0], [202.0, 290.0], [165.0, 290.0]], ('Cash', 0.9977384805679321)], [[[312.0, 271.0], [371.0, 271.0], [371.0, 289.0], [312.0, 289.0]], ('2000.00', 0.99434894323349)], [[[166.0, 291.0], [249.0, 291.0], [249.0, 309.0], [166.0, 309.0]], ('Change Due', 0.9571736454963684)], [[[319.0, 289.0], [373.0, 289.0], [373.0, 310.0], [319.0, 310.0]], ('610.00', 0.9936654567718506)], [[[199.0, 330.0], [308.0, 330.0], [308.0, 348.0], [199.0, 348.0]], ('VAT0179502U', 0.9870994687080383)], [[[190.0, 351.0], [326.0, 350.0], [326.0, 368.0], [190.0, 369.0]], ('PIN:P051213489G', 0.9570117592811584)], [[[173.0, 393.0], [337.0, 390.0], [338.0, 410.0], [173.0, 413.0]], ('P.0.B0X 14510 00800', 0.8899475932121277)], [[[1.0, 416.0], [18.0, 416.0], [18.0, 440.0], [1.0, 440.0]], ('65', 0.933801531791687)], [[[163.0, 416.0], [350.0, 411.0], [351.0, 431.0], [163.0, 436.0]], ('MPESA TILL NO:970963', 0.9375508427619934)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "23AUG'18", "time": "15:25", "subtotal": "", "tax": "188.47 23.56", "total": "1390.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "OnionRings", "item_value": "415.25", "item_quantity": "1"}, {"item_key": "", "item_name": "1LLightBrew", "item_value": "762.71", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[67.0, 0.0], [126.0, 9.0], [122.0, 27.0], [63.0, 15.0]], ('Qty Item', 0.935533344745636)], [[[218.0, 10.0], [256.0, 12.0], [255.0, 27.0], [217.0, 25.0]], ('Price', 0.997556209564209)], [[[269.0, 13.0], [310.0, 13.0], [310.0, 27.0], [269.0, 27.0]], ('Amount', 0.9973832964897156)], [[[73.0, 33.0], [159.0, 39.0], [158.0, 57.0], [72.0, 51.0]], ('1Sma11 Entree', 0.8627861738204956)], [[[224.0, 37.0], [254.0, 40.0], [253.0, 56.0], [222.0, 53.0]], ('0.00', 0.9975098371505737)], [[[68.0, 48.0], [204.0, 50.0], [203.0, 70.0], [68.0, 68.0]], ('1 Teriyak1 Chicken PO', 0.8561705350875854)], [[[279.0, 39.0], [310.0, 36.0], [311.0, 52.0], [280.0, 55.0]], ('0.00', 0.9950803518295288)], [[[218.0, 53.0], [254.0, 53.0], [254.0, 67.0], [218.0, 67.0]], ('22.00', 0.992052435874939)], [[[276.0, 53.0], [311.0, 53.0], [311.0, 68.0], [276.0, 68.0]], ('22.00', 0.9957804679870605)], [[[67.0, 65.0], [158.0, 65.0], [158.0, 82.0], [67.0, 82.0]], ('1Regular Side', 0.9277899861335754)], [[[223.0, 67.0], [254.0, 67.0], [254.0, 81.0], [223.0, 81.0]], ('0.00', 0.9836814999580383)], [[[279.0, 67.0], [311.0, 64.0], [312.0, 79.0], [280.0, 82.0]], ('0.00', 0.9881219863891602)], [[[66.0, 80.0], [202.0, 80.0], [202.0, 94.0], [66.0, 94.0]], ('1 Mixed Vegetab les RE', 0.9259362816810608)], [[[220.0, 80.0], [254.0, 80.0], [254.0, 95.0], [220.0, 95.0]], ('15.00', 0.9936665296554565)], [[[278.0, 80.0], [312.0, 80.0], [312.0, 95.0], [278.0, 95.0]], ('15.00', 0.9948581457138062)], [[[63.0, 92.0], [202.0, 93.0], [202.0, 111.0], [63.0, 109.0]], ('1 Cream Cheese Rangoo', 0.9280565977096558)], [[[219.0, 93.0], [253.0, 96.0], [252.0, 111.0], [218.0, 108.0]], ('10.00', 0.9972805976867676)], [[[278.0, 94.0], [312.0, 94.0], [312.0, 108.0], [278.0, 108.0]], ('10.00', 0.9965093731880188)], [[[64.0, 107.0], [201.0, 110.0], [201.0, 124.0], [63.0, 121.0]], ('1 Cream Cheese Rangoo', 0.9301767945289612)], [[[218.0, 109.0], [253.0, 109.0], [253.0, 125.0], [218.0, 125.0]], ('10.00', 0.9943445324897766)], [[[278.0, 108.0], [312.0, 108.0], [312.0, 123.0], [278.0, 123.0]], ('10.00', 0.9934231638908386)], [[[49.0, 139.0], [134.0, 139.0], [134.0, 153.0], [49.0, 153.0]], ('Transport Fee', 0.9625994563102722)], [[[262.0, 138.0], [294.0, 138.0], [294.0, 155.0], [262.0, 155.0]], ('5.00', 0.9946455359458923)], [[[45.0, 165.0], [109.0, 167.0], [108.0, 184.0], [44.0, 182.0]], ('Total AED', 0.9224520921707153)], [[[257.0, 169.0], [294.0, 169.0], [294.0, 184.0], [257.0, 184.0]], ('62.00', 0.9960954785346985)], [[[42.0, 196.0], [72.0, 198.0], [71.0, 214.0], [41.0, 212.0]], ('Tips', 0.9938859343528748)], [[[41.0, 225.0], [112.0, 227.0], [111.0, 244.0], [40.0, 242.0]], ('Total Tips', 0.9471617937088013)], [[[59.0, 257.0], [90.0, 260.0], [88.0, 276.0], [57.0, 273.0]], ('VAT%', 0.976398766040802)], [[[113.0, 257.0], [164.0, 259.0], [164.0, 276.0], [112.0, 274.0]], ('Net.Amt', 0.9905210733413696)], [[[215.0, 258.0], [240.0, 261.0], [238.0, 278.0], [213.0, 275.0]], ('VAT', 0.997320830821991)], [[[272.0, 261.0], [315.0, 261.0], [315.0, 276.0], [272.0, 276.0]], ('Amount', 0.9962303638458252)], [[[37.0, 276.0], [46.0, 276.0], [46.0, 287.0], [37.0, 287.0]], ('A', 0.9988090991973877)], [[[74.0, 278.0], [86.0, 273.0], [91.0, 287.0], [79.0, 292.0]], ('0', 0.7381880283355713)], [[[126.0, 276.0], [163.0, 276.0], [163.0, 291.0], [126.0, 291.0]], ('57.00', 0.9961862564086914)], [[[208.0, 276.0], [240.0, 276.0], [240.0, 293.0], [208.0, 293.0]], ('0.00', 0.9918080568313599)], [[[278.0, 276.0], [317.0, 276.0], [317.0, 294.0], [278.0, 294.0]], ('57.00', 0.9958459734916687)], [[[47.0, 306.0], [292.0, 309.0], [292.0, 327.0], [47.0, 323.0]], ('Order De1ivery at 800 PANDA 72632', 0.9097565412521362)], [[[75.0, 324.0], [273.0, 329.0], [273.0, 343.0], [75.0, 338.0]], ('Let us know of your comments', 0.9471390843391418)], [[[75.0, 341.0], [274.0, 344.0], [274.0, 360.0], [75.0, 358.0]], ('customercare@gourmetgulf.com', 0.9776686429977417)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "57.00 57.00", "tax": "0.00", "total": "62.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CreamCheeseRangoo", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CreamCheeseRangoo", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MixedVegetablesRE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Regularside", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TeriyaklChickenPO", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SmallEntree", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[176.0, 78.0], [264.0, 78.0], [264.0, 96.0], [176.0, 96.0]], ('Berghotel', 0.9073788523674011)], [[[145.0, 93.0], [304.0, 97.0], [303.0, 117.0], [144.0, 112.0]], ('Grosse Sche idegg', 0.95306396484375)], [[[166.0, 113.0], [272.0, 115.0], [272.0, 129.0], [166.0, 128.0]], ('3818 Grindelwald', 0.9500395059585571)], [[[165.0, 129.0], [272.0, 131.0], [272.0, 148.0], [165.0, 146.0]], ('Fami lie R.Muller', 0.8244955539703369)], [[[67.0, 167.0], [156.0, 167.0], [156.0, 184.0], [67.0, 184.0]], ('Rech.Nr.4572', 0.9743295311927795)], [[[225.0, 169.0], [349.0, 169.0], [349.0, 183.0], [225.0, 183.0]], ('30.07.2007/13:29:17', 0.9641209840774536)], [[[67.0, 183.0], [92.0, 186.0], [90.0, 203.0], [65.0, 200.0]], ('Bar', 0.9476742148399353)], [[[316.0, 187.0], [350.0, 187.0], [350.0, 201.0], [316.0, 201.0]], ('7/01', 0.9958386421203613)], [[[74.0, 221.0], [190.0, 223.0], [190.0, 239.0], [73.0, 237.0]], ('2xLatte Macchiato', 0.9488145112991333)], [[[204.0, 226.0], [214.0, 226.0], [214.0, 236.0], [204.0, 236.0]], ('a', 0.9691755771636963)], [[[229.0, 222.0], [293.0, 222.0], [293.0, 239.0], [229.0, 239.0]], ('4.50CHF', 0.9911621809005737)], [[[314.0, 223.0], [345.0, 223.0], [345.0, 239.0], [314.0, 239.0]], ('006', 0.9796228408813477)], [[[76.0, 239.0], [123.0, 241.0], [122.0, 256.0], [75.0, 253.0]], ('1xGloki', 0.8808048367500305)], [[[205.0, 243.0], [215.0, 243.0], [215.0, 254.0], [205.0, 254.0]], ('a', 0.9586507081985474)], [[[229.0, 239.0], [269.0, 239.0], [269.0, 257.0], [229.0, 257.0]], ('5.00', 0.9965328574180603)], [[[264.0, 241.0], [292.0, 241.0], [292.0, 256.0], [264.0, 256.0]], ('CHF', 0.9323375821113586)], [[[314.0, 240.0], [345.0, 240.0], [345.0, 256.0], [314.0, 256.0]], ('5.00', 0.9968142509460449)], [[[76.0, 259.0], [194.0, 259.0], [194.0, 272.0], [76.0, 272.0]], ('1xSchweinschnitzel', 0.9763891696929932)], [[[203.0, 260.0], [223.0, 260.0], [223.0, 271.0], [203.0, 271.0]], ('e', 0.8382632732391357)], [[[224.0, 259.0], [263.0, 259.0], [263.0, 273.0], [224.0, 273.0]], ('22.00', 0.9948846697807312)], [[[268.0, 259.0], [292.0, 259.0], [292.0, 273.0], [268.0, 273.0]], ('CHF', 0.9767687916755676)], [[[308.0, 259.0], [345.0, 259.0], [345.0, 273.0], [308.0, 273.0]], ('22.00', 0.9934528470039368)], [[[74.0, 274.0], [162.0, 274.0], [162.0, 291.0], [74.0, 291.0]], ('1xChasspatzli', 0.9404067993164062)], [[[205.0, 277.0], [215.0, 279.0], [214.0, 290.0], [203.0, 288.0]], ('a', 0.9759572148323059)], [[[221.0, 276.0], [268.0, 276.0], [268.0, 291.0], [221.0, 291.0]], ('18.50', 0.9931868314743042)], [[[265.0, 276.0], [292.0, 276.0], [292.0, 291.0], [265.0, 291.0]], ('CHF', 0.989770233631134)], [[[311.0, 276.0], [345.0, 276.0], [345.0, 291.0], [311.0, 291.0]], ('18.50', 0.9971354603767395)], [[[155.0, 315.0], [203.0, 315.0], [203.0, 330.0], [155.0, 330.0]], ('Total:', 0.9144968390464783)], [[[224.0, 313.0], [247.0, 313.0], [247.0, 330.0], [224.0, 330.0]], ('CHF', 0.992325484752655)], [[[282.0, 310.0], [336.0, 310.0], [336.0, 331.0], [282.0, 331.0]], ('54.50', 0.9650443196296692)], [[[68.0, 350.0], [188.0, 350.0], [188.0, 364.0], [68.0, 364.0]], ('Incl.7.6%MwSt', 0.9161515831947327)], [[[186.0, 350.0], [252.0, 350.0], [252.0, 364.0], [186.0, 364.0]], ('54.50CHF', 0.9891017079353333)], [[[278.0, 349.0], [307.0, 349.0], [307.0, 365.0], [278.0, 365.0]], ('3.85', 0.9964191913604736)], [[[66.0, 387.0], [275.0, 386.0], [275.0, 403.0], [66.0, 404.0]], ('Entspricht in Euro 36.33 EUR', 0.9548022150993347)], [[[67.0, 408.0], [222.0, 408.0], [222.0, 421.0], [67.0, 421.0]], ('Es bediente Sie:Ursula', 0.9395196437835693)], [[[168.0, 444.0], [280.0, 444.0], [280.0, 458.0], [168.0, 458.0]], ('MwSt Nr.430 234', 0.9016040563583374)], [[[155.0, 463.0], [281.0, 463.0], [281.0, 477.0], [155.0, 477.0]], ('Tel.:033 8536716', 0.9184231758117676)], [[[152.0, 480.0], [282.0, 479.0], [282.0, 495.0], [152.0, 496.0]], ('Fax.033 853 6719', 0.9370526671409607)], [[[86.0, 498.0], [313.0, 498.0], [313.0, 515.0], [86.0, 515.0]], ('E-mai l:grossescheideggbluewin.ch', 0.9551324844360352)]]	{"store_name": "Berghotel GrosseScheidegg", "store_addr": "3818Grindelwald", "telephone": "0338536716", "date": "30.07.2007/", "time": "13:29:17", "subtotal": "", "tax": "3.85", "total": "54.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "2xLatteMacchiato", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "1xGloki", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "1xSchweinschnitzel", "item_value": "18.50", "item_quantity": "1"}, {"item_key": "", "item_name": "1xCh\u00e4ssp\u00e4tzli", "item_value": "22.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[455.0, 0.0], [521.0, 0.0], [523.0, 31.0], [456.0, 33.0]], ('IHOP', 0.9955030679702759)], [[[14.0, 18.0], [247.0, 18.0], [247.0, 32.0], [14.0, 32.0]], ('IHOP receipt offends customers', 0.9595888257026672)], [[[441.0, 34.0], [522.0, 27.0], [524.0, 60.0], [444.0, 67.0]], ('#1421', 0.9987244606018066)], [[[326.0, 70.0], [671.0, 48.0], [673.0, 84.0], [329.0, 105.0]], ('707 E.Cesar Chavez St.', 0.9342551827430725)], [[[384.0, 103.0], [626.0, 84.0], [628.0, 116.0], [386.0, 134.0]], ('AustinTX78701', 0.9876582026481628)], [[[401.0, 134.0], [613.0, 119.0], [615.0, 151.0], [403.0, 166.0]], ('(512)478-1188', 0.9251465201377869)], [[[248.0, 195.0], [448.0, 189.0], [449.0, 223.0], [248.0, 229.0]], ('100092Dwayne W', 0.9306097030639648)], [[[737.0, 226.0], [847.0, 218.0], [850.0, 258.0], [740.0, 266.0]], ('Gst 2', 0.9324289560317993)], [[[236.0, 257.0], [353.0, 252.0], [354.0, 287.0], [237.0, 292.0]], ('Chk 2645', 0.9453334808349609)], [[[450.0, 253.0], [588.0, 243.0], [591.0, 275.0], [453.0, 285.0]], ('BLACK PPL', 0.9498507380485535)], [[[404.0, 286.0], [644.0, 272.0], [646.0, 304.0], [406.0, 318.0]], ('Feb291603:03AM', 0.9607900381088257)], [[[304.0, 348.0], [439.0, 345.0], [439.0, 380.0], [305.0, 382.0]], ('To Go', 0.8518242835998535)], [[[716.0, 360.0], [805.0, 351.0], [809.0, 387.0], [719.0, 396.0]], ('$2.79', 0.9918645620346069)], [[[283.0, 383.0], [456.0, 380.0], [456.0, 411.0], [284.0, 414.0]], ('1Splashberry', 0.9739196300506592)], [[[719.0, 392.0], [808.0, 383.0], [812.0, 419.0], [723.0, 428.0]], ('$2.39', 0.9942251443862915)], [[[308.0, 413.0], [460.0, 410.0], [460.0, 441.0], [309.0, 444.0]], ('Sierra Mist', 0.9749112725257874)], [[[722.0, 424.0], [810.0, 414.0], [814.0, 450.0], [726.0, 460.0]], ('$9.99', 0.9951814413070679)], [[[295.0, 444.0], [441.0, 444.0], [441.0, 476.0], [295.0, 476.0]], ('1 Big Steak', 0.9053879380226135)], [[[725.0, 456.0], [813.0, 447.0], [817.0, 483.0], [728.0, 492.0]], ('$9.79', 0.993552029132843)], [[[55.0, 474.0], [150.0, 474.0], [150.0, 506.0], [55.0, 506.0]], ('FOX7', 0.9339361190795898)], [[[298.0, 476.0], [432.0, 474.0], [432.0, 505.0], [299.0, 507.0]], ('1CoTorado', 0.9856679439544678)], [[[54.0, 513.0], [100.0, 513.0], [100.0, 535.0], [54.0, 535.0]], ('9:20', 0.9320234060287476)], [[[119.0, 514.0], [150.0, 514.0], [150.0, 533.0], [119.0, 533.0]], ('69', 0.9768953323364258)]]	{"store_name": "IHOP", "store_addr": "707E.CesarChavezSt. Austin,TX78701", "telephone": "(512)478-1188", "date": "Feb29'16", "time": "03:03AM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Splashberry", "item_value": "$2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "SierraMist", "item_value": "$2.39", "item_quantity": "1"}, {"item_key": "", "item_name": "BigSteak", "item_value": "$9.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Colorado", "item_value": "$9.79", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[76.0, 53.0], [216.0, 41.0], [217.0, 54.0], [77.0, 66.0]], ('Sala 1 intorn-Tavolo 10', 0.7996907234191895)], [[[72.0, 66.0], [116.0, 64.0], [116.0, 74.0], [72.0, 77.0]], ('28/04/2017', 0.8713669776916504)], [[[71.0, 89.0], [80.0, 89.0], [80.0, 97.0], [71.0, 97.0]], ('2', 0.9545321464538574)], [[[76.0, 86.0], [127.0, 83.0], [128.0, 97.0], [76.0, 100.0]], ('X5.00', 0.8055412173271179)], [[[82.0, 97.0], [124.0, 97.0], [124.0, 108.0], [82.0, 108.0]], ('COPERTO', 0.9881170988082886)], [[[223.0, 90.0], [253.0, 90.0], [253.0, 104.0], [223.0, 104.0]], ('10.00', 0.8822251558303833)], [[[69.0, 114.0], [78.0, 114.0], [78.0, 122.0], [69.0, 122.0]], ('2', 0.9278581738471985)], [[[81.0, 111.0], [132.0, 108.0], [133.0, 119.0], [81.0, 122.0]], ('X36.00', 0.8178178668022156)], [[[80.0, 122.0], [175.0, 119.0], [175.0, 131.0], [80.0, 133.0]], ('ANTIPASTIMISTIDIMARE', 0.9858453869819641)], [[[222.0, 118.0], [253.0, 118.0], [253.0, 132.0], [222.0, 132.0]], ('72,00', 0.9220210313796997)], [[[68.0, 138.0], [82.0, 138.0], [82.0, 145.0], [68.0, 145.0]], ('1', 0.7264755964279175)], [[[81.0, 135.0], [132.0, 135.0], [132.0, 146.0], [81.0, 146.0]], ('X40.00', 0.890847384929657)], [[[80.0, 146.0], [168.0, 146.0], [168.0, 159.0], [80.0, 159.0]], ('GRAN CRUDODIMARE', 0.9433436393737793)], [[[222.0, 144.0], [253.0, 144.0], [253.0, 158.0], [222.0, 158.0]], ('40.00', 0.9743324518203735)], [[[66.0, 161.0], [127.0, 161.0], [127.0, 172.0], [66.0, 172.0]], ('1X4.00', 0.8689110279083252)], [[[80.0, 173.0], [109.0, 173.0], [109.0, 184.0], [80.0, 184.0]], ('CAFFE', 0.9950790405273438)], [[[228.0, 171.0], [253.0, 171.0], [253.0, 183.0], [228.0, 183.0]], ('4.00', 0.9714462161064148)], [[[65.0, 183.0], [128.0, 185.0], [127.0, 199.0], [64.0, 197.0]], ('1x7.00', 0.6813390254974365)], [[[79.0, 199.0], [113.0, 199.0], [113.0, 210.0], [79.0, 210.0]], ('GELATO', 0.997620165348053)], [[[228.0, 196.0], [253.0, 196.0], [253.0, 208.0], [228.0, 208.0]], ('7,00', 0.884340763092041)], [[[84.0, 227.0], [133.0, 227.0], [133.0, 238.0], [84.0, 238.0]], ('..FOOD', 0.8083152770996094)], [[[214.0, 225.0], [254.0, 225.0], [254.0, 239.0], [214.0, 239.0]], ('133,00', 0.9121789336204529)], [[[78.0, 244.0], [128.0, 246.0], [127.0, 260.0], [78.0, 258.0]], ('X4.00', 0.8464891314506531)], [[[80.0, 260.0], [149.0, 260.0], [149.0, 271.0], [80.0, 271.0]], ('ACQUA GASSATA', 0.9621767401695251)], [[[229.0, 257.0], [254.0, 260.0], [253.0, 272.0], [228.0, 269.0]], ('4.00 ', 0.8747262954711914)], [[[66.0, 274.0], [128.0, 274.0], [128.0, 285.0], [66.0, 285.0]], ('2X5.00', 0.9028377532958984)], [[[79.0, 286.0], [140.0, 286.0], [140.0, 297.0], [79.0, 297.0]], ('VINO AL BICCS', 0.8462336659431458)], [[[226.0, 284.0], [254.0, 284.0], [254.0, 298.0], [226.0, 298.0]], ('10.00', 0.9315091967582703)], [[[85.0, 315.0], [147.0, 315.0], [147.0, 326.0], [85.0, 326.0]], ('..CANTINA', 0.8506115078926086)], [[[224.0, 314.0], [254.0, 314.0], [254.0, 325.0], [224.0, 325.0]], ('14.00', 0.9351624250411987)], [[[64.0, 344.0], [109.0, 344.0], [109.0, 359.0], [64.0, 359.0]], ('TOTALE', 0.9986678957939148)], [[[205.0, 343.0], [256.0, 343.0], [256.0, 361.0], [205.0, 361.0]], ('147,00', 0.8900604844093323)], [[[120.0, 379.0], [207.0, 379.0], [207.0, 393.0], [120.0, 393.0]], ('Conto non Fiscale.', 0.9475804567337036)], [[[70.0, 395.0], [241.0, 397.0], [241.0, 411.0], [70.0, 409.0]], ('Ritirare ScontrinoiFattura alla cassa.', 0.9510926604270935)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "28/04/2017", "time": "", "subtotal": "", "tax": "", "total": "147.00\u20ac", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "COPERTO", "item_value": "14.00\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "ANTIPASTIMISTIDIMARE", "item_value": "10.00\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "GRANCRUDODLMARE", "item_value": "4.00\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFFE", "item_value": "133.00\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "GELATO", "item_value": "7.00\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "ACQUAGASSATA", "item_value": "4.00\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "40.00\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "72.00\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "10.00\u20ac", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[312.0, 12.0], [389.0, 16.0], [388.0, 38.0], [311.0, 34.0]], ('SHIZEN', 0.9981550574302673)], [[[275.0, 34.0], [411.0, 42.0], [409.0, 63.0], [274.0, 55.0]], ('370 14th ST', 0.9309184551239014)], [[[199.0, 53.0], [496.0, 69.0], [494.0, 94.0], [198.0, 78.0]], ('SAN FRANCISCOCA94103', 0.9611623883247375)], [[[233.0, 82.0], [447.0, 92.0], [446.0, 117.0], [232.0, 107.0]], ('ph 415678-5767', 0.9593157172203064)], [[[269.0, 144.0], [408.0, 147.0], [408.0, 172.0], [269.0, 169.0]], ('Guest Check', 0.9665223956108093)], [[[208.0, 172.0], [480.0, 184.0], [479.0, 209.0], [207.0, 197.0]], ('Thank You for Visiting', 0.9432245492935181)], [[[207.0, 235.0], [478.0, 245.0], [477.0, 270.0], [206.0, 260.0]], ('TABLE:C4:2-3Guests', 0.9328935146331787)], [[[205.0, 268.0], [466.0, 277.0], [466.0, 302.0], [204.0, 293.0]], ('Your Server was Nomin', 0.9458163380622864)], [[[117.0, 296.0], [563.0, 312.0], [562.0, 337.0], [116.0, 321.0]], ('1/29/20159:07:29PM-ID#0056218', 0.954042375087738)], [[[75.0, 357.0], [132.0, 357.0], [132.0, 385.0], [75.0, 385.0]], ('ITEM', 0.9980853199958801)], [[[458.0, 367.0], [503.0, 370.0], [501.0, 399.0], [456.0, 396.0]], ('QTY', 0.997353732585907)], [[[533.0, 372.0], [600.0, 377.0], [598.0, 404.0], [531.0, 400.0]], ('PRICE', 0.998740017414093)], [[[77.0, 419.0], [360.0, 431.0], [359.0, 456.0], [77.0, 444.0]], ('Spicy Garlic Miso Ramen', 0.9541872143745422)], [[[468.0, 434.0], [485.0, 434.0], [485.0, 459.0], [468.0, 459.0]], ('1', 0.9585305452346802)], [[[519.0, 434.0], [597.0, 439.0], [595.0, 466.0], [518.0, 461.0]], ('$12.00', 0.9523992538452148)], [[[77.0, 451.0], [264.0, 458.0], [263.0, 483.0], [77.0, 476.0]], ('Choice of Three', 0.9519525766372681)], [[[517.0, 466.0], [595.0, 471.0], [594.0, 497.0], [516.0, 492.0]], ('$15.00', 0.9979887008666992)], [[[140.0, 484.0], [297.0, 489.0], [296.0, 514.0], [139.0, 509.0]], ('Open Discount', 0.9650073647499084)], [[[509.0, 498.0], [589.0, 501.0], [588.0, 528.0], [507.0, 525.0]], ('$5.00', 0.9960430264472961)], [[[77.0, 512.0], [262.0, 519.0], [261.0, 543.0], [77.0, 536.0]], ('Open Invitation', 0.972822368144989)], [[[464.0, 529.0], [481.0, 529.0], [481.0, 552.0], [464.0, 552.0]], ('1', 0.9836099147796631)], [[[514.0, 530.0], [591.0, 533.0], [590.0, 559.0], [513.0, 556.0]], ('$13.00', 0.9973995089530945)], [[[78.0, 544.0], [235.0, 548.0], [234.0, 572.0], [78.0, 567.0]], ('Body and Soul', 0.9301491379737854)], [[[462.0, 560.0], [479.0, 560.0], [479.0, 584.0], [462.0, 584.0]], ('1', 0.9866684675216675)], [[[513.0, 561.0], [590.0, 564.0], [589.0, 590.0], [512.0, 587.0]], ('$11.00', 0.996858537197113)], [[[79.0, 572.0], [248.0, 580.0], [246.0, 605.0], [78.0, 597.0]], ('Suprise Ending', 0.962943434715271)], [[[463.0, 593.0], [478.0, 593.0], [478.0, 615.0], [463.0, 615.0]], ('1', 0.9772746562957764)], [[[510.0, 592.0], [588.0, 595.0], [587.0, 621.0], [510.0, 618.0]], ('$13.00', 0.99831622838974)], [[[79.0, 602.0], [255.0, 609.0], [254.0, 634.0], [78.0, 627.0]], ('Sapporo (Draft)', 0.911138117313385)], [[[367.0, 616.0], [473.0, 622.0], [471.0, 648.0], [365.0, 642.0]], ('2@$5.50', 0.9930976629257202)], [[[78.0, 631.0], [189.0, 636.0], [188.0, 662.0], [76.0, 657.0]], ('Open Food', 0.9519124627113342)], [[[511.0, 623.0], [587.0, 626.0], [586.0, 652.0], [509.0, 649.0]], ('$11.00', 0.9946654438972473)], [[[458.0, 654.0], [475.0, 654.0], [475.0, 679.0], [458.0, 679.0]], ('1', 0.9902468919754028)], [[[520.0, 655.0], [586.0, 658.0], [585.0, 684.0], [519.0, 681.0]], ('$6.00', 0.9975350499153137)], [[[253.0, 699.0], [346.0, 708.0], [344.0, 734.0], [251.0, 725.0]], ('Subtotal', 0.9948110580444336)], [[[504.0, 715.0], [583.0, 719.0], [582.0, 745.0], [503.0, 741.0]], ('$76.00', 0.9971647262573242)], [[[244.0, 731.0], [408.0, 747.0], [405.0, 772.0], [241.0, 756.0]], ('Tkt.Discounts', 0.98928302526474)], [[[497.0, 747.0], [578.0, 749.0], [577.0, 775.0], [496.0, 773.0]], ('$5.00', 0.9962665438652039)], [[[253.0, 762.0], [383.0, 776.0], [380.0, 801.0], [250.0, 787.0]], ('Total Taxes', 0.9633066058158875)], [[[515.0, 778.0], [580.0, 781.0], [579.0, 808.0], [514.0, 805.0]], ('$6.45', 0.9960800409317017)], [[[248.0, 821.0], [379.0, 835.0], [376.0, 863.0], [245.0, 849.0]], ('Grand Total', 0.938870370388031)], [[[499.0, 838.0], [578.0, 841.0], [577.0, 867.0], [498.0, 864.0]], ('$82.45', 0.9968953728675842)], [[[248.0, 853.0], [377.0, 869.0], [374.0, 894.0], [245.0, 878.0]], ('Amount Due:', 0.9598033428192139)], [[[497.0, 868.0], [574.0, 871.0], [574.0, 897.0], [496.0, 895.0]], ('$82.45', 0.9969150424003601)], [[[209.0, 906.0], [412.0, 924.0], [409.0, 956.0], [207.0, 939.0]], ('Please Come Back!', 0.9319390654563904)], [[[243.0, 944.0], [377.0, 955.0], [374.0, 984.0], [240.0, 973.0]], ('Guest Check', 0.9720763564109802)]]	{"store_name": "SHIZEN", "store_addr": "SANFRANCISCO,CA94103 37014thST", "telephone": "(415)678-5767", "date": "1/29/2015", "time": "9:07:29PM", "subtotal": "$76.00", "tax": "$6.45", "total": "$82.45 $82.45", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "OpenFood", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sapporo(Draft)", "item_value": "$11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SupriseEnding", "item_value": "$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BodyandSoul", "item_value": "$11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OpenInvitation", "item_value": "$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChoiceofThree", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SpicyGarlicMisoRamen", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "ITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[124.0, 13.0], [239.0, 8.0], [240.0, 37.0], [126.0, 43.0]], ('newg', 0.7941087484359741)], [[[166.0, 38.0], [209.0, 38.0], [209.0, 52.0], [166.0, 52.0]], ('Cafe-', 0.9670400619506836)], [[[85.0, 65.0], [226.0, 71.0], [225.0, 91.0], [84.0, 85.0]], ('Ma11 Of The Emirates', 0.9245780110359192)], [[[86.0, 82.0], [230.0, 89.0], [229.0, 107.0], [85.0, 100.0]], ('Te1 No-043411671', 0.9194436073303223)], [[[106.0, 101.0], [219.0, 107.0], [218.0, 124.0], [105.0, 118.0]], ('www.binhendi.com', 0.9498242139816284)], [[[30.0, 135.0], [107.0, 135.0], [107.0, 152.0], [30.0, 152.0]], ('1028 GAZZEL', 0.9492114782333374)], [[[19.0, 169.0], [80.0, 169.0], [80.0, 187.0], [19.0, 187.0]], ('Chk 6652', 0.9525590538978577)], [[[141.0, 171.0], [301.0, 171.0], [301.0, 188.0], [141.0, 188.0]], ("Ju117'15 0553PMGst1", 0.9166937470436096)], [[[46.0, 202.0], [161.0, 206.0], [160.0, 223.0], [46.0, 219.0]], ('Delivery', 0.9944895505905151)], [[[33.0, 222.0], [115.0, 222.0], [115.0, 239.0], [33.0, 239.0]], ('1 Crab Cake', 0.9320082068443298)], [[[241.0, 221.0], [281.0, 221.0], [281.0, 239.0], [241.0, 239.0]], ('56.00', 0.9951314926147461)], [[[32.0, 238.0], [103.0, 240.0], [102.0, 257.0], [32.0, 255.0]], ('1 Edamame', 0.9392570853233337)], [[[241.0, 239.0], [281.0, 239.0], [281.0, 257.0], [241.0, 257.0]], ('28.00', 0.9961141347885132)], [[[32.0, 256.0], [162.0, 255.0], [162.0, 272.0], [32.0, 273.0]], ('1 Stir Fry Chicken', 0.9461852312088013)], [[[241.0, 255.0], [281.0, 255.0], [281.0, 273.0], [241.0, 273.0]], ('52.00', 0.9976798892021179)], [[[35.0, 275.0], [162.0, 275.0], [162.0, 289.0], [35.0, 289.0]], ('1 De1ivery Charges', 0.9262263774871826)], [[[247.0, 272.0], [281.0, 272.0], [281.0, 290.0], [247.0, 290.0]], ('5.00', 0.9983249306678772)], [[[48.0, 305.0], [121.0, 308.0], [121.0, 326.0], [48.0, 323.0]], ('Amount Due', 0.9754241704940796)], [[[198.0, 305.0], [280.0, 308.0], [279.0, 325.0], [198.0, 322.0]], ('141.00', 0.9974961280822754)], [[[63.0, 342.0], [242.0, 342.0], [242.0, 359.0], [63.0, 359.0]], ('Thank you for choosing us', 0.9586851000785828)], [[[63.0, 361.0], [244.0, 361.0], [244.0, 375.0], [63.0, 375.0]], ('Looking forward to happiTy', 0.9405167102813721)], [[[106.0, 378.0], [211.0, 378.0], [211.0, 392.0], [106.0, 392.0]], ('serve you again', 0.9635618329048157)], [[[78.0, 410.0], [231.0, 410.0], [231.0, 427.0], [78.0, 427.0]], ("IF IT'S NOT THE BEST", 0.9114753007888794)], [[[104.0, 428.0], [219.0, 426.0], [219.0, 443.0], [104.0, 445.0]], ("IT'S NOT FOR US.", 0.9086001515388489)]]	{"store_name": "Caf\u00e9", "store_addr": "MallOfTheEmirates", "telephone": "No-04-3411671", "date": "Jul17'15", "time": "05:53PM", "subtotal": "", "tax": "", "total": "141.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CrabCake", "item_value": "56.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Edamame", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StirFryChicken", "item_value": "52.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DeliveryCharges", "item_value": "5.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[137.0, 22.0], [319.0, 19.0], [319.0, 39.0], [137.0, 42.0]], ('CAFFELAVENA SRL', 0.9278208613395691)], [[[91.0, 39.0], [369.0, 36.0], [369.0, 57.0], [91.0, 60.0]], ('SANMARCO 133-134VENEZ1A', 0.862697184085846)], [[[124.0, 57.0], [348.0, 57.0], [348.0, 77.0], [124.0, 77.0]], ('PART.1UA 03010750275', 0.9207979440689087)], [[[125.0, 78.0], [338.0, 78.0], [338.0, 98.0], [125.0, 98.0]], ('TEL 39041.5224070', 0.9377369284629822)], [[[155.0, 100.0], [305.0, 100.0], [305.0, 121.0], [155.0, 121.0]], ('WWW.LAVENA.IT', 0.9232656955718994)], [[[362.0, 127.0], [415.0, 123.0], [416.0, 145.0], [364.0, 149.0]], ('EURO', 0.9335899949073792)], [[[59.0, 155.0], [249.0, 154.0], [250.0, 174.0], [59.0, 175.0]], ('SPREMUTA ARANCIA', 0.9734874963760376)], [[[355.0, 149.0], [418.0, 144.0], [419.0, 165.0], [357.0, 170.0]], ('10.00', 0.9945176839828491)], [[[58.0, 177.0], [201.0, 174.0], [201.0, 195.0], [59.0, 198.0]], ('BLACK COFFEE', 0.9256824851036072)], [[[366.0, 168.0], [421.0, 165.0], [422.0, 188.0], [367.0, 190.0]], ('8.50', 0.9440646767616272)], [[[55.0, 200.0], [178.0, 196.0], [178.0, 217.0], [56.0, 221.0]], ('CAPPUCCINO', 0.9819639325141907)], [[[369.0, 191.0], [423.0, 189.0], [424.0, 211.0], [370.0, 213.0]], ('8,50', 0.8701156377792358)], [[[370.0, 214.0], [426.0, 212.0], [427.0, 234.0], [371.0, 236.0]], ('8.50', 0.9680200219154358)], [[[54.0, 224.0], [265.0, 217.0], [266.0, 238.0], [55.0, 245.0]], ('CAPPUCCINO DECAFF', 0.9681771397590637)], [[[374.0, 237.0], [430.0, 237.0], [430.0, 259.0], [374.0, 259.0]], ('4.50', 0.8828593492507935)], [[[53.0, 249.0], [164.0, 245.0], [165.0, 266.0], [54.0, 270.0]], ('CROISSANT', 0.9916737079620361)], [[[364.0, 261.0], [432.0, 259.0], [433.0, 284.0], [365.0, 287.0]], ('11.00', 0.9953134655952454)], [[[52.0, 273.0], [213.0, 267.0], [214.0, 289.0], [53.0, 296.0]], ('TOAST FARCITO', 0.9538481831550598)], [[[367.0, 287.0], [436.0, 287.0], [436.0, 312.0], [367.0, 312.0]], ('12.80', 0.9255924224853516)], [[[50.0, 300.0], [226.0, 292.0], [227.0, 316.0], [51.0, 324.0]], ('FETTA DI TORTA', 0.934930145740509)], [[[366.0, 314.0], [443.0, 314.0], [443.0, 362.0], [366.0, 362.0]], ('63,80', 0.9568604230880737)], [[[48.0, 326.0], [157.0, 323.0], [158.0, 366.0], [49.0, 369.0]], ('TOTALE ', 0.9443219900131226)], [[[371.0, 364.0], [443.0, 361.0], [444.0, 387.0], [372.0, 390.0]], ('63,80', 0.8677350878715515)], [[[47.0, 374.0], [150.0, 369.0], [151.0, 394.0], [48.0, 399.0]], ('CONTANTE', 0.9969315528869629)], [[[48.0, 401.0], [116.0, 401.0], [116.0, 427.0], [48.0, 427.0]], ('RESTO', 0.9984794855117798)], [[[386.0, 392.0], [447.0, 392.0], [447.0, 418.0], [386.0, 418.0]], ('0.00', 0.956520140171051)]]	{"store_name": "", "store_addr": "SANMARCO133-134VENEZIA", "telephone": "390415224070", "date": "", "time": "", "subtotal": "", "tax": "", "total": "63,80", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SPREMUTAARANCIA", "item_value": "8,50", "item_quantity": "1"}, {"item_key": "", "item_name": "BLACKCOFFEE", "item_value": "4,50", "item_quantity": "1"}, {"item_key": "", "item_name": "CAPPUCCINO", "item_value": "11,00", "item_quantity": "1"}, {"item_key": "", "item_name": "CAPPUCCINODECAFF", "item_value": "12,80", "item_quantity": "1"}, {"item_key": "", "item_name": "CROISSANT", "item_value": "10,00", "item_quantity": "1"}, {"item_key": "", "item_name": "TOASTFARCITO", "item_value": "8,50", "item_quantity": "1"}, {"item_key": "", "item_name": "FETTADITORTA", "item_value": "8,50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[350.0, 160.0], [582.0, 171.0], [580.0, 197.0], [348.0, 185.0]], ('GSTNo200716636K', 0.9682431817054749)], [[[351.0, 234.0], [539.0, 245.0], [538.0, 269.0], [349.0, 259.0]], ('TABLE12', 0.9715749025344849)], [[[202.0, 259.0], [265.0, 259.0], [265.0, 283.0], [202.0, 283.0]], ('Pax:2', 0.944902241230011)], [[[361.0, 262.0], [482.0, 269.0], [480.0, 292.0], [359.0, 284.0]], ('OP:Lizette', 0.9220868945121765)], [[[576.0, 271.0], [651.0, 271.0], [651.0, 294.0], [576.0, 294.0]], ('lizeil', 0.9849205017089844)], [[[200.0, 281.0], [468.0, 293.0], [466.0, 318.0], [198.0, 307.0]], ('POS litle:Canopy Urder', 0.8834526538848877)], [[[201.0, 307.0], [420.0, 315.0], [419.0, 341.0], [200.0, 333.0]], ('Rcpt#:A11000015991', 0.9811596274375916)], [[[489.0, 320.0], [687.0, 322.0], [687.0, 344.0], [489.0, 341.0]], ('14/05/201119:35', 0.8864990472793579)], [[[224.0, 355.0], [313.0, 359.0], [312.0, 384.0], [222.0, 380.0]], ('I Latte', 0.8772665858268738)], [[[621.0, 367.0], [688.0, 369.0], [687.0, 396.0], [620.0, 393.0]], ('$5.00', 0.9974778890609741)], [[[224.0, 382.0], [406.0, 391.0], [405.0, 413.0], [222.0, 404.0]], ('1 With Soy Mk', 0.8133330941200256)], [[[224.0, 405.0], [404.0, 414.0], [402.0, 440.0], [222.0, 431.0]], ('1 Chai (Vania)', 0.8243724703788757)], [[[620.0, 396.0], [685.0, 396.0], [685.0, 419.0], [620.0, 419.0]], ('$1.00', 0.9048887491226196)], [[[620.0, 419.0], [685.0, 419.0], [685.0, 443.0], [620.0, 443.0]], ('$6.0U', 0.6761223077774048)], [[[224.0, 432.0], [416.0, 440.0], [416.0, 461.0], [224.0, 453.0]], ('1 Crabmeat Pasta', 0.9342902302742004)], [[[606.0, 442.0], [682.0, 445.0], [681.0, 467.0], [605.0, 465.0]], ('$19.0U', 0.8247625827789307)], [[[222.0, 455.0], [359.0, 461.0], [358.0, 484.0], [221.0, 478.0]], ('1 Pork Rack', 0.8720977902412415)], [[[606.0, 465.0], [682.0, 469.0], [680.0, 494.0], [605.0, 490.0]], ('$26.00', 0.9796754717826843)], [[[246.0, 501.0], [344.0, 505.0], [343.0, 527.0], [245.0, 523.0]], ('SUBTOTAL', 0.9246553182601929)], [[[606.0, 511.0], [684.0, 513.0], [683.0, 537.0], [605.0, 534.0]], ('$57.00', 0.9620367884635925)], [[[619.0, 537.0], [685.0, 537.0], [685.0, 560.0], [619.0, 560.0]], ('$5.70', 0.8976138830184937)], [[[244.0, 548.0], [287.0, 551.0], [286.0, 575.0], [242.0, 572.0]], ('Gst', 0.9852581024169922)], [[[619.0, 558.0], [686.0, 560.0], [685.0, 587.0], [618.0, 584.0]], ('$4.39', 0.9947879910469055)], [[[247.0, 595.0], [367.0, 601.0], [365.0, 628.0], [245.0, 621.0]], ('TOTAL', 0.9953538775444031)], [[[535.0, 605.0], [683.0, 609.0], [682.0, 634.0], [534.0, 629.0]], ('$6/10', 0.8492755889892578)], [[[241.0, 650.0], [298.0, 650.0], [298.0, 674.0], [241.0, 674.0]], ('CASH', 0.9848085045814514)], [[[607.0, 656.0], [687.0, 658.0], [686.0, 684.0], [606.0, 681.0]], ('$70.00', 0.9788849949836731)], [[[243.0, 672.0], [321.0, 679.0], [319.0, 706.0], [241.0, 699.0]], ('Change', 0.9980371594429016)], [[[621.0, 681.0], [688.0, 685.0], [687.0, 712.0], [619.0, 708.0]], ('$2.90', 0.987190842628479)], [[[380.0, 755.0], [512.0, 755.0], [512.0, 778.0], [380.0, 778.0]], ('Closed Hiil', 0.7868055701255798)], [[[336.0, 779.0], [542.0, 781.0], [542.0, 806.0], [336.0, 804.0]], ('14/05/201120:51', 0.9593283534049988)], [[[342.0, 833.0], [511.0, 830.0], [512.0, 854.0], [343.0, 858.0]], ('Hishan Park ', 0.8623232245445251)], [[[315.0, 854.0], [575.0, 857.0], [575.0, 890.0], [315.0, 887.0]], ('1382 Ang Mo Ko Ave 1', 0.9010059237480164)], [[[341.0, 883.0], [539.0, 880.0], [539.0, 910.0], [342.0, 913.0]], ('Singapore 569931', 0.9632328152656555)]]	{"store_name": "DeliInThePark", "store_addr": "1382AmgMoKioAve1 Singapore569931", "telephone": "", "date": "14/05/2011", "time": "", "subtotal": "$57.00", "tax": "", "total": "TOTAL", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Latte", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WithSoyMilk", "item_value": "$1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Chai(Vanila)", "item_value": "$6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CrabmeatPasta", "item_value": "$19.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PorkRack", "item_value": "$26.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[1632.0, 688.0], [2174.0, 706.0], [2172.0, 755.0], [1630.0, 737.0]], ('EUDDRUCKERS', 0.9584138989448547)], [[[1521.0, 786.0], [1727.0, 790.0], [1727.0, 829.0], [1521.0, 825.0]], ('0459', 0.9947062730789185)], [[[1428.0, 825.0], [1641.0, 825.0], [1641.0, 864.0], [1428.0, 864.0]], ('ASHLEY G', 0.928859531879425)], [[[1709.0, 824.0], [1975.0, 844.0], [1972.0, 893.0], [1705.0, 873.0]], ('SvrCk39', 0.9734798669815063)], [[[1983.0, 835.0], [2370.0, 861.0], [2367.0, 910.0], [1980.0, 884.0]], ('7:40p07/27/11', 0.9597263932228088)], [[[1415.0, 857.0], [1617.0, 860.0], [1617.0, 899.0], [1414.0, 895.0]], ('DINE', 0.9892332553863525)], [[[1679.0, 855.0], [1791.0, 873.0], [1785.0, 911.0], [1674.0, 893.0]], ('IN', 0.9895265102386475)], [[[1454.0, 881.0], [1882.0, 900.0], [1880.0, 959.0], [1451.0, 940.0]], ('COUNTER-', 0.991506814956665)], [[[1389.0, 954.0], [2102.0, 1002.0], [2099.0, 1058.0], [1386.0, 1010.0]], ('NACHos,loaded chx nachos,', 0.8772808313369751)], [[[2378.0, 1056.0], [2507.0, 1065.0], [2504.0, 1118.0], [2375.0, 1109.0]], ('8.49', 0.9944379925727844)], [[[1383.0, 1071.0], [1616.0, 1067.0], [1617.0, 1130.0], [1384.0, 1135.0]], ('NAME,JIM', 0.9551727771759033)], [[[2407.0, 1190.0], [2537.0, 1190.0], [2537.0, 1257.0], [2407.0, 1257.0]], ('8.49', 0.9960702657699585)], [[[2008.0, 1201.0], [2304.0, 1201.0], [2304.0, 1261.0], [2008.0, 1261.0]], ('Sub Total:', 0.9541561007499695)], [[[1924.0, 1273.0], [2020.0, 1283.0], [2015.0, 1343.0], [1918.0, 1333.0]], ('Tax', 0.9937623143196106)], [[[2407.0, 1264.0], [2544.0, 1264.0], [2544.0, 1331.0], [2407.0, 1331.0]], ('0.70', 0.9955921173095703)], [[[2267.0, 1284.0], [2302.0, 1275.0], [2313.0, 1320.0], [2278.0, 1330.0]], (':', 0.7811270952224731)], [[[2304.0, 1334.0], [2548.0, 1334.0], [2548.0, 1408.0], [2304.0, 1408.0]], ('9.19', 0.9981114268302917)], [[[1380.0, 1352.0], [2060.0, 1352.0], [2060.0, 1412.0], [1380.0, 1412.0]], ('07/27 7:41pTOTAL', 0.927383303642273)], [[[1607.0, 1717.0], [2245.0, 1717.0], [2245.0, 1777.0], [1607.0, 1777.0]], ('FUDDS PRIME', 0.9554775357246399)], [[[1696.0, 1794.0], [2177.0, 1794.0], [2177.0, 1840.0], [1696.0, 1840.0]], ('find out more at', 0.9588800668716431)], [[[1415.0, 1843.0], [2513.0, 1847.0], [2513.0, 1907.0], [1414.0, 1903.0]], ('www.fuddsprime.com', 0.9830763339996338)], [[[1521.0, 1970.0], [2630.0, 1977.0], [2630.0, 2037.0], [1521.0, 2029.0]], ('iiiiiiiiiiiiiiiiii', 0.836292564868927)], [[[1347.0, 2033.0], [2534.0, 2054.0], [2533.0, 2114.0], [1346.0, 2092.0]], ('iiiiiiiiiiiiiiiiiii', 0.850150465965271)], [[[1329.0, 2106.0], [2610.0, 2132.0], [2609.0, 2191.0], [1328.0, 2166.0]], ('****************************************', 0.9663934707641602)], [[[1323.0, 2184.0], [2380.0, 2209.0], [2378.0, 2279.0], [1321.0, 2254.0]], ('Wina $100 Gift', 0.8506671190261841)], [[[2348.0, 2216.0], [2651.0, 2216.0], [2651.0, 2275.0], [2348.0, 2275.0]], ('Card!', 0.9908204078674316)], [[[1320.0, 2268.0], [2160.0, 2290.0], [2158.0, 2364.0], [1318.0, 2342.0]], ('One Winner Every Month !!!', 0.9381808042526245)], [[[1316.0, 2352.0], [2157.0, 2374.0], [2155.0, 2445.0], [1314.0, 2422.0]], ('Follow These Simple Steps:', 0.925371527671814)]]	{"store_name": "FUDDRUCKERS", "store_addr": "", "telephone": "", "date": "07/27/11 07/27", "time": "7:41p", "subtotal": "8.49", "tax": "0.70", "total": "9.19", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NACHOS.loadedchxnachos.", "item_value": "8.49", "item_quantity": "1"}, {"item_key": "", "item_name": "add1/3patty", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[132.0, 76.0], [158.0, 76.0], [158.0, 91.0], [132.0, 91.0]], ('H&M', 0.9744264483451843)], [[[80.0, 93.0], [216.0, 82.0], [217.0, 99.0], [81.0, 110.0]], ('H& M Retail Sdn Bhd', 0.8754388689994812)], [[[106.0, 106.0], [195.0, 99.0], [196.0, 113.0], [107.0, 120.0]], ('www.hm.com/my', 0.9644230604171753)], [[[95.0, 119.0], [201.0, 111.0], [202.0, 125.0], [96.0, 133.0]], ('Co.No976046-V', 0.9503672122955322)], [[[89.0, 145.0], [207.0, 138.0], [208.0, 151.0], [90.0, 158.0]], ('50250 Kuala Lumpur', 0.9009379148483276)], [[[109.0, 157.0], [195.0, 150.0], [196.0, 164.0], [110.0, 171.0]], ('+603-26021838', 0.9918028116226196)], [[[83.0, 169.0], [208.0, 162.0], [209.0, 180.0], [84.0, 186.0]], ('GST No00116115046', 0.9694846868515015)], [[[31.0, 193.0], [58.0, 198.0], [56.0, 213.0], [29.0, 209.0]], ('SA:', 0.9253840446472168)], [[[77.0, 195.0], [286.0, 184.0], [286.0, 200.0], [78.0, 211.0]], ('465570 Store:600816 No.1251', 0.9088451266288757)], [[[17.0, 209.0], [161.0, 204.0], [162.0, 221.0], [18.0, 226.0]], ('Date2018/08/121', 0.9820650815963745)], [[[194.0, 203.0], [286.0, 199.0], [286.0, 213.0], [194.0, 217.0]], ('4Time:11:52', 0.8939496874809265)], [[[30.0, 258.0], [152.0, 258.0], [152.0, 272.0], [30.0, 272.0]], ('Eguatorial Assortmen', 0.9288643002510071)], [[[246.0, 254.0], [286.0, 254.0], [286.0, 269.0], [246.0, 269.0]], ('54.95', 0.9972124099731445)], [[[28.0, 271.0], [70.0, 271.0], [70.0, 285.0], [28.0, 285.0]], ('0679620', 0.986991822719574)], [[[90.0, 268.0], [103.0, 275.0], [97.0, 288.0], [84.0, 281.0]], ('M', 0.9748835563659668)], [[[133.0, 270.0], [158.0, 270.0], [158.0, 285.0], [133.0, 285.0]], ('Red', 0.9950092434883118)], [[[24.0, 297.0], [154.0, 297.0], [154.0, 311.0], [24.0, 311.0]], ('Equatorlal Assortmen', 0.8979074358940125)], [[[247.0, 294.0], [285.0, 294.0], [285.0, 309.0], [247.0, 309.0]], ('54.95', 0.9889839887619019)], [[[22.0, 310.0], [68.0, 310.0], [68.0, 324.0], [22.0, 324.0]], ('0679620', 0.9904241561889648)], [[[89.0, 313.0], [99.0, 313.0], [99.0, 323.0], [89.0, 323.0]], ('L', 0.9448201060295105)], [[[136.0, 310.0], [159.0, 310.0], [159.0, 322.0], [136.0, 322.0]], ('Red', 0.987586259841919)], [[[15.0, 335.0], [79.0, 335.0], [79.0, 357.0], [15.0, 357.0]], ('Total', 0.998626708984375)], [[[220.0, 343.0], [284.0, 343.0], [284.0, 357.0], [220.0, 357.0]], ('109.90RM', 0.9919846057891846)], [[[24.0, 356.0], [127.0, 356.0], [127.0, 370.0], [24.0, 370.0]], ('Nr o1 1toms', 0.6684861779212952)], [[[259.0, 357.0], [268.0, 357.0], [268.0, 366.0], [259.0, 366.0]], ('2', 0.9930738210678101)], [[[30.0, 375.0], [96.0, 375.0], [96.0, 386.0], [30.0, 386.0]], ('MasterCard', 0.8697570562362671)], [[[172.0, 371.0], [190.0, 371.0], [190.0, 383.0], [172.0, 383.0]], ('RM', 0.9563190937042236)], [[[226.0, 370.0], [265.0, 370.0], [265.0, 381.0], [226.0, 381.0]], ('109.90', 0.9838695526123047)], [[[44.0, 394.0], [164.0, 391.0], [164.0, 408.0], [44.0, 411.0]], ('EFT-trans No=2030', 0.9602302312850952)], [[[45.0, 408.0], [92.0, 408.0], [92.0, 422.0], [45.0, 422.0]], ('Card No', 0.9601855874061584)], [[[123.0, 405.0], [241.0, 403.0], [241.0, 417.0], [123.0, 419.0]], ('xxxxxx7492', 0.7221032381057739)]]	{"store_name": "H&M", "store_addr": "LotsG-13A,No1018,JalanSultanIsmail 50250KualaLumpur", "telephone": "*603-26021838", "date": "2018/08/12", "time": "11:52", "subtotal": "", "tax": "", "total": "109.90RM 109.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "EquatorialAssortmen", "item_value": "54.95", "item_quantity": "1"}, {"item_key": "", "item_name": "EquatorialAssortmen", "item_value": "54.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[178.0, 49.0], [193.0, 49.0], [193.0, 59.0], [178.0, 59.0]], ('ORI', 0.8422527313232422)], [[[92.0, 101.0], [153.0, 101.0], [153.0, 111.0], [92.0, 111.0]], ('100325262', 0.8796129822731018)], [[[88.0, 117.0], [153.0, 113.0], [153.0, 127.0], [88.0, 131.0]], ('TAX INVOICE', 0.9444063305854797)], [[[95.0, 127.0], [153.0, 123.0], [153.0, 137.0], [95.0, 141.0]], ('STABLES BAR', 0.9574472904205322)], [[[55.0, 143.0], [135.0, 145.0], [134.0, 155.0], [54.0, 153.0]], ('B1No570318', 0.8040359616279602)], [[[55.0, 153.0], [138.0, 153.0], [138.0, 163.0], [55.0, 163.0]], ('S11 Date08/06/18', 0.8278132677078247)], [[[142.0, 151.0], [195.0, 151.0], [195.0, 161.0], [142.0, 161.0]], ('095919m', 0.7572464942932129)], [[[167.0, 166.0], [189.0, 166.0], [189.0, 174.0], [167.0, 174.0]], ('Cover', 0.9796509742736816)], [[[55.0, 177.0], [68.0, 177.0], [68.0, 185.0], [55.0, 185.0]], ('08', 0.8599289655685425)], [[[98.0, 176.0], [128.0, 176.0], [128.0, 186.0], [98.0, 186.0]], ('CAMILE', 0.9570944309234619)], [[[170.0, 176.0], [177.0, 176.0], [177.0, 183.0], [170.0, 183.0]], ('1', 0.77960205078125)], [[[55.0, 190.0], [178.0, 188.0], [178.0, 199.0], [55.0, 201.0]], ('Kot1136874.11368931136900', 0.892193078994751)], [[[55.0, 206.0], [94.0, 206.0], [94.0, 216.0], [55.0, 216.0]], ('Item Nane', 0.7156243324279785)], [[[145.0, 206.0], [161.0, 206.0], [161.0, 213.0], [145.0, 213.0]], ('Kate', 0.7721076607704163)], [[[55.0, 220.0], [108.0, 220.0], [108.0, 231.0], [55.0, 231.0]], ('STELLA CIDER', 0.8888607621192932)], [[[129.0, 220.0], [165.0, 220.0], [165.0, 230.0], [129.0, 230.0]], ('742.00', 0.8390529155731201)], [[[181.0, 219.0], [204.0, 219.0], [204.0, 230.0], [181.0, 230.0]], ('294.0', 0.9831146001815796)], [[[56.0, 230.0], [80.0, 230.0], [80.0, 237.0], [56.0, 237.0]], ('PINET', 0.7081438302993774)], [[[57.0, 237.0], [80.0, 237.0], [80.0, 244.0], [57.0, 244.0]], ('ORASOE', 0.7971207499504089)], [[[80.0, 235.0], [108.0, 235.0], [108.0, 245.0], [80.0, 245.0]], ('JUICE', 0.8938906788825989)], [[[128.0, 234.0], [165.0, 234.0], [165.0, 245.0], [128.0, 245.0]], ('28.00', 0.9686824679374695)], [[[185.0, 233.0], [206.0, 233.0], [206.0, 245.0], [185.0, 245.0]], ('28.0', 0.9598411917686462)], [[[55.0, 243.0], [81.0, 243.0], [81.0, 254.0], [55.0, 254.0]], ('YRESH', 0.6398013830184937)], [[[55.0, 250.0], [104.0, 250.0], [104.0, 261.0], [55.0, 261.0]], ('SURFR', 0.6436247825622559)], [[[128.0, 249.0], [165.0, 249.0], [165.0, 259.0], [128.0, 259.0]], ('295.00', 0.975318431854248)], [[[128.0, 257.0], [165.0, 257.0], [165.0, 267.0], [128.0, 267.0]], ('170.00', 0.9247846603393555)], [[[183.0, 248.0], [206.0, 248.0], [206.0, 259.0], [183.0, 259.0]], ('190.0', 0.991795539855957)], [[[55.0, 259.0], [87.0, 257.0], [88.0, 268.0], [56.0, 270.0]], ('STANCES', 0.8538493514060974)], [[[56.0, 266.0], [85.0, 266.0], [85.0, 276.0], [56.0, 276.0]], ('BUROER', 0.8224380612373352)], [[[187.0, 258.0], [206.0, 258.0], [206.0, 266.0], [187.0, 266.0]], ('70.0', 0.941015362739563)], [[[55.0, 273.0], [96.0, 273.0], [96.0, 284.0], [55.0, 284.0]], ('DIET COKE', 0.884098470211029)], [[[129.0, 272.0], [166.0, 272.0], [166.0, 283.0], [129.0, 283.0]], ('22.00', 0.8226383328437805)], [[[187.0, 270.0], [209.0, 273.0], [207.0, 285.0], [185.0, 282.0]], ('22.9', 0.8448430299758911)], [[[55.0, 296.0], [95.0, 296.0], [95.0, 307.0], [55.0, 307.0]], ('Sub Total', 0.8506587147712708)], [[[55.0, 304.0], [94.0, 304.0], [94.0, 315.0], [55.0, 315.0]], ('Disooust', 0.8770330548286438)], [[[183.0, 295.0], [210.0, 298.0], [209.0, 308.0], [182.0, 305.0]], ('CO5.0', 0.5098825693130493)], [[[54.0, 312.0], [74.0, 312.0], [74.0, 323.0], [54.0, 323.0]], ('VAT', 0.9720261693000793)], [[[188.0, 304.0], [210.0, 304.0], [210.0, 315.0], [188.0, 315.0]], ('48.0', 0.9241906404495239)], [[[54.0, 321.0], [96.0, 321.0], [96.0, 331.0], [54.0, 331.0]], ('Round ofr', 0.8725990653038025)], [[[189.0, 312.0], [210.0, 312.0], [210.0, 323.0], [189.0, 323.0]], ('25.4', 0.955679178237915)], [[[192.0, 320.0], [210.0, 320.0], [210.0, 331.0], [192.0, 331.0]], ('0.0', 0.9731685519218445)], [[[54.0, 337.0], [107.0, 337.0], [107.0, 349.0], [54.0, 349.0]], ('B11 Amount', 0.7222250699996948)], [[[171.0, 336.0], [202.0, 336.0], [202.0, 348.0], [171.0, 348.0]], ('581.50', 0.9854827523231506)], [[[53.0, 354.0], [195.0, 350.0], [195.0, 364.0], [54.0, 367.0]], ('Asoant p Words D Fre Man', 0.6458024382591248)], [[[51.0, 364.0], [174.0, 360.0], [174.0, 374.0], [52.0, 377.0]], ('Eigty ca Firty Ony', 0.7769672870635986)], [[[52.0, 398.0], [130.0, 396.0], [131.0, 407.0], [53.0, 409.0]], ('Cashier: CAMLE', 0.749659538269043)], [[[93.0, 426.0], [146.0, 426.0], [146.0, 436.0], [93.0, 436.0]], ('CIPALETY FEES', 0.7919446229934692)]]	{"store_name": "THESTABLESBAR&RODBODRI STABLESBAR", "store_addr": "", "telephone": "", "date": "08/06/18", "time": "", "subtotal": "604.0", "tax": "", "total": "581.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PINT", "item_value": "294.0", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "28.0", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "190.0", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "70.0", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "22.0", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[104.0, 11.0], [183.0, 14.0], [182.0, 28.0], [103.0, 25.0]], ('21C1ub', 0.9233078956604004)], [[[91.0, 25.0], [199.0, 27.0], [199.0, 41.0], [91.0, 39.0]], ('21 West 52nd Street', 0.9575327634811401)], [[[76.0, 38.0], [215.0, 41.0], [214.0, 55.0], [76.0, 52.0]], ('New York New York 10019', 0.9324578046798706)], [[[108.0, 52.0], [188.0, 54.0], [187.0, 68.0], [107.0, 66.0]], ('212582-7200', 0.993153989315033)], [[[37.0, 102.0], [84.0, 105.0], [83.0, 120.0], [36.0, 117.0]], ('Tb110/1', 0.950567364692688)], [[[121.0, 104.0], [170.0, 107.0], [169.0, 122.0], [121.0, 119.0]], ('Chk 5055', 0.9339596629142761)], [[[219.0, 107.0], [259.0, 110.0], [258.0, 125.0], [218.0, 122.0]], ('Gst 2', 0.8947480320930481)], [[[100.0, 118.0], [191.0, 122.0], [190.0, 136.0], [100.0, 132.0]], ('May101208:33P', 0.9567298889160156)], [[[46.0, 143.0], [148.0, 147.0], [148.0, 161.0], [46.0, 158.0]], ('121Caesar Salad', 0.9615079760551453)], [[[46.0, 156.0], [111.0, 160.0], [110.0, 175.0], [46.0, 172.0]], ('1 Peeky Toe', 0.9081994891166687)], [[[208.0, 148.0], [241.0, 148.0], [241.0, 163.0], [208.0, 163.0]], ('18.00', 0.9895118474960327)], [[[44.0, 169.0], [125.0, 174.0], [124.0, 188.0], [43.0, 184.0]], ('2Ch Petrus 82', 0.9582682251930237)], [[[207.0, 161.0], [240.0, 161.0], [240.0, 176.0], [207.0, 176.0]], ('21.00', 0.9927265048027039)], [[[193.0, 175.0], [240.0, 175.0], [240.0, 189.0], [193.0, 189.0]], ('16640.00', 0.9898073077201843)], [[[45.0, 185.0], [82.0, 185.0], [82.0, 199.0], [45.0, 199.0]], ('2F1j1', 0.8045393824577332)], [[[45.0, 194.0], [99.0, 199.0], [98.0, 214.0], [43.0, 210.0]], ('1 Coffee', 0.9272580742835999)], [[[208.0, 189.0], [240.0, 189.0], [240.0, 203.0], [208.0, 203.0]], ('18.50', 0.9907941818237305)], [[[44.0, 210.0], [113.0, 212.0], [112.0, 227.0], [44.0, 225.0]], ('1 DOVER SOLE', 0.9157178401947021)], [[[211.0, 201.0], [239.0, 201.0], [239.0, 216.0], [211.0, 216.0]], ('5.00', 0.9948492646217346)], [[[206.0, 214.0], [239.0, 216.0], [238.0, 230.0], [205.0, 228.0]], ('65.00', 0.9817749261856079)], [[[44.0, 224.0], [145.0, 227.0], [144.0, 241.0], [44.0, 238.0]], ('1 Stee lhead Salmon', 0.8876928091049194)], [[[206.0, 227.0], [239.0, 229.0], [238.0, 244.0], [205.0, 242.0]], ('39.00', 0.9949221611022949)], [[[43.0, 237.0], [107.0, 239.0], [107.0, 253.0], [43.0, 251.0]], ('1MUSHROOMS', 0.983971893787384)], [[[206.0, 240.0], [239.0, 242.0], [238.0, 258.0], [205.0, 255.0]], ('14.00', 0.9918220639228821)], [[[43.0, 250.0], [112.0, 253.0], [111.0, 267.0], [42.0, 264.0]], ('1Choc Torte', 0.9588840007781982)], [[[42.0, 263.0], [123.0, 266.0], [123.0, 280.0], [41.0, 277.0]], ('1 Frsh Berries', 0.9251621961593628)], [[[206.0, 255.0], [238.0, 255.0], [238.0, 270.0], [206.0, 270.0]], ('10.50', 0.9880896806716919)], [[[42.0, 276.0], [122.0, 279.0], [121.0, 294.0], [41.0, 290.0]], ('2 COMP COOKIES', 0.9201784133911133)], [[[206.0, 268.0], [238.0, 268.0], [238.0, 283.0], [206.0, 283.0]], ('10.50', 0.9930861592292786)], [[[207.0, 280.0], [237.0, 283.0], [235.0, 297.0], [206.0, 294.0]], ('0.00', 0.9920167326927185)], [[[55.0, 293.0], [110.0, 293.0], [110.0, 304.0], [55.0, 304.0]], ('gratuities', 0.9949899911880493)], [[[200.0, 293.0], [237.0, 296.0], [236.0, 311.0], [199.0, 308.0]], ('400.00', 0.9907041192054749)], [[[51.0, 320.0], [80.0, 320.0], [80.0, 333.0], [51.0, 333.0]], ('visa', 0.9336087107658386)], [[[189.0, 321.0], [235.0, 321.0], [235.0, 336.0], [189.0, 336.0]], ('18736.18', 0.9881856441497803)], [[[52.0, 342.0], [80.0, 345.0], [78.0, 361.0], [51.0, 358.0]], ('FOOD', 0.9723687171936035)], [[[51.0, 356.0], [79.0, 359.0], [77.0, 374.0], [49.0, 371.0]], ('WINE', 0.9969425797462463)], [[[198.0, 348.0], [235.0, 348.0], [235.0, 363.0], [198.0, 363.0]], ('201.50', 0.9930980801582336)], [[[52.0, 369.0], [75.0, 372.0], [72.0, 387.0], [49.0, 384.0]], ('Tax', 0.990777313709259)], [[[189.0, 362.0], [234.0, 362.0], [234.0, 376.0], [189.0, 376.0]], ('16640.00', 0.9817339181900024)], [[[51.0, 383.0], [98.0, 386.0], [97.0, 400.0], [50.0, 398.0]], ('gratuity', 0.9928944110870361)], [[[192.0, 375.0], [234.0, 375.0], [234.0, 390.0], [192.0, 390.0]], ('1494.68', 0.9625939726829529)], [[[198.0, 386.0], [234.0, 389.0], [233.0, 404.0], [197.0, 401.0]], ('400.00', 0.9949498772621155)], [[[84.0, 398.0], [186.0, 401.0], [185.0, 414.0], [83.0, 411.0]], ('-107 Check Closed', 0.8929523229598999)], [[[93.0, 411.0], [186.0, 414.0], [185.0, 428.0], [93.0, 425.0]], ('May1012 10:06PM', 0.9086526036262512)]]	{"store_name": "21Club", "store_addr": "21West52ndStreet NowYork,NowYork10019", "telephone": "(212)582-7200", "date": "May10'12 May10'12", "time": "10:06PM", "subtotal": "16640.00", "tax": "1494,68", "total": "18736.18", "ignore": "", "tips": "400.00 400.00", "line_items": [{"item_key": "", "item_name": "'21'CaesarSalad", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PeekyToe", "item_value": "21.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChPetrus82", "item_value": "16640.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Fiji", "item_value": "18.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Coffee", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DOVERSOLE", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SteelheadSalmon", "item_value": "39.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MUSHROOMS", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocTorte", "item_value": "10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "FrshBerries", "item_value": "10.50", "item_quantity": "1"}, {"item_key": "", "item_name": "COMPCOCKTES", "item_value": "0.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[95.0, 11.0], [322.0, 0.0], [323.0, 20.0], [96.0, 32.0]], ('COLUMBUS RESTAURANT', 0.9668545722961426)], [[[144.0, 31.0], [268.0, 27.0], [268.0, 47.0], [145.0, 51.0]], ('736 OCEAN DRIVE', 0.9314236044883728)], [[[122.0, 54.0], [292.0, 48.0], [293.0, 68.0], [123.0, 75.0]], ('MIAMI BEACHFL33139', 0.9715867638587952)], [[[138.0, 76.0], [277.0, 71.0], [277.0, 91.0], [139.0, 96.0]], ('TEL786-275-6944', 0.9666411280632019)], [[[52.0, 114.0], [112.0, 111.0], [113.0, 136.0], [53.0, 139.0]], ('TABLE', 0.9969722628593445)], [[[167.0, 109.0], [197.0, 109.0], [197.0, 135.0], [167.0, 135.0]], ('94', 0.9968825578689575)], [[[73.0, 137.0], [139.0, 134.0], [140.0, 155.0], [74.0, 158.0]], ('4 GUESTS', 0.926567792892456)], [[[167.0, 137.0], [231.0, 137.0], [231.0, 155.0], [167.0, 155.0]], ('Agustina', 0.9969284534454346)], [[[86.0, 186.0], [208.0, 183.0], [208.0, 201.0], [87.0, 204.0]], ('2 FB LIME MOJITO', 0.8887096643447876)], [[[258.0, 182.0], [300.0, 179.0], [301.0, 198.0], [259.0, 200.0]], ('45.00', 0.9964893460273743)], [[[319.0, 179.0], [377.0, 178.0], [378.0, 197.0], [320.0, 198.0]], ('90.001', 0.9937257170677185)], [[[88.0, 205.0], [187.0, 202.0], [188.0, 220.0], [89.0, 223.0]], ('2 LARGE DRAFT', 0.9318262338638306)], [[[258.0, 201.0], [300.0, 199.0], [301.0, 218.0], [259.0, 220.0]], ('35.00', 0.9957858324050903)], [[[318.0, 198.0], [379.0, 198.0], [379.0, 219.0], [318.0, 219.0]], ('70.001', 0.9934101700782776)], [[[63.0, 225.0], [222.0, 220.0], [222.0, 237.0], [64.0, 242.0]], ('TAX and SERUICE Det ail', 0.8949404358863831)], [[[146.0, 254.0], [227.0, 253.0], [227.0, 271.0], [146.0, 272.0]], ('TF ARTICLES', 0.9377111196517944)], [[[267.0, 254.0], [292.0, 254.0], [292.0, 271.0], [267.0, 271.0]], ('Tax', 0.9844596982002258)], [[[332.0, 253.0], [372.0, 253.0], [372.0, 272.0], [332.0, 272.0]], ('Total', 0.9904773831367493)], [[[67.0, 275.0], [156.0, 275.0], [156.0, 292.0], [67.0, 292.0]], ('SALES TAX 77.', 0.8898705840110779)], [[[182.0, 273.0], [227.0, 273.0], [227.0, 291.0], [182.0, 291.0]], ('160.00', 0.9945061206817627)], [[[260.0, 272.0], [299.0, 272.0], [299.0, 290.0], [260.0, 290.0]], ('11.20', 0.9935516119003296)], [[[326.0, 272.0], [375.0, 272.0], [375.0, 291.0], [326.0, 291.0]], ('171.20', 0.9948504567146301)], [[[65.0, 294.0], [155.0, 294.0], [155.0, 311.0], [65.0, 311.0]], ('RESORT TAX27.', 0.9336138963699341)], [[[340.0, 292.0], [377.0, 292.0], [377.0, 311.0], [340.0, 311.0]], ('3.20', 0.9957244396209717)], [[[64.0, 313.0], [140.0, 312.0], [141.0, 330.0], [64.0, 332.0]], ('SERUICE207.', 0.8989784717559814)], [[[334.0, 312.0], [378.0, 312.0], [378.0, 331.0], [334.0, 331.0]], ('32.00', 0.9952627420425415)], [[[65.0, 367.0], [170.0, 364.0], [171.0, 389.0], [66.0, 391.0]], ('TOTAL', 0.9981635212898254)], [[[240.0, 365.0], [368.0, 365.0], [368.0, 386.0], [240.0, 386.0]], ('206.40', 0.9957512021064758)], [[[63.0, 403.0], [267.0, 402.0], [267.0, 423.0], [63.0, 424.0]], ('SATURDAY 01-06-2018 12:33PM', 0.9436243772506714)], [[[63.0, 426.0], [229.0, 425.0], [229.0, 443.0], [63.0, 444.0]], ('Key 14-Waitr:14-HANDY', 0.9458975195884705)], [[[254.0, 423.0], [370.0, 422.0], [370.0, 440.0], [254.0, 441.0]], ('1-BILL 020009/1', 0.949881374835968)]]	{"store_name": "COLUMBUSRESTAURANT", "store_addr": "736OCEANDRIVE MIAMIBEACH,FL33139", "telephone": "", "date": "01-06-2018", "time": "12:33PM", "subtotal": "160.00", "tax": "11.20 3.20", "total": "206.40", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FBLIMEMOJITO", "item_value": "90.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LARGEDRAFT", "item_value": "70.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[114.0, 7.0], [201.0, 3.0], [202.0, 16.0], [115.0, 20.0]], ('Las Vegas.N69119', 0.8702807426452637)], [[[129.0, 27.0], [186.0, 23.0], [187.0, 37.0], [130.0, 41.0]], ('702-888-1616', 0.9034318327903748)], [[[134.0, 37.0], [179.0, 34.0], [180.0, 48.0], [135.0, 51.0]], ('Open247', 0.8461456298828125)], [[[54.0, 49.0], [120.0, 49.0], [120.0, 59.0], [54.0, 59.0]], ('Cashier. Hannan', 0.8695032596588135)], [[[52.0, 64.0], [101.0, 64.0], [101.0, 75.0], [52.0, 75.0]], ('Item Name', 0.9207888841629028)], [[[152.0, 63.0], [169.0, 66.0], [166.0, 78.0], [150.0, 75.0]], ('Qty', 0.9419450759887695)], [[[180.0, 63.0], [210.0, 63.0], [210.0, 73.0], [180.0, 73.0]], ('Price', 0.9636615514755249)], [[[209.0, 62.0], [254.0, 58.0], [254.0, 69.0], [210.0, 72.0]], ('Ext Price', 0.8705730438232422)], [[[53.0, 75.0], [98.0, 75.0], [98.0, 86.0], [53.0, 86.0]], ('Tre Repair', 0.8356960415840149)], [[[220.0, 71.0], [254.0, 67.0], [255.0, 78.0], [221.0, 81.0]], ('$15.00', 0.976736307144165)], [[[178.0, 84.0], [216.0, 84.0], [216.0, 95.0], [178.0, 95.0]], ('Subtotal', 0.97571861743927)], [[[234.0, 79.0], [265.0, 77.0], [266.0, 89.0], [235.0, 91.0]], ('$15.00', 0.9039511680603027)], [[[78.0, 95.0], [143.0, 96.0], [143.0, 107.0], [78.0, 106.0]], ('Local Sales Tax', 0.9271778464317322)], [[[177.0, 94.0], [217.0, 92.0], [218.0, 106.0], [178.0, 108.0]], ('0%Tax', 0.8761943578720093)], [[[232.0, 90.0], [266.0, 88.0], [267.0, 101.0], [233.0, 103.0]], ('$000', 0.9449619054794312)], [[[139.0, 107.0], [216.0, 104.0], [217.0, 116.0], [140.0, 120.0]], ('RECEIPT TOTAL:', 0.9246006011962891)], [[[235.0, 102.0], [267.0, 102.0], [267.0, 113.0], [235.0, 113.0]], ('$15.00', 0.9956059455871582)], [[[95.0, 126.0], [150.0, 126.0], [150.0, 136.0], [95.0, 136.0]], ('Cash$15.00', 0.9414061307907104)], [[[96.0, 167.0], [220.0, 166.0], [221.0, 180.0], [96.0, 181.0]], ('THANK YOUCOME AGAIN', 0.9359446167945862)], [[[71.0, 190.0], [245.0, 187.0], [245.0, 200.0], [71.0, 203.0]], ('Warranty in new parts and new tires under', 0.9257830381393433)], [[[104.0, 200.0], [211.0, 198.0], [212.0, 210.0], [104.0, 213.0]], ("manufacture's.conditions.", 0.9369582533836365)], [[[59.0, 221.0], [259.0, 216.0], [259.0, 229.0], [59.0, 233.0]], ('NOWARRANTY ON USED TIRES AND PARTS', 0.9294376373291016)], [[[89.0, 231.0], [225.0, 229.0], [225.0, 240.0], [89.0, 242.0]], ('ALL USEDITEMS SOLD ASIS', 0.9170575141906738)], [[[123.0, 285.0], [192.0, 286.0], [192.0, 297.0], [123.0, 296.0]], ('Customer Name', 0.9430930614471436)]]	{"store_name": "", "store_addr": "", "telephone": "702-895-7979 702-888-1616", "date": "", "time": "", "subtotal": "$15.00", "tax": "$0.00", "total": "$15.00", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[95.0, 40.0], [178.0, 48.0], [177.0, 62.0], [94.0, 54.0]], ('Madrona Chevron', 0.9698717594146729)], [[[85.0, 53.0], [187.0, 63.0], [186.0, 77.0], [84.0, 67.0]], ('3405 Sepulveda Blvd', 0.9079838991165161)], [[[89.0, 67.0], [181.0, 76.0], [180.0, 89.0], [88.0, 81.0]], ('Torrance CA 90505', 0.943921685218811)], [[[90.0, 80.0], [175.0, 88.0], [174.0, 102.0], [89.0, 93.0]], ('Tel:310-373-9736', 0.944831132888794)], [[[24.0, 99.0], [112.0, 108.0], [111.0, 123.0], [22.0, 114.0]], ('Madronna Chevron', 0.9734042882919312)], [[[24.0, 113.0], [101.0, 121.0], [100.0, 134.0], [22.0, 126.0]], ('3405 Sepulveda', 0.9340757131576538)], [[[23.0, 125.0], [86.0, 132.0], [84.0, 146.0], [21.0, 139.0]], ('Torrance CA', 0.959790825843811)], [[[21.0, 138.0], [68.0, 141.0], [68.0, 154.0], [21.0, 152.0]], ('00090234', 0.9910175800323486)], [[[27.0, 181.0], [222.0, 188.0], [221.0, 205.0], [26.0, 198.0]], ('Register1Trans 3460 0p ID21', 0.9051526188850403)], [[[66.0, 173.0], [183.0, 178.0], [182.0, 192.0], [65.0, 187.0]], ('1/09/20161:33:17PM', 0.9037633538246155)], [[[55.0, 196.0], [188.0, 201.0], [187.0, 215.0], [54.0, 209.0]], ('Your Cashier: CASHIER G', 0.8821398615837097)], [[[6.0, 221.0], [149.0, 221.0], [149.0, 238.0], [6.0, 238.0]], ('CAR WSH SR NTEach 9253', 0.9215641021728516)], [[[180.0, 226.0], [245.0, 223.0], [245.0, 238.0], [180.0, 240.0]], ('$20.9999', 0.9890103340148926)], [[[101.0, 248.0], [167.0, 251.0], [167.0, 265.0], [101.0, 262.0]], ('Subtotal=', 0.9684482216835022)], [[[179.0, 251.0], [219.0, 251.0], [219.0, 265.0], [179.0, 265.0]], ('$20.99', 0.9972135424613953)], [[[124.0, 265.0], [167.0, 265.0], [167.0, 279.0], [124.0, 279.0]], ('Tax=', 0.9724371433258057)], [[[184.0, 265.0], [219.0, 265.0], [219.0, 279.0], [184.0, 279.0]], ('000$', 0.9390537738800049)], [[[118.0, 292.0], [164.0, 292.0], [164.0, 305.0], [118.0, 305.0]], ('Total=', 0.9795274138450623)], [[[178.0, 293.0], [220.0, 290.0], [221.0, 304.0], [178.0, 307.0]], ('$20.99', 0.9884025454521179)], [[[87.0, 317.0], [154.0, 317.0], [154.0, 328.0], [87.0, 328.0]], ('Change Due', 0.9537943601608276)], [[[189.0, 316.0], [221.0, 316.0], [221.0, 327.0], [189.0, 327.0]], ('$0.00', 0.9971973299980164)], [[[187.0, 341.0], [220.0, 341.0], [220.0, 347.0], [187.0, 347.0]], ('12000', 0.7581868171691895)]]	{"store_name": "MadronaChevron MadronnaChevron", "store_addr": "3405SepulvedaBlvd TorranceCA90505 3405Sepulveda TorranceCA", "telephone": "310-373-9736", "date": "11/09/2016", "time": "1:33:17PM", "subtotal": "$20.99", "tax": "$0.00", "total": "$20.99", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CARWSHSRNT,Each(9253)", "item_value": "$20.9999", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[82.0, 64.0], [177.0, 72.0], [176.0, 85.0], [81.0, 77.0]], ('102 SAN KARCO AVE', 0.8821099400520325)], [[[63.0, 74.0], [198.0, 85.0], [196.0, 100.0], [61.0, 89.0]], ('SAINT AUGUSTINEFL.32084', 0.9483329653739929)], [[[61.0, 88.0], [198.0, 99.0], [196.0, 113.0], [60.0, 102.0]], ('www.raintreerestaurant.com', 0.9672228693962097)], [[[96.0, 102.0], [161.0, 108.0], [159.0, 122.0], [95.0, 116.0]], ('904-824-7211', 0.9869866371154785)], [[[29.0, 122.0], [100.0, 128.0], [99.0, 142.0], [27.0, 136.0]], ('20003 Henry C', 0.9517858028411865)], [[[22.0, 147.0], [67.0, 151.0], [66.0, 165.0], [21.0, 161.0]], ('Tb160/1', 0.969337522983551)], [[[103.0, 152.0], [148.0, 157.0], [147.0, 172.0], [101.0, 167.0]], ('CHA', 0.718959629535675)], [[[82.0, 165.0], [168.0, 172.0], [167.0, 186.0], [81.0, 179.0]], ('Nov181707:38PH', 0.8641709089279175)], [[[193.0, 159.0], [231.0, 162.0], [230.0, 177.0], [192.0, 174.0]], ('Gst 2', 0.8644410967826843)], [[[31.0, 186.0], [90.0, 191.0], [89.0, 205.0], [29.0, 201.0]], ('160Z FILET', 0.9297001957893372)], [[[29.0, 197.0], [65.0, 203.0], [63.0, 217.0], [27.0, 211.0]], ('1MAHI', 0.9436553120613098)], [[[182.0, 197.0], [213.0, 199.0], [212.0, 214.0], [180.0, 212.0]], ('26.00', 0.9904235601425171)], [[[29.0, 211.0], [114.0, 218.0], [113.0, 232.0], [27.0, 225.0]], ('1 SUB CUP BISQUE', 0.912386417388916)], [[[180.0, 210.0], [212.0, 212.0], [211.0, 226.0], [178.0, 224.0]], ('26.00', 0.9836418032646179)], [[[28.0, 224.0], [94.0, 229.0], [93.0, 243.0], [26.0, 238.0]], ('1 CUP BISQUE', 0.8869118690490723)], [[[184.0, 223.0], [211.0, 226.0], [209.0, 240.0], [182.0, 238.0]], ('3.00', 0.9914975166320801)], [[[25.0, 237.0], [117.0, 243.0], [116.0, 257.0], [24.0, 251.0]], ('1 SUB HOUSE SALAD', 0.9152865409851074)], [[[184.0, 235.0], [209.0, 237.0], [207.0, 252.0], [182.0, 250.0]], ('5.00', 0.9951179027557373)], [[[25.0, 250.0], [107.0, 257.0], [106.0, 270.0], [24.0, 263.0]], ('1 REESES COOKIE', 0.9153451323509216)], [[[183.0, 247.0], [209.0, 250.0], [207.0, 265.0], [181.0, 262.0]], ('2.00', 0.9949843883514404)], [[[24.0, 262.0], [117.0, 270.0], [115.0, 284.0], [23.0, 276.0]], ('2 GL PINOT GRIGIO', 0.9007132649421692)], [[[183.0, 261.0], [208.0, 265.0], [206.0, 277.0], [181.0, 273.0]], ('7.00', 0.9914390444755554)], [[[24.0, 276.0], [106.0, 282.0], [105.0, 295.0], [23.0, 289.0]], ('1RAINTREE RUBY', 0.9433534741401672)], [[[177.0, 273.0], [207.0, 276.0], [206.0, 290.0], [175.0, 287.0]], ('16.00', 0.9947273135185242)], [[[24.0, 288.0], [114.0, 295.0], [113.0, 308.0], [23.0, 301.0]], ('1 NUTTY IRISH ICE', 0.8746321201324463)], [[[177.0, 286.0], [207.0, 289.0], [206.0, 303.0], [175.0, 300.0]], ('10.00', 0.994357705116272)], [[[180.0, 301.0], [204.0, 301.0], [204.0, 313.0], [180.0, 313.0]], ('9.00', 0.9958488941192627)], [[[32.0, 313.0], [77.0, 317.0], [76.0, 331.0], [30.0, 327.0]], ('Subtotal', 0.9868256449699402)], [[[32.0, 327.0], [54.0, 327.0], [54.0, 340.0], [32.0, 340.0]], ('Tax', 0.9879801869392395)], [[[168.0, 323.0], [205.0, 326.0], [204.0, 340.0], [167.0, 337.0]], ('104.00', 0.9923487305641174)], [[[31.0, 337.0], [77.0, 342.0], [75.0, 356.0], [29.0, 351.0]], ('Gratuity', 0.993994951248169)], [[[5.0, 348.0], [80.0, 355.0], [78.0, 369.0], [4.0, 362.0]], ('09:19PM Total', 0.8553222417831421)], [[[174.0, 348.0], [203.0, 351.0], [201.0, 365.0], [172.0, 362.0]], ('15.60', 0.9917917251586914)], [[[177.0, 339.0], [203.0, 339.0], [203.0, 351.0], [177.0, 351.0]], ('6.77', 0.992791473865509)], [[[139.0, 358.0], [200.0, 364.0], [198.0, 378.0], [137.0, 372.0]], ('126.37', 0.996527910232544)], [[[32.0, 375.0], [152.0, 385.0], [151.0, 399.0], [30.0, 389.0]], ('15% GRATUITY', 0.956423819065094)], [[[28.0, 388.0], [150.0, 398.0], [149.0, 411.0], [27.0, 401.0]], ('IS INCLUDED', 0.9536932110786438)], [[[29.0, 400.0], [182.0, 413.0], [181.0, 427.0], [27.0, 414.0]], ('17% ON SEPARATE', 0.9089128971099854)], [[[27.0, 412.0], [98.0, 419.0], [97.0, 433.0], [25.0, 426.0]], ('CHECKS.', 0.9934935569763184)]]	{"store_name": "Raintree", "store_addr": "102SANMARCOAVE. SAINTAUGUSTINE,FL.32084", "telephone": "904-824-7211", "date": "Nov18'17", "time": "07:38PM", "subtotal": "104.00", "tax": "6.77", "total": "126.37", "ignore": "", "tips": "15.60", "line_items": [{"item_key": "", "item_name": "6OZFILET", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MAHI", "item_value": "26.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SUBCUPBISQUE", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CUPBISQUE", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SUBHOUSESALAD", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "REESESCOOKIE", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLPINOTGRIGIO", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RAINTREERUBY", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NUTTYIRISHICE", "item_value": "9.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[73.0, 72.0], [275.0, 72.0], [275.0, 114.0], [73.0, 114.0]], ('Walmart', 0.9938145279884338)], [[[74.0, 116.0], [279.0, 118.0], [278.0, 136.0], [74.0, 134.0]], ('Save money.Live better.', 0.9747782945632935)], [[[71.0, 224.0], [268.0, 225.0], [268.0, 239.0], [71.0, 238.0]], ('GV A/P FL0UR 007874237006F', 0.9250354170799255)], [[[302.0, 225.0], [347.0, 225.0], [347.0, 240.0], [302.0, 240.0]], ('1.980', 0.9047983884811401)], [[[72.0, 239.0], [148.0, 239.0], [148.0, 253.0], [72.0, 253.0]], ('ENG BRKFST', 0.9465551376342773)], [[[166.0, 240.0], [269.0, 240.0], [269.0, 254.0], [166.0, 254.0]], ('074239210030F', 0.9954267740249634)], [[[302.0, 239.0], [348.0, 239.0], [348.0, 254.0], [302.0, 254.0]], ('0.980', 0.9946296811103821)], [[[72.0, 252.0], [155.0, 253.0], [155.0, 267.0], [72.0, 266.0]], ('BAKING SODA', 0.9779719710350037)], [[[166.0, 253.0], [269.0, 254.0], [269.0, 268.0], [166.0, 267.0]], ('003320001130F', 0.9958695769309998)], [[[301.0, 253.0], [348.0, 251.0], [348.0, 266.0], [302.0, 268.0]], ('0.50N', 0.9618017077445984)], [[[72.0, 267.0], [146.0, 267.0], [146.0, 281.0], [72.0, 281.0]], ('GU LENTILS', 0.9444670677185059)], [[[168.0, 268.0], [269.0, 268.0], [269.0, 281.0], [168.0, 281.0]], ('007874237137F', 0.9947184920310974)], [[[302.0, 267.0], [349.0, 265.0], [349.0, 280.0], [303.0, 282.0]], ('0.980', 0.9929210543632507)], [[[74.0, 282.0], [145.0, 282.0], [145.0, 293.0], [74.0, 293.0]], ('CANOLA OIL', 0.959851861000061)], [[[168.0, 281.0], [269.0, 281.0], [269.0, 295.0], [168.0, 295.0]], ('018043000013F', 0.9905842542648315)], [[[303.0, 281.0], [350.0, 281.0], [350.0, 295.0], [303.0, 295.0]], ('1.280', 0.9947069883346558)], [[[72.0, 294.0], [119.0, 294.0], [119.0, 309.0], [72.0, 309.0]], ('LG 1DZ', 0.848277747631073)], [[[168.0, 294.0], [268.0, 294.0], [268.0, 308.0], [168.0, 308.0]], ('001520411311F', 0.984070897102356)], [[[304.0, 295.0], [350.0, 295.0], [350.0, 309.0], [304.0, 309.0]], ('1.180', 0.9941232800483704)], [[[204.0, 309.0], [262.0, 309.0], [262.0, 323.0], [204.0, 323.0]], ('SUBTOTAL', 0.9966332912445068)], [[[303.0, 309.0], [334.0, 307.0], [335.0, 322.0], [304.0, 324.0]], ('6.90', 0.9976800680160522)], [[[225.0, 321.0], [264.0, 323.0], [262.0, 338.0], [224.0, 336.0]], ('TOTAL', 0.9980506896972656)], [[[303.0, 323.0], [335.0, 321.0], [336.0, 337.0], [304.0, 339.0]], ('6.90', 0.8761064410209656)], [[[188.0, 334.0], [264.0, 336.0], [264.0, 353.0], [187.0, 351.0]], ('CASH TEND', 0.9476414918899536)], [[[304.0, 337.0], [336.0, 337.0], [336.0, 352.0], [304.0, 352.0]], ('7.00', 0.998977780342102)], [[[190.0, 352.0], [263.0, 352.0], [263.0, 366.0], [190.0, 366.0]], ('CHANGE DUE', 0.9551588296890259)], [[[304.0, 351.0], [337.0, 351.0], [337.0, 366.0], [304.0, 366.0]], ('0.10', 0.9982806444168091)], [[[101.0, 380.0], [306.0, 380.0], [306.0, 404.0], [101.0, 404.0]], ('#ITEMS SOLD 6', 0.9098184108734131)], [[[78.0, 475.0], [347.0, 474.0], [347.0, 491.0], [78.0, 492.0]], ('Neu! Place your order at Walnart.con', 0.9121004939079285)], [[[92.0, 492.0], [331.0, 490.0], [331.0, 504.0], [92.0, 506.0]], ('and pay uith cash at your store.', 0.9421762228012085)], [[[131.0, 506.0], [194.0, 506.0], [194.0, 520.0], [131.0, 520.0]], ('05/07/12', 0.9981637001037598)], [[[226.0, 505.0], [289.0, 505.0], [289.0, 519.0], [226.0, 519.0]], ('20:42:39', 0.9379400014877319)]]	{"store_name": "Walmart", "store_addr": "", "telephone": "", "date": "05/07/12", "time": "20:42:39", "subtotal": "6.90", "tax": "", "total": "6.90", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GVA/PFLOUR", "item_value": "1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "ENGBRKFST", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "BAKINGSODA", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "GVLENTILS", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "CANOLAOIL", "item_value": "1.28", "item_quantity": "1"}, {"item_key": "", "item_name": "LG1DZ", "item_value": "1.18", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[273.0, 153.0], [410.0, 153.0], [410.0, 181.0], [273.0, 181.0]], ("BU'S IRVINE", 0.8924041390419006)], [[[262.0, 185.0], [420.0, 185.0], [420.0, 210.0], [262.0, 210.0]], ('LOCATION#421', 0.9542855620384216)], [[[134.0, 212.0], [226.0, 215.0], [225.0, 241.0], [133.0, 238.0]], ('280b', 0.9887043237686157)], [[[250.0, 218.0], [490.0, 218.0], [490.0, 240.0], [250.0, 240.0]], ('TABLE 857 =Party O', 0.8323399424552917)], [[[121.0, 242.0], [208.0, 242.0], [208.0, 271.0], [121.0, 271.0]], ('AVIER A', 0.8791516423225403)], [[[247.0, 245.0], [555.0, 242.0], [555.0, 270.0], [247.0, 273.0]], ('SvrCk145:24p12/07/15', 0.973885178565979)], [[[142.0, 331.0], [480.0, 336.0], [479.0, 359.0], [142.0, 355.0]], ('Next time,save tire and use', 0.9070942401885986)], [[[156.0, 360.0], [455.0, 365.0], [455.0, 387.0], [155.0, 382.0]], ('the Mobile Pay feature on', 0.9262416362762451)], [[[166.0, 389.0], [454.0, 394.0], [454.0, 415.0], [166.0, 410.0]], ('our App! Ask your server', 0.9240054488182068)], [[[227.0, 415.0], [370.0, 418.0], [369.0, 443.0], [227.0, 441.0]], ('for details.', 0.9577484726905823)], [[[105.0, 472.0], [206.0, 472.0], [206.0, 497.0], [105.0, 497.0]], ('PINT RED', 0.9479072093963623)], [[[534.0, 472.0], [590.0, 477.0], [588.0, 505.0], [532.0, 500.0]], ('6.25', 0.99446040391922)], [[[107.0, 501.0], [346.0, 502.0], [346.0, 524.0], [106.0, 523.0]], ('HH $1 OFF DRAFT BEER', 0.9042085409164429)], [[[524.0, 501.0], [589.0, 505.0], [587.0, 532.0], [523.0, 528.0]], ('-1.00', 0.9870583415031433)], [[[109.0, 529.0], [264.0, 529.0], [264.0, 550.0], [109.0, 550.0]], ('CHICKEN WINGS', 0.9707621335983276)], [[[524.0, 528.0], [588.0, 532.0], [586.0, 559.0], [523.0, 555.0]], ('11.25', 0.9922012090682983)], [[[108.0, 555.0], [344.0, 555.0], [344.0, 577.0], [108.0, 577.0]], ('HH $2 0FF APPETIZERS', 0.9046241044998169)], [[[524.0, 555.0], [587.0, 558.0], [586.0, 585.0], [523.0, 582.0]], ('-2.00', 0.9841974377632141)], [[[108.0, 583.0], [215.0, 583.0], [215.0, 604.0], [108.0, 604.0]], ('BUD LIGHT', 0.9475429058074951)], [[[533.0, 580.0], [588.0, 583.0], [587.0, 610.0], [531.0, 607.0]], ('4.50', 0.99363112449646)], [[[108.0, 610.0], [368.0, 610.0], [368.0, 631.0], [108.0, 631.0]], ('HH $1 OFF BOTTLED BEER', 0.8802295923233032)], [[[524.0, 609.0], [588.0, 609.0], [588.0, 635.0], [524.0, 635.0]], ('-1.00', 0.9828130006790161)], [[[344.0, 665.0], [465.0, 668.0], [464.0, 694.0], [344.0, 692.0]], ('Sub Total:', 0.9196488261222839)], [[[526.0, 669.0], [590.0, 669.0], [590.0, 696.0], [526.0, 696.0]], ('18.00', 0.996947169303894)], [[[97.0, 694.0], [154.0, 694.0], [154.0, 725.0], [97.0, 725.0]], ('(TAX', 0.9554738402366638)], [[[184.0, 692.0], [491.0, 696.0], [491.0, 725.0], [183.0, 721.0]], ('19.000thr-1.00 Tax', 0.9544177651405334)], [[[537.0, 698.0], [591.0, 698.0], [591.0, 725.0], [537.0, 725.0]], ('1.52', 0.9921936392784119)], [[[344.0, 723.0], [466.0, 726.0], [465.0, 751.0], [343.0, 748.0]], ('Sub Total:', 0.9261202812194824)], [[[528.0, 725.0], [593.0, 727.0], [591.0, 754.0], [527.0, 752.0]], ('19.52', 0.9942710995674133)], [[[98.0, 754.0], [167.0, 754.0], [167.0, 780.0], [98.0, 780.0]], ('12/07', 0.9980753064155579)], [[[178.0, 754.0], [387.0, 752.0], [387.0, 777.0], [178.0, 779.0]], ('5:52pTOTAL', 0.9291642308235168)], [[[470.0, 756.0], [590.0, 756.0], [590.0, 782.0], [470.0, 782.0]], ('19.52', 0.9954754114151001)], [[[95.0, 817.0], [318.0, 813.0], [319.0, 839.0], [95.0, 843.0]], ('Suggested Gratuity', 0.9851706027984619)], [[[181.0, 845.0], [235.0, 845.0], [235.0, 872.0], [181.0, 872.0]], ('15%', 0.9840019345283508)], [[[304.0, 843.0], [358.0, 843.0], [358.0, 871.0], [304.0, 871.0]], ('2.70', 0.9951238632202148)], [[[190.0, 874.0], [235.0, 874.0], [235.0, 903.0], [190.0, 903.0]], ('20%', 0.9991944432258606)], [[[304.0, 874.0], [358.0, 874.0], [358.0, 902.0], [304.0, 902.0]], ('3.60', 0.9902783632278442)], [[[140.0, 933.0], [531.0, 934.0], [530.0, 966.0], [140.0, 965.0]], ('Happy Hour available during al1', 0.9318877458572388)], [[[215.0, 965.0], [455.0, 962.0], [455.0, 992.0], [215.0, 994.0]], ('pro footbal1 games!', 0.9442231059074402)]]	{"store_name": "BJ'SIRVINE", "store_addr": "", "telephone": "", "date": "12/07/15 12/07", "time": "5:52p", "subtotal": "18.00", "tax": "1.52", "total": "19.52 19.52", "ignore": " ", "tips": "2.70 3.60", "line_items": [{"item_key": "", "item_name": "PINTRED", "item_value": "6.25", "item_quantity": "1"}, {"item_key": "", "item_name": "CHICKENWINGS", "item_value": "11.25", "item_quantity": "1"}, {"item_key": "", "item_name": "BUDLIGHT", "item_value": "4.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[121.0, 72.0], [178.0, 74.0], [178.0, 86.0], [120.0, 83.0]], ('Birminghan', 0.9023817181587219)], [[[114.0, 89.0], [178.0, 94.0], [177.0, 108.0], [113.0, 103.0]], ('TelNUMBER', 0.8879752159118652)], [[[120.0, 112.0], [221.0, 109.0], [221.0, 123.0], [120.0, 126.0]], ('Vat no 108 2534 36', 0.9224286675453186)], [[[90.0, 153.0], [142.0, 156.0], [141.0, 169.0], [90.0, 167.0]], ('Upstairs', 0.9614482522010803)], [[[213.0, 152.0], [247.0, 149.0], [248.0, 164.0], [214.0, 167.0]], ('0.00', 0.9590979218482971)], [[[107.0, 168.0], [161.0, 168.0], [161.0, 179.0], [107.0, 179.0]], ('40.00', 0.8869392275810242)], [[[88.0, 178.0], [161.0, 180.0], [161.0, 194.0], [88.0, 192.0]], ('Bacon Burger', 0.974293053150177)], [[[215.0, 176.0], [250.0, 173.0], [251.0, 189.0], [216.0, 191.0]], ('7.50', 0.9911805391311646)], [[[88.0, 191.0], [117.0, 191.0], [117.0, 205.0], [88.0, 205.0]], ('MAKE', 0.9973158836364746)], [[[182.0, 191.0], [240.0, 188.0], [241.0, 202.0], [182.0, 205.0]], ('NO ONIONS', 0.9410269856452942)], [[[86.0, 203.0], [134.0, 206.0], [133.0, 220.0], [85.0, 217.0]], ('Lapsang', 0.9945815801620483)], [[[218.0, 202.0], [254.0, 202.0], [254.0, 216.0], [218.0, 216.0]], ('1.90', 0.993904709815979)], [[[86.0, 229.0], [137.0, 231.0], [136.0, 246.0], [85.0, 244.0]], ('Subtotal', 0.995742917060852)], [[[221.0, 228.0], [256.0, 228.0], [256.0, 242.0], [221.0, 242.0]], ('9.40', 0.9857332706451416)], [[[84.0, 243.0], [127.0, 245.0], [126.0, 259.0], [83.0, 257.0]], ('EI VAT', 0.9324536919593811)], [[[222.0, 242.0], [257.0, 242.0], [257.0, 257.0], [222.0, 257.0]], ('1.57', 0.9883785247802734)], [[[84.0, 259.0], [118.0, 259.0], [118.0, 274.0], [84.0, 274.0]], ('Total', 0.9959882497787476)], [[[223.0, 257.0], [259.0, 257.0], [259.0, 272.0], [223.0, 272.0]], ('9.40', 0.994010329246521)], [[[26.0, 336.0], [96.0, 339.0], [95.0, 357.0], [26.0, 354.0]], ('Thank You', 0.968481183052063)], [[[26.0, 357.0], [150.0, 357.0], [150.0, 374.0], [26.0, 374.0]], ('Ti11:Birmingham1', 0.9088966846466064)], [[[24.0, 376.0], [165.0, 376.0], [165.0, 393.0], [24.0, 393.0]], ('14-FEB-20131:32PM', 0.9517374634742737)], [[[19.0, 393.0], [47.0, 396.0], [46.0, 415.0], [17.0, 412.0]], ('Joe', 0.9915559887886047)]]	{"store_name": "BostonTeaParty", "store_addr": "Birmingham", "telephone": "", "date": "14-FEB-2013", "time": "1:32PM", "subtotal": "\u00a39.40", "tax": "\u00a31.57", "total": "\u00a39.40", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Lapsang", "item_value": "\u00a30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BaconBurger", "item_value": "\u00a37.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Upstairs", "item_value": "\u00a31.90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[70.0, 97.0], [176.0, 97.0], [176.0, 115.0], [70.0, 115.0]], ('Corner Bakery Cafe 1608', 0.9246731400489807)], [[[98.0, 142.0], [155.0, 142.0], [155.0, 160.0], [98.0, 160.0]], ('Dine In26', 0.9681803584098816)], [[[23.0, 160.0], [89.0, 164.0], [88.0, 186.0], [22.0, 182.0]], ('8/23/20169492', 0.8151190876960754)], [[[189.0, 181.0], [211.0, 181.0], [211.0, 196.0], [189.0, 196.0]], ('4.99', 0.9852392673492432)], [[[190.0, 193.0], [214.0, 196.0], [212.0, 212.0], [188.0, 209.0]], ('2.29', 0.9808134436607361)], [[[96.0, 214.0], [140.0, 211.0], [141.0, 229.0], [98.0, 232.0]], ('SubTotal', 0.8626605868339539)], [[[191.0, 212.0], [216.0, 212.0], [216.0, 234.0], [191.0, 234.0]], ('6.39', 0.7599965929985046)], [[[99.0, 226.0], [119.0, 226.0], [119.0, 238.0], [99.0, 238.0]], ('Tax', 0.9815690517425537)], [[[94.0, 252.0], [166.0, 247.0], [167.0, 268.0], [96.0, 273.0]], ('WIN$2000', 0.9295299053192139)], [[[68.0, 310.0], [107.0, 310.0], [107.0, 320.0], [68.0, 320.0]], ('win our', 0.9269652366638184)], [[[84.0, 317.0], [181.0, 310.0], [182.0, 334.0], [85.0, 341.0]], ('Code16089492033', 0.9800773859024048)], [[[218.0, 347.0], [250.0, 347.0], [250.0, 377.0], [218.0, 377.0]], ('1.72', 0.8569019436836243)], [[[110.0, 365.0], [143.0, 362.0], [144.0, 381.0], [111.0, 384.0]], ('Total', 0.9891703724861145)], [[[112.0, 389.0], [142.0, 394.0], [138.0, 421.0], [108.0, 417.0]], ('Visa', 0.9797132015228271)], [[[220.0, 380.0], [253.0, 377.0], [256.0, 408.0], [223.0, 412.0]], ('1.72', 0.9200489521026611)], [[[116.0, 437.0], [189.0, 432.0], [190.0, 447.0], [117.0, 449.0]], ('XXXXXXXXX2844', 0.8476297855377197)]]	{"store_name": "CorrerBakeryCafe#1608", "store_addr": "", "telephone": "", "date": "5/23/2015", "time": "7:22:20AM", "subtotal": "7.28", "tax": "0.44", "total": "7.72 7.72", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BerryAlmondSwiss", "item_value": "4.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Ind,SweetCrisp", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateMuffin", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[107.0, 64.0], [829.0, 74.0], [827.0, 185.0], [105.0, 175.0]], ('BORDERS', 0.9971247911453247)], [[[315.0, 399.0], [595.0, 404.0], [594.0, 446.0], [314.0, 441.0]], ('BORDERS', 0.9966081976890564)], [[[157.0, 448.0], [752.0, 453.0], [752.0, 494.0], [157.0, 489.0]], ('BOOKS AND MUSIC', 0.9536489844322205)], [[[196.0, 499.0], [705.0, 504.0], [705.0, 543.0], [195.0, 538.0]], ('802 WEST TOWN CENTER BLVD', 0.9239112734794617)], [[[254.0, 547.0], [635.0, 550.0], [635.0, 596.0], [254.0, 593.0]], ('CHAMPAIGNIL 61821', 0.9634552001953125)], [[[330.0, 596.0], [579.0, 596.0], [579.0, 642.0], [330.0, 642.0]], ('217-351-9011', 0.9932846426963806)], [[[31.0, 693.0], [256.0, 693.0], [256.0, 739.0], [31.0, 739.0]], ('STORE:0182', 0.9602786898612976)], [[[333.0, 697.0], [795.0, 702.0], [795.0, 744.0], [332.0, 739.0]], ('REG03/52TRAN#1469', 0.9882506132125854)], [[[29.0, 741.0], [123.0, 741.0], [123.0, 792.0], [29.0, 792.0]], ('SALE', 0.99846351146698)], [[[330.0, 746.0], [797.0, 751.0], [797.0, 797.0], [330.0, 792.0]], ('01/07/2008EMP00730', 0.994832456111908)], [[[34.0, 845.0], [573.0, 850.0], [572.0, 889.0], [34.0, 884.0]], ('501 MUST VISIT DESTINATIONS', 0.9471417665481567)], [[[173.0, 896.0], [319.0, 896.0], [319.0, 938.0], [173.0, 938.0]], ('8230673', 0.9989963173866272)], [[[388.0, 896.0], [478.0, 896.0], [478.0, 940.0], [388.0, 940.0]], ('IRT', 0.99250727891922)], [[[667.0, 894.0], [761.0, 894.0], [761.0, 945.0], [667.0, 945.0]], ('9.99', 0.9948252439498901)], [[[292.0, 995.0], [454.0, 995.0], [454.0, 1037.0], [292.0, 1037.0]], ('Subtotal', 0.9913580417633057)], [[[667.0, 993.0], [759.0, 993.0], [759.0, 1046.0], [667.0, 1046.0]], ('9.99', 0.9965688586235046)], [[[30.0, 1041.0], [312.0, 1046.0], [312.0, 1088.0], [29.0, 1083.0]], ('BR8250999730', 0.9970440864562988)], [[[290.0, 1141.0], [456.0, 1141.0], [456.0, 1189.0], [290.0, 1189.0]], ('Subtotal', 0.9762345552444458)], [[[665.0, 1143.0], [759.0, 1143.0], [759.0, 1194.0], [665.0, 1194.0]], ('9.99', 0.9961994290351868)], [[[290.0, 1189.0], [573.0, 1189.0], [573.0, 1236.0], [290.0, 1236.0]], ('ILLINOIS 7.75%', 0.9405117630958557)], [[[692.0, 1196.0], [757.0, 1196.0], [757.0, 1242.0], [692.0, 1242.0]], ('.77', 0.9461011290550232)], [[[46.0, 1233.0], [198.0, 1238.0], [196.0, 1289.0], [44.0, 1283.0]], ('1Item', 0.9959564208984375)], [[[290.0, 1242.0], [393.0, 1242.0], [393.0, 1286.0], [290.0, 1286.0]], ('Total', 0.9972577095031738)], [[[651.0, 1239.0], [760.0, 1246.0], [757.0, 1296.0], [648.0, 1290.0]], ('10.76', 0.9921255111694336)], [[[290.0, 1293.0], [474.0, 1293.0], [474.0, 1335.0], [290.0, 1335.0]], ('GIFT CARD', 0.9498825073242188)], [[[651.0, 1288.0], [757.0, 1294.0], [755.0, 1345.0], [648.0, 1339.0]], ('10.00', 0.9837875366210938)], [[[32.0, 1339.0], [552.0, 1342.0], [552.0, 1383.0], [31.0, 1381.0]], ('ACCT#/SXXXXXXXXXXXX6509', 0.901968777179718)], [[[370.0, 1387.0], [474.0, 1393.0], [472.0, 1437.0], [367.0, 1431.0]], ('AUTH:', 0.9822679758071899)], [[[528.0, 1393.0], [653.0, 1393.0], [653.0, 1434.0], [528.0, 1434.0]], ('611018', 0.9984862804412842)], [[[31.0, 1441.0], [413.0, 1441.0], [413.0, 1480.0], [31.0, 1480.0]], ('ACCOUNT BALANCE:.00', 0.9469987750053406)], [[[285.0, 1487.0], [377.0, 1487.0], [377.0, 1538.0], [285.0, 1538.0]], ('VISA', 0.9983469247817993)], [[[687.0, 1490.0], [754.0, 1490.0], [754.0, 1538.0], [687.0, 1538.0]], ('.76', 0.8793196678161621)], [[[27.0, 1536.0], [184.0, 1536.0], [184.0, 1584.0], [27.0, 1584.0]], ('ACCT #', 0.922060489654541)], [[[364.0, 1587.0], [471.0, 1587.0], [471.0, 1637.0], [364.0, 1637.0]], ('AUTH:', 0.9801626205444336)], [[[27.0, 1637.0], [130.0, 1637.0], [130.0, 1681.0], [27.0, 1681.0]], ('NAME:', 0.9859870076179504)], [[[227.0, 1785.0], [590.0, 1785.0], [590.0, 1831.0], [227.0, 1831.0]], ('01/07/200809:48PM', 0.9761949181556702)], [[[86.0, 2083.0], [723.0, 2092.0], [723.0, 2139.0], [85.0, 2129.0]], ('Check our store inventory online', 0.9621793031692505)], [[[164.0, 2138.0], [647.0, 2146.0], [646.0, 2185.0], [164.0, 2178.0]], ('at www.bordersstores.com', 0.9809291958808899)]]	{"store_name": "BORDERS\u00ae BORDERS", "store_addr": "802WESTTOWNCENTERBLVD. CHAMPAIGM,IL61821", "telephone": "217-351-9011", "date": "01/07/2008 01/07/2008", "time": "09:48PM", "subtotal": "9.99 9.99", "tax": ".77", "total": "10.76", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "501MUSTVISITDESTINATIONS", "item_value": "9.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[146.0, 0.0], [188.0, 0.0], [188.0, 10.0], [146.0, 10.0]], ('Sanr.', 0.8283790349960327)], [[[163.0, 11.0], [361.0, 0.0], [362.0, 20.0], [164.0, 31.0]], ("Nando's I0I Mal,", 0.849937915802002)], [[[94.0, 36.0], [411.0, 19.0], [412.0, 40.0], [95.0, 57.0]], ('Lot EG003 EG5Ground Floor', 0.8665684461593628)], [[[73.0, 62.0], [436.0, 43.0], [437.0, 66.0], [74.0, 85.0]], ('I0I Mal1Batu 9 Jalan Puchong', 0.8724826574325562)], [[[117.0, 86.0], [392.0, 73.0], [393.0, 95.0], [118.0, 108.0]], ('47100 PuchongSelangor', 0.9698222875595093)], [[[60.0, 117.0], [467.0, 95.0], [468.0, 116.0], [61.0, 138.0]], ('Te1:603-80706555 Fax:603-8070 7355', 0.9302706122398376)], [[[141.0, 140.0], [370.0, 129.0], [371.0, 150.0], [142.0, 162.0]], ('GST 10:000097492992', 0.9402707815170288)], [[[384.0, 156.0], [510.0, 149.0], [512.0, 173.0], [385.0, 180.0]], ('40 NURRANI', 0.9449952840805054)], [[[19.0, 174.0], [128.0, 167.0], [130.0, 193.0], [21.0, 200.0]], ('2NANDOS1', 0.9515918493270874)], [[[436.0, 213.0], [515.0, 208.0], [517.0, 235.0], [438.0, 240.0]], ('Guest1', 0.9656143188476562)], [[[22.0, 233.0], [119.0, 228.0], [120.0, 253.0], [24.0, 258.0]], ('Chk 8985', 0.9378154873847961)], [[[411.0, 244.0], [517.0, 239.0], [519.0, 268.0], [412.0, 272.0]], ('TBL8/1', 0.9850617051124573)], [[[27.0, 264.0], [239.0, 255.0], [239.0, 277.0], [27.0, 286.0]], ('16 May 15 14:46:39', 0.896582841873169)], [[[406.0, 303.0], [501.0, 299.0], [502.0, 325.0], [407.0, 329.0]], ('18.90S', 0.9867741465568542)], [[[19.0, 318.0], [32.0, 318.0], [32.0, 338.0], [19.0, 338.0]], ('1', 0.8568640947341919)], [[[67.0, 315.0], [253.0, 310.0], [253.0, 333.0], [68.0, 339.0]], ('1/4 Chick+2sd-E', 0.9611502885818481)], [[[75.0, 343.0], [153.0, 340.0], [154.0, 366.0], [76.0, 368.0]], ('1/4-XH', 0.9814371466636658)], [[[71.0, 375.0], [214.0, 369.0], [215.0, 393.0], [72.0, 399.0]], ('ChipsR)-EC', 0.9487446546554565)], [[[70.0, 405.0], [291.0, 400.0], [292.0, 423.0], [71.0, 429.0]], ('GarlicBreadR)-EC', 0.9260903596878052)], [[[426.0, 426.0], [517.0, 426.0], [517.0, 456.0], [426.0, 456.0]], ('5.90 S', 0.8989644646644592)], [[[6.0, 443.0], [14.0, 443.0], [14.0, 459.0], [6.0, 459.0]], ('-', 0.6282455325126648)], [[[56.0, 438.0], [252.0, 432.0], [252.0, 457.0], [57.0, 462.0]], ('IceLmnTea Gls-E', 0.9058178663253784)], [[[51.0, 469.0], [184.0, 469.0], [184.0, 494.0], [51.0, 494.0]], ('XYAH BUAT', 0.9376153945922852)], [[[61.0, 503.0], [212.0, 501.0], [213.0, 526.0], [62.0, 528.0]], ('INSTRUCTION', 0.994937539100647)], [[[34.0, 538.0], [143.0, 538.0], [143.0, 564.0], [34.0, 564.0]], ('MO565143', 0.940361738204956)], [[[47.0, 575.0], [237.0, 575.0], [237.0, 599.0], [47.0, 599.0]], ('Member Enquiry', 0.9533193707466125)], [[[438.0, 569.0], [528.0, 566.0], [528.0, 596.0], [438.0, 599.0]], ('0.00Z', 0.9184061288833618)], [[[36.0, 610.0], [254.0, 610.0], [254.0, 634.0], [36.0, 634.0]], ('XXXXXXXXXXXX8612', 0.8131750822067261)], [[[46.0, 644.0], [187.0, 644.0], [187.0, 672.0], [46.0, 672.0]], ('VISA/MC CC', 0.9671163558959961)], [[[426.0, 640.0], [504.0, 640.0], [504.0, 673.0], [426.0, 673.0]], ('28.90', 0.9949186444282532)]]	{"store_name": "", "store_addr": "Nando'sIOIMall, LotEG003EG5,GroundFloor IOIMall,Batu9JaIanPuchong. 47100Puchong,Selangor", "telephone": "603-80706555", "date": "16May15", "time": "14:46:39", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "1/4Chick+2sd-E", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "1/4-XH", "item_value": "5.90", "item_quantity": "1"}, {"item_key": "", "item_name": "Chips(R)-EC", "item_value": "18.90", "item_quantity": "1"}, {"item_key": "", "item_name": "GarlicBraed(R)-EC", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "IceLmnTeaGlS-E", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "XYAHBUAT", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "INSTRUCTION", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MemberEnquiry", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[122.0, 92.0], [193.0, 92.0], [193.0, 103.0], [122.0, 103.0]], ('8/5/16753PM', 0.9131393432617188)], [[[50.0, 102.0], [192.0, 102.0], [192.0, 116.0], [50.0, 116.0]], ('Wes P.Table53 Check23643', 0.9300928115844727)], [[[129.0, 128.0], [179.0, 128.0], [179.0, 139.0], [129.0, 139.0]], ('-Bev_NABev', 0.907375693321228)], [[[48.0, 139.0], [150.0, 138.0], [150.0, 152.0], [48.0, 153.0]], ('1 BOYLANS Root Beer', 0.9112003445625305)], [[[233.0, 137.0], [264.0, 134.0], [265.0, 149.0], [234.0, 152.0]], ('$3.15', 0.988177478313446)], [[[104.0, 151.0], [198.0, 151.0], [198.0, 164.0], [104.0, 164.0]], ('--Food_Sandwiches', 0.9152436256408691)], [[[49.0, 164.0], [133.0, 164.0], [133.0, 177.0], [49.0, 177.0]], ('1 Buffalo Burger', 0.9229753017425537)], [[[230.0, 161.0], [266.0, 161.0], [266.0, 175.0], [230.0, 175.0]], ('$13.50', 0.9861316680908203)], [[[49.0, 177.0], [116.0, 177.0], [116.0, 188.0], [49.0, 188.0]], ('1Lamb Burger', 0.912817656993866)], [[[230.0, 174.0], [266.0, 171.0], [267.0, 187.0], [231.0, 189.0]], ('$12.60', 0.98846036195755)], [[[131.0, 189.0], [187.0, 189.0], [187.0, 200.0], [131.0, 200.0]], ('Wine Glass', 0.9406781196594238)], [[[47.0, 201.0], [204.0, 199.0], [205.0, 213.0], [47.0, 215.0]], ('1 GLS Piu Grigio Pinot Grigio', 0.9306812882423401)], [[[238.0, 198.0], [269.0, 198.0], [269.0, 213.0], [238.0, 213.0]], ('$6.30', 0.9702939987182617)], [[[57.0, 227.0], [108.0, 227.0], [108.0, 241.0], [57.0, 241.0]], ('Sub-Total', 0.9580438137054443)], [[[234.0, 223.0], [270.0, 223.0], [270.0, 238.0], [234.0, 238.0]], ('$35.55', 0.9905924201011658)], [[[55.0, 239.0], [109.0, 241.0], [108.0, 256.0], [55.0, 254.0]], ('Sales Tax', 0.9383785724639893)], [[[240.0, 237.0], [270.0, 237.0], [270.0, 252.0], [240.0, 252.0]], ('$2.81', 0.9853718876838684)], [[[43.0, 267.0], [75.0, 267.0], [75.0, 291.0], [43.0, 291.0]], ('Total', 0.9966270327568054)], [[[235.0, 263.0], [274.0, 263.0], [274.0, 287.0], [235.0, 287.0]], ('$38.36', 0.9909296631813049)], [[[41.0, 289.0], [104.0, 289.0], [104.0, 314.0], [41.0, 314.0]], ('Amount Due', 0.9541949033737183)], [[[236.0, 283.0], [276.0, 283.0], [276.0, 310.0], [236.0, 310.0]], ('$38.36', 0.8852341771125793)], [[[40.0, 325.0], [130.0, 322.0], [131.0, 339.0], [41.0, 342.0]], ('Total Discounts', 0.9483352303504944)], [[[244.0, 319.0], [278.0, 319.0], [278.0, 338.0], [244.0, 338.0]], ('$3.95', 0.9425700902938843)], [[[39.0, 355.0], [136.0, 351.0], [137.0, 368.0], [40.0, 372.0]], ('Total Discounted', 0.9553960561752319)], [[[246.0, 349.0], [279.0, 349.0], [279.0, 367.0], [246.0, 367.0]], ('$3.95', 0.992962658405304)], [[[43.0, 384.0], [274.0, 378.0], [275.0, 395.0], [43.0, 401.0]], ('Take a Growler Home of our Hand-Crafted', 0.9651767015457153)], [[[143.0, 399.0], [181.0, 399.0], [181.0, 413.0], [143.0, 413.0]], ('Brews!', 0.9778955578804016)], [[[89.0, 415.0], [236.0, 410.0], [236.0, 427.0], [90.0, 432.0]], ('www.westboundanddown.com', 0.9684643745422363)], [[[127.0, 429.0], [200.0, 427.0], [201.0, 444.0], [127.0, 446.0]], ('720-502-3121', 0.9917405247688293)]]	{"store_name": "THEBUFFILO", "store_addr": "", "telephone": "720-502-3121", "date": "8/5/16", "time": "7:53PM", "subtotal": "$35.55", "tax": "$2.81", "total": "$38.36 $38.36", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BOYLANSRootBeer", "item_value": "$3.15", "item_quantity": "1"}, {"item_key": "", "item_name": "BuffaloBurger", "item_value": "$13.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LambBurger", "item_value": "$12.60", "item_quantity": "1"}, {"item_key": "", "item_name": "GLSPiuGrigioPinotGrigio", "item_value": "$6.30", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[75.0, 57.0], [137.0, 61.0], [136.0, 81.0], [74.0, 77.0]], ('Your Coapany', 0.9136147499084473)], [[[72.0, 80.0], [142.0, 80.0], [142.0, 94.0], [72.0, 94.0]], ('123456-7890', 0.9659715294837952)], [[[50.0, 92.0], [156.0, 93.0], [155.0, 107.0], [50.0, 105.0]], ('Sold To: John Baradin', 0.8696781396865845)], [[[30.0, 105.0], [178.0, 105.0], [178.0, 118.0], [30.0, 118.0]], ('BARAJ0/W1001January 02.2002', 0.8096529841423035)], [[[12.0, 129.0], [118.0, 129.0], [118.0, 143.0], [12.0, 143.0]], ('LBSI120 Trial Pack', 0.8092020750045776)], [[[170.0, 128.0], [203.0, 128.0], [203.0, 143.0], [170.0, 143.0]], ('$12.10', 0.9630990028381348)], [[[109.0, 152.0], [157.0, 154.0], [156.0, 168.0], [108.0, 166.0]], ('SUSTOTAL:', 0.9282314777374268)], [[[171.0, 155.0], [203.0, 155.0], [203.0, 166.0], [171.0, 166.0]], ('$12.10', 0.8949709534645081)], [[[110.0, 168.0], [154.0, 168.0], [154.0, 179.0], [110.0, 179.0]], ('DISEOUNTS', 0.8458330631256104)], [[[166.0, 167.0], [202.0, 167.0], [202.0, 181.0], [166.0, 181.0]], ('($0.61)', 0.7866961359977722)], [[[106.0, 181.0], [155.0, 181.0], [155.0, 192.0], [106.0, 192.0]], ('SALES TAX', 0.9232578277587891)], [[[174.0, 179.0], [203.0, 179.0], [203.0, 193.0], [174.0, 193.0]], ('$0.69', 0.8800579309463501)], [[[125.0, 207.0], [157.0, 207.0], [157.0, 224.0], [125.0, 224.0]], ('TOTAL:', 0.9814019799232483)], [[[169.0, 205.0], [203.0, 205.0], [203.0, 224.0], [169.0, 224.0]], ('$12.18', 0.9799287915229797)], [[[110.0, 226.0], [155.0, 226.0], [155.0, 240.0], [110.0, 240.0]], ('PAYNENTS:', 0.933257520198822)], [[[170.0, 225.0], [203.0, 225.0], [203.0, 240.0], [170.0, 240.0]], ('$12.18', 0.9411771297454834)], [[[97.0, 240.0], [155.0, 240.0], [155.0, 258.0], [97.0, 258.0]], ('BALANCE DUE:', 0.9176836609840393)], [[[174.0, 239.0], [204.0, 239.0], [204.0, 258.0], [174.0, 258.0]], ('$0.00', 0.9606045484542847)], [[[13.0, 273.0], [127.0, 273.0], [127.0, 287.0], [13.0, 287.0]], ('Total nusber of ites:1', 0.8392600417137146)], [[[112.0, 298.0], [157.0, 298.0], [157.0, 311.0], [112.0, 311.0]], ('Cash #1', 0.8843571543693542)], [[[175.0, 297.0], [204.0, 297.0], [204.0, 310.0], [175.0, 310.0]], ('$5.00', 0.9231082201004028)], [[[97.0, 311.0], [156.0, 311.0], [156.0, 322.0], [97.0, 322.0]], ('Check.1324', 0.939898669719696)], [[[175.0, 310.0], [204.0, 310.0], [204.0, 323.0], [175.0, 323.0]], ('$7.18', 0.9657385945320129)], [[[12.0, 336.0], [204.0, 336.0], [204.0, 349.0], [12.0, 349.0]], ('Piace your message here that you vant to', 0.8962229490280151)], [[[13.0, 349.0], [112.0, 349.0], [112.0, 362.0], [13.0, 362.0]], ('appear on an.invoice', 0.8815180659294128)]]	{"store_name": "", "store_addr": "", "telephone": "(123)456-7898", "date": "BARAJO/#1001-January02,2002", "time": "", "subtotal": "$12.18", "tax": "$0.69", "total": "$12.18", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LESIT(20)TrialPack", "item_value": "$12.10", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[267.0, 537.0], [1278.0, 527.0], [1279.0, 595.0], [268.0, 605.0]], ('DOLLAR GENERAL STORE #O4740', 0.9537022113800049)], [[[490.0, 609.0], [1099.0, 605.0], [1099.0, 666.0], [491.0, 670.0]], ('320 MILLCREEK DR', 0.946628987789154)], [[[308.0, 677.0], [1248.0, 666.0], [1248.0, 734.0], [308.0, 745.0]], ('MARYSVILLE0H 43040-9642', 0.9627262353897095)], [[[537.0, 748.0], [1062.0, 741.0], [1062.0, 802.0], [538.0, 809.0]], ('937644-9236', 0.9875563979148865)], [[[1352.0, 858.0], [1516.0, 849.0], [1520.0, 920.0], [1356.0, 929.0]], ('1.00', 0.9971070885658264)], [[[944.0, 870.0], [998.0, 870.0], [998.0, 938.0], [944.0, 938.0]], ('E', 0.9976513981819153)], [[[10.0, 884.0], [767.0, 877.0], [768.0, 938.0], [10.0, 945.0]], ('WERTHERS ORIGINAL CA', 0.9682499170303345)], [[[88.0, 955.0], [696.0, 948.0], [697.0, 1010.0], [88.0, 1017.0]], ('072799035426-110', 0.9913208484649658)], [[[1360.0, 986.0], [1522.0, 986.0], [1522.0, 1061.0], [1360.0, 1061.0]], ('1.00', 0.9978210926055908)], [[[91.0, 1020.0], [585.0, 1016.0], [585.0, 1084.0], [92.0, 1088.0]], ('REGULAR PRICE', 0.9613651037216187)], [[[1355.0, 1062.0], [1554.0, 1053.0], [1557.0, 1124.0], [1358.0, 1133.0]], ('0.75-', 0.9048134684562683)], [[[16.0, 1095.0], [479.0, 1084.0], [481.0, 1155.0], [18.0, 1167.0]], ('COUPON $0.75', 0.9553515911102295)], [[[1362.0, 1191.0], [1560.0, 1182.0], [1564.0, 1257.0], [1365.0, 1266.0]], ('$0.25', 0.9942536354064941)], [[[23.0, 1228.0], [388.0, 1220.0], [389.0, 1292.0], [25.0, 1299.0]], ('TOTAL', 0.9978439211845398)], [[[1365.0, 1259.0], [1564.0, 1250.0], [1567.0, 1325.0], [1369.0, 1334.0]], ('$0.25', 0.9923292994499207)], [[[23.0, 1300.0], [336.0, 1288.0], [339.0, 1363.0], [26.0, 1374.0]], ('CASH', 0.9969375133514404)], [[[777.0, 1411.0], [1294.0, 1400.0], [1296.0, 1472.0], [779.0, 1483.0]], ('SAVINGS', 0.9941033720970154)], [[[341.0, 1425.0], [807.0, 1410.0], [809.0, 1482.0], [343.0, 1497.0]], ('TOTALS', 0.9163773655891418)], [[[635.0, 1486.0], [1003.0, 1475.0], [1005.0, 1546.0], [637.0, 1558.0]], ('$0.75', 0.9940425753593445)], [[[54.0, 1635.0], [308.0, 1635.0], [308.0, 1697.0], [54.0, 1697.0]], ('ITEMS 1', 0.9426409602165222)], [[[1458.0, 1659.0], [1617.0, 1659.0], [1617.0, 1737.0], [1458.0, 1737.0]], ('1367', 0.9994840025901794)], [[[47.0, 1704.0], [1155.0, 1672.0], [1157.0, 1740.0], [49.0, 1772.0]], ('2012-07-0413:28:370474001', 0.9772710204124451)], [[[105.0, 2050.0], [210.0, 2050.0], [210.0, 2115.0], [105.0, 2115.0]], ('899', 0.9952918887138367)], [[[304.0, 2047.0], [1650.0, 2016.0], [1651.0, 2074.0], [305.0, 2105.0]], ('9276063739116310910919919915218211121', 0.9895662069320679)], [[[696.0, 2302.0], [1010.0, 2294.0], [1012.0, 2366.0], [698.0, 2374.0]], ('CUT HERE', 0.9726412296295166)], [[[118.0, 2387.0], [1620.0, 2363.0], [1621.0, 2421.0], [119.0, 2445.0]], ('*************************************', 0.7162291407585144)], [[[1644.0, 2428.0], [1684.0, 2428.0], [1684.0, 2482.0], [1644.0, 2482.0]], ('', 0.5854356288909912)], [[[483.0, 2445.0], [1305.0, 2434.0], [1306.0, 2502.0], [484.0, 2513.0]], ('We value your opinion!', 0.9572498202323914)], [[[122.0, 2458.0], [162.0, 2458.0], [162.0, 2509.0], [122.0, 2509.0]], ('', 0.691717803478241)], [[[1644.0, 2496.0], [1688.0, 2496.0], [1688.0, 2550.0], [1644.0, 2550.0]], ('', 0.7103679776191711)], [[[118.0, 2519.0], [162.0, 2519.0], [162.0, 2577.0], [118.0, 2577.0]], ('', 0.6263375878334045)], [[[412.0, 2516.0], [1373.0, 2502.0], [1374.0, 2563.0], [413.0, 2577.0]], ('Be the next $1,0oo Winner!', 0.8827956318855286)], [[[1647.0, 2560.0], [1688.0, 2560.0], [1688.0, 2618.0], [1647.0, 2618.0]], ('', 0.6025019288063049)], [[[517.0, 2577.0], [1275.0, 2574.0], [1275.0, 2645.0], [518.0, 2649.0]], ('3 winners per month.', 0.930148720741272)], [[[111.0, 2652.0], [1619.0, 2624.0], [1621.0, 2706.0], [113.0, 2734.0]], ("* Complete a survey about today's visit:", 0.9242936372756958)], [[[1657.0, 2706.0], [1688.0, 2706.0], [1688.0, 2751.0], [1657.0, 2751.0]], ('X', 0.6114460229873657)], [[[115.0, 2724.0], [1572.0, 2699.0], [1573.0, 2771.0], [116.0, 2795.0]], ('Ca111.866.214.5750', 0.9535406231880188)], [[[111.0, 2792.0], [1586.0, 2771.0], [1587.0, 2852.0], [112.0, 2873.0]], ('Or visit www.dol largeneralsurvey.com', 0.949363112449646)], [[[1661.0, 2846.0], [1691.0, 2846.0], [1691.0, 2887.0], [1661.0, 2887.0]], ('X', 0.5096374154090881)], [[[122.0, 2880.0], [152.0, 2880.0], [152.0, 2917.0], [122.0, 2917.0]], ('', 0.716932475566864)], [[[412.0, 3057.0], [1362.0, 3043.0], [1363.0, 3111.0], [413.0, 3125.0]], ('Para completar un estudio', 0.9573023915290833)], [[[264.0, 3111.0], [1545.0, 3097.0], [1546.0, 3165.0], [264.0, 3179.0]], ('De esta tienda en Espanol y entrar', 0.9429767727851868)], [[[129.0, 3121.0], [159.0, 3121.0], [159.0, 3162.0], [129.0, 3162.0]], ('', 0.5041654706001282)], [[[1661.0, 3159.0], [1701.0, 3159.0], [1701.0, 3213.0], [1661.0, 3213.0]], ('*', 0.6295017600059509)], [[[267.0, 3172.0], [1521.0, 3155.0], [1522.0, 3226.0], [268.0, 3244.0]], ('En unos sorteos para ganar $1,000', 0.9137144684791565)], [[[1664.0, 3220.0], [1698.0, 3220.0], [1698.0, 3257.0], [1664.0, 3257.0]], ('X', 0.6269705891609192)]]	{"store_name": "DOLLARGENERALSTORE#04740", "store_addr": "320MILLCREEKDR MARYSVILLE,OH43040-9642", "telephone": "(937)644-9236", "date": "2012-07-04", "time": "13:28:37", "subtotal": "1.00", "tax": "", "total": "$0.25 $0.25", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WERTHERSORIGINALCA", "item_value": "1.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[95.0, 12.0], [210.0, 24.0], [206.0, 68.0], [91.0, 55.0]], ('asa', 0.9747968316078186)], [[[78.0, 136.0], [236.0, 135.0], [237.0, 149.0], [78.0, 150.0]], ('8/F LKF Tower33 Wyndham Street,', 0.8827956914901733)], [[[113.0, 147.0], [203.0, 147.0], [203.0, 160.0], [113.0, 160.0]], ('Central.Hong Kong', 0.9315083026885986)], [[[130.0, 160.0], [189.0, 160.0], [189.0, 171.0], [130.0, 171.0]], ('TEL:29051168', 0.9622939229011536)], [[[107.0, 180.0], [211.0, 180.0], [211.0, 200.0], [107.0, 200.0]], ('Guest Check', 0.9689353704452515)], [[[60.0, 209.0], [144.0, 211.0], [143.0, 229.0], [59.0, 227.0]], ('Table:10', 0.9348559379577637)], [[[57.0, 227.0], [145.0, 226.0], [146.0, 240.0], [58.0, 241.0]], ('Check No11021630', 0.9301730990409851)], [[[170.0, 218.0], [210.0, 218.0], [210.0, 229.0], [170.0, 229.0]], ('Cover:1', 0.9303673505783081)], [[[169.0, 236.0], [237.0, 238.0], [236.0, 253.0], [168.0, 251.0]], ('Tine:21:57:27', 0.867490828037262)], [[[170.0, 228.0], [236.0, 228.0], [236.0, 239.0], [170.0, 239.0]], ('Staff:Nirmala', 0.9174765944480896)], [[[56.0, 240.0], [137.0, 237.0], [137.0, 251.0], [57.0, 254.0]], ('Date:2016-02-20', 0.9531360268592834)], [[[58.0, 272.0], [150.0, 270.0], [150.0, 284.0], [59.0, 286.0]], ('Gls Huros Antigos', 0.8808943629264832)], [[[213.0, 270.0], [247.0, 273.0], [246.0, 287.0], [212.0, 284.0]], ('$170.0', 0.9914977550506592)], [[[58.0, 283.0], [125.0, 281.0], [126.0, 295.0], [59.0, 297.0]], ('Codf ish Cakes', 0.9226461052894592)], [[[214.0, 282.0], [246.0, 285.0], [245.0, 299.0], [213.0, 296.0]], ('$100.0', 0.9965222477912903)], [[[57.0, 294.0], [162.0, 290.0], [163.0, 304.0], [58.0, 309.0]], ('Pir1-Pir1 Chicken half', 0.8160419464111328)], [[[213.0, 294.0], [247.0, 294.0], [247.0, 308.0], [213.0, 308.0]], ('$230.0', 0.9776964783668518)], [[[59.0, 306.0], [126.0, 306.0], [126.0, 317.0], [59.0, 317.0]], ('Pear in Porto', 0.9209854602813721)], [[[218.0, 307.0], [247.0, 307.0], [247.0, 318.0], [218.0, 318.0]], ('$90.0', 0.9824714660644531)], [[[59.0, 318.0], [134.0, 318.0], [134.0, 328.0], [59.0, 328.0]], ('Double Expresso', 0.9557238221168518)], [[[198.0, 318.0], [203.0, 318.0], [203.0, 324.0], [198.0, 324.0]], ('1', 0.9533066153526306)], [[[218.0, 316.0], [248.0, 316.0], [248.0, 330.0], [218.0, 330.0]], ('$40.0', 0.9779003858566284)], [[[110.0, 326.0], [164.0, 323.0], [165.0, 337.0], [110.0, 340.0]], ('Sub Total', 0.9183990955352783)], [[[88.0, 336.0], [172.0, 336.0], [172.0, 350.0], [88.0, 350.0]], ('10x Service Charge', 0.8976741433143616)], [[[215.0, 328.0], [247.0, 328.0], [247.0, 340.0], [215.0, 340.0]], ('$630.0', 0.9930117130279541)], [[[227.0, 340.0], [255.0, 340.0], [255.0, 351.0], [227.0, 351.0]], ('$63.0', 0.949959397315979)], [[[95.0, 358.0], [151.0, 358.0], [151.0, 379.0], [95.0, 379.0]], ('Total:', 0.9834449291229248)], [[[193.0, 358.0], [252.0, 361.0], [251.0, 382.0], [192.0, 379.0]], ('$693.0', 0.9942012429237366)], [[[59.0, 397.0], [132.0, 398.0], [132.0, 412.0], [59.0, 411.0]], ('No of print1', 0.9181745648384094)], [[[151.0, 398.0], [248.0, 403.0], [248.0, 416.0], [150.0, 411.0]], ('Print T1me:22:59:44', 0.8565945625305176)], [[[59.0, 410.0], [149.0, 410.0], [149.0, 423.0], [59.0, 423.0]], ('Print Staff:Shant1', 0.9373078942298889)]]	{"store_name": "Casa Lisloa", "store_addr": "8/FLKFTower,33WyndhamStreet. Central,HongKong", "telephone": "29051168", "date": "2016-02-20", "time": "22:59:44", "subtotal": "$630.0", "tax": "", "total": "$693.0", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "(Gls)MurosAntigos", "item_value": "$170.0", "item_quantity": "1"}, {"item_key": "", "item_name": "CodfishCakes", "item_value": "$100.0", "item_quantity": "1"}, {"item_key": "", "item_name": "Piri-PiriChickenhalf", "item_value": "$230.0", "item_quantity": "1"}, {"item_key": "", "item_name": "PearinPorto", "item_value": "$90.0", "item_quantity": "1"}, {"item_key": "", "item_name": "DoubleExpresso", "item_value": "$40.0", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[75.0, 6.0], [176.0, 3.0], [176.0, 20.0], [75.0, 23.0]], ('KARNATAKA RESTAURANT', 0.9469622373580933)], [[[51.0, 16.0], [173.0, 15.0], [173.0, 32.0], [51.0, 33.0]], ('46/3.YUSUFSARAI MARKET', 0.8555252552032471)], [[[75.0, 29.0], [158.0, 28.0], [158.0, 42.0], [75.0, 43.0]], ('NEW0ELHI-110016', 0.9282791018486023)], [[[12.0, 50.0], [72.0, 50.0], [72.0, 64.0], [12.0, 64.0]], ('BILLN1362', 0.9295971393585205)], [[[78.0, 50.0], [208.0, 47.0], [209.0, 64.0], [78.0, 67.0]], ('Reta1 Invo1ce 05/04/2016', 0.889763593673706)], [[[11.0, 61.0], [104.0, 62.0], [104.0, 76.0], [11.0, 75.0]], ('Tabe No:11/GF', 0.8232375383377075)], [[[153.0, 62.0], [199.0, 62.0], [199.0, 76.0], [153.0, 76.0]], ('d560', 0.6603600382804871)], [[[10.0, 84.0], [78.0, 84.0], [78.0, 98.0], [10.0, 98.0]], ('USERADMIN', 0.9825083613395691)], [[[11.0, 75.0], [66.0, 75.0], [66.0, 86.0], [11.0, 86.0]], ('Cover1', 0.9378870129585266)], [[[109.0, 85.0], [189.0, 86.0], [189.0, 101.0], [109.0, 99.0]], ('STUW.NPACKING', 0.9167976975440979)], [[[9.0, 108.0], [69.0, 111.0], [69.0, 125.0], [9.0, 122.0]], ('Descriptton', 0.9259824752807617)], [[[104.0, 110.0], [150.0, 110.0], [150.0, 125.0], [104.0, 125.0]], ('Qty Rate', 0.9424126744270325)], [[[159.0, 110.0], [193.0, 110.0], [193.0, 125.0], [159.0, 125.0]], ('Anount', 0.9603419303894043)], [[[9.0, 132.0], [68.0, 135.0], [68.0, 149.0], [9.0, 146.0]], ('Soft Drinks', 0.9424185156822205)], [[[110.0, 137.0], [119.0, 137.0], [119.0, 146.0], [110.0, 146.0]], ('2', 0.967620849609375)], [[[128.0, 134.0], [159.0, 134.0], [159.0, 148.0], [128.0, 148.0]], ('24.00', 0.9805572628974915)], [[[174.0, 134.0], [204.0, 134.0], [204.0, 148.0], [174.0, 148.0]], ('48.00', 0.9818381071090698)], [[[11.0, 148.0], [63.0, 148.0], [63.0, 159.0], [11.0, 159.0]], ('Lemon Rice', 0.9140293002128601)], [[[127.0, 146.0], [159.0, 146.0], [159.0, 160.0], [127.0, 160.0]], ('93.00', 0.9893395304679871)], [[[174.0, 146.0], [205.0, 146.0], [205.0, 160.0], [174.0, 160.0]], ('93.00', 0.9889583587646484)], [[[9.0, 156.0], [60.0, 159.0], [59.0, 174.0], [9.0, 172.0]], ('Rice Id11', 0.8109363913536072)], [[[127.0, 158.0], [159.0, 158.0], [159.0, 172.0], [127.0, 172.0]], ('76.00', 0.9902423024177551)], [[[174.0, 156.0], [205.0, 159.0], [204.0, 174.0], [173.0, 171.0]], ('76.00', 0.9927480816841125)], [[[9.0, 170.0], [68.0, 172.0], [68.0, 186.0], [9.0, 184.0]], ('Rava Masala', 0.9425455331802368)], [[[122.0, 171.0], [159.0, 171.0], [159.0, 185.0], [122.0, 185.0]], ('115.00', 0.983656108379364)], [[[169.0, 171.0], [205.0, 171.0], [205.0, 185.0], [169.0, 185.0]], ('230.00', 0.9853425025939941)], [[[10.0, 183.0], [68.0, 183.0], [68.0, 197.0], [10.0, 197.0]], ('Nix Uthapan', 0.9087889194488525)], [[[111.0, 185.0], [120.0, 185.0], [120.0, 194.0], [111.0, 194.0]], ('1.', 0.5979189872741699)], [[[121.0, 182.0], [159.0, 184.0], [159.0, 198.0], [120.0, 196.0]], ('118.00', 0.9434266090393066)], [[[170.0, 181.0], [205.0, 184.0], [204.0, 198.0], [169.0, 196.0]], ('118.00', 0.9849229454994202)], [[[9.0, 194.0], [60.0, 196.0], [59.0, 210.0], [9.0, 208.0]], ('Dani Vada', 0.8406909704208374)], [[[111.0, 197.0], [120.0, 197.0], [120.0, 207.0], [111.0, 207.0]], ('3.', 0.8346524238586426)], [[[124.0, 197.0], [158.0, 197.0], [158.0, 208.0], [124.0, 208.0]], ('110.00', 0.9791408181190491)], [[[169.0, 196.0], [205.0, 196.0], [205.0, 210.0], [169.0, 210.0]], ('330.00', 0.9318198561668396)], [[[11.0, 208.0], [105.0, 208.0], [105.0, 221.0], [11.0, 221.0]], ('Fresh Lime Soda S', 0.9091047048568726)], [[[128.0, 209.0], [158.0, 209.0], [158.0, 220.0], [128.0, 220.0]], ('51.00', 0.9743906259536743)], [[[170.0, 208.0], [206.0, 208.0], [206.0, 222.0], [170.0, 222.0]], ('102.00', 0.9901184439659119)], [[[11.0, 220.0], [93.0, 220.0], [93.0, 233.0], [11.0, 233.0]], ('Andhra Pesarattu', 0.9410258531570435)], [[[124.0, 218.0], [159.0, 220.0], [158.0, 234.0], [123.0, 232.0]], ('160.00', 0.9850921034812927)], [[[9.0, 229.0], [104.0, 231.0], [104.0, 245.0], [9.0, 243.0]], ('Mushroon Cap Uthap', 0.9049364924430847)], [[[172.0, 221.0], [205.0, 221.0], [205.0, 232.0], [172.0, 232.0]], ('160.00', 0.9783902168273926)], [[[124.0, 231.0], [159.0, 231.0], [159.0, 245.0], [124.0, 245.0]], ('152.00', 0.982563316822052)], [[[172.0, 231.0], [206.0, 231.0], [206.0, 245.0], [172.0, 245.0]], ('152.00', 0.9713280200958252)], [[[8.0, 242.0], [78.0, 242.0], [78.0, 256.0], [8.0, 256.0]], ('Chocolate I.C', 0.9146187901496887)], [[[127.0, 242.0], [159.0, 242.0], [159.0, 256.0], [127.0, 256.0]], ('76.00', 0.9899183511734009)], [[[174.0, 241.0], [207.0, 243.0], [206.0, 258.0], [173.0, 256.0]], ('76.00', 0.9850956201553345)], [[[6.0, 252.0], [75.0, 255.0], [75.0, 269.0], [6.0, 266.0]], ('Filter Coffee', 0.8246090412139893)], [[[128.0, 256.0], [158.0, 256.0], [158.0, 267.0], [128.0, 267.0]], ('42.00', 0.9939419627189636)], [[[170.0, 255.0], [207.0, 255.0], [207.0, 269.0], [170.0, 269.0]], ('126.00', 0.9222042560577393)], [[[81.0, 278.0], [126.0, 280.0], [125.0, 295.0], [80.0, 292.0]], ('SooTatal', 0.7820297479629517)], [[[165.0, 281.0], [207.0, 281.0], [207.0, 295.0], [165.0, 295.0]], ('1511.00', 0.9897688031196594)], [[[107.0, 294.0], [126.0, 294.0], [126.0, 306.0], [107.0, 306.0]], ('.2%', 0.7208593487739563)], [[[164.0, 293.0], [202.0, 296.0], [201.0, 310.0], [163.0, 307.0]], ('87.64', 0.981185793876648)], [[[108.0, 306.0], [126.0, 306.0], [126.0, 319.0], [108.0, 319.0]], ('Fat', 0.6871752142906189)], [[[169.0, 306.0], [208.0, 309.0], [207.0, 324.0], [168.0, 321.0]], ('200.13', 0.9869484305381775)], [[[61.0, 320.0], [124.0, 317.0], [125.0, 331.0], [62.0, 334.0]], ('oundf', 0.6835574507713318)], [[[179.0, 320.0], [208.0, 323.0], [207.0, 337.0], [177.0, 334.0]], ('0.23', 0.9914498925209045)], [[[96.0, 344.0], [129.0, 348.0], [128.0, 358.0], [94.0, 354.0]], ('Joxal', 0.702980101108551)], [[[161.0, 345.0], [202.0, 348.0], [201.0, 362.0], [160.0, 359.0]], ('1799.00', 0.9845662117004395)], [[[2.0, 379.0], [99.0, 384.0], [98.0, 398.0], [2.0, 394.0]], ('TIN.NO:07220137412', 0.9523093104362488)], [[[0.0, 393.0], [202.0, 401.0], [201.0, 417.0], [0.0, 409.0]], ('Phone265112222686202626852534', 0.9879082441329956)], [[[0.0, 407.0], [48.0, 409.0], [47.0, 423.0], [0.0, 421.0]], ('E.&.O.E.', 0.9240060448646545)], [[[1.0, 419.0], [168.0, 427.0], [167.0, 444.0], [0.0, 436.0]], ('Service Tax No:AAIP82815NS0001', 0.894529402256012)], [[[159.0, 413.0], [201.0, 417.0], [200.0, 431.0], [158.0, 428.0]], ('Manager', 0.9951472878456116)]]	{"store_name": "KARNATAKARESTAURANT", "store_addr": "46/3,YUSUFSARATMARKET NEWDELHI-110016", "telephone": "26511222,26862026,26852534", "date": "06/04/2016", "time": "09:54PM", "subtotal": "1511.00", "tax": "87.64 200.13", "total": "1799.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SoftDrinks", "item_value": "48.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LemonRice", "item_value": "93.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RiceIdli", "item_value": "76.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RavaMasala", "item_value": "230.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MixUthapam", "item_value": "118.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Dahivada", "item_value": "330.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FreshLimeSoda(S", "item_value": "102.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AndhraPesarattu", "item_value": "160.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MushroomCapUthap", "item_value": "152.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChocolateI.C", "item_value": "76.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Filtercoffee", "item_value": "126.00", "item_quantity": "1"}, {"item_key": "Description", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[73.0, 83.0], [239.0, 92.0], [239.0, 106.0], [73.0, 97.0]], ('Conservatory Restaurant', 0.9855902194976807)], [[[45.0, 96.0], [274.0, 107.0], [273.0, 121.0], [44.0, 110.0]], ('Crown Melbourne Ltd.Tax Invoice', 0.9326385855674744)], [[[94.0, 112.0], [224.0, 119.0], [223.0, 132.0], [94.0, 125.0]], ('ABN46006 973262', 0.9589031338691711)], [[[45.0, 136.0], [165.0, 143.0], [165.0, 157.0], [44.0, 150.0]], ('990370399 R0se P.', 0.8935490846633911)], [[[263.0, 147.0], [272.0, 147.0], [272.0, 160.0], [263.0, 160.0]], ('2', 0.6149275302886963)], [[[45.0, 162.0], [97.0, 166.0], [96.0, 181.0], [44.0, 178.0]], ('TBL2/1', 0.9519453048706055)], [[[129.0, 180.0], [189.0, 183.0], [189.0, 197.0], [128.0, 194.0]], ('CHK7186', 0.9823389649391174)], [[[227.0, 171.0], [265.0, 171.0], [265.0, 186.0], [227.0, 186.0]], ('GST 1', 0.8882743716239929)], [[[110.0, 192.0], [208.0, 197.0], [207.0, 211.0], [109.0, 206.0]], ("30DEC'1712:41", 0.921294093132019)], [[[58.0, 229.0], [166.0, 233.0], [166.0, 247.0], [57.0, 243.0]], ('1Stella Artois', 0.9219409227371216)], [[[210.0, 232.0], [248.0, 234.0], [247.0, 249.0], [209.0, 247.0]], ('11.00', 0.9939538240432739)], [[[58.0, 242.0], [153.0, 244.0], [153.0, 258.0], [58.0, 256.0]], ('1Sat Lch $89', 0.9381098747253418)], [[[58.0, 255.0], [185.0, 257.0], [185.0, 271.0], [58.0, 269.0]], ('1 Grey Gse Lmtd Ed', 0.9106093645095825)], [[[209.0, 247.0], [248.0, 247.0], [248.0, 261.0], [209.0, 261.0]], ('89.00', 0.9943065643310547)], [[[58.0, 268.0], [139.0, 270.0], [139.0, 283.0], [57.0, 281.0]], ('1Kiwi Kiss', 0.7269132733345032)], [[[209.0, 259.0], [247.0, 259.0], [247.0, 273.0], [209.0, 273.0]], ('17.00', 0.9958478212356567)], [[[208.0, 270.0], [246.0, 272.0], [245.0, 287.0], [207.0, 284.0]], ('20.00', 0.9940532445907593)], [[[73.0, 293.0], [106.0, 293.0], [106.0, 307.0], [73.0, 307.0]], ('Food', 0.9906437993049622)], [[[208.0, 293.0], [245.0, 296.0], [244.0, 311.0], [207.0, 308.0]], ('89.00', 0.9834645986557007)], [[[72.0, 305.0], [131.0, 308.0], [130.0, 322.0], [72.0, 319.0]], ('Beverage', 0.9956064224243164)], [[[16.0, 315.0], [36.0, 315.0], [36.0, 326.0], [16.0, 326.0]], ('Ino', 0.8888013958930969)], [[[208.0, 306.0], [245.0, 309.0], [244.0, 324.0], [207.0, 321.0]], ('40.80', 0.5585675239562988)], [[[71.0, 316.0], [242.0, 318.0], [242.0, 336.0], [71.0, 333.0]], ('Amount Due$137.00', 0.9327616691589355)], [[[8.0, 331.0], [36.0, 331.0], [36.0, 343.0], [8.0, 343.0]], ('custo', 0.9855558276176453)], [[[15.0, 348.0], [35.0, 348.0], [35.0, 359.0], [15.0, 359.0]], ('you', 0.9860777854919434)], [[[51.0, 345.0], [129.0, 345.0], [129.0, 358.0], [51.0, 358.0]], ('Gratuities', 0.9613445401191711)], [[[44.0, 369.0], [82.0, 369.0], [82.0, 383.0], [44.0, 383.0]], ('Total', 0.9922780990600586)], [[[45.0, 393.0], [134.0, 393.0], [134.0, 406.0], [45.0, 406.0]], ('Print Surname', 0.9522028565406799)], [[[45.0, 404.0], [125.0, 406.0], [125.0, 419.0], [45.0, 417.0]], ('Signature', 0.9675032496452332)], [[[44.0, 428.0], [122.0, 428.0], [122.0, 441.0], [44.0, 441.0]], ('Roon Number', 0.9524986743927002)]]	{"store_name": "ConservatoryRestaurant", "store_addr": "CrownMelbourneLtd.TaxInvoice", "telephone": "", "date": "30DEC'17", "time": "12:41", "subtotal": "$137.00", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "StellaArtois", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SatLch$89", "item_value": "89.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GreyGseLmtdEd", "item_value": "17.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KiwiKiss", "item_value": "20.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[86.0, 11.0], [163.0, 11.0], [163.0, 38.0], [86.0, 38.0]], ('TOMS', 0.9985823631286621)], [[[84.0, 58.0], [161.0, 59.0], [161.0, 72.0], [84.0, 71.0]], ('One for One', 0.9567657113075256)], [[[37.0, 84.0], [212.0, 89.0], [212.0, 106.0], [37.0, 100.0]], ('TOMS Mall of America', 0.9301497340202332)], [[[83.0, 107.0], [165.0, 107.0], [165.0, 120.0], [83.0, 120.0]], ('TOMS Mal ofAmerica', 0.8054110407829285)], [[[90.0, 113.0], [155.0, 117.0], [154.0, 128.0], [90.0, 124.0]], ('125 Noh Garden', 0.8519245982170105)], [[[96.0, 130.0], [150.0, 132.0], [149.0, 143.0], [96.0, 140.0]], ('United States', 0.8379467725753784)], [[[95.0, 141.0], [149.0, 144.0], [148.0, 157.0], [95.0, 155.0]], ('MOA1-36967', 0.9153046607971191)], [[[83.0, 157.0], [161.0, 159.0], [161.0, 172.0], [83.0, 170.0]], ('19:51:5910/11/2018', 0.9168540239334106)], [[[18.0, 175.0], [95.0, 178.0], [94.0, 192.0], [17.0, 188.0]], ('Cuetomer Igrad', 0.8599358201026917)], [[[36.0, 204.0], [175.0, 206.0], [175.0, 219.0], [36.0, 217.0]], ('MULTICOLOR FEL WM ALPR ESP', 0.9162769913673401)], [[[38.0, 195.0], [141.0, 197.0], [141.0, 208.0], [38.0, 206.0]], ('10012634-8B-BLACK', 0.9476210474967957)], [[[191.0, 198.0], [223.0, 198.0], [223.0, 212.0], [191.0, 212.0]], ('$5995', 0.9015747904777527)], [[[35.0, 215.0], [75.0, 217.0], [75.0, 231.0], [34.0, 228.0]], ('Subtotal', 0.9843199849128723)], [[[192.0, 222.0], [223.0, 222.0], [223.0, 232.0], [192.0, 232.0]], ('$59.95', 0.961529016494751)], [[[36.0, 233.0], [62.0, 233.0], [62.0, 245.0], [36.0, 245.0]], ('Total', 0.998224139213562)], [[[188.0, 237.0], [223.0, 237.0], [223.0, 248.0], [188.0, 248.0]], ('$59.95', 0.944752037525177)]]	{"store_name": "TOMS TOMSMallofAmerica", "store_addr": "", "telephone": "", "date": "10/11/2018", "time": "19:51:59", "subtotal": "$59.95", "tax": "", "total": "$59.95", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MULTICOLORFELWMALPRESP", "item_value": "$59.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[68.0, 8.0], [157.0, 9.0], [157.0, 23.0], [68.0, 21.0]], ('6505 Fair Oaks Blvd', 0.8584767580032349)], [[[72.0, 0.0], [155.0, 1.0], [155.0, 12.0], [72.0, 11.0]], ('Carmichael Carwash', 0.9322764873504639)], [[[66.0, 20.0], [159.0, 20.0], [159.0, 32.0], [66.0, 32.0]], ('Cars1chael.CA 95608', 0.8449257016181946)], [[[82.0, 27.0], [143.0, 29.0], [142.0, 43.0], [82.0, 41.0]], ('916-488-3274', 0.9515183568000793)], [[[74.0, 41.0], [153.0, 41.0], [153.0, 54.0], [74.0, 54.0]], ('7/18/20168:10AM', 0.8889064192771912)], [[[46.0, 65.0], [182.0, 61.0], [183.0, 75.0], [46.0, 78.0]], ('YOUR MANAGER TODAY.ISEdgar R', 0.840121328830719)], [[[88.0, 86.0], [143.0, 86.0], [143.0, 107.0], [88.0, 107.0]], ('T31232', 0.9986131191253662)], [[[50.0, 124.0], [140.0, 124.0], [140.0, 137.0], [50.0, 137.0]], ('1PREHIUMEXPRESS(10)', 0.931995689868927)], [[[196.0, 124.0], [226.0, 124.0], [226.0, 138.0], [196.0, 138.0]], ('666', 0.9485086798667908)], [[[50.0, 137.0], [173.0, 136.0], [173.0, 146.0], [50.0, 147.0]], ('1UNLIMITED PREMIUM MASH CASH', 0.9238837361335754)], [[[189.0, 138.0], [223.0, 138.0], [223.0, 148.0], [189.0, 148.0]], ("66'6$", 0.8668433427810669)], [[[112.0, 154.0], [154.0, 156.0], [153.0, 170.0], [111.0, 168.0]], ('S.BTOTAL:', 0.8823767304420471)], [[[113.0, 165.0], [141.0, 167.0], [140.0, 179.0], [112.0, 176.0]], ('TAXES:', 0.9766271710395813)], [[[195.0, 159.0], [224.0, 159.0], [224.0, 170.0], [195.0, 170.0]], ("00'0$", 0.8138330578804016)], [[[112.0, 174.0], [144.0, 177.0], [143.0, 191.0], [111.0, 188.0]], ('TOTAL:', 0.9734047055244446)], [[[194.0, 169.0], [224.0, 169.0], [224.0, 183.0], [194.0, 183.0]], ('$0.00', 0.9864822626113892)], [[[114.0, 186.0], [154.0, 189.0], [153.0, 201.0], [113.0, 199.0]], ('TENDERED:', 0.9843194484710693)], [[[197.0, 178.0], [223.0, 181.0], [222.0, 193.0], [196.0, 190.0]], ('$0.00', 0.992961585521698)], [[[113.0, 198.0], [160.0, 200.0], [160.0, 211.0], [112.0, 209.0]], ('CHANGE DUE:', 0.8886083960533142)], [[[196.0, 189.0], [223.0, 192.0], [222.0, 203.0], [195.0, 201.0]], ('$0.00', 0.9819692373275757)], [[[195.0, 201.0], [223.0, 201.0], [223.0, 212.0], [195.0, 212.0]], ('$0.00', 0.9949943423271179)], [[[61.0, 227.0], [179.0, 230.0], [179.0, 242.0], [60.0, 240.0]], ('Please Save Your Receipt for', 0.8888942003250122)]]	{"store_name": "", "store_addr": "6505FairOaksBlvd Carmichael,CA95608", "telephone": "916-488-3274", "date": "7/18/2016", "time": "8:10AM", "subtotal": "$0.00", "tax": "$0.00", "total": "$0.00", "ignore": " ", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[339.0, 29.0], [1685.0, 63.0], [1678.0, 322.0], [332.0, 287.0]], ('Walmart', 0.9782367944717407)], [[[330.0, 315.0], [1684.0, 358.0], [1680.0, 474.0], [326.0, 431.0]], ('Save money.Live better.', 0.97328782081604)], [[[801.0, 472.0], [1649.0, 487.0], [1647.0, 568.0], [799.0, 554.0]], ('419425-2186', 0.9801135659217834)], [[[641.0, 557.0], [1732.0, 578.0], [1731.0, 660.0], [639.0, 639.0]], ('MANAGER ANTHONY KARCHER', 0.9477212429046631)], [[[853.0, 652.0], [1603.0, 663.0], [1602.0, 745.0], [852.0, 734.0]], ('1161 TRENTON AUE', 0.9342581629753113)], [[[849.0, 744.0], [1600.0, 752.0], [1599.0, 823.0], [848.0, 816.0]], ('FIN0LAY OH 45840', 0.8503732681274414)], [[[279.0, 805.0], [2066.0, 827.0], [2065.0, 929.0], [278.0, 907.0]], ('ST#03840 0PW 002636TEW03 TR 01929', 0.8679769039154053)], [[[284.0, 900.0], [728.0, 915.0], [725.0, 1000.0], [281.0, 985.0]], ('CORN CHEX', 0.9268881678581238)], [[[950.0, 925.0], [1614.0, 928.0], [1613.0, 1000.0], [949.0, 996.0]], ('001600048796 X', 0.94720458984375)], [[[1888.0, 925.0], [2184.0, 925.0], [2184.0, 1010.0], [1888.0, 1010.0]], ('3.180', 0.9939334988594055)], [[[280.0, 992.0], [818.0, 1007.0], [816.0, 1089.0], [277.0, 1074.0]], ('RICE KRISPY', 0.9512040615081787)], [[[949.0, 1017.0], [1613.0, 1017.0], [1613.0, 1085.0], [949.0, 1085.0]], ('003800031846 X', 0.9273754358291626)], [[[1888.0, 1013.0], [2180.0, 1013.0], [2180.0, 1098.0], [1888.0, 1098.0]], ('2.980', 0.9805649518966675)], [[[280.0, 1080.0], [762.0, 1096.0], [760.0, 1177.0], [277.0, 1162.0]], ('KIX CEREAL', 0.9697896838188171)], [[[943.0, 1091.0], [1617.0, 1098.0], [1616.0, 1180.0], [942.0, 1173.0]], ('001600027567 X', 0.9482185244560242)], [[[1886.0, 1094.0], [2181.0, 1102.0], [2179.0, 1187.0], [1884.0, 1179.0]], ('2.980', 0.9696680307388306)], [[[283.0, 1169.0], [769.0, 1184.0], [767.0, 1266.0], [281.0, 1250.0]], ('SU FF HILK', 0.8415266871452332)], [[[949.0, 1190.0], [1613.0, 1190.0], [1613.0, 1261.0], [949.0, 1261.0]], ('007874235189 X', 0.9235596060752869)], [[[1888.0, 1190.0], [2180.0, 1190.0], [2180.0, 1275.0], [1888.0, 1275.0]], ('2.720', 0.9941018223762512)], [[[280.0, 1261.0], [769.0, 1272.0], [767.0, 1354.0], [278.0, 1342.0]], ('GU FF MILK', 0.8774576187133789)], [[[946.0, 1268.0], [1610.0, 1275.0], [1609.0, 1357.0], [946.0, 1350.0]], ('007874235109 X', 0.9100602865219116)], [[[1888.0, 1278.0], [2180.0, 1278.0], [2180.0, 1363.0], [1888.0, 1363.0]], ('2.720', 0.9944265484809875)], [[[279.0, 1356.0], [873.0, 1364.0], [872.0, 1442.0], [278.0, 1434.0]], ('GU ALM UNSUN', 0.8692662715911865)], [[[1883.0, 1359.0], [2181.0, 1367.0], [2178.0, 1456.0], [1880.0, 1448.0]], ('2.570', 0.9827658534049988)], [[[908.0, 1370.0], [1575.0, 1370.0], [1575.0, 1442.0], [908.0, 1442.0]], ('007874205234 F', 0.9526471495628357)], [[[279.0, 1445.0], [807.0, 1452.0], [806.0, 1534.0], [278.0, 1526.0]], ('DAIRYREDUCT', 0.9506498575210571)], [[[946.0, 1462.0], [1606.0, 1462.0], [1606.0, 1530.0], [946.0, 1530.0]], ('025105000127F', 0.9864810705184937)], [[[1888.0, 1459.0], [2177.0, 1459.0], [2177.0, 1544.0], [1888.0, 1544.0]], ('1.270', 0.9934819340705872)], [[[276.0, 1536.0], [807.0, 1544.0], [806.0, 1626.0], [274.0, 1618.0]], ('DAIRYREDUCY', 0.9503474831581116)], [[[946.0, 1550.0], [1603.0, 1550.0], [1603.0, 1622.0], [946.0, 1622.0]], ('025105000127F', 0.9881761074066162)], [[[1888.0, 1547.0], [2177.0, 1547.0], [2177.0, 1632.0], [1888.0, 1632.0]], ('1.270', 0.9905264973640442)], [[[282.0, 1635.0], [803.0, 1635.0], [803.0, 1707.0], [282.0, 1707.0]], ('DAIRYREOUCT', 0.9076295495033264)], [[[939.0, 1639.0], [1596.0, 1639.0], [1596.0, 1710.0], [939.0, 1710.0]], ('0251050001277', 0.941010594367981)], [[[1885.0, 1635.0], [2177.0, 1635.0], [2177.0, 1720.0], [1885.0, 1720.0]], ('1.270', 0.995882511138916)], [[[278.0, 1727.0], [855.0, 1727.0], [855.0, 1799.0], [278.0, 1799.0]], ('CELERY STALK', 0.9096736311912537)], [[[1881.0, 1720.0], [2180.0, 1720.0], [2180.0, 1816.0], [1881.0, 1816.0]], ('1.48N', 0.8794289827346802)], [[[911.0, 1731.0], [1582.0, 1731.0], [1582.0, 1799.0], [911.0, 1799.0]], ('0033383653221', 0.9517653584480286)], [[[275.0, 1812.0], [810.0, 1812.0], [810.0, 1894.0], [275.0, 1894.0]], ('LB UHT CORM', 0.8197250366210938)], [[[939.0, 1819.0], [1603.0, 1819.0], [1603.0, 1890.0], [939.0, 1890.0]], ('002733100038 F', 0.9440159797668457)], [[[1881.0, 1816.0], [2173.0, 1816.0], [2173.0, 1897.0], [1881.0, 1897.0]], ('3.380', 0.9666787981987)], [[[271.0, 1897.0], [716.0, 1897.0], [716.0, 1979.0], [271.0, 1979.0]], ('MOTTS JCE', 0.9064781665802002)], [[[1874.0, 1897.0], [2177.0, 1897.0], [2177.0, 1992.0], [1874.0, 1992.0]], ('2.48N', 0.9586418271064758)], [[[942.0, 1907.0], [1610.0, 1907.0], [1610.0, 1979.0], [942.0, 1979.0]], ('001480000034 X', 0.9403086304664612)], [[[271.0, 1992.0], [758.0, 1992.0], [758.0, 2074.0], [271.0, 2074.0]], ('NORTH BEAN', 0.9584344029426575)], [[[936.0, 1985.0], [1610.0, 1993.0], [1609.0, 2074.0], [935.0, 2067.0]], ('003940001782 X', 0.9535284638404846)], [[[1878.0, 1989.0], [2173.0, 1989.0], [2173.0, 2074.0], [1878.0, 2074.0]], ('0.920', 0.9958548545837402)], [[[1871.0, 2074.0], [2177.0, 2074.0], [2177.0, 2169.0], [1871.0, 2169.0]], ('0.920', 0.9937389492988586)], [[[268.0, 2084.0], [716.0, 2084.0], [716.0, 2166.0], [268.0, 2166.0]], ('NAUY BEAN', 0.9622933268547058)], [[[939.0, 2084.0], [1610.0, 2088.0], [1610.0, 2159.0], [939.0, 2155.0]], ('003940001774 X', 0.939177930355072)], [[[264.0, 2176.0], [757.0, 2169.0], [758.0, 2250.0], [265.0, 2258.0]], ('NORTH BEAN', 0.9644173383712769)], [[[942.0, 2176.0], [1606.0, 2176.0], [1606.0, 2247.0], [942.0, 2247.0]], ('003940001782 X', 0.9247577786445618)], [[[1878.0, 2169.0], [2173.0, 2169.0], [2173.0, 2254.0], [1878.0, 2254.0]], ('0.920', 0.9943312406539917)], [[[1878.0, 2258.0], [2173.0, 2258.0], [2173.0, 2343.0], [1878.0, 2343.0]], ('0.920', 0.9934054613113403)], [[[260.0, 2268.0], [708.0, 2261.0], [710.0, 2342.0], [262.0, 2350.0]], ('NAVY BEAN', 0.8815412521362305)], [[[939.0, 2268.0], [1600.0, 2268.0], [1600.0, 2339.0], [939.0, 2339.0]], ('003940001774 X', 0.9423595070838928)], [[[1836.0, 2349.0], [2173.0, 2349.0], [2173.0, 2431.0], [1836.0, 2431.0]], ('13.970', 0.9975655674934387)], [[[264.0, 2363.0], [1568.0, 2349.0], [1569.0, 2431.0], [265.0, 2445.0]], ('GU SHRFIESTA 007874204978 F', 0.8905051946640015)], [[[1189.0, 2441.0], [1561.0, 2441.0], [1561.0, 2523.0], [1189.0, 2523.0]], ('SUBTOTAL', 0.9820192456245422)], [[[1833.0, 2438.0], [2072.0, 2438.0], [2072.0, 2523.0], [1833.0, 2523.0]], ('45.95', 0.99541175365448)], [[[1328.0, 2533.0], [1568.0, 2533.0], [1568.0, 2618.0], [1328.0, 2618.0]], ('TOTAL', 0.9982637166976929)], [[[1836.0, 2526.0], [2072.0, 2526.0], [2072.0, 2611.0], [1836.0, 2611.0]], ('45.95', 0.9967233538627625)], [[[1071.0, 2618.0], [1262.0, 2618.0], [1262.0, 2710.0], [1071.0, 2710.0]], ('WIC', 0.7766487002372742)], [[[1377.0, 2621.0], [1579.0, 2621.0], [1579.0, 2710.0], [1377.0, 2710.0]], ('TEND', 0.988111138343811)], [[[1833.0, 2618.0], [2072.0, 2618.0], [2072.0, 2703.0], [1833.0, 2703.0]], ('20.74', 0.9958621859550476)], [[[1071.0, 2714.0], [1578.0, 2706.0], [1579.0, 2801.0], [1072.0, 2809.0]], ('CASH TEND', 0.93440842628479)], [[[1833.0, 2706.0], [2069.0, 2706.0], [2069.0, 2795.0], [1833.0, 2795.0]], ('25.21', 0.9965173602104187)], [[[1878.0, 2798.0], [2076.0, 2798.0], [2076.0, 2887.0], [1878.0, 2887.0]], ('0.00', 0.9867544770240784)], [[[1078.0, 2812.0], [1557.0, 2805.0], [1558.0, 2890.0], [1079.0, 2897.0]], ('CHANGE DUE', 0.9711683988571167)], [[[455.0, 3013.0], [1886.0, 2988.0], [1889.0, 3127.0], [457.0, 3153.0]], ('#ITEMS SOLD17', 0.9582744240760803)]]	{"store_name": "Walmart", "store_addr": "1161TRENTOHAVE FIHDLAYOH45840", "telephone": "(419)425-2186", "date": "", "time": "", "subtotal": "45.95", "tax": "", "total": "45.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CORHCHEX", "item_value": "3.18", "item_quantity": "1"}, {"item_key": "", "item_name": "RICEKRISPY", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "KIXCEREAL", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "GVFFHILK", "item_value": "2.72", "item_quantity": "1"}, {"item_key": "", "item_name": "GVFFMILK", "item_value": "2.72", "item_quantity": "1"}, {"item_key": "", "item_name": "GVALMUNSVN", "item_value": "2.57", "item_quantity": "1"}, {"item_key": "", "item_name": "DAIRYREDUCT", "item_value": "1.27", "item_quantity": "1"}, {"item_key": "", "item_name": "DAIRYREDUCT", "item_value": "1.27", "item_quantity": "1"}, {"item_key": "", "item_name": "DAIRYREDUCT", "item_value": "1.27", "item_quantity": "1"}, {"item_key": "", "item_name": "CELERYSYALK", "item_value": "1.48", "item_quantity": "1"}, {"item_key": "", "item_name": "LBWHTCORM", "item_value": "3.38", "item_quantity": "1"}, {"item_key": "", "item_name": "MOTTSJCE", "item_value": "2.48", "item_quantity": "1"}, {"item_key": "", "item_name": "NORTHBEAN", "item_value": "0.92", "item_quantity": "1"}, {"item_key": "", "item_name": "NAVYBEAN", "item_value": "0.92", "item_quantity": "1"}, {"item_key": "", "item_name": "NORTHBEAN", "item_value": "0.92", "item_quantity": "1"}, {"item_key": "", "item_name": "NAVYBEAN", "item_value": "0.92", "item_quantity": "1"}, {"item_key": "", "item_name": "GVSHRFIESTA", "item_value": "13.97", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[479.0, 195.0], [687.0, 195.0], [687.0, 260.0], [479.0, 260.0]], ("Sam's", 0.9223073720932007)], [[[524.0, 258.0], [645.0, 262.0], [644.0, 292.0], [523.0, 288.0]], ('CIUB', 0.8952162265777588)], [[[317.0, 402.0], [778.0, 427.0], [775.0, 481.0], [314.0, 456.0]], ('Self Checkout', 0.9621143937110901)], [[[290.0, 469.0], [798.0, 501.0], [796.0, 536.0], [287.0, 504.0]], ('CLUB HANAGER CHRISTINE PATKE', 0.9633011221885681)], [[[385.0, 508.0], [717.0, 531.0], [714.0, 564.0], [383.0, 541.0]], ('210641-4810', 0.9670891165733337)], [[[401.0, 541.0], [681.0, 563.0], [678.0, 596.0], [398.0, 574.0]], ('SAN ANTONIO,TX', 0.9283867478370667)], [[[377.0, 573.0], [712.0, 597.0], [709.0, 632.0], [374.0, 608.0]], ('Visit SansClub.con', 0.933283805847168)], [[[179.0, 594.0], [705.0, 629.0], [702.0, 662.0], [177.0, 628.0]], ('10/07/1314:2128566262 090', 0.9690499901771545)], [[[839.0, 632.0], [915.0, 632.0], [915.0, 670.0], [839.0, 670.0]], ('9090', 0.9975670576095581)], [[[167.0, 656.0], [654.0, 686.0], [651.0, 721.0], [165.0, 691.0]], ('UMEHBER101-*******6997', 0.9235374331474304)], [[[158.0, 721.0], [536.0, 736.0], [534.0, 794.0], [156.0, 779.0]], ('THANK YOU,', 0.9573135375976562)], [[[145.0, 803.0], [391.0, 807.0], [390.0, 842.0], [145.0, 838.0]], ('WILLIAM RORK', 0.9522826671600342)], [[[159.0, 877.0], [182.0, 881.0], [176.0, 916.0], [154.0, 913.0]], ('E', 0.7589221596717834)], [[[222.0, 878.0], [609.0, 882.0], [608.0, 917.0], [221.0, 913.0]], ('690415 NTR6RN32UARF', 0.9159970283508301)], [[[816.0, 890.0], [919.0, 890.0], [919.0, 925.0], [816.0, 925.0]], ('8.70', 0.8433470726013184)], [[[917.0, 895.0], [938.0, 895.0], [938.0, 920.0], [917.0, 920.0]], ('H', 0.6631731986999512)], [[[154.0, 911.0], [178.0, 913.0], [173.0, 959.0], [149.0, 957.0]], ('E', 0.6821447610855103)], [[[218.0, 917.0], [609.0, 918.0], [608.0, 953.0], [218.0, 952.0]], ('516087 NUTELA35.30F', 0.9561936259269714)], [[[816.0, 926.0], [909.0, 921.0], [911.0, 958.0], [818.0, 962.0]], ('6.65', 0.9941585063934326)], [[[153.0, 949.0], [173.0, 952.0], [166.0, 994.0], [146.0, 991.0]], ('E', 0.7240567803382874)], [[[217.0, 953.0], [609.0, 955.0], [608.0, 990.0], [216.0, 988.0]], ('909303 E060WAFFLESF', 0.8905838131904602)], [[[822.0, 960.0], [910.0, 960.0], [910.0, 995.0], [822.0, 995.0]], ('9.98', 0.9928246140480042)], [[[147.0, 989.0], [168.0, 992.0], [161.0, 1038.0], [141.0, 1035.0]], ('E', 0.7248396277427673)], [[[213.0, 990.0], [607.0, 993.0], [607.0, 1032.0], [213.0, 1028.0]], ('887268 ALMOND HILKF', 0.9120638966560364)], [[[825.0, 997.0], [914.0, 997.0], [914.0, 1033.0], [825.0, 1033.0]], ('7.98', 0.995480477809906)], [[[210.0, 1032.0], [605.0, 1033.0], [605.0, 1068.0], [210.0, 1067.0]], ('738199 Z00ANIMALCRF', 0.9145687222480774)], [[[827.0, 1035.0], [917.0, 1035.0], [917.0, 1072.0], [827.0, 1072.0]], ('7.98', 0.9939662218093872)], [[[931.0, 1043.0], [948.0, 1043.0], [948.0, 1068.0], [931.0, 1068.0]], ('H', 0.7995918989181519)], [[[228.0, 1073.0], [605.0, 1073.0], [605.0, 1108.0], [228.0, 1108.0]], ('11116 0LIVE OIL 2F', 0.8623301982879639)], [[[810.0, 1075.0], [914.0, 1075.0], [914.0, 1112.0], [810.0, 1112.0]], ('13.48', 0.9838979840278625)], [[[205.0, 1113.0], [602.0, 1113.0], [602.0, 1147.0], [205.0, 1147.0]], ('899806 CH 16CT HAMF', 0.8984248638153076)], [[[823.0, 1110.0], [957.0, 1114.0], [955.0, 1157.0], [821.0, 1153.0]], ('2.56N', 0.920454204082489)], [[[128.0, 1150.0], [153.0, 1150.0], [153.0, 1195.0], [128.0, 1195.0]], ('E', 0.8382084369659424)], [[[203.0, 1155.0], [603.0, 1155.0], [603.0, 1188.0], [203.0, 1188.0]], ('725872 B/SCKI BRSF', 0.86790531873703)], [[[807.0, 1151.0], [958.0, 1155.0], [957.0, 1199.0], [806.0, 1195.0]], ('17.58N', 0.9202029705047607)], [[[125.0, 1192.0], [153.0, 1196.0], [147.0, 1235.0], [120.0, 1231.0]], ('E', 0.9947624802589417)], [[[199.0, 1198.0], [602.0, 1198.0], [602.0, 1232.0], [199.0, 1232.0]], ('173634 0RND TURKEYF', 0.8812896609306335)], [[[808.0, 1197.0], [939.0, 1197.0], [939.0, 1238.0], [808.0, 1238.0]], ('12.95', 0.9965405464172363)], [[[193.0, 1240.0], [583.0, 1240.0], [583.0, 1275.0], [193.0, 1275.0]], ('239220 9I6SEXY 100', 0.8786410689353943)], [[[811.0, 1242.0], [927.0, 1242.0], [927.0, 1278.0], [811.0, 1278.0]], ('11.98', 0.9875212907791138)], [[[112.0, 1277.0], [139.0, 1281.0], [134.0, 1319.0], [106.0, 1316.0]], ('E', 0.9936574101448059)], [[[208.0, 1283.0], [603.0, 1283.0], [603.0, 1318.0], [208.0, 1318.0]], ('14183DP 32PACK F', 0.9118087291717529)], [[[830.0, 1280.0], [970.0, 1280.0], [970.0, 1327.0], [830.0, 1327.0]], ('7.98 T', 0.8641140460968018)], [[[506.0, 1325.0], [684.0, 1325.0], [684.0, 1365.0], [506.0, 1365.0]], ('SUBTOTAL', 0.9956269264221191)], [[[791.0, 1327.0], [922.0, 1327.0], [922.0, 1368.0], [791.0, 1368.0]], ('107.90', 0.9983413219451904)], [[[288.0, 1365.0], [412.0, 1365.0], [412.0, 1413.0], [288.0, 1413.0]], ('TAX 1', 0.9076406359672546)], [[[479.0, 1370.0], [641.0, 1370.0], [641.0, 1412.0], [479.0, 1412.0]], ('8.250%', 0.8834934830665588)], [[[832.0, 1370.0], [926.0, 1370.0], [926.0, 1415.0], [832.0, 1415.0]], ('1.65', 0.9974155426025391)], [[[573.0, 1413.0], [684.0, 1413.0], [684.0, 1457.0], [573.0, 1457.0]], ('TOTAL', 0.998245358467102)], [[[788.0, 1413.0], [924.0, 1413.0], [924.0, 1460.0], [788.0, 1460.0]], ('109.55', 0.9956668019294739)], [[[426.0, 1457.0], [687.0, 1457.0], [687.0, 1502.0], [426.0, 1502.0]], ('DEBITTEND', 0.9916682839393616)], [[[789.0, 1458.0], [922.0, 1458.0], [922.0, 1500.0], [789.0, 1500.0]], ('109.55', 0.998267412185669)], [[[446.0, 1504.0], [678.0, 1498.0], [679.0, 1543.0], [447.0, 1549.0]], ('CHANGE DUE', 0.960065484046936)], [[[824.0, 1499.0], [919.0, 1494.0], [921.0, 1538.0], [827.0, 1542.0]], ('0.00', 0.9984384775161743)]]	{"store_name": "Sam's CLUB", "store_addr": "SANANTONIO,TX VisitSamsClub.com", "telephone": "(210)641-4810", "date": "10/07/13", "time": "14:21", "subtotal": "107.90", "tax": "1.65", "total": "109.55", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "NTRGRN32VARF", "item_value": "8.78", "item_quantity": "1"}, {"item_key": "", "item_name": "NUTELA35.30F", "item_value": "6.65", "item_quantity": "1"}, {"item_key": "", "item_name": "EGGOWAFFLESF", "item_value": "9.98", "item_quantity": "1"}, {"item_key": "", "item_name": "ALMONDMILKF", "item_value": "7.98", "item_quantity": "1"}, {"item_key": "", "item_name": "ZOOANIMALCRF", "item_value": "7..98", "item_quantity": "1"}, {"item_key": "", "item_name": "OLIVEOIL2F", "item_value": "13.48", "item_quantity": "1"}, {"item_key": "", "item_name": "CH16CTHAMF", "item_value": "2.56", "item_quantity": "1"}, {"item_key": "", "item_name": "B/SCKIBRSF", "item_value": "17.58", "item_quantity": "1"}, {"item_key": "", "item_name": "GRNDTURKEYF", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BIGSEXY100", "item_value": "11.98", "item_quantity": "1"}, {"item_key": "", "item_name": "DP32PACKF", "item_value": "7.98", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[83.0, 186.0], [217.0, 184.0], [217.0, 224.0], [84.0, 227.0]], ('Rroger', 0.979642927646637)], [[[3.0, 286.0], [331.0, 270.0], [333.0, 301.0], [4.0, 316.0]], ('Right Store.Right Price.', 0.9397136569023132)], [[[39.0, 362.0], [172.0, 356.0], [173.0, 374.0], [40.0, 381.0]], ('6652 Youree Dr', 0.9407970309257507)], [[[39.0, 382.0], [175.0, 374.0], [176.0, 392.0], [40.0, 400.0]], ('318795-9944', 0.9901317358016968)], [[[41.0, 401.0], [233.0, 391.0], [234.0, 409.0], [42.0, 419.0]], ('YOUR CASHIER WAS AMY', 0.9510564804077148)], [[[300.0, 426.0], [361.0, 423.0], [363.0, 442.0], [301.0, 446.0]], ('2.49B', 0.984718918800354)], [[[71.0, 438.0], [188.0, 432.0], [189.0, 451.0], [72.0, 456.0]], ('FRI GNGR ORG', 0.930224597454071)], [[[301.0, 446.0], [363.0, 442.0], [365.0, 461.0], [302.0, 464.0]], ('1.99B', 0.9542196393013)], [[[72.0, 457.0], [179.0, 452.0], [180.0, 469.0], [73.0, 475.0]], ('ROMAINE ORG', 0.9747621417045593)], [[[302.0, 464.0], [364.0, 462.0], [364.0, 480.0], [303.0, 483.0]], ('1.19B', 0.9811332821846008)], [[[72.0, 475.0], [142.0, 472.0], [142.0, 491.0], [72.0, 493.0]], ('KRO BNS', 0.9394026398658752)], [[[304.0, 484.0], [366.0, 484.0], [366.0, 502.0], [304.0, 502.0]], ('2.59B', 0.988163948059082)], [[[73.0, 495.0], [191.0, 490.0], [192.0, 508.0], [74.0, 514.0]], ('MISF TORTLLA', 0.9527482986450195)], [[[248.0, 505.0], [271.0, 505.0], [271.0, 523.0], [248.0, 523.0]], ('PC', 0.986857533454895)], [[[303.0, 503.0], [367.0, 501.0], [368.0, 520.0], [304.0, 522.0]], ('3.00B', 0.9890053868293762)], [[[74.0, 514.0], [189.0, 509.0], [190.0, 528.0], [75.0, 532.0]], ('MNMU PORTABL', 0.9618729948997498)], [[[248.0, 525.0], [290.0, 525.0], [290.0, 544.0], [248.0, 544.0]], ("66'0", 0.9106954336166382)], [[[2.0, 538.0], [211.0, 528.0], [212.0, 545.0], [3.0, 556.0]], ('SC 3695 KR0GER SAVINGS', 0.9329157471656799)], [[[250.0, 545.0], [274.0, 545.0], [274.0, 563.0], [250.0, 563.0]], ('PC', 0.9892979860305786)], [[[305.0, 543.0], [368.0, 539.0], [369.0, 558.0], [306.0, 561.0]], ('3.00B', 0.9919203519821167)], [[[75.0, 554.0], [190.0, 547.0], [191.0, 565.0], [76.0, 572.0]], ('MNMU PORTABL', 0.9462421536445618)], [[[249.0, 564.0], [291.0, 562.0], [293.0, 581.0], [250.0, 584.0]], ('0.99', 0.9975700974464417)], [[[2.0, 576.0], [214.0, 565.0], [215.0, 585.0], [3.0, 596.0]], ('SC 3695 KR0GER SAVINGS', 0.9227540493011475)], [[[79.0, 591.0], [185.0, 586.0], [185.0, 605.0], [80.0, 610.0]], ('KRO OLV OIL', 0.9176831841468811)], [[[307.0, 582.0], [369.0, 577.0], [371.0, 596.0], [309.0, 600.0]], ('2.59B', 0.9775744676589966)], [[[309.0, 598.0], [371.0, 596.0], [372.0, 617.0], [310.0, 620.0]], ('2.59B', 0.9887405633926392)], [[[79.0, 610.0], [196.0, 605.0], [197.0, 624.0], [80.0, 629.0]], ('MISF TORTLLA', 0.9622713923454285)], [[[309.0, 619.0], [372.0, 616.0], [373.0, 635.0], [310.0, 637.0]], ('1.19B', 0.9769245982170105)], [[[80.0, 629.0], [151.0, 627.0], [151.0, 645.0], [81.0, 648.0]], ('KRO BNS', 0.9412010312080383)], [[[310.0, 638.0], [373.0, 635.0], [374.0, 653.0], [311.0, 657.0]], ('2.19B', 0.9866434335708618)], [[[81.0, 649.0], [198.0, 643.0], [199.0, 661.0], [82.0, 666.0]], ('KRO CHLI PWD', 0.9345701336860657)], [[[311.0, 657.0], [375.0, 653.0], [376.0, 673.0], [313.0, 676.0]], ('2.29B', 0.979997456073761)], [[[81.0, 668.0], [199.0, 663.0], [200.0, 680.0], [82.0, 686.0]], ('PS CORIANDR', 0.9671024680137634)], [[[15.0, 690.0], [191.0, 682.0], [192.0, 700.0], [16.0, 707.0]], ('1.3316@1.39/1b', 0.9364132285118103)], [[[314.0, 694.0], [376.0, 691.0], [377.0, 713.0], [314.0, 715.0]], ('1.85B', 0.9866180419921875)], [[[10.0, 710.0], [33.0, 710.0], [33.0, 728.0], [10.0, 728.0]], ('WT', 0.9925678968429565)], [[[84.0, 707.0], [182.0, 702.0], [183.0, 719.0], [85.0, 725.0]], ('ONIONS ORG', 0.9736944437026978)], [[[17.0, 729.0], [97.0, 724.0], [98.0, 743.0], [18.0, 747.0]], ('30.89', 0.9935780763626099)], [[[316.0, 733.0], [378.0, 732.0], [379.0, 751.0], [316.0, 752.0]], ('2.67B', 0.9874449968338013)], [[[86.0, 745.0], [203.0, 740.0], [204.0, 757.0], [87.0, 763.0]], ('HAAS AVOCADO', 0.9571333527565002)], [[[317.0, 754.0], [378.0, 750.0], [379.0, 770.0], [318.0, 773.0]], ('1.99B', 0.978374183177948)], [[[87.0, 764.0], [204.0, 759.0], [205.0, 777.0], [88.0, 781.0]], ('PPR BELL RED', 0.920127809047699)], [[[318.0, 772.0], [380.0, 771.0], [381.0, 790.0], [318.0, 792.0]], ('2.29B', 0.9830502271652222)], [[[88.0, 783.0], [196.0, 779.0], [197.0, 796.0], [89.0, 801.0]], ('PPR YLW ORG', 0.9137117862701416)], [[[260.0, 795.0], [284.0, 792.0], [287.0, 810.0], [263.0, 814.0]], ('PC', 0.9934297800064087)], [[[319.0, 792.0], [381.0, 789.0], [382.0, 809.0], [319.0, 811.0]], ('0.88B', 0.8722368478775024)], [[[89.0, 803.0], [204.0, 797.0], [205.0, 815.0], [90.0, 821.0]], ('LETTUCE LEAF', 0.9581621289253235)], [[[262.0, 814.0], [304.0, 814.0], [304.0, 834.0], [262.0, 834.0]], ('0.71', 0.9947034120559692)], [[[15.0, 827.0], [226.0, 817.0], [227.0, 834.0], [16.0, 844.0]], ('SC 3175 KROGER SAVINGS', 0.9150536060333252)], [[[22.0, 844.0], [198.0, 836.0], [199.0, 855.0], [23.0, 863.0]], ('0.691b3.99/1b', 0.948552668094635)], [[[323.0, 848.0], [384.0, 848.0], [384.0, 867.0], [323.0, 867.0]], ('2.75B', 0.964135468006134)], [[[16.0, 863.0], [38.0, 863.0], [38.0, 882.0], [16.0, 882.0]], ('WT', 0.9946907758712769)], [[[92.0, 860.0], [190.0, 855.0], [191.0, 874.0], [93.0, 878.0]], ('TOMATO ORG', 0.9620547294616699)], [[[322.0, 869.0], [385.0, 866.0], [386.0, 885.0], [323.0, 887.0]], ('0.99B', 0.9762263298034668)], [[[94.0, 879.0], [210.0, 875.0], [211.0, 892.0], [95.0, 897.0]], ('CILANTRO ORG', 0.9688844680786133)], [[[324.0, 886.0], [386.0, 885.0], [386.0, 905.0], [324.0, 906.0]], ('3.99B', 0.9754071235656738)], [[[94.0, 899.0], [210.0, 893.0], [211.0, 911.0], [95.0, 916.0]], ('PS ORG BAY L', 0.9200804829597473)], [[[279.0, 909.0], [385.0, 904.0], [386.0, 922.0], [279.0, 926.0]], ('*****2933', 0.8223968148231506)], [[[29.0, 920.0], [222.0, 912.0], [222.0, 929.0], [29.0, 938.0]], ('KROGER PLUS CUSTOMER', 0.9555922746658325)], [[[324.0, 925.0], [368.0, 923.0], [369.0, 943.0], [325.0, 945.0]], ('1.96', 0.9922425150871277)], [[[97.0, 936.0], [134.0, 936.0], [134.0, 955.0], [97.0, 955.0]], ('TAX', 0.9954841732978821)], [[[320.0, 945.0], [369.0, 945.0], [369.0, 964.0], [320.0, 964.0]], ('44.48', 0.9867655634880066)], [[[48.0, 959.0], [167.0, 951.0], [168.0, 971.0], [49.0, 979.0]], ('** BALANCE', 0.8813008666038513)]]	{"store_name": "Kroger", "store_addr": "6652YoureeDr", "telephone": "(318)795-9944", "date": "", "time": "", "subtotal": "", "tax": "1.96", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FRIGNGRORG", "item_value": "2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "ROMAINEORG", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "KROBNS", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "MISFTORTLLA", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "MNMUPORTABL", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MNMUPORTABL", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KROOLVOIL", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "MISFTORTLLA", "item_value": "2.59", "item_quantity": "1"}, {"item_key": "", "item_name": "KROBNS", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "KROCHLIPWD", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "PSCORIANDR", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "ONIONSORG", "item_value": "1.85", "item_quantity": "1"}, {"item_key": "", "item_name": "HAASAVOCADO", "item_value": "2.67", "item_quantity": "1"}, {"item_key": "", "item_name": "PPRBELLRED", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PPRYLWORG", "item_value": "2.29", "item_quantity": "1"}, {"item_key": "", "item_name": "LETTUCELEAF", "item_value": "0.88", "item_quantity": "1"}, {"item_key": "", "item_name": "TOMATOORG", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "CILANTROORG", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PSORGBAYL", "item_value": "3.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[101.0, 8.0], [250.0, 10.0], [250.0, 24.0], [101.0, 22.0]], ('16535 Southwest Freeway', 0.9467216730117798)], [[[113.0, 27.0], [230.0, 27.0], [230.0, 41.0], [113.0, 41.0]], ('Susarland TX77479', 0.9059802293777466)], [[[130.0, 44.0], [210.0, 44.0], [210.0, 58.0], [130.0, 58.0]], ('281-277-6947', 0.9917328953742981)], [[[13.0, 87.0], [40.0, 90.0], [38.0, 107.0], [11.0, 104.0]], ('Reg', 0.9829614758491516)], [[[68.0, 90.0], [106.0, 94.0], [105.0, 112.0], [66.0, 108.0]], ('Trans', 0.9930938482284546)], [[[135.0, 95.0], [198.0, 97.0], [197.0, 112.0], [134.0, 110.0]], ('Date/Time', 0.9793140888214111)], [[[281.0, 98.0], [331.0, 98.0], [331.0, 114.0], [281.0, 114.0]], ('Cashier', 0.9545687437057495)], [[[13.0, 109.0], [38.0, 109.0], [38.0, 125.0], [13.0, 125.0]], ('003', 0.9978652000427246)], [[[66.0, 112.0], [86.0, 112.0], [86.0, 128.0], [66.0, 128.0]], ('83', 0.9986089468002319)], [[[135.0, 115.0], [242.0, 115.0], [242.0, 129.0], [135.0, 129.0]], ('2016-06-0412:12', 0.9735175967216492)], [[[274.0, 113.0], [333.0, 115.0], [333.0, 132.0], [274.0, 129.0]], ('02154017', 0.9962601661682129)], [[[10.0, 163.0], [181.0, 167.0], [181.0, 184.0], [10.0, 180.0]], ('6228!7496 GRAPHICS $19.95', 0.9304425716400146)], [[[294.0, 167.0], [336.0, 169.0], [335.0, 187.0], [293.0, 185.0]], ('$9.97', 0.9957782626152039)], [[[14.0, 182.0], [147.0, 186.0], [147.0, 202.0], [14.0, 198.0]], ('Iten Discount $9.98', 0.893792986869812)], [[[7.0, 202.0], [241.0, 207.0], [241.0, 221.0], [7.0, 215.0]], ('620030139 P0L0S ANDHENLEYS $14.99', 0.9268430471420288)], [[[287.0, 205.0], [334.0, 208.0], [334.0, 226.0], [286.0, 223.0]], ('$14.99', 0.9474325776100159)], [[[6.0, 221.0], [241.0, 225.0], [241.0, 239.0], [6.0, 235.0]], ('622398228 POL.0S AND HENLEYS $29.95', 0.9001505970954895)], [[[289.0, 227.0], [333.0, 227.0], [333.0, 242.0], [289.0, 242.0]], ('$14.97', 0.955671489238739)], [[[11.0, 241.0], [153.0, 243.0], [153.0, 257.0], [11.0, 255.0]], ('ItemDiscount $14.98', 0.9381881356239319)], [[[2.0, 260.0], [241.0, 262.0], [241.0, 279.0], [2.0, 277.0]], ('622398113 POL0S AND HENLEYS $29.95', 0.9153913855552673)], [[[289.0, 267.0], [333.0, 267.0], [333.0, 282.0], [289.0, 282.0]], ('$14.97', 0.9955149292945862)], [[[10.0, 282.0], [151.0, 282.0], [151.0, 296.0], [10.0, 296.0]], ('Item Dscount $14.98', 0.9332034587860107)], [[[70.0, 321.0], [130.0, 321.0], [130.0, 338.0], [70.0, 338.0]], ('Subtotai', 0.9710475206375122)], [[[288.0, 324.0], [336.0, 327.0], [335.0, 344.0], [287.0, 342.0]], ('$54.90', 0.9853199124336243)]]	{"store_name": "", "store_addr": "16535SouthwestFreeway SugarlandTX77479", "telephone": "281-277-6947", "date": "2016-06-04", "time": "12:12", "subtotal": "$54.90", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "622817496GRAPHICS", "item_value": "$9.97", "item_quantity": "1"}, {"item_key": "", "item_name": "620030139POLOSANDHENLEYS", "item_value": "$14.99", "item_quantity": "1"}, {"item_key": "", "item_name": "622398228POLOSANDHENLEYS", "item_value": "$14.97", "item_quantity": "1"}, {"item_key": "", "item_name": "622398113POLOSANDHENLEYS", "item_value": "$14.97", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[204.0, 90.0], [285.0, 90.0], [285.0, 104.0], [204.0, 104.0]], ('ENAPH', 0.9148833751678467)], [[[136.0, 106.0], [346.0, 102.0], [347.0, 120.0], [136.0, 124.0]], ('TEIKH NOMIMHS ANODEIEHE ', 0.8024747967720032)], [[[163.0, 122.0], [312.0, 121.0], [313.0, 139.0], [163.0, 140.0]], ('TABEPNA ', 0.929865300655365)], [[[170.0, 141.0], [302.0, 137.0], [303.0, 154.0], [170.0, 157.0]], ('HA TQN KYNHTON', 0.7876610159873962)], [[[138.0, 159.0], [335.0, 153.0], [335.0, 170.0], [138.0, 176.0]], ('KOTKO ANAETAIO &IA O.E.', 0.826265811920166)], [[[185.0, 176.0], [291.0, 170.0], [292.0, 187.0], [186.0, 193.0]], ('.BAPH31 BAPH', 0.9374691843986511)], [[[194.0, 193.0], [292.0, 187.0], [293.0, 205.0], [195.0, 210.0]], ('AM:081713686', 0.9482328295707703)], [[[201.0, 209.0], [286.0, 205.0], [286.0, 222.0], [202.0, 227.0]], ('DOY:TAYADAE', 0.7417290210723877)], [[[136.0, 230.0], [266.0, 223.0], [267.0, 240.0], [137.0, 247.0]], ('HMEP 11/05/2012 AP', 0.9422337412834167)], [[[298.0, 222.0], [355.0, 222.0], [355.0, 239.0], [298.0, 239.0]], ('820:30', 0.8229233622550964)], [[[137.0, 263.0], [187.0, 261.0], [188.0, 279.0], [138.0, 282.0]], ('TPANEZI', 0.9051379561424255)], [[[312.0, 256.0], [357.0, 253.0], [358.0, 272.0], [313.0, 274.0]], ('#29', 0.9975340366363525)], [[[137.0, 281.0], [245.0, 277.0], [245.0, 294.0], [138.0, 299.0]], ('YNONO APATTEN', 0.7952396869659424)], [[[341.0, 273.0], [358.0, 273.0], [358.0, 290.0], [341.0, 290.0]], ('#1', 0.9860086441040039)], [[[138.0, 298.0], [183.0, 295.0], [184.0, 314.0], [139.0, 316.0]], ('2.000X', 0.9414064884185791)], [[[247.0, 294.0], [277.0, 294.0], [277.0, 311.0], [247.0, 311.0]], ('0,90', 0.9293111562728882)], [[[141.0, 316.0], [173.0, 316.0], [173.0, 333.0], [141.0, 333.0]], ('IWCh', 0.7122660279273987)], [[[275.0, 310.0], [359.0, 306.0], [360.0, 324.0], [276.0, 327.0]], ('1.8023.00%', 0.925188422203064)], [[[139.0, 332.0], [222.0, 329.0], [223.0, 346.0], [140.0, 350.0]], ('KPAEI 500 ML', 0.8628029823303223)], [[[275.0, 327.0], [360.0, 325.0], [361.0, 342.0], [276.0, 345.0]], ('3.0023.00%', 0.9544906616210938)], [[[139.0, 350.0], [204.0, 346.0], [205.0, 364.0], [140.0, 367.0]], ('XOPIATIKH', 0.9671995639801025)], [[[275.0, 345.0], [361.0, 341.0], [362.0, 360.0], [276.0, 363.0]], ('6,3023.00%', 0.9344693422317505)], [[[142.0, 367.0], [196.0, 367.0], [196.0, 381.0], [142.0, 381.0]], ('TZATZIKI', 0.9774319529533386)], [[[275.0, 362.0], [361.0, 358.0], [362.0, 376.0], [276.0, 379.0]], ('37023.00%', 0.9518360495567322)], [[[138.0, 382.0], [184.0, 380.0], [185.0, 398.0], [139.0, 401.0]], ('2.000X', 0.951089084148407)], [[[249.0, 380.0], [279.0, 380.0], [279.0, 395.0], [249.0, 395.0]], ('2.50', 0.8911643028259277)], [[[141.0, 400.0], [177.0, 400.0], [177.0, 416.0], [141.0, 416.0]], ('XYMOE', 0.9208328127861023)], [[[275.0, 397.0], [362.0, 392.0], [363.0, 409.0], [276.0, 414.0]], ('5.0023.00%', 0.9519915580749512)], [[[141.0, 418.0], [184.0, 418.0], [184.0, 433.0], [141.0, 433.0]], ('0.400X', 0.9698429703712463)], [[[250.0, 415.0], [287.0, 415.0], [287.0, 430.0], [250.0, 430.0]], ('30.00', 0.9526838064193726)], [[[141.0, 434.0], [197.0, 434.0], [197.0, 451.0], [141.0, 451.0]], ('NAIOAKIA', 0.8739640712738037)], [[[268.0, 430.0], [362.0, 428.0], [362.0, 445.0], [269.0, 447.0]], ('12.0023.00%', 0.9037681221961975)], [[[141.0, 452.0], [185.0, 452.0], [185.0, 468.0], [141.0, 468.0]], ('0.400X', 0.9669451713562012)], [[[251.0, 449.0], [288.0, 449.0], [288.0, 465.0], [251.0, 465.0]], ('30,00', 0.9013039469718933)], [[[140.0, 469.0], [220.0, 464.0], [221.0, 482.0], [141.0, 486.0]], ('APNI OYBNA', 0.8673655390739441)], [[[271.0, 464.0], [362.0, 464.0], [362.0, 481.0], [271.0, 481.0]], ('12.0023.00%', 0.9151992797851562)], [[[217.0, 481.0], [273.0, 481.0], [273.0, 498.0], [217.0, 498.0]], ('7.80TEM', 0.981979250907898)], [[[142.0, 516.0], [259.0, 515.0], [259.0, 532.0], [142.0, 533.0]], ('HPQTEOI OT/MOI', 0.9052279591560364)], [[[319.0, 511.0], [363.0, 515.0], [361.0, 534.0], [317.0, 530.0]], ('43,0', 0.7752484679222107)], [[[143.0, 534.0], [187.0, 534.0], [187.0, 549.0], [143.0, 549.0]], ('YNONO', 0.898926854133606)], [[[318.0, 532.0], [361.0, 532.0], [361.0, 550.0], [318.0, 550.0]], ('43,80', 0.8743203282356262)], [[[144.0, 551.0], [235.0, 551.0], [235.0, 566.0], [144.0, 566.0]], ('METPHTA', 0.9961562752723694)], [[[279.0, 551.0], [359.0, 551.0], [359.0, 566.0], [279.0, 566.0]], ('43.80', 0.9885722398757935)], [[[143.0, 565.0], [218.0, 568.0], [217.0, 585.0], [142.0, 583.0]], ('XEIPIETHE1', 0.9253368377685547)], [[[263.0, 568.0], [362.0, 568.0], [362.0, 585.0], [263.0, 585.0]], ('00002400000', 0.9647611379623413)], [[[275.0, 585.0], [361.0, 585.0], [361.0, 602.0], [275.0, 602.0]], ('09000394', 0.9932292699813843)], [[[222.0, 599.0], [294.0, 604.0], [293.0, 621.0], [221.0, 616.0]], ('AHCH*', 0.5761778950691223)], [[[150.0, 617.0], [361.0, 620.0], [361.0, 637.0], [149.0, 635.0]], ('TENIKHE NOMIMH AIIOOEISH', 0.8117354512214661)], [[[195.0, 652.0], [301.0, 654.0], [301.0, 672.0], [194.0, 669.0]], ('TH210-8952445', 0.9917616248130798)], [[[169.0, 669.0], [331.0, 673.0], [331.0, 690.0], [169.0, 687.0]], ('EYXAPITOYME', 0.9953705072402954)]]	{"store_name": "TABEPNA", "store_addr": "", "telephone": "210-8952445", "date": "11/05/2012", "time": "", "subtotal": "", "tax": "", "total": "\u20ac43.80 \u20ac43.80 \u20ac43.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TZATZIKI", "item_value": "\u20ac1.80", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u20ac3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u20ac6.30", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u20ac3.70", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u20ac5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u20ac12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u20ac12.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[600.0, 91.0], [1280.0, 134.0], [1276.0, 198.0], [595.0, 155.0]], ('BROTHERS', 0.9957417845726013)], [[[404.0, 459.0], [555.0, 459.0], [555.0, 529.0], [404.0, 529.0]], ('REG', 0.9966925978660583)], [[[618.0, 468.0], [1348.0, 445.0], [1351.0, 528.0], [621.0, 552.0]], ('02-06-2012 12:54', 0.9502362012863159)], [[[1206.0, 531.0], [1481.0, 509.0], [1487.0, 574.0], [1211.0, 596.0]], ('000047', 0.9978881478309631)], [[[446.0, 691.0], [632.0, 691.0], [632.0, 759.0], [446.0, 759.0]], ('3.05', 0.9988911151885986)], [[[1258.0, 749.0], [1496.0, 736.0], [1500.0, 803.0], [1262.0, 816.0]], ('$1.49', 0.9968069195747375)], [[[536.0, 773.0], [802.0, 766.0], [804.0, 831.0], [537.0, 837.0]], ('BANANA', 0.9967930316925049)], [[[1261.0, 827.0], [1499.0, 814.0], [1503.0, 882.0], [1265.0, 895.0]], ('$5.00', 0.998400092124939)], [[[445.0, 848.0], [846.0, 839.0], [847.0, 904.0], [447.0, 913.0]], ('1 PRODUCE', 0.9473844170570374)], [[[1261.0, 903.0], [1502.0, 893.0], [1505.0, 960.0], [1264.0, 970.0]], ('$0.99', 0.9981492161750793)], [[[431.0, 918.0], [1075.0, 910.0], [1076.0, 974.0], [432.0, 983.0]], ('3 PLANTAIN GRE', 0.9404597282409668)], [[[1264.0, 975.0], [1506.0, 969.0], [1508.0, 1034.0], [1266.0, 1040.0]], ('$2.49', 0.9973536729812622)], [[[522.0, 994.0], [1071.0, 980.0], [1073.0, 1036.0], [524.0, 1051.0]], ('CELERY HEART', 0.966792106628418)], [[[1268.0, 1048.0], [1512.0, 1048.0], [1512.0, 1112.0], [1268.0, 1112.0]], ('$5.99', 0.9987022280693054)], [[[513.0, 1067.0], [1076.0, 1047.0], [1079.0, 1112.0], [516.0, 1132.0]], ('ORG SPRINGMX', 0.9658361077308655)], [[[1267.0, 1124.0], [1520.0, 1117.0], [1521.0, 1185.0], [1269.0, 1191.0]], ('$1.99', 0.9971348643302917)], [[[432.0, 1150.0], [534.0, 1150.0], [534.0, 1202.0], [432.0, 1202.0]], ('1', 0.9635409712791443)], [[[508.0, 1143.0], [1076.0, 1122.0], [1079.0, 1185.0], [510.0, 1205.0]], ('ORG BABYCARR', 0.9672818183898926)], [[[415.0, 1218.0], [613.0, 1218.0], [613.0, 1288.0], [415.0, 1288.0]], ('3.16', 0.9979502558708191)], [[[1279.0, 1272.0], [1532.0, 1272.0], [1532.0, 1336.0], [1279.0, 1336.0]], ('$3.13', 0.9983940124511719)], [[[508.0, 1300.0], [927.0, 1279.0], [931.0, 1344.0], [511.0, 1364.0]], ('SWEET POT', 0.9489282965660095)], [[[1282.0, 1350.0], [1537.0, 1350.0], [1537.0, 1418.0], [1282.0, 1418.0]], ('$1.99', 0.9965003132820129)], [[[497.0, 1381.0], [1026.0, 1357.0], [1029.0, 1422.0], [500.0, 1445.0]], ('CAULIFLOWER', 0.9970884919166565)], [[[1281.0, 1434.0], [1544.0, 1428.0], [1546.0, 1495.0], [1283.0, 1502.0]], ('$1.00', 0.998011589050293)], [[[486.0, 1464.0], [1071.0, 1441.0], [1073.0, 1506.0], [489.0, 1529.0]], ('AVOCADO HASS', 0.9727199077606201)], [[[418.0, 1474.0], [446.0, 1474.0], [446.0, 1515.0], [418.0, 1515.0]], ('1', 0.956707239151001)], [[[1283.0, 1515.0], [1546.0, 1506.0], [1549.0, 1579.0], [1286.0, 1588.0]], ('$1.00', 0.997299075126648)], [[[486.0, 1545.0], [882.0, 1536.0], [883.0, 1601.0], [488.0, 1610.0]], ('CUCUMBER', 0.9961997270584106)], [[[1286.0, 1604.0], [1558.0, 1598.0], [1560.0, 1673.0], [1288.0, 1680.0]], ('$1.99', 0.9977530241012573)], [[[399.0, 1634.0], [448.0, 1634.0], [448.0, 1685.0], [399.0, 1685.0]], ('1', 0.9369492530822754)], [[[481.0, 1629.0], [1077.0, 1614.0], [1079.0, 1679.0], [482.0, 1693.0]], ('ORG BABYCARR', 0.9516394734382629)], [[[1289.0, 1693.0], [1561.0, 1687.0], [1563.0, 1765.0], [1291.0, 1772.0]], ('$1.99', 0.9975956082344055)], [[[385.0, 1717.0], [487.0, 1717.0], [487.0, 1779.0], [385.0, 1779.0]], ('1', 0.9489534497261047)], [[[475.0, 1715.0], [871.0, 1706.0], [872.0, 1771.0], [477.0, 1780.0]], ('BROCCOLI', 0.9955739974975586)], [[[363.0, 1796.0], [929.0, 1790.0], [930.0, 1874.0], [364.0, 1879.0]], ('2 ASPARAGUS', 0.9641717672348022)], [[[1295.0, 1788.0], [1566.0, 1781.0], [1568.0, 1857.0], [1297.0, 1864.0]], ('$3.98', 0.9977550506591797)], [[[363.0, 1887.0], [578.0, 1887.0], [578.0, 1966.0], [363.0, 1966.0]], ('0.14', 0.9972917437553406)], [[[1304.0, 1976.0], [1578.0, 1976.0], [1578.0, 2052.0], [1304.0, 2052.0]], ('$0.28', 0.9974040985107422)], [[[470.0, 1987.0], [1078.0, 1982.0], [1078.0, 2046.0], [471.0, 2052.0]], ('JALAPENO PEP', 0.956744372844696)], [[[363.0, 2071.0], [1086.0, 2076.0], [1086.0, 2149.0], [363.0, 2144.0]], ('1SWEET PEPPER', 0.9702683687210083)], [[[1309.0, 2074.0], [1584.0, 2074.0], [1584.0, 2152.0], [1309.0, 2152.0]], ('$1.99', 0.997852623462677)], [[[352.0, 2168.0], [564.0, 2168.0], [564.0, 2246.0], [352.0, 2246.0]], ('7.72', 0.9914266467094421)], [[[454.0, 2268.0], [1086.0, 2274.0], [1086.0, 2341.0], [454.0, 2335.0]], ('SPAGHETTISQ', 0.9859456419944763)], [[[1312.0, 2271.0], [1592.0, 2271.0], [1592.0, 2349.0], [1312.0, 2349.0]], ('$9.96', 0.9870120882987976)], [[[443.0, 2354.0], [556.0, 2354.0], [556.0, 2444.0], [443.0, 2444.0]], ('TL', 0.9980201125144958)], [[[938.0, 2371.0], [1581.0, 2371.0], [1581.0, 2444.0], [938.0, 2444.0]], ('$45.26', 0.9287315011024475)], [[[441.0, 2457.0], [759.0, 2463.0], [758.0, 2541.0], [440.0, 2535.0]], ('CREDIT', 0.9979221224784851)], [[[1262.0, 2470.0], [1598.0, 2470.0], [1598.0, 2546.0], [1262.0, 2546.0]], ('$45.26', 0.997234582901001)]]	{"store_name": "BROTHERS FARMERSMKT", "store_addr": "", "telephone": "954-585-2225", "date": "02-06-2012", "time": "12:54", "subtotal": "", "tax": "", "total": "$45.26 $45.26", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BANANA", "item_value": "$1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "PRODUCE", "item_value": "$5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PLANTAINGRE", "item_value": "$0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CELERYHEART", "item_value": "$2.49", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGSPRINGMX", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGBABYCARR", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEETPOT", "item_value": "$3.13", "item_quantity": "1"}, {"item_key": "", "item_name": "CAUL IFLOWER", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "AVOCADOHASS", "item_value": "$1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CUCUMBER", "item_value": "$1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ORGBABYCARR", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BROCCOLI", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ASPARAGUS", "item_value": "$3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "JALAPENOPEP", "item_value": "$0.28", "item_quantity": "1"}, {"item_key": "", "item_name": "SWEETPEPPER", "item_value": "$1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SPAGHETTISQ", "item_value": "$9.96", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[33.0, 33.0], [138.0, 20.0], [140.0, 42.0], [35.0, 54.0]], ('Ghodsiess!', 0.6433538794517517)], [[[91.0, 82.0], [145.0, 82.0], [145.0, 96.0], [91.0, 96.0]], ('La Parrdlla', 0.8067858219146729)], [[[74.0, 92.0], [164.0, 93.0], [164.0, 108.0], [74.0, 106.0]], ('Mexican Restaurant', 0.8760027885437012)], [[[58.0, 102.0], [177.0, 105.0], [177.0, 120.0], [58.0, 117.0]], ('5080 Riverstde Dr Ste 340', 0.8972195386886597)], [[[81.0, 116.0], [156.0, 114.0], [156.0, 129.0], [81.0, 130.0]], ('conGA 31210', 0.8292661905288696)], [[[22.0, 134.0], [97.0, 137.0], [97.0, 154.0], [22.0, 152.0]], ('Server:Talesha', 0.8488546013832092)], [[[167.0, 137.0], [219.0, 137.0], [219.0, 151.0], [167.0, 151.0]], ('04/03/2017', 0.9920792579650879)], [[[22.0, 147.0], [74.0, 150.0], [74.0, 164.0], [22.0, 162.0]], ('Table 65/1', 0.8502174615859985)], [[[183.0, 149.0], [219.0, 149.0], [219.0, 160.0], [183.0, 160.0]], ('44PM', 0.8806148767471313)], [[[22.0, 159.0], [69.0, 162.0], [69.0, 176.0], [21.0, 174.0]], ('Guests:1', 0.8814310431480408)], [[[193.0, 160.0], [220.0, 160.0], [220.0, 173.0], [193.0, 173.0]], ('10039', 0.9977594614028931)], [[[22.0, 183.0], [53.0, 183.0], [53.0, 197.0], [22.0, 197.0]], ('QD1p.', 0.7426483631134033)], [[[198.0, 182.0], [219.0, 182.0], [219.0, 194.0], [198.0, 194.0]], ('4.50', 0.971984326839447)], [[[22.0, 195.0], [109.0, 195.0], [109.0, 208.0], [22.0, 208.0]], ('Parri1a Margarita', 0.8916096687316895)], [[[194.0, 194.0], [219.0, 194.0], [219.0, 206.0], [194.0, 206.0]], ('12.99', 0.9845389127731323)], [[[25.0, 206.0], [104.0, 206.0], [104.0, 219.0], [25.0, 219.0]], ('Parra 20Rck', 0.932980477809906)], [[[18.0, 217.0], [141.0, 216.0], [141.0, 230.0], [18.0, 231.0]], ('Parrla Tilapia & Srp', 0.8477047681808472)], [[[193.0, 214.0], [223.0, 216.0], [222.0, 230.0], [191.0, 228.0]], ('15.99', 0.9908362627029419)], [[[15.0, 228.0], [105.0, 229.0], [105.0, 243.0], [15.0, 242.0]], ('Ensenda Fish Taco', 0.9082821011543274)], [[[194.0, 227.0], [222.0, 227.0], [222.0, 242.0], [194.0, 242.0]], ('10.99', 0.9881511926651001)], [[[14.0, 241.0], [104.0, 241.0], [104.0, 254.0], [14.0, 254.0]], ('Ensenda Fish Taco', 0.9341917037963867)], [[[193.0, 239.0], [222.0, 239.0], [222.0, 253.0], [193.0, 253.0]], ('10.99', 0.9861791729927063)], [[[20.0, 264.0], [63.0, 264.0], [63.0, 278.0], [20.0, 278.0]], ('Suototal', 0.8737822771072388)], [[[193.0, 261.0], [224.0, 264.0], [223.0, 278.0], [191.0, 275.0]], ('55.46', 0.957510769367218)], [[[21.0, 277.0], [40.0, 277.0], [40.0, 290.0], [21.0, 290.0]], ('Tax', 0.985440731048584)], [[[197.0, 273.0], [225.0, 276.0], [223.0, 291.0], [195.0, 288.0]], ('3.88', 0.9355119466781616)], [[[19.0, 300.0], [47.0, 300.0], [47.0, 315.0], [19.0, 315.0]], ('Total', 0.917605996131897)], [[[195.0, 298.0], [224.0, 298.0], [224.0, 313.0], [195.0, 313.0]], ('59.34', 0.9864500761032104)], [[[20.0, 324.0], [127.0, 324.0], [127.0, 338.0], [20.0, 338.0]], ('Ba lance Due', 0.9394040107727051)], [[[173.0, 323.0], [224.0, 323.0], [224.0, 338.0], [173.0, 338.0]], ('59.34', 0.9923035502433777)], [[[82.0, 347.0], [147.0, 350.0], [147.0, 364.0], [82.0, 361.0]], ('THANKYOU!', 0.8078487515449524)], [[[66.0, 362.0], [178.0, 363.0], [178.0, 377.0], [66.0, 376.0]], ('We re gtau you enjoyed', 0.8818586468696594)], [[[76.0, 373.0], [170.0, 377.0], [170.0, 391.0], [76.0, 388.0]], ('the friendly taste', 0.9566256403923035)], [[[94.0, 385.0], [148.0, 390.0], [146.0, 404.0], [93.0, 399.0]], ('of Mexico.', 0.8700958490371704)], [[[51.0, 396.0], [188.0, 402.0], [187.0, 419.0], [50.0, 413.0]], ('Please fill out our survey:', 0.9272708892822266)], [[[68.0, 412.0], [174.0, 416.0], [174.0, 430.0], [67.0, 426.0]], ('laparrilla.con/survey', 0.942948043346405)]]	{"store_name": "LaParrilla MexlcanRestaurant", "store_addr": "5080RiversideDrSte340 Mecon,GA31218", "telephone": "", "date": "04/03/2017", "time": "4:40PM", "subtotal": "55.45", "tax": "3.88", "total": "59.34", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "QDip", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Parrilla20Rck", "item_value": "12.99", "item_quantity": "1"}, {"item_key": "", "item_name": "EnsendaFishTaco", "item_value": "15.99", "item_quantity": "1"}, {"item_key": "", "item_name": "EnsendaFishTaco", "item_value": "10.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "10.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[127.0, 42.0], [207.0, 46.0], [206.0, 61.0], [126.0, 56.0]], ('CPrincesa40', 0.9063665866851807)], [[[130.0, 55.0], [203.0, 57.0], [203.0, 71.0], [130.0, 69.0]], ('28008 MADRID', 0.893352746963501)], [[[91.0, 78.0], [141.0, 78.0], [141.0, 92.0], [91.0, 92.0]], ('104JANET', 0.9847797155380249)], [[[83.0, 102.0], [158.0, 104.0], [158.0, 118.0], [83.0, 116.0]], ('Fra 13662', 0.941879153251648)], [[[152.0, 104.0], [254.0, 107.0], [254.0, 121.0], [152.0, 118.0]], ('1214:30C110', 0.8685283660888672)], [[[95.0, 127.0], [181.0, 131.0], [181.0, 145.0], [95.0, 141.0]], ('1Lima&Coco al', 0.8787415027618408)], [[[104.0, 142.0], [143.0, 142.0], [143.0, 156.0], [104.0, 156.0]], ('4.30', 0.9596190452575684)], [[[214.0, 143.0], [239.0, 143.0], [239.0, 158.0], [214.0, 158.0]], ('4,30', 0.9023661017417908)], [[[94.0, 154.0], [186.0, 156.0], [186.0, 170.0], [94.0, 168.0]], ('1 INO/MangoNaranj', 0.9150556921958923)], [[[104.0, 167.0], [144.0, 167.0], [144.0, 181.0], [104.0, 181.0]], ('2.70', 0.8684835433959961)], [[[213.0, 168.0], [239.0, 168.0], [239.0, 183.0], [213.0, 183.0]], ('2.70', 0.9468081593513489)], [[[104.0, 180.0], [150.0, 180.0], [150.0, 194.0], [104.0, 194.0]], ('EFECTIVO', 0.9933539628982544)], [[[210.0, 181.0], [240.0, 181.0], [240.0, 196.0], [210.0, 196.0]], ('20.00', 0.9612496495246887)], [[[105.0, 204.0], [167.0, 206.0], [166.0, 220.0], [104.0, 218.0]], ('TOTAL', 0.9204187393188477)], [[[215.0, 206.0], [241.0, 206.0], [241.0, 221.0], [215.0, 221.0]], ('7,CO', 0.7401906251907349)], [[[104.0, 218.0], [167.0, 218.0], [167.0, 232.0], [104.0, 232.0]], ('TOT.PAGADO', 0.8924855589866638)], [[[215.0, 217.0], [242.0, 219.0], [240.0, 235.0], [213.0, 233.0]], ('7.00', 0.9254182577133179)], [[[104.0, 232.0], [141.0, 232.0], [141.0, 246.0], [104.0, 246.0]], ('Cambio', 0.8921921849250793)], [[[212.0, 232.0], [241.0, 232.0], [241.0, 247.0], [212.0, 247.0]], ('13,00', 0.8908841013908386)], [[[124.0, 270.0], [209.0, 270.0], [209.0, 284.0], [124.0, 284.0]], ('I.V.A.INCLUIDO', 0.9165237545967102)], [[[238.0, 271.0], [258.0, 271.0], [258.0, 285.0], [238.0, 285.0]], ('2', 0.5826015472412109)], [[[141.0, 298.0], [169.0, 298.0], [169.0, 313.0], [141.0, 313.0]], ('BASE', 0.9970940351486206)], [[[189.0, 298.0], [211.0, 298.0], [211.0, 313.0], [189.0, 313.0]], ('IVA', 0.9972739219665527)], [[[229.0, 298.0], [259.0, 298.0], [259.0, 313.0], [229.0, 313.0]], ('TOTAL', 0.9980495572090149)], [[[79.0, 312.0], [174.0, 311.0], [174.0, 326.0], [80.0, 328.0]], ('IVA8%=6.48', 0.8760126233100891)], [[[183.0, 312.0], [212.0, 312.0], [212.0, 326.0], [183.0, 326.0]], ('0.52', 0.938034176826477)], [[[234.0, 312.0], [260.0, 312.0], [260.0, 327.0], [234.0, 327.0]], ('7,00', 0.9295024275779724)], [[[78.0, 340.0], [260.0, 338.0], [260.0, 356.0], [78.0, 357.0]], ('Emite:STARBUCKS COFFEE ESPANA,SL', 0.8777170181274414)], [[[77.0, 356.0], [217.0, 353.0], [217.0, 370.0], [77.0, 372.0]], ('C/Pedro de Valdivia,21', 0.9020513892173767)], [[[77.0, 371.0], [250.0, 369.0], [250.0, 383.0], [78.0, 385.0]], ('28006-MADRI0CIFB-83115907', 0.9402527809143066)], [[[77.0, 401.0], [234.0, 398.0], [235.0, 412.0], [78.0, 415.0]], ('***TVA INCLUIDO******', 0.8884103298187256)], [[[76.0, 414.0], [241.0, 411.0], [241.0, 428.0], [77.0, 431.0]], ('TENEMOS MIFI .PIDENOSEN CAJA', 0.9030202627182007)], [[[109.0, 431.0], [263.0, 427.0], [263.0, 441.0], [109.0, 445.0]], ('Pide Tu factura DEVOLUIVA', 0.9227079749107361)]]	{"store_name": "", "store_addr": "C\\Princes,40 28008MADRID", "telephone": "", "date": "", "time": "14:30", "subtotal": "6,48", "tax": "0,52", "total": "7,00 7,00 7,00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Lima&CocoTall", "item_value": "4,30", "item_quantity": "1"}, {"item_key": "", "item_name": "IND/MangoNaranj", "item_value": "2,70", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[120.0, 35.0], [213.0, 35.0], [213.0, 48.0], [120.0, 48.0]], ('AREAS USA ORD LLC.', 0.9272135496139526)], [[[99.0, 56.0], [238.0, 57.0], [238.0, 71.0], [99.0, 70.0]], ('CHICAGO O HARE INTERNATIONAL', 0.953285276889801)], [[[151.0, 47.0], [186.0, 47.0], [186.0, 58.0], [151.0, 58.0]], ('HUB51', 0.9382246136665344)], [[[115.0, 70.0], [179.0, 70.0], [179.0, 81.0], [115.0, 81.0]], ('11309 Bora Y.', 0.9216307401657104)], [[[92.0, 92.0], [134.0, 92.0], [134.0, 106.0], [92.0, 106.0]], ('TBL42/1', 0.9847148060798645)], [[[149.0, 104.0], [192.0, 104.0], [192.0, 116.0], [149.0, 116.0]], ('2888', 0.995524525642395)], [[[129.0, 116.0], [213.0, 114.0], [213.0, 129.0], [129.0, 130.0]], ('260CT162:16PH', 0.9026168584823608)], [[[106.0, 141.0], [173.0, 141.0], [173.0, 152.0], [106.0, 152.0]], ('1LG REVO IPA', 0.9183316230773926)], [[[219.0, 135.0], [244.0, 138.0], [243.0, 153.0], [217.0, 150.0]], ('9.99', 0.991619884967804)], [[[105.0, 153.0], [154.0, 153.0], [154.0, 164.0], [105.0, 164.0]], ('1SMSODA', 0.978581428527832)], [[[219.0, 150.0], [244.0, 150.0], [244.0, 165.0], [219.0, 165.0]], ('2.95', 0.9964208602905273)], [[[105.0, 165.0], [167.0, 165.0], [167.0, 176.0], [105.0, 176.0]], ('1 CHZ BURGER', 0.9265285134315491)], [[[216.0, 162.0], [245.0, 162.0], [245.0, 177.0], [216.0, 177.0]], ('13.95', 0.9932721853256226)], [[[105.0, 177.0], [179.0, 177.0], [179.0, 189.0], [105.0, 189.0]], ('1 TKY CHPD SLD', 0.8799033761024475)], [[[216.0, 172.0], [246.0, 175.0], [245.0, 190.0], [215.0, 187.0]], ('14.95', 0.9911867380142212)], [[[103.0, 188.0], [178.0, 187.0], [178.0, 201.0], [103.0, 202.0]], ('1 ADD PITA TST', 0.9145455956459045)], [[[222.0, 188.0], [246.0, 188.0], [246.0, 200.0], [222.0, 200.0]], ('1.99', 0.9960755109786987)], [[[114.0, 202.0], [157.0, 202.0], [157.0, 213.0], [114.0, 213.0]], ('SUBTOTAL', 0.9549779891967773)], [[[217.0, 199.0], [247.0, 199.0], [247.0, 213.0], [217.0, 213.0]], ('43.83', 0.9943894147872925)], [[[113.0, 214.0], [134.0, 214.0], [134.0, 226.0], [113.0, 226.0]], ('TAX', 0.9945784211158752)], [[[222.0, 212.0], [247.0, 212.0], [247.0, 224.0], [222.0, 224.0]], ('4.60', 0.9927142262458801)], [[[111.0, 225.0], [162.0, 225.0], [162.0, 239.0], [111.0, 239.0]], ('TOTAL DUE', 0.9499695301055908)], [[[179.0, 224.0], [244.0, 224.0], [244.0, 238.0], [179.0, 238.0]], ('$48.43', 0.9955112934112549)], [[[88.0, 239.0], [256.0, 237.0], [256.0, 248.0], [88.0, 250.0]], ('******************************', 0.9060938954353333)], [[[87.0, 251.0], [254.0, 249.0], [255.0, 263.0], [87.0, 265.0]], ('Tel1 us how we did and enter to', 0.899199366569519)], [[[86.0, 265.0], [260.0, 262.0], [260.0, 275.0], [87.0, 278.0]], ('win 2 round trfp airline tickets', 0.9313734173774719)], [[[103.0, 291.0], [246.0, 288.0], [246.0, 302.0], [103.0, 305.0]], ('Complete a brief survey at', 0.95301353931427)], [[[110.0, 305.0], [235.0, 302.0], [235.0, 316.0], [111.0, 320.0]], ('www.areasask.com/31210', 0.9806159734725952)], [[[130.0, 332.0], [227.0, 332.0], [227.0, 347.0], [130.0, 347.0]], ('Enter code below:', 0.9461016058921814)], [[[112.0, 347.0], [243.0, 344.0], [243.0, 359.0], [112.0, 361.0]], ('28880-11309-14261-00440', 0.9870855808258057)], [[[83.0, 362.0], [266.0, 357.0], [266.0, 372.0], [84.0, 376.0]], ('*****************************', 0.8257637619972229)], [[[99.0, 392.0], [246.0, 388.0], [246.0, 404.0], [99.0, 408.0]], ('For Guest Service, email', 0.898367166519165)], [[[111.0, 408.0], [241.0, 405.0], [241.0, 419.0], [112.0, 422.0]], ('guestservice@areas.com', 0.9796801209449768)], [[[115.0, 422.0], [237.0, 418.0], [237.0, 435.0], [116.0, 439.0]], ('Or Ca11 866.820.1178', 0.9136651158332825)]]	{"store_name": "AREASUSADRD,LLC. HUB51", "store_addr": "CHICAGOO'HAREINTERNATIONAL 11309BoraY.", "telephone": "", "date": "26OCT'16", "time": "2:16PM", "subtotal": "43.83", "tax": "4.60", "total": "$48.43", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LGREVOIPA", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SMSODA", "item_value": "14.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CHZBURGER", "item_value": "13.95", "item_quantity": "1"}, {"item_key": "", "item_name": "TKYCHPDSLD", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDPITATST", "item_value": "9.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[112.0, 65.0], [210.0, 65.0], [210.0, 78.0], [112.0, 78.0]], ('Hoododdy Burger Bar', 0.821076512336731)], [[[120.0, 77.0], [207.0, 77.0], [207.0, 90.0], [120.0, 90.0]], ('5030 Luther Lane', 0.9530227184295654)], [[[132.0, 90.0], [192.0, 87.0], [192.0, 101.0], [133.0, 104.0]], ('Sutte 100', 0.885115385055542)], [[[131.0, 100.0], [196.0, 100.0], [196.0, 115.0], [131.0, 115.0]], ('214-363-2337', 0.9485452175140381)], [[[51.0, 123.0], [108.0, 126.0], [107.0, 140.0], [51.0, 137.0]], ('Server:AM', 0.9399122595787048)], [[[220.0, 125.0], [278.0, 125.0], [278.0, 139.0], [220.0, 139.0]], ('06/12/2016', 0.9926125407218933)], [[[51.0, 137.0], [84.0, 137.0], [84.0, 151.0], [51.0, 151.0]], ('53/1', 0.9817399978637695)], [[[236.0, 138.0], [278.0, 138.0], [278.0, 152.0], [236.0, 152.0]], ('1:24PM', 0.9253346920013428)], [[[50.0, 148.0], [101.0, 151.0], [100.0, 165.0], [50.0, 163.0]], ('Ruests:2', 0.8276684284210205)], [[[247.0, 151.0], [278.0, 151.0], [278.0, 165.0], [247.0, 165.0]], ('10045', 0.9985599517822266)], [[[48.0, 174.0], [136.0, 177.0], [135.0, 191.0], [48.0, 188.0]], ('Primet ine Burger', 0.8438593149185181)], [[[247.0, 177.0], [278.0, 177.0], [278.0, 192.0], [247.0, 192.0]], ('12.00', 0.9969477653503418)], [[[47.0, 201.0], [142.0, 203.0], [142.0, 217.0], [47.0, 215.0]], ('Ha11 Caesar SaTad', 0.9014622569084167)], [[[252.0, 201.0], [279.0, 204.0], [277.0, 219.0], [250.0, 217.0]], ('7.25', 0.98462975025177)], [[[46.0, 214.0], [145.0, 217.0], [145.0, 231.0], [46.0, 228.0]], ('Reg Kennebec Fries', 0.918440580368042)], [[[252.0, 217.0], [279.0, 217.0], [279.0, 232.0], [252.0, 232.0]], ('2.75', 0.9941704869270325)], [[[45.0, 227.0], [126.0, 229.0], [126.0, 243.0], [45.0, 241.0]], ('Oreo Mi lkshake', 0.8518833518028259)], [[[253.0, 232.0], [279.0, 232.0], [279.0, 245.0], [253.0, 245.0]], ("00'9", 0.8727750778198242)], [[[43.0, 255.0], [90.0, 255.0], [90.0, 269.0], [43.0, 269.0]], ('Subtotal', 0.985302209854126)], [[[42.0, 267.0], [64.0, 270.0], [62.0, 285.0], [40.0, 282.0]], ('Tax', 0.9687900543212891)], [[[248.0, 258.0], [280.0, 258.0], [280.0, 273.0], [248.0, 273.0]], ('2080', 0.6741288900375366)], [[[252.0, 272.0], [280.0, 272.0], [280.0, 287.0], [252.0, 287.0]], ('2.31', 0.9960806965827942)], [[[41.0, 296.0], [71.0, 296.0], [71.0, 311.0], [41.0, 311.0]], ('Total', 0.9810224771499634)], [[[247.0, 299.0], [281.0, 299.0], [281.0, 317.0], [247.0, 317.0]], ('30.31', 0.9932414293289185)], [[[39.0, 322.0], [66.0, 325.0], [64.0, 340.0], [38.0, 337.0]], ('CASH', 0.9959137439727783)], [[[38.0, 336.0], [164.0, 342.0], [164.0, 359.0], [37.0, 353.0]], ('Balance Due', 0.9630932211875916)], [[[248.0, 327.0], [283.0, 330.0], [281.0, 348.0], [246.0, 345.0]], ('30.31', 0.99214106798172)], [[[231.0, 342.0], [283.0, 345.0], [282.0, 363.0], [230.0, 360.0]], ('0.00', 0.9963489770889282)], [[[193.0, 371.0], [236.0, 374.0], [235.0, 391.0], [192.0, 388.0]], ('[FOOD]:', 0.9432350993156433)], [[[249.0, 377.0], [283.0, 377.0], [283.0, 392.0], [249.0, 392.0]], ('28.00', 0.9951626658439636)], [[[87.0, 396.0], [222.0, 404.0], [221.0, 421.0], [86.0, 414.0]], ('YOU ROCK-WE LOVE YOU!', 0.9169200658798218)], [[[53.0, 424.0], [260.0, 433.0], [260.0, 449.0], [53.0, 440.0]], ("Have feedback? We'd love to hear 1t.", 0.9014737010002136)], [[[115.0, 415.0], [194.0, 419.0], [193.0, 433.0], [114.0, 429.0]], ('#hopdoddy love', 0.9443154335021973)]]	{"store_name": "", "store_addr": "6030LutherLane", "telephone": "214-363-2337", "date": "06/12/2016", "time": "1:24PM", "subtotal": "28.00", "tax": "2.31", "total": "30.31", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "OreoMilkshake", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RegKennebecFries", "item_value": "2.75", "item_quantity": "1"}, {"item_key": "", "item_name": "HallCaesarSalad", "item_value": "7.25", "item_quantity": "1"}, {"item_key": "", "item_name": "MEDIUMWELL", "item_value": "12.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[115.0, 4.0], [257.0, 4.0], [257.0, 21.0], [115.0, 21.0]], ('Fax:760-747-7480', 0.9620403051376343)], [[[46.0, 41.0], [274.0, 44.0], [274.0, 63.0], [45.0, 61.0]], ('Ticket:01-000566-01-117231', 0.9751495718955994)], [[[33.0, 85.0], [170.0, 86.0], [170.0, 104.0], [33.0, 103.0]], ('Server: Benjamin', 0.9424012899398804)], [[[201.0, 86.0], [338.0, 86.0], [338.0, 106.0], [201.0, 106.0]], ('08/14/13 6:29PM', 0.9405515193939209)], [[[25.0, 128.0], [159.0, 128.0], [159.0, 144.0], [25.0, 144.0]], ('Regular #56 BEEF', 0.8578535914421082)], [[[224.0, 127.0], [281.0, 127.0], [281.0, 147.0], [224.0, 147.0]], ('7.50T', 0.9849237203598022)], [[[23.0, 150.0], [121.0, 150.0], [121.0, 169.0], [23.0, 169.0]], ('Regular #13', 0.9686456322669983)], [[[224.0, 147.0], [282.0, 147.0], [282.0, 168.0], [224.0, 168.0]], ('7.25T', 0.9757682681083679)], [[[23.0, 172.0], [102.0, 172.0], [102.0, 190.0], [23.0, 190.0]], ('Reg Combo', 0.9668145775794983)], [[[224.0, 168.0], [282.0, 168.0], [282.0, 189.0], [224.0, 189.0]], ('2.25T', 0.9718279838562012)], [[[21.0, 192.0], [102.0, 192.0], [102.0, 213.0], [21.0, 213.0]], ('Reg Combo', 0.9657536745071411)], [[[225.0, 189.0], [281.0, 189.0], [281.0, 211.0], [225.0, 211.0]], ('2.25T', 0.979819655418396)], [[[98.0, 256.0], [178.0, 254.0], [178.0, 275.0], [98.0, 277.0]], ('Sub Total', 0.9244582653045654)], [[[208.0, 254.0], [264.0, 252.0], [265.0, 274.0], [209.0, 276.0]], ('$19.25', 0.9922551512718201)], [[[99.0, 279.0], [163.0, 277.0], [163.0, 297.0], [99.0, 300.0]], ('Taxable', 0.9962851405143738)], [[[209.0, 276.0], [265.0, 274.0], [266.0, 294.0], [210.0, 297.0]], ('$19.25', 0.9905760288238525)], [[[97.0, 301.0], [180.0, 297.0], [181.0, 319.0], [98.0, 323.0]], ('8.00%Tax', 0.9865982532501221)], [[[217.0, 297.0], [266.0, 294.0], [267.0, 317.0], [218.0, 320.0]], ('$1.54', 0.8986627459526062)], [[[98.0, 324.0], [144.0, 321.0], [146.0, 343.0], [99.0, 345.0]], ('Total', 0.9940638542175293)], [[[210.0, 321.0], [266.0, 318.0], [267.0, 340.0], [211.0, 342.0]], ('$20.79', 0.9947113990783691)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "08/14/13", "time": "6:29PM", "subtotal": "$19.25 $19.25", "tax": "$1.54", "total": "$20.79", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Regular#56BEEF", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Regular#13", "item_value": "7.25", "item_quantity": "1"}, {"item_key": "", "item_name": "RegCombo", "item_value": "2.25", "item_quantity": "1"}, {"item_key": "", "item_name": "RegCombo", "item_value": "2.25", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[186.0, 1.0], [255.0, 0.0], [255.0, 11.0], [186.0, 12.0]], ('Exclusivey fo', 0.9529734253883362)], [[[223.0, 8.0], [271.0, 5.0], [271.0, 16.0], [224.0, 19.0]], ('TAUNTON', 0.9132314920425415)], [[[183.0, 18.0], [259.0, 16.0], [259.0, 26.0], [183.0, 28.0]], ('any guestions ', 0.7911960482597351)], [[[309.0, 30.0], [338.0, 26.0], [340.0, 38.0], [311.0, 42.0]], ('1.45', 0.9842228889465332)], [[[147.0, 48.0], [232.0, 46.0], [232.0, 57.0], [147.0, 59.0]], ('HAM/EG/CHIPS', 0.9205165505409241)], [[[150.0, 41.0], [166.0, 41.0], [166.0, 49.0], [150.0, 49.0]], ('TEA', 0.9949016571044922)], [[[309.0, 39.0], [338.0, 35.0], [340.0, 47.0], [311.0, 51.0]], ('5.25', 0.9740197062492371)], [[[146.0, 63.0], [172.0, 63.0], [172.0, 74.0], [146.0, 74.0]], ('TOTAL', 0.9965613484382629)], [[[308.0, 54.0], [342.0, 51.0], [343.0, 66.0], [309.0, 69.0]], ('6.70', 0.9768165349960327)], [[[143.0, 72.0], [233.0, 69.0], [233.0, 81.0], [144.0, 85.0]], ('VISA CREDIT SALE', 0.9426499009132385)], [[[310.0, 65.0], [340.0, 60.0], [342.0, 72.0], [312.0, 77.0]], ('6.70', 0.9726855754852295)], [[[165.0, 84.0], [243.0, 79.0], [243.0, 92.0], [166.0, 97.0]], ('Contactless ', 0.9246788620948792)], [[[153.0, 94.0], [171.0, 94.0], [171.0, 102.0], [153.0, 102.0]], ('AID', 0.9564526677131653)], [[[210.0, 90.0], [304.0, 85.0], [305.0, 99.0], [210.0, 104.0]], ('A0000000031010', 0.957939624786377)], [[[150.0, 101.0], [187.0, 101.0], [187.0, 112.0], [150.0, 112.0]], ('NUMBER', 0.9924047589302063)], [[[210.0, 101.0], [314.0, 96.0], [315.0, 107.0], [210.0, 112.0]], ('*3097', 0.8974566459655762)], [[[335.0, 92.0], [357.0, 92.0], [357.0, 104.0], [335.0, 104.0]], ('ICC', 0.9917616844177246)], [[[147.0, 109.0], [238.0, 107.0], [238.0, 121.0], [147.0, 123.0]], ('PAN SEQ NOCO', 0.8815241456031799)], [[[149.0, 120.0], [200.0, 120.0], [200.0, 131.0], [149.0, 131.0]], ('AUTH CODE', 0.9385766983032227)], [[[210.0, 127.0], [272.0, 127.0], [272.0, 137.0], [210.0, 137.0]], ('6205512', 0.981185257434845)], [[[212.0, 119.0], [259.0, 119.0], [259.0, 129.0], [212.0, 129.0]], ('003150', 0.9814732670783997)], [[[140.0, 138.0], [299.0, 133.0], [299.0, 147.0], [141.0, 151.0]], ('Cardholder Device Verified', 0.8497486710548401)], [[[146.0, 130.0], [197.0, 127.0], [197.0, 137.0], [147.0, 140.0]], ('MERCHANT', 0.9924470782279968)], [[[133.0, 148.0], [192.0, 148.0], [192.0, 159.0], [133.0, 159.0]], ('CHANGE DUE', 0.9507989883422852)], [[[313.0, 144.0], [347.0, 141.0], [348.0, 153.0], [314.0, 156.0]], ('0.00', 0.9737005233764648)], [[[123.0, 176.0], [357.0, 173.0], [358.0, 187.0], [124.0, 190.0]], ('JOIN CLUBCARD TODAY', 0.9543896913528442)], [[[144.0, 186.0], [345.0, 184.0], [346.0, 198.0], [144.0, 200.0]], ('Ths visit could have earned you', 0.9391688108444214)], [[[184.0, 198.0], [299.0, 197.0], [299.0, 208.0], [184.0, 209.0]], ('6 Clubcard points.', 0.9228358864784241)], [[[117.0, 208.0], [364.0, 208.0], [364.0, 221.0], [117.0, 221.0]], ('To join, visit Tesco.com/clubcard/join', 0.9024943113327026)], [[[134.0, 219.0], [355.0, 219.0], [355.0, 232.0], [134.0, 232.0]], ('text Join to 80850 or cal1 us on', 0.8672076463699341)], [[[131.0, 230.0], [355.0, 229.0], [355.0, 243.0], [131.0, 244.0]], ('either 0800 591688 or 0330 1231688', 0.912778377532959)], [[[102.0, 321.0], [381.0, 324.0], [381.0, 339.0], [101.0, 335.0]], ('A chance to win a 1000 Tesco Gi ft Card', 0.9239294528961182)], [[[129.0, 336.0], [349.0, 340.0], [348.0, 354.0], [129.0, 350.0]], ('by telling us about your visit', 0.9545656442642212)], [[[154.0, 350.0], [319.0, 354.0], [318.0, 368.0], [154.0, 365.0]], ('at cafe.tescoviews.com', 0.9706560373306274)], [[[121.0, 363.0], [349.0, 369.0], [348.0, 385.0], [120.0, 380.0]], ('and collect 25 Clubcard points', 0.9457615613937378)], [[[132.0, 395.0], [338.0, 401.0], [337.0, 417.0], [131.0, 411.0]], ('Terms and conditions apply.', 0.9539723992347717)], [[[115.0, 410.0], [352.0, 417.0], [351.0, 434.0], [114.0, 427.0]], ('Please sea website for detai ls', 0.8981713056564331)]]	{"store_name": "", "store_addr": "TAUNTON", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "\u00a36.70 \u00a36.70", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MAM/EGS/CHIPS", "item_value": "\u00a31.45", "item_quantity": "1"}, {"item_key": "", "item_name": "TEA", "item_value": "\u00a35.25", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[44.0, 42.0], [193.0, 39.0], [194.0, 57.0], [44.0, 60.0]], ('Order By:GANI', 0.8850012421607971)], [[[43.0, 76.0], [263.0, 72.0], [263.0, 89.0], [43.0, 93.0]], ('Thank Yoa.Welcome Again', 0.8951056003570557)], [[[37.0, 198.0], [103.0, 200.0], [103.0, 217.0], [36.0, 215.0]], ('Recept', 0.8542826771736145)], [[[225.0, 194.0], [402.0, 190.0], [403.0, 210.0], [225.0, 214.0]], ('10/01/201312:36:58', 0.9772095084190369)], [[[34.0, 244.0], [265.0, 242.0], [265.0, 259.0], [34.0, 261.0]], ('HAJISYEDRESTAURANT', 0.9510138034820557)], [[[35.0, 270.0], [106.0, 270.0], [106.0, 288.0], [35.0, 288.0]], ('RAHOUrS', 0.5638226866722107)], [[[35.0, 296.0], [161.0, 296.0], [161.0, 313.0], [35.0, 313.0]], ('3BadRoad', 0.7772742509841919)], [[[36.0, 324.0], [114.0, 324.0], [114.0, 342.0], [36.0, 342.0]], ('Singapore', 0.8804753422737122)], [[[145.0, 322.0], [202.0, 322.0], [202.0, 339.0], [145.0, 339.0]], ('409490', 0.9560955166816711)], [[[37.0, 353.0], [215.0, 353.0], [215.0, 370.0], [37.0, 370.0]], ('Phone02425412 Fax', 0.8392376899719238)], [[[38.0, 382.0], [248.0, 378.0], [249.0, 398.0], [39.0, 402.0]], ('ReceiptSR-IN154431', 0.8068240284919739)], [[[300.0, 379.0], [447.0, 379.0], [447.0, 399.0], [300.0, 399.0]], ('DOrd #:28400', 0.9334571361541748)], [[[43.0, 411.0], [163.0, 411.0], [163.0, 431.0], [43.0, 431.0]], ('Table No:64', 0.8918676972389221)], [[[42.0, 456.0], [76.0, 456.0], [76.0, 475.0], [42.0, 475.0]], ('QD', 0.6882038116455078)], [[[85.0, 456.0], [128.0, 456.0], [128.0, 474.0], [85.0, 474.0]], ('Item', 0.9180571436882019)], [[[267.0, 452.0], [311.0, 452.0], [311.0, 471.0], [267.0, 471.0]], ('Price', 0.9990148544311523)], [[[339.0, 449.0], [407.0, 449.0], [407.0, 470.0], [339.0, 470.0]], ('Amt(S$)', 0.8587191700935364)], [[[95.0, 499.0], [198.0, 498.0], [199.0, 516.0], [95.0, 517.0]], ('LEMON ICE', 0.9438826441764832)], [[[283.0, 496.0], [327.0, 496.0], [327.0, 515.0], [283.0, 515.0]], ('1.30', 0.9982279539108276)], [[[358.0, 495.0], [401.0, 495.0], [401.0, 514.0], [358.0, 514.0]], ('1.30', 0.9979091882705688)], [[[95.0, 521.0], [253.0, 519.0], [254.0, 537.0], [95.0, 539.0]], ('CHEESE AYAM R', 0.92317795753479)], [[[282.0, 516.0], [328.0, 516.0], [328.0, 538.0], [282.0, 538.0]], ('5.50', 0.9981250762939453)], [[[357.0, 516.0], [400.0, 514.0], [401.0, 534.0], [358.0, 536.0]], ('5.50', 0.997642993927002)], [[[95.0, 544.0], [221.0, 542.0], [221.0, 559.0], [95.0, 561.0]], ('LEMON ICE G', 0.9146570563316345)], [[[283.0, 539.0], [329.0, 539.0], [329.0, 561.0], [283.0, 561.0]], ('2.10', 0.9967743754386902)], [[[358.0, 538.0], [404.0, 538.0], [404.0, 560.0], [358.0, 560.0]], ('2.10', 0.9971222281455994)], [[[96.0, 565.0], [176.0, 565.0], [176.0, 583.0], [96.0, 583.0]], ('ORANGE', 0.9980593323707581)], [[[284.0, 561.0], [329.0, 561.0], [329.0, 583.0], [284.0, 583.0]], ('2.50', 0.9974963068962097)], [[[360.0, 560.0], [405.0, 560.0], [405.0, 582.0], [360.0, 582.0]], ('5.00', 0.9976456761360168)], [[[95.0, 586.0], [329.0, 583.0], [329.0, 603.0], [95.0, 606.0]], ('MEE HOON GRGMU 5.00', 0.9139630198478699)], [[[361.0, 583.0], [407.0, 583.0], [407.0, 605.0], [361.0, 605.0]], ('5.00', 0.9968858361244202)], [[[43.0, 610.0], [56.0, 610.0], [56.0, 629.0], [43.0, 629.0]], ('1', 0.9969000816345215)], [[[95.0, 610.0], [328.0, 608.0], [328.0, 625.0], [95.0, 627.0]], ('KWAY TEOWGRGC5.00', 0.9601861238479614)], [[[362.0, 606.0], [408.0, 606.0], [408.0, 628.0], [362.0, 628.0]], ('5.00', 0.9977501630783081)], [[[40.0, 661.0], [109.0, 658.0], [110.0, 680.0], [41.0, 683.0]], ('Qty:7', 0.7421184182167053)], [[[40.0, 688.0], [150.0, 686.0], [150.0, 707.0], [41.0, 709.0]], ('Sub Total Ss:', 0.8716764450073242)], [[[358.0, 689.0], [404.0, 689.0], [404.0, 708.0], [358.0, 708.0]], ('23.90', 0.9971672892570496)], [[[44.0, 738.0], [156.0, 734.0], [156.0, 756.0], [45.0, 760.0]], ('Amount SS', 0.9188966751098633)], [[[348.0, 735.0], [409.0, 733.0], [410.0, 758.0], [349.0, 760.0]], ('23.90', 0.9971991777420044)], [[[179.0, 768.0], [246.0, 768.0], [246.0, 789.0], [179.0, 789.0]], ('CASH', 0.9952201843261719)], [[[360.0, 786.0], [410.0, 788.0], [409.0, 799.0], [359.0, 799.0]], ('23.00', 0.8920440673828125)]]	{"store_name": "HAJISYEDRESTAURANT", "store_addr": "320BedokRoad Singapore469496", "telephone": "62425412", "date": "10/01/2013", "time": "12:36:58", "subtotal": "23.90", "tax": "", "total": "23.90", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LEMONICE", "item_value": "1.30", "item_quantity": "1"}, {"item_key": "", "item_name": "CHEESEAYAMRJ", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "LEMONICEG", "item_value": "2.10", "item_quantity": "1"}, {"item_key": "", "item_name": "ORANGE", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KWAYTEOWGRGC", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MEEHOONGRGMU", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[177.0, 10.0], [332.0, 10.0], [332.0, 29.0], [177.0, 29.0]], ('7-ELEVEN', 0.9908362627029419)], [[[183.0, 31.0], [321.0, 29.0], [321.0, 46.0], [184.0, 48.0]], ('246 ELLIOTT ST', 0.9069203734397888)], [[[174.0, 49.0], [331.0, 48.0], [331.0, 67.0], [174.0, 68.0]], ('BEVERLY MA01915', 0.9579064249992371)], [[[202.0, 68.0], [301.0, 68.0], [301.0, 88.0], [202.0, 88.0]], ('9789276781', 0.9977992177009583)], [[[185.0, 90.0], [311.0, 90.0], [311.0, 106.0], [185.0, 106.0]], ('STORE#34392', 0.9878461956977844)], [[[184.0, 108.0], [322.0, 108.0], [322.0, 127.0], [184.0, 127.0]], ('Tom Brady is a', 0.9318050146102905)], [[[175.0, 128.0], [318.0, 128.0], [318.0, 145.0], [175.0, 145.0]], ('football God!!!', 0.8700558543205261)], [[[55.0, 163.0], [262.0, 165.0], [262.0, 185.0], [55.0, 183.0]], ('1HrshyMIkChocXL4.4z', 0.9025670289993286)], [[[388.0, 165.0], [441.0, 165.0], [441.0, 186.0], [388.0, 186.0]], ('2.69F', 0.9864537119865417)], [[[58.0, 203.0], [134.0, 203.0], [134.0, 221.0], [58.0, 221.0]], ('SUBTOTAL', 0.9969332218170166)], [[[398.0, 204.0], [441.0, 204.0], [441.0, 223.0], [398.0, 223.0]], ('2.69', 0.9969751834869385)], [[[59.0, 223.0], [146.0, 223.0], [146.0, 240.0], [59.0, 240.0]], ('TOTAL DUE', 0.9504956007003784)], [[[397.0, 224.0], [441.0, 224.0], [441.0, 242.0], [397.0, 242.0]], ('2.69', 0.994475781917572)], [[[60.0, 242.0], [139.0, 242.0], [139.0, 259.0], [60.0, 259.0]], ('CASH', 0.9946528077125549)], [[[369.0, 242.0], [449.0, 242.0], [449.0, 262.0], [369.0, 262.0]], ('2.69', 0.99742591381073)], [[[193.0, 298.0], [301.0, 298.0], [301.0, 317.0], [193.0, 317.0]], ('Haters live', 0.9348970651626587)], [[[195.0, 317.0], [301.0, 317.0], [301.0, 336.0], [195.0, 336.0]], ('in Denver!!', 0.8644968271255493)], [[[192.0, 337.0], [424.0, 337.0], [424.0, 354.0], [192.0, 354.0]], ('REPRINT*X', 0.8088515996932983)], [[[60.0, 354.0], [418.0, 357.0], [418.0, 375.0], [60.0, 372.0]], ('T#01 0P08 TRN819711/05/2015 11:30 PM', 0.9260556697845459)]]	{"store_name": "7-ELEVEN", "store_addr": "246ELLIOTTST BEVERLYMA01915", "telephone": "9789276781", "date": "11/05/2015", "time": "11:30PM", "subtotal": "2.69", "tax": "", "total": "2.69", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HrshyMlkChocXL4.4z", "item_value": "2.69F", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[61.0, 119.0], [103.0, 122.0], [102.0, 133.0], [60.0, 130.0]], ('BON', 0.9887716174125671)], [[[108.0, 121.0], [148.0, 121.0], [148.0, 131.0], [108.0, 131.0]], ('TON', 0.9958109855651855)], [[[52.0, 139.0], [154.0, 135.0], [155.0, 149.0], [52.0, 152.0]], ('VIA PIANDI ROTA N.2.I', 0.8483598828315735)], [[[75.0, 131.0], [124.0, 131.0], [124.0, 141.0], [75.0, 141.0]], ('OIGS.V', 0.6430204510688782)], [[[173.0, 168.0], [196.0, 165.0], [198.0, 180.0], [175.0, 183.0]], ('1.20', 0.9527652859687805)], [[[175.0, 159.0], [196.0, 159.0], [196.0, 171.0], [175.0, 171.0]], ('EURD', 0.8809765577316284)], [[[16.0, 173.0], [136.0, 170.0], [136.0, 184.0], [17.0, 187.0]], ('CAPPUCCINOLATTE MACCHIATO', 0.8607365489006042)], [[[177.0, 187.0], [200.0, 187.0], [200.0, 202.0], [177.0, 202.0]], ('0.90', 0.7824190258979797)], [[[178.0, 178.0], [198.0, 178.0], [198.0, 190.0], [178.0, 190.0]], ('1.50', 0.8993311524391174)], [[[15.0, 204.0], [53.0, 204.0], [53.0, 218.0], [15.0, 218.0]], ('LIEVITO', 0.9929977059364319)], [[[16.0, 195.0], [53.0, 195.0], [53.0, 206.0], [16.0, 206.0]], ('LIEVITO', 0.9861350655555725)], [[[177.0, 198.0], [200.0, 198.0], [200.0, 213.0], [177.0, 213.0]], ('05.0', 0.653109610080719)], [[[14.0, 214.0], [59.0, 214.0], [59.0, 236.0], [14.0, 236.0]], ('TOTALE C', 0.8687107563018799)], [[[177.0, 209.0], [201.0, 206.0], [204.0, 230.0], [180.0, 233.0]], ('4,50', 0.885250985622406)], [[[15.0, 236.0], [55.0, 236.0], [55.0, 247.0], [15.0, 247.0]], ('CONTANTE', 0.9969821572303772)], [[[183.0, 230.0], [203.0, 230.0], [203.0, 242.0], [183.0, 242.0]], ('4,50', 0.9071859121322632)], [[[61.0, 255.0], [158.0, 253.0], [158.0, 266.0], [61.0, 268.0]], ('ARRIVEDERCI E GRAZIE', 0.9406489133834839)], [[[17.0, 282.0], [58.0, 282.0], [58.0, 293.0], [17.0, 293.0]], ('7.4.0P.1', 0.8695909976959229)], [[[15.0, 304.0], [95.0, 304.0], [95.0, 317.0], [15.0, 317.0]], ('24-05-201808:22', 0.9542937874794006)], [[[13.0, 317.0], [133.0, 313.0], [133.0, 327.0], [13.0, 332.0]], ('SCONTRINOFISCALE N.331', 0.9413952231407166)], [[[81.0, 341.0], [154.0, 341.0], [154.0, 355.0], [81.0, 355.0]], ('FTV45702715', 0.931979775428772)]]	{"store_name": "BONTON", "store_addr": "VIAPIANDIROTAN.2DI", "telephone": "", "date": "24-05-2018", "time": "08:22", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CAPPUCCINO\\LATTEMACCHIATO", "item_value": "1,20", "item_quantity": "1"}, {"item_key": "", "item_name": "CAPPUCCINOSOTA", "item_value": "1,50", "item_quantity": "1"}, {"item_key": "", "item_name": "LIEVITO", "item_value": "0,90", "item_quantity": "1"}, {"item_key": "", "item_name": "LTEVITO", "item_value": "0,90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[121.0, 23.0], [206.0, 28.0], [205.0, 42.0], [120.0, 37.0]], ('740.RIVERSIDE ', 0.7947744131088257)], [[[122.0, 37.0], [207.0, 43.0], [206.0, 57.0], [121.0, 51.0]], ('ROCKF8.L.61103', 0.8413575887680054)], [[[81.0, 52.0], [101.0, 52.0], [101.0, 64.0], [81.0, 64.0]], ('DATE', 0.9845561981201172)], [[[142.0, 53.0], [188.0, 56.0], [187.0, 69.0], [141.0, 67.0]], ('01/02/2017', 0.9440045356750488)], [[[228.0, 58.0], [244.0, 58.0], [244.0, 70.0], [228.0, 70.0]], ('NON', 0.8997535705566406)], [[[107.0, 68.0], [128.0, 68.0], [128.0, 80.0], [107.0, 80.0]], ('29X', 0.8484892249107361)], [[[163.0, 69.0], [192.0, 69.0], [192.0, 80.0], [163.0, 80.0]], ('01.49', 0.836990237236023)], [[[104.0, 81.0], [144.0, 79.0], [145.0, 92.0], [105.0, 94.0]], ('SHES1', 0.7373782992362976)], [[[163.0, 90.0], [195.0, 92.0], [194.0, 106.0], [162.0, 103.0]], ('1.09', 0.9411453008651733)], [[[219.0, 81.0], [247.0, 81.0], [247.0, 94.0], [219.0, 94.0]], ('$43.21', 0.9694623947143555)], [[[107.0, 94.0], [126.0, 94.0], [126.0, 105.0], [107.0, 105.0]], ('2X', 0.6935539245605469)], [[[105.0, 105.0], [146.0, 103.0], [147.0, 116.0], [106.0, 119.0]], ('CANDY', 0.7589719295501709)], [[[225.0, 103.0], [250.0, 106.0], [248.0, 121.0], [223.0, 118.0]], ('12.18', 0.7947179079055786)], [[[108.0, 118.0], [127.0, 118.0], [127.0, 130.0], [108.0, 130.0]], ('3X', 0.8071727752685547)], [[[167.0, 119.0], [196.0, 119.0], [196.0, 130.0], [167.0, 130.0]], ('01.00', 0.9362122416496277)], [[[107.0, 130.0], [138.0, 130.0], [138.0, 143.0], [107.0, 143.0]], ('100', 0.7079834938049316)], [[[226.0, 132.0], [250.0, 132.0], [250.0, 144.0], [226.0, 144.0]], ('$3.00', 0.9780476689338684)], [[[109.0, 144.0], [130.0, 144.0], [130.0, 156.0], [109.0, 156.0]], ('50X', 0.9127842783927917)], [[[168.0, 145.0], [197.0, 145.0], [197.0, 156.0], [168.0, 156.0]], ('0.99', 0.9830615520477295)], [[[111.0, 159.0], [167.0, 159.0], [167.0, 170.0], [111.0, 170.0]], ('25+POUNDS1', 0.8749047517776489)], [[[225.0, 159.0], [252.0, 159.0], [252.0, 170.0], [225.0, 170.0]], ('$49.50', 0.9695539474487305)], [[[111.0, 173.0], [173.0, 173.0], [173.0, 184.0], [111.0, 184.0]], ('LARGE TEMS 1', 0.7774431705474854)], [[[228.0, 172.0], [253.0, 172.0], [253.0, 184.0], [228.0, 184.0]], ('$0.99', 0.9812137484550476)], [[[110.0, 186.0], [149.0, 186.0], [149.0, 200.0], [110.0, 200.0]], ('TAX1ANT', 0.8634658455848694)], [[[229.0, 185.0], [254.0, 185.0], [254.0, 197.0], [229.0, 197.0]], ('$8.16', 0.9797089695930481)], [[[111.0, 202.0], [134.0, 202.0], [134.0, 214.0], [111.0, 214.0]], ('TOTAL', 0.9926894307136536)], [[[221.0, 198.0], [254.0, 195.0], [255.0, 210.0], [222.0, 213.0]], ('$107.04', 0.9770413041114807)], [[[111.0, 216.0], [160.0, 216.0], [160.0, 226.0], [111.0, 226.0]], ('CREDIT CARD', 0.8653900623321533)], [[[223.0, 212.0], [257.0, 212.0], [257.0, 225.0], [223.0, 225.0]], ('$107.04', 0.9732398986816406)], [[[84.0, 230.0], [105.0, 230.0], [105.0, 241.0], [84.0, 241.0]], ('SALE', 0.9962923526763916)], [[[224.0, 225.0], [257.0, 225.0], [257.0, 239.0], [224.0, 239.0]], ('$107.04', 0.9856194257736206)], [[[85.0, 243.0], [157.0, 243.0], [157.0, 253.0], [85.0, 253.0]], ('.***..0578', 0.6395193934440613)], [[[84.0, 253.0], [137.0, 251.0], [138.0, 265.0], [84.0, 267.0]], ('APP004554', 0.946644127368927)], [[[84.0, 266.0], [144.0, 263.0], [145.0, 277.0], [85.0, 280.0]], ('REF00000000', 0.7385801076889038)], [[[84.0, 279.0], [120.0, 277.0], [121.0, 290.0], [85.0, 293.0]], ('REC50', 0.9659085273742676)], [[[137.0, 290.0], [200.0, 290.0], [200.0, 301.0], [137.0, 301.0]], ('ORDE023S', 0.7663751840591431)], [[[86.0, 308.0], [176.0, 299.0], [177.0, 313.0], [87.0, 322.0]], ('NO.004938RE002GY', 0.8509134650230408)], [[[210.0, 300.0], [243.0, 300.0], [243.0, 310.0], [210.0, 310.0]], ('TINE18', 0.7569172382354736)]]	{"store_name": "GOODWILLOUTLETSTORE", "store_addr": "", "telephone": "", "date": "01/02/2017", "time": "", "subtotal": "", "tax": "$8.16", "total": "$107.04", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SHOEST1", "item_value": "$43.21", "item_quantity": "1"}, {"item_key": "", "item_name": "CANDYT1", "item_value": "$2.18", "item_quantity": "1"}, {"item_key": "", "item_name": "DVDTI", "item_value": "$3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "25+", "item_value": "$49.50", "item_quantity": "1"}, {"item_key": "", "item_name": "POUNDST1", "item_value": "$0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "LARGEITEMST1", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[700.0, 478.0], [1800.0, 528.0], [1787.0, 782.0], [688.0, 731.0]], ('Mobilestop', 0.9404723048210144)], [[[978.0, 878.0], [1489.0, 878.0], [1489.0, 953.0], [978.0, 953.0]], ('City Square Mall', 0.922983705997467)], [[[828.0, 1003.0], [1662.0, 997.0], [1662.0, 1062.0], [828.0, 1069.0]], ('180 Kitchener Road #04-30', 0.9487122297286987)], [[[949.0, 1122.0], [1517.0, 1109.0], [1519.0, 1184.0], [950.0, 1197.0]], ('Singapore 208539', 0.9742180705070496)], [[[431.0, 1407.0], [1875.0, 1387.0], [1876.0, 1462.0], [432.0, 1482.0]], ('Receipt No:00023194', 0.9432399272918701)], [[[1803.0, 1569.0], [2017.0, 1569.0], [2017.0, 1659.0], [1803.0, 1659.0]], ('28.00', 0.9958029985427856)], [[[661.0, 1591.0], [1204.0, 1584.0], [1205.0, 1659.0], [662.0, 1666.0]], ('Mono MFI Cable', 0.9034970998764038)], [[[818.0, 1954.0], [1136.0, 1946.0], [1138.0, 2034.0], [820.0, 2041.0]], ('SUBTOTAL', 0.9965617656707764)], [[[1774.0, 1947.0], [1978.0, 1947.0], [1978.0, 2028.0], [1774.0, 2028.0]], ('28.00', 0.996208667755127)], [[[1585.0, 2044.0], [1968.0, 2037.0], [1969.0, 2115.0], [1586.0, 2122.0]], ('28.00', 0.9510942697525024)], [[[747.0, 2054.0], [1133.0, 2043.0], [1135.0, 2131.0], [750.0, 2141.0]], ('TOTAL', 0.9973597526550293)], [[[1769.0, 2220.0], [1979.0, 2211.0], [1983.0, 2302.0], [1773.0, 2310.0]], ('28.00', 0.9973598718643188)], [[[823.0, 2239.0], [1144.0, 2224.0], [1149.0, 2314.0], [828.0, 2329.0]], ('NETS SG$', 0.9646157026290894)], [[[1319.0, 2507.0], [1675.0, 2493.0], [1679.0, 2577.0], [1322.0, 2592.0]], ('Svc Qty:0', 0.9249229431152344)], [[[444.0, 2541.0], [836.0, 2531.0], [838.0, 2606.0], [446.0, 2616.0]], ('Item Qty:1', 0.9263512492179871)], [[[1469.0, 2589.0], [1640.0, 2580.0], [1644.0, 2661.0], [1473.0, 2670.0]], ('Cs:1', 0.8657464385032654)], [[[446.0, 2635.0], [1100.0, 2608.0], [1104.0, 2683.0], [450.0, 2710.0]], ('Term:1 No:0000005', 0.9338878393173218)], [[[446.0, 2723.0], [1410.0, 2677.0], [1414.0, 2752.0], [450.0, 2798.0]], ('DateJu1-28~2015 12:58PM', 0.9041576385498047)]]	{"store_name": "mobilestop", "store_addr": "CitySquareMall 180KitchenerRoad#04-30 Singapore208539", "telephone": "", "date": "Jul-28-2015", "time": "12:58PM", "subtotal": "28.00 28.00", "tax": "", "total": "28.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "MonoMFICable", "item_value": "28.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[298.0, 104.0], [898.0, 93.0], [899.0, 138.0], [299.0, 149.0]], ('AROMASOP', 0.9926894903182983)], [[[401.0, 158.0], [808.0, 158.0], [808.0, 198.0], [401.0, 198.0]], ('Muara karang', 0.9732114672660828)], [[[397.0, 212.0], [811.0, 206.0], [812.0, 251.0], [398.0, 257.0]], ('021-66604433', 0.986285924911499)], [[[293.0, 385.0], [881.0, 382.0], [881.0, 427.0], [293.0, 430.0]], ('DUPLICATE RECEIPT', 0.9681230187416077)], [[[179.0, 503.0], [295.0, 503.0], [295.0, 558.0], [179.0, 558.0]], ('REG', 0.9979750514030457)], [[[363.0, 508.0], [922.0, 503.0], [922.0, 548.0], [363.0, 553.0]], ('27-05-201417:58', 0.9819992780685425)], [[[186.0, 567.0], [295.0, 567.0], [295.0, 623.0], [186.0, 623.0]], ('IMA', 0.9978716373443604)], [[[854.0, 623.0], [932.0, 623.0], [932.0, 677.0], [854.0, 677.0]], ('CT', 0.9961487054824829)], [[[1002.0, 627.0], [1033.0, 627.0], [1033.0, 672.0], [1002.0, 672.0]], ('1', 0.9570461511611938)], [[[222.0, 753.0], [332.0, 753.0], [332.0, 803.0], [222.0, 803.0]], ('3.8', 0.9986053109169006)], [[[293.0, 813.0], [472.0, 813.0], [472.0, 860.0], [293.0, 860.0]], ('KRAPU', 0.9963800311088562)], [[[803.0, 808.0], [1038.0, 808.0], [1038.0, 855.0], [803.0, 855.0]], ('45.600', 0.9318869113922119)], [[[797.0, 861.0], [1045.0, 869.0], [1044.0, 920.0], [796.0, 913.0]], ('38,000', 0.925412654876709)], [[[221.0, 877.0], [724.0, 866.0], [725.0, 913.0], [222.0, 924.0]], ('1CUMI TLRASN', 0.952714204788208)], [[[219.0, 937.0], [672.0, 925.0], [674.0, 976.0], [221.0, 989.0]], ('1KANGKUNGT', 0.9741575121879578)], [[[803.0, 930.0], [1047.0, 930.0], [1047.0, 977.0], [803.0, 977.0]], ('20,000', 0.9328494071960449)], [[[206.0, 992.0], [401.0, 986.0], [403.0, 1044.0], [208.0, 1051.0]], ('2TEH', 0.9866162538528442)], [[[838.0, 986.0], [1052.0, 990.0], [1051.0, 1042.0], [837.0, 1038.0]], ('4,000', 0.8741481900215149)], [[[206.0, 1055.0], [430.0, 1055.0], [430.0, 1113.0], [206.0, 1113.0]], ('2 NASI', 0.9111973643302917)], [[[809.0, 1048.0], [1056.0, 1055.0], [1054.0, 1109.0], [807.0, 1101.0]], ('12.000', 0.9711632132530212)], [[[491.0, 1188.0], [1050.0, 1188.0], [1050.0, 1233.0], [491.0, 1233.0]], ('.119600', 0.890681266784668)], [[[276.0, 1253.0], [433.0, 1253.0], [433.0, 1307.0], [276.0, 1307.0]], ('CASH', 0.9978121519088745)], [[[506.0, 1259.0], [1066.0, 1246.0], [1067.0, 1303.0], [507.0, 1315.0]], ('119.600', 0.962826132774353)], [[[281.0, 1390.0], [646.0, 1388.0], [646.0, 1442.0], [281.0, 1443.0]], ('THANK', 0.997604250907898)], [[[689.0, 1388.0], [948.0, 1388.0], [948.0, 1440.0], [689.0, 1440.0]], ('YOU', 0.9698810577392578)], [[[540.0, 1481.0], [1011.0, 1464.0], [1016.0, 1582.0], [545.0, 1599.0]], ('2560', 0.8721626996994019)]]	{"store_name": "AROMASOP", "store_addr": "Muarakarang", "telephone": "021-66604433", "date": "27-05-2014", "time": "17:58", "subtotal": "", "tax": "", "total": "\u00b7119,600", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "KRAPU", "item_value": "\u00b745,600", "item_quantity": "1"}, {"item_key": "", "item_name": "NASI", "item_value": "\u00b738,000", "item_quantity": "1"}, {"item_key": "", "item_name": "TEH", "item_value": "\u00b720,000", "item_quantity": "1"}, {"item_key": "", "item_name": "CUMITLRASN", "item_value": "\u00b74,000", "item_quantity": "1"}, {"item_key": "", "item_name": "KANGKUNGT", "item_value": "\u00b712,000", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[97.0, 3.0], [193.0, 9.0], [192.0, 23.0], [96.0, 17.0]], ('VAT NO:192 362207', 0.9076969623565674)], [[[46.0, 43.0], [120.0, 47.0], [119.0, 63.0], [45.0, 58.0]], ('CHK#42', 0.9233495593070984)], [[[46.0, 58.0], [101.0, 60.0], [100.0, 75.0], [46.0, 72.0]], ('Andre', 0.9977714419364929)], [[[155.0, 49.0], [198.0, 53.0], [197.0, 68.0], [154.0, 64.0]], ('TBL#', 0.9335709810256958)], [[[192.0, 50.0], [225.0, 55.0], [223.0, 70.0], [190.0, 65.0]], ('38', 0.9848960041999817)], [[[46.0, 71.0], [143.0, 77.0], [143.0, 91.0], [45.0, 85.0]], ('09/04/2015 15:53:03', 0.9434368014335632)], [[[221.0, 70.0], [241.0, 70.0], [241.0, 84.0], [221.0, 84.0]], ('14', 0.6811357736587524)], [[[185.0, 81.0], [221.0, 81.0], [221.0, 95.0], [185.0, 95.0]], ('GUESTS', 0.9120545983314514)], [[[104.0, 101.0], [189.0, 107.0], [189.0, 121.0], [103.0, 115.0]], ('1 King Pran Ling', 0.9126005172729492)], [[[103.0, 114.0], [193.0, 121.0], [192.0, 134.0], [102.0, 127.0]], ('1 Penne Della Casa', 0.867531955242157)], [[[213.0, 107.0], [240.0, 110.0], [238.0, 125.0], [212.0, 122.0]], ('11.95', 0.9405873417854309)], [[[212.0, 120.0], [240.0, 123.0], [238.0, 137.0], [211.0, 134.0]], ('10.75', 0.9851970672607422)], [[[85.0, 139.0], [148.0, 144.0], [147.0, 157.0], [84.0, 152.0]], ('2 Sprite', 0.8646361827850342)], [[[187.0, 141.0], [238.0, 149.0], [236.0, 163.0], [185.0, 155.0]], ('4.80', 0.8580975532531738)], [[[212.0, 132.0], [239.0, 135.0], [237.0, 150.0], [211.0, 147.0]], ('7.75', 0.9848323464393616)], [[[42.0, 161.0], [92.0, 166.0], [90.0, 180.0], [41.0, 175.0]], ('SUBTOTAL:', 0.9851296544075012)], [[[102.0, 153.0], [189.0, 158.0], [189.0, 172.0], [102.0, 168.0]], ('1Arancinohes', 0.8485397696495056)], [[[214.0, 160.0], [237.0, 160.0], [237.0, 175.0], [214.0, 175.0]], ('5.75', 0.9951199293136597)], [[[42.0, 176.0], [97.0, 178.0], [97.0, 192.0], [41.0, 190.0]], ('Terminal C', 0.9177466630935669)], [[[136.0, 178.0], [183.0, 182.0], [182.0, 196.0], [135.0, 193.0]], ('T#0000072', 0.9887716770172119)], [[[211.0, 174.0], [236.0, 174.0], [236.0, 186.0], [211.0, 186.0]], ('41.00', 0.993491530418396)], [[[42.0, 188.0], [102.0, 191.0], [101.0, 205.0], [41.0, 202.0]], ('TOTAL:', 0.953681230545044)], [[[179.0, 194.0], [236.0, 197.0], [236.0, 211.0], [178.0, 208.0]], ('41.00', 0.9948779940605164)], [[[44.0, 214.0], [143.0, 219.0], [143.0, 233.0], [43.0, 228.0]], ('Sales-VAT VAT Rate', 0.9270706176757812)], [[[153.0, 219.0], [192.0, 221.0], [191.0, 235.0], [152.0, 233.0]], ('VAT Ant', 0.9357026219367981)], [[[209.0, 220.0], [238.0, 222.0], [236.0, 237.0], [208.0, 235.0]], ('rootr', 0.5279208421707153)], [[[63.0, 230.0], [94.0, 230.0], [94.0, 244.0], [63.0, 244.0]], ('34.17', 0.9929519891738892)], [[[108.0, 230.0], [143.0, 232.0], [142.0, 246.0], [107.0, 244.0]], ('20.00', 0.909284770488739)], [[[167.0, 234.0], [191.0, 234.0], [191.0, 246.0], [167.0, 246.0]], ('89', 0.6275413036346436)], [[[209.0, 233.0], [239.0, 235.0], [238.0, 250.0], [208.0, 248.0]], ('41.00', 0.9936159253120422)], [[[35.0, 255.0], [137.0, 258.0], [137.0, 272.0], [34.0, 269.0]], ('Food excl Set Menus', 0.8554579019546509)], [[[34.0, 269.0], [141.0, 271.0], [141.0, 285.0], [34.0, 283.0]], ('Drink excl Set Menus', 0.9355179071426392)], [[[210.0, 260.0], [239.0, 260.0], [239.0, 274.0], [210.0, 274.0]], ('36.20', 0.9874610900878906)], [[[216.0, 274.0], [238.0, 274.0], [238.0, 286.0], [216.0, 286.0]], ('4.80', 0.9851911067962646)], [[[33.0, 300.0], [107.0, 300.0], [107.0, 312.0], [33.0, 312.0]], ('Last Serviced', 0.9819138646125793)], [[[143.0, 298.0], [240.0, 299.0], [240.0, 313.0], [143.0, 312.0]], ('09/04/2015 16:34:24', 0.931333065032959)], [[[40.0, 344.0], [228.0, 344.0], [228.0, 357.0], [40.0, 357.0]], ('Tips & Gratuities are discretionary', 0.9540126323699951)], [[[25.0, 360.0], [239.0, 357.0], [239.0, 371.0], [25.0, 374.0]], ('except for groups of 8 or more where an', 0.9414318799972534)], [[[23.0, 374.0], [240.0, 370.0], [240.0, 387.0], [23.0, 391.0]], ('optional service charge of 10% has been', 0.9377795457839966)], [[[120.0, 390.0], [156.0, 390.0], [156.0, 404.0], [120.0, 404.0]], ('added.', 0.9949913024902344)], [[[79.0, 424.0], [194.0, 420.0], [194.0, 435.0], [79.0, 439.0]], ('How did we do today?', 0.9468518495559692)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "09/04/2015 09/04/2015", "time": "15:53:03 16:34:24", "subtotal": "34.17", "tax": "6.83", "total": "\u00a341.00 41.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "1Arancini", "item_value": "41.00", "item_quantity": "1"}, {"item_key": "", "item_name": "2Sprite", "item_value": "5.75", "item_quantity": "1"}, {"item_key": "", "item_name": "1P.Margherita", "item_value": "4.80", "item_quantity": "1"}, {"item_key": "", "item_name": "1PenneDellaCasa", "item_value": "7.75", "item_quantity": "1"}, {"item_key": "", "item_name": "1KingPrawnLing", "item_value": "10.75", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "11.95", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[243.0, 193.0], [358.0, 200.0], [356.0, 233.0], [241.0, 225.0]], ('TASMAC LTD', 0.9616963267326355)], [[[161.0, 224.0], [421.0, 240.0], [419.0, 271.0], [159.0, 256.0]], ('CHENNAI PHOENIX MALLG', 0.9495560526847839)], [[[204.0, 264.0], [284.0, 269.0], [282.0, 298.0], [202.0, 293.0]], ('CHENNAI', 0.9964524507522583)], [[[15.0, 281.0], [216.0, 298.0], [213.0, 326.0], [13.0, 309.0]], ('DATE01/07/2017', 0.9769926071166992)], [[[345.0, 272.0], [392.0, 272.0], [392.0, 304.0], [345.0, 304.0]], ('TMN', 0.9937835335731506)], [[[305.0, 303.0], [478.0, 310.0], [477.0, 341.0], [304.0, 334.0]], ('TIME19:37:27', 0.9502654671669006)], [[[15.0, 318.0], [270.0, 337.0], [268.0, 365.0], [13.0, 346.0]], ('MID470000050632093', 0.9942477345466614)], [[[302.0, 338.0], [474.0, 347.0], [473.0, 377.0], [301.0, 368.0]], ('TID62530653', 0.9943234920501709)], [[[14.0, 352.0], [223.0, 367.0], [220.0, 398.0], [12.0, 383.0]], ('BATCHNO001000', 0.9796832203865051)], [[[301.0, 374.0], [521.0, 385.0], [520.0, 413.0], [300.0, 402.0]], ('INVOICE NO019086', 0.9353036880493164)], [[[244.0, 403.0], [335.0, 408.0], [333.0, 440.0], [242.0, 435.0]], ('SALE', 0.9985103607177734)], [[[13.0, 421.0], [377.0, 447.0], [375.0, 478.0], [11.0, 452.0]], ('CARD**********8164 SWIPE', 0.9288100600242615)], [[[12.0, 456.0], [249.0, 472.0], [247.0, 500.0], [10.0, 485.0]], ('CARD TYPE:VISA CARD', 0.9227337837219238)], [[[294.0, 478.0], [474.0, 484.0], [473.0, 513.0], [293.0, 506.0]], ('EXP DATE', 0.8694488406181335)], [[[12.0, 493.0], [215.0, 498.0], [214.0, 527.0], [11.0, 521.0]], ('APPR CODE943617', 0.9545995593070984)], [[[291.0, 507.0], [494.0, 518.0], [492.0, 548.0], [289.0, 537.0]], ('RRN000000020330', 0.966888427734375)], [[[11.0, 567.0], [83.0, 567.0], [83.0, 601.0], [11.0, 601.0]], ('AMT', 0.9975759983062744)], [[[364.0, 574.0], [497.0, 587.0], [493.0, 618.0], [360.0, 605.0]], ('755.00', 0.9990852475166321)], [[[181.0, 703.0], [367.0, 706.0], [366.0, 741.0], [181.0, 738.0]], ('DIPANKAR MUKHERJEE', 0.9660143256187439)], [[[159.0, 805.0], [377.0, 797.0], [379.0, 835.0], [160.0, 843.0]], ('* CUSTOMER COPY ***', 0.8717900514602661)]]	{"store_name": "ICICIBank", "store_addr": "TMN CHENNAI CHENNAIPHOENIXMALL,G1", "telephone": "", "date": "01/07/2017", "time": "19:37:27", "subtotal": "", "tax": "", "total": "755.00", "ignore": "", "tips": "", "line_items": []}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[21.0, 14.0], [219.0, 14.0], [219.0, 30.0], [21.0, 30.0]], ("YALE'SBOUTIQUE", 0.9458399415016174)], [[[72.0, 38.0], [166.0, 38.0], [166.0, 51.0], [72.0, 51.0]], ('SALES RECEIPT', 0.9697154760360718)], [[[44.0, 70.0], [192.0, 71.0], [192.0, 81.0], [44.0, 80.0]], ('THANKSFOR COMING TOMY10BRTHDAY', 0.8844467401504517)], [[[53.0, 79.0], [184.0, 80.0], [184.0, 91.0], [53.0, 90.0]], ('MALL SCAVENGEK HUNT CELEBRATION', 0.9090421795845032)], [[[45.0, 100.0], [191.0, 100.0], [191.0, 110.0], [45.0, 110.0]], ('A FRIENDIS SOMEONE WHO GIVES YOU', 0.9190661907196045)], [[[58.0, 110.0], [181.0, 110.0], [181.0, 120.0], [58.0, 120.0]], ('TOTAL FREEDOM TO BE YOURSELF', 0.8995872139930725)], [[[96.0, 120.0], [142.0, 120.0], [142.0, 129.0], [96.0, 129.0]], ('Jirn Morrison', 0.8799699544906616)], [[[9.0, 149.0], [58.0, 149.0], [58.0, 158.0], [9.0, 158.0]], ('LOTS OF FUN', 0.8912532925605774)], [[[203.0, 148.0], [224.0, 148.0], [224.0, 159.0], [203.0, 159.0]], ('0.00', 0.989875316619873)], [[[9.0, 158.0], [82.0, 158.0], [82.0, 169.0], [9.0, 169.0]], ('AWESOME ERIENDS', 0.9574642181396484)], [[[203.0, 158.0], [224.0, 158.0], [224.0, 169.0], [203.0, 169.0]], ('0.00', 0.9929347038269043)], [[[9.0, 169.0], [79.0, 169.0], [79.0, 179.0], [9.0, 179.0]], ('GREAT PURCHASES', 0.9579324126243591)], [[[202.0, 169.0], [224.0, 169.0], [224.0, 180.0], [202.0, 180.0]], ('0.00', 0.9900556802749634)], [[[9.0, 180.0], [88.0, 180.0], [88.0, 189.0], [9.0, 189.0]], ('BIRTHDAY MEMORIES', 0.941104531288147)], [[[202.0, 181.0], [222.0, 181.0], [222.0, 188.0], [202.0, 188.0]], ('000', 0.9556119441986084)], [[[72.0, 199.0], [98.0, 199.0], [98.0, 210.0], [72.0, 210.0]], ('TOTAL', 0.9969087839126587)], [[[182.0, 199.0], [221.0, 199.0], [221.0, 210.0], [182.0, 210.0]], ('PRICELESS', 0.9931505918502808)], [[[8.0, 229.0], [137.0, 229.0], [137.0, 242.0], [8.0, 242.0]], ('VALECARD2013', 0.8210947513580322)], [[[9.0, 241.0], [80.0, 241.0], [80.0, 251.0], [9.0, 251.0]], ('APPROVA#01234', 0.9397595524787903)], [[[9.0, 251.0], [80.0, 251.0], [80.0, 261.0], [9.0, 261.0]], ('REF#0123456789', 0.9519781470298767)], [[[76.0, 271.0], [157.0, 271.0], [157.0, 281.0], [76.0, 281.0]], ('02/02/201313:35:59', 0.9391193389892578)], [[[81.0, 293.0], [132.0, 293.0], [132.0, 302.0], [81.0, 302.0]], ('CHANGEDUE', 0.9825919270515442)], [[[204.0, 292.0], [225.0, 292.0], [225.0, 303.0], [204.0, 303.0]], ('0.00', 0.9213650822639465)], [[[74.0, 350.0], [158.0, 351.0], [158.0, 364.0], [74.0, 363.0]], ('END COPY***', 0.8092653751373291)]]	{"store_name": "VALE'SBOUTIQUE", "store_addr": "", "telephone": "", "date": "02/02/2013", "time": "13:35:59", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LOTSOFFUN", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "AWESOMEFRIENDS", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GREATPURCHASES", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BIRTHDAYMEMORIES", "item_value": "0.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[107.0, 55.0], [175.0, 55.0], [175.0, 76.0], [107.0, 76.0]], ('maze', 0.9970835447311401)], [[[106.0, 75.0], [173.0, 75.0], [173.0, 100.0], [106.0, 100.0]], ('GRILL', 0.9963375329971313)], [[[107.0, 99.0], [174.0, 100.0], [174.0, 112.0], [107.0, 110.0]], ('GORDON RAMSAY', 0.9349595308303833)], [[[95.0, 122.0], [185.0, 125.0], [185.0, 139.0], [95.0, 137.0]], ('10-13 Grosvenor Square', 0.8913646936416626)], [[[122.0, 145.0], [154.0, 145.0], [154.0, 159.0], [122.0, 159.0]], ('W1K6JP', 0.9172835946083069)], [[[124.0, 136.0], [153.0, 136.0], [153.0, 147.0], [124.0, 147.0]], ('London', 0.9774158596992493)], [[[109.0, 164.0], [166.0, 166.0], [165.0, 180.0], [109.0, 178.0]], ('02071070001', 0.9859653115272522)], [[[51.0, 185.0], [117.0, 187.0], [117.0, 200.0], [51.0, 198.0]], ('Server:Mary lou', 0.9127435088157654)], [[[50.0, 196.0], [125.0, 197.0], [124.0, 211.0], [50.0, 210.0]], ('24/04/1312:03pn', 0.9109770655632019)], [[[52.0, 210.0], [108.0, 210.0], [108.0, 221.0], [52.0, 221.0]], ('Table No:206', 0.8782164454460144)], [[[142.0, 208.0], [188.0, 208.0], [188.0, 222.0], [142.0, 222.0]], ('Covers:1', 0.9536054134368896)], [[[50.0, 232.0], [101.0, 232.0], [101.0, 246.0], [50.0, 246.0]], ('Seat 1]-', 0.838369607925415)], [[[56.0, 242.0], [121.0, 244.0], [120.0, 258.0], [55.0, 256.0]], ('1 Cover Charge', 0.9163408875465393)], [[[204.0, 252.0], [231.0, 255.0], [230.0, 270.0], [203.0, 267.0]], ('8.00', 0.9055356383323669)], [[[205.0, 243.0], [230.0, 243.0], [230.0, 255.0], [205.0, 255.0]], ('2.00', 0.9713627099990845)], [[[56.0, 255.0], [110.0, 255.0], [110.0, 269.0], [56.0, 269.0]], ('1Whitebait', 0.9323099255561829)], [[[54.0, 267.0], [123.0, 265.0], [124.0, 279.0], [55.0, 281.0]], ('1 Sushi Platter', 0.912711501121521)], [[[201.0, 266.0], [231.0, 266.0], [231.0, 280.0], [201.0, 280.0]], ('12.00', 0.9336384534835815)], [[[80.0, 291.0], [132.0, 291.0], [132.0, 305.0], [80.0, 305.0]], ('yg s 1', 0.5012311339378357)], [[[203.0, 290.0], [228.0, 290.0], [228.0, 302.0], [203.0, 302.0]], ('2.50', 0.9903528690338135)], [[[97.0, 303.0], [134.0, 303.0], [134.0, 317.0], [97.0, 317.0]], ('Ant.Due', 0.899337887763977)], [[[173.0, 302.0], [227.0, 302.0], [227.0, 316.0], [173.0, 316.0]], ('24.50', 0.994379997253418)], [[[74.0, 328.0], [134.0, 325.0], [134.0, 342.0], [74.0, 345.0]], ('VAT Inc luded', 0.9173755049705505)], [[[203.0, 326.0], [230.0, 326.0], [230.0, 342.0], [203.0, 342.0]], ('3.66', 0.9771936535835266)], [[[115.0, 356.0], [160.0, 356.0], [160.0, 370.0], [115.0, 370.0]], ('Thank You', 0.9507867097854614)], [[[69.0, 369.0], [204.0, 368.0], [204.0, 383.0], [69.0, 384.0]], ('Includes VAT at current rate.', 0.9423690438270569)], [[[64.0, 384.0], [213.0, 382.0], [214.0, 395.0], [64.0, 397.0]], ('VAT No:858 9508 63Inv No:33830', 0.8946009874343872)], [[[44.0, 398.0], [235.0, 395.0], [236.0, 409.0], [44.0, 412.0]], ('For more informat ion on all Gordon Ransay', 0.9364911913871765)], [[[40.0, 413.0], [234.0, 409.0], [235.0, 423.0], [40.0, 427.0]], ('restaurants please visit ww.gordonransay', 0.9387090802192688)], [[[39.0, 429.0], [56.0, 429.0], [56.0, 440.0], [39.0, 440.0]], ('COn', 0.572799026966095)]]	{"store_name": "GRILL maze", "store_addr": "W1K6JP London 10-13 GrosvenorSquare", "telephone": "02071070001", "date": "24/04/13", "time": "12:03pm", "subtotal": "", "tax": "\u00a33.66", "total": "\u00a324.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SushiPlatter", "item_value": "\u00a312.00", "item_quantity": "1"}, {"item_key": "", "item_name": "whitebait", "item_value": "\u00a38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CoverCharge", "item_value": "\u00a32.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[140.0, 50.0], [353.0, 48.0], [353.0, 65.0], [140.0, 67.0]], ('We lcome to Dunkin Donuts', 0.9090347290039062)], [[[192.0, 68.0], [305.0, 68.0], [305.0, 81.0], [192.0, 81.0]], ('Store #345119', 0.9623536467552185)], [[[124.0, 81.0], [376.0, 81.0], [376.0, 101.0], [124.0, 101.0]], ('1651 Harrisburg Pike,Calisle', 0.9425715208053589)], [[[177.0, 101.0], [351.0, 101.0], [351.0, 115.0], [177.0, 115.0]], ('11/5/2013 9:06:38PM', 0.9431450366973877)], [[[204.0, 120.0], [313.0, 120.0], [313.0, 144.0], [204.0, 144.0]], ('Eat In', 0.9455614686012268)], [[[77.0, 147.0], [318.0, 141.0], [319.0, 174.0], [78.0, 181.0]], ('Order Number:', 0.9499021768569946)], [[[345.0, 143.0], [406.0, 143.0], [406.0, 172.0], [345.0, 172.0]], ('046', 0.9984143376350403)], [[[262.0, 189.0], [451.0, 184.0], [451.0, 208.0], [262.0, 213.0]], ('Tran Seq No:622046', 0.9268883466720581)], [[[74.0, 199.0], [172.0, 188.0], [174.0, 208.0], [76.0, 218.0]], ('Register:2', 0.9876123666763306)], [[[74.0, 214.0], [236.0, 205.0], [237.0, 229.0], [75.0, 238.0]], ('Cashier:ROBERT L.', 0.9063994288444519)], [[[100.0, 250.0], [280.0, 244.0], [281.0, 271.0], [101.0, 278.0]], ('SpcSsg FRD AM EngM', 0.941740870475769)], [[[420.0, 245.0], [464.0, 245.0], [464.0, 267.0], [420.0, 267.0]], ('3.49', 0.9975947141647339)], [[[76.0, 259.0], [85.0, 259.0], [85.0, 271.0], [76.0, 271.0]], ('1', 0.5808272361755371)], [[[405.0, 267.0], [466.0, 263.0], [467.0, 288.0], [406.0, 292.0]], ('0.35)', 0.9061799049377441)], [[[77.0, 278.0], [83.0, 278.0], [83.0, 287.0], [77.0, 287.0]], ('-', 0.8752943873405457)], [[[101.0, 278.0], [204.0, 268.0], [206.0, 289.0], [103.0, 299.0]], ('Senior 10%', 0.9661003351211548)], [[[100.0, 317.0], [213.0, 308.0], [215.0, 333.0], [102.0, 342.0]], ('Sub.Total', 0.9703558683395386)], [[[421.0, 311.0], [476.0, 306.0], [479.0, 329.0], [424.0, 334.0]], ('$3.14', 0.9950686693191528)], [[[101.0, 337.0], [145.0, 340.0], [144.0, 362.0], [100.0, 359.0]], ('Tax:', 0.9767155051231384)], [[[424.0, 334.0], [480.0, 329.0], [482.0, 351.0], [427.0, 356.0]], ('$0.19', 0.9954792857170105)], [[[100.0, 358.0], [166.0, 361.0], [165.0, 385.0], [99.0, 383.0]], ('Total:', 0.9826987385749817)], [[[428.0, 357.0], [485.0, 352.0], [487.0, 375.0], [431.0, 380.0]], ('$3.33', 0.9945777654647827)], [[[97.0, 382.0], [261.0, 379.0], [261.0, 406.0], [97.0, 409.0]], ('Discount Total:', 0.9691762924194336)], [[[413.0, 381.0], [487.0, 375.0], [490.0, 399.0], [416.0, 406.0]], ('$0.35', 0.9925420880317688)], [[[97.0, 426.0], [168.0, 431.0], [166.0, 454.0], [95.0, 449.0]], ('Change', 0.9980849623680115)], [[[439.0, 429.0], [499.0, 422.0], [502.0, 446.0], [442.0, 454.0]], ('$0.00', 0.9969350695610046)], [[[96.0, 451.0], [157.0, 453.0], [156.0, 478.0], [95.0, 475.0]], ('Visa:', 0.9761301875114441)], [[[443.0, 455.0], [504.0, 446.0], [508.0, 470.0], [447.0, 479.0]], ('$3.33', 0.99573814868927)], [[[221.0, 541.0], [362.0, 539.0], [363.0, 581.0], [222.0, 583.0]], ('HEY AMERICA!', 0.965002715587616)], [[[141.0, 617.0], [454.0, 605.0], [455.0, 633.0], [142.0, 644.0]], ('MEDIUM OR LARGER BEVERAGE?', 0.9651501178741455)], [[[103.0, 648.0], [497.0, 635.0], [498.0, 665.0], [104.0, 679.0]], ('Go to www.telldunkin.com on your', 0.9389930367469788)], [[[382.0, 668.0], [526.0, 664.0], [526.0, 685.0], [382.0, 688.0]], ('in.the.next', 0.8989719748497009)]]	{"store_name": "WelcometoDunkin'Donuts", "store_addr": "1651HarrisburgPike,Calisle", "telephone": "", "date": "11/5/2013", "time": "9:06:38PM", "subtotal": "$3.14", "tax": "$0.19", "total": "$3.33", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SpcSsgFRDAMEngM", "item_value": "3.49", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[115.0, 51.0], [172.0, 40.0], [175.0, 58.0], [118.0, 69.0]], ('Manilg', 0.8261057734489441)], [[[203.0, 86.0], [263.0, 79.0], [265.0, 93.0], [205.0, 100.0]], ('y Espinosa', 0.9469586610794067)], [[[31.0, 129.0], [154.0, 125.0], [154.0, 146.0], [32.0, 150.0]], ('Mesa9Camarero:9', 0.8582332134246826)], [[[29.0, 149.0], [178.0, 144.0], [178.0, 163.0], [30.0, 167.0]], ('2116:5326/01/2018Factura4633', 0.907511293888092)], [[[258.0, 169.0], [281.0, 169.0], [281.0, 191.0], [258.0, 191.0]], ('7.80', 0.7858129739761353)], [[[48.0, 179.0], [102.0, 179.0], [102.0, 193.0], [48.0, 193.0]], ('COGOLLITOS', 0.7650888562202454)], [[[44.0, 194.0], [103.0, 194.0], [103.0, 205.0], [44.0, 205.0]], ('JEUIE HUEVOS', 0.628650426864624)], [[[39.0, 205.0], [106.0, 205.0], [106.0, 219.0], [39.0, 219.0]], ('1BAO BUMPATA', 0.8505010008811951)], [[[34.0, 219.0], [106.0, 219.0], [106.0, 233.0], [34.0, 233.0]], ('1DDRADA PILSEN', 0.8490090370178223)], [[[29.0, 233.0], [109.0, 233.0], [109.0, 250.0], [29.0, 250.0]], ('1DORADAESPECIAL', 0.9121717214584351)], [[[24.0, 248.0], [75.0, 248.0], [75.0, 269.0], [24.0, 269.0]], ('CORTADO', 0.8800201416015625)], [[[266.0, 247.0], [293.0, 247.0], [293.0, 269.0], [266.0, 269.0]], ('0,90', 0.9685354828834534)], [[[172.0, 285.0], [295.0, 287.0], [295.0, 304.0], [171.0, 302.0]], ('Subtotal...23.70', 0.9156883955001831)], [[[43.0, 299.0], [82.0, 299.0], [82.0, 314.0], [43.0, 314.0]], ('8.1mp', 0.6879619359970093)], [[[98.0, 298.0], [243.0, 302.0], [243.0, 319.0], [97.0, 314.0]], ('23,70 IGIC Incluido', 0.8806403279304504)], [[[99.0, 334.0], [298.0, 341.0], [297.0, 372.0], [98.0, 365.0]], ('TOTAL...23.70', 0.9175535440444946)], [[[26.0, 377.0], [253.0, 387.0], [252.0, 404.0], [26.0, 395.0]], ('F822.775032 NIF:43828204W', 0.9039933085441589)], [[[40.0, 393.0], [239.0, 403.0], [238.0, 420.0], [39.0, 411.0]], ('sst.rcaanila1913@gmai1.com', 0.8343932628631592)]]	{"store_name": "Manita", "store_addr": "", "telephone": "", "date": "26/01/2018", "time": "21:16:53", "subtotal": "23.70", "tax": "", "total": "23,70 23,70", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DORADAESPECIAL", "item_value": "0.90", "item_quantity": "1"}, {"item_key": "", "item_name": "DORADAPILSEN", "item_value": "1.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BAOBUMPATA", "item_value": "1.40", "item_quantity": "1"}, {"item_key": "", "item_name": "FOIEHUEVOS", "item_value": "3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "8.60", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "7.80", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[50.0, 13.0], [264.0, 1.0], [265.0, 18.0], [51.0, 30.0]], ('Le Wazawan Medieval Restaurant', 0.9444907307624817)], [[[72.0, 27.0], [240.0, 17.0], [241.0, 34.0], [73.0, 45.0]], ('356-948. Saga World.Jumeriah', 0.9172910451889038)], [[[100.0, 43.0], [212.0, 32.0], [213.0, 46.0], [101.0, 57.0]], ('DUBAI.DUBAI 127483', 0.9352084398269653)], [[[119.0, 56.0], [194.0, 48.0], [195.0, 61.0], [120.0, 69.0]], ('+971508496334', 0.9941128492355347)], [[[74.0, 85.0], [246.0, 72.0], [248.0, 88.0], [75.0, 101.0]], ('PACKAGER RECEIPT ', 0.891937255859375)], [[[222.0, 105.0], [278.0, 100.0], [280.0, 114.0], [223.0, 119.0]], ('Station 1', 0.9487476348876953)], [[[45.0, 115.0], [142.0, 109.0], [143.0, 126.0], [46.0, 132.0]], ('Server:VICTORIA', 0.9658699631690979)], [[[131.0, 127.0], [191.0, 123.0], [192.0, 137.0], [132.0, 141.0]], ('Take Out', 0.9478881359100342)], [[[46.0, 144.0], [104.0, 141.0], [105.0, 158.0], [47.0, 161.0]], ('29-Sep-18', 0.9847662448883057)], [[[213.0, 136.0], [279.0, 130.0], [281.0, 144.0], [214.0, 150.0]], ('11:46:30AM', 0.9352099299430847)], [[[354.0, 158.0], [410.0, 152.0], [432.0, 358.0], [375.0, 364.0]], ('000', 0.8419966101646423)], [[[48.0, 175.0], [102.0, 171.0], [103.0, 187.0], [49.0, 190.0]], ('Walk In', 0.9049540162086487)], [[[248.0, 194.0], [289.0, 192.0], [290.0, 207.0], [249.0, 209.0]], ('40.00', 0.9960790872573853)], [[[50.0, 206.0], [59.0, 206.0], [59.0, 219.0], [50.0, 219.0]], ('2', 0.9977149963378906)], [[[78.0, 204.0], [123.0, 201.0], [124.0, 216.0], [79.0, 219.0]], ('COFFEE', 0.9970464706420898)], [[[256.0, 209.0], [289.0, 207.0], [291.0, 222.0], [257.0, 224.0]], ('5.00', 0.9975879788398743)], [[[50.0, 221.0], [59.0, 221.0], [59.0, 233.0], [50.0, 233.0]], ('1', 0.9861461520195007)], [[[78.0, 219.0], [173.0, 215.0], [174.0, 229.0], [79.0, 233.0]], ('C0-OP Cookies', 0.8919796347618103)], [[[256.0, 239.0], [285.0, 237.0], [287.0, 253.0], [257.0, 256.0]], ('0.00', 0.9963480234146118)], [[[50.0, 251.0], [128.0, 247.0], [129.0, 262.0], [51.0, 266.0]], ('Bar Subtotal:', 0.9304901361465454)], [[[252.0, 255.0], [286.0, 253.0], [288.0, 268.0], [253.0, 271.0]], ('45.00', 0.9941082000732422)], [[[50.0, 266.0], [134.0, 263.0], [135.0, 277.0], [51.0, 280.0]], ('Food Subtotal:', 0.9471955895423889)], [[[226.0, 288.0], [294.0, 283.0], [295.0, 298.0], [227.0, 303.0]], ('AED.45.00', 0.9923126697540283)], [[[50.0, 295.0], [97.0, 292.0], [98.0, 310.0], [51.0, 313.0]], ('TOTAL:', 0.9716992974281311)], [[[238.0, 303.0], [290.0, 299.0], [291.0, 313.0], [239.0, 317.0]], ('AED45.00', 0.9910964965820312)], [[[54.0, 345.0], [90.0, 345.0], [90.0, 355.0], [54.0, 355.0]], ('*', 0.6303686499595642)], [[[129.0, 356.0], [214.0, 350.0], [215.0, 364.0], [130.0, 370.0]], ('Ticket #2', 0.9396851658821106)], [[[124.0, 373.0], [212.0, 367.0], [213.0, 381.0], [125.0, 387.0]], ('0rder#33698', 0.9572932720184326)], [[[171.0, 389.0], [295.0, 381.0], [296.0, 393.0], [171.0, 400.0]], ('******************', 0.8337839841842651)]]	{"store_name": "LeWazawanNedievelRestaurant", "store_addr": "DUBAI.DUBAI127483 356-948.Sagaworld.Jumeriah", "telephone": "+971508496334", "date": "29-Sep-18", "time": "11:46:30AM", "subtotal": "45.00 0.00", "tax": "", "total": "AED45.00 AED.45.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CO-OPCookies", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COFFEE", "item_value": "40.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[101.0, 3.0], [366.0, 11.0], [365.0, 33.0], [100.0, 25.0]], ("ROSANNA'S PASTA SHOP", 0.9509795904159546)], [[[402.0, 9.0], [448.0, 12.0], [448.0, 21.0], [402.0, 19.0]], ('ckspa', 0.9858134388923645)], [[[115.0, 29.0], [356.0, 33.0], [355.0, 56.0], [114.0, 52.0]], ('760760-753-6867', 0.9850760102272034)], [[[97.0, 107.0], [165.0, 107.0], [165.0, 124.0], [97.0, 124.0]], ('Check127', 0.9973138570785522)], [[[330.0, 106.0], [397.0, 106.0], [397.0, 122.0], [330.0, 122.0]], ('Tab DAVIO', 0.889507532119751)], [[[97.0, 125.0], [153.0, 125.0], [153.0, 141.0], [97.0, 141.0]], ('Saff #5', 0.9177514314651489)], [[[330.0, 122.0], [398.0, 121.0], [398.0, 138.0], [331.0, 139.0]], ('3/11/2017', 0.9972435832023621)], [[[96.0, 142.0], [181.0, 141.0], [181.0, 158.0], [97.0, 159.0]], ('PHONE ORDER', 0.9522369503974915)], [[[347.0, 139.0], [401.0, 139.0], [401.0, 157.0], [347.0, 157.0]], ('6:02PM', 0.934330940246582)], [[[118.0, 189.0], [189.0, 187.0], [190.0, 204.0], [119.0, 207.0]], ('SPAGHETTI', 0.9952817559242249)], [[[360.0, 182.0], [400.0, 182.0], [400.0, 201.0], [360.0, 201.0]], ('10,95', 0.9073125720024109)], [[[24.0, 216.0], [49.0, 219.0], [46.0, 245.0], [20.0, 242.0]], ('M', 0.9965938925743103)], [[[119.0, 208.0], [183.0, 205.0], [184.0, 222.0], [120.0, 224.0]], ('MARINARA', 0.9970918297767639)], [[[120.0, 226.0], [219.0, 224.0], [219.0, 240.0], [121.0, 242.0]], ('ADD MEATBALLS', 0.9657086133956909)], [[[366.0, 217.0], [399.0, 217.0], [399.0, 236.0], [366.0, 236.0]], ('3.00', 0.9938696622848511)], [[[121.0, 243.0], [191.0, 243.0], [191.0, 259.0], [121.0, 259.0]], ('SPAGHETTI', 0.9961445331573486)], [[[368.0, 237.0], [407.0, 237.0], [407.0, 255.0], [368.0, 255.0]], ('11.25', 0.9760030508041382)], [[[119.0, 261.0], [227.0, 261.0], [227.0, 278.0], [119.0, 278.0]], ('MUSHROOM SAUCE', 0.9764794111251831)], [[[114.0, 281.0], [211.0, 278.0], [211.0, 298.0], [115.0, 300.0]], ('Phone Number', 0.956688404083252)], [[[379.0, 276.0], [412.0, 276.0], [412.0, 295.0], [379.0, 295.0]], ('0.00', 0.9771099090576172)]]	{"store_name": "ROSANNA\u2019SPASTASHOP", "store_addr": "", "telephone": "(760)760-753-6867", "date": "3/11/2017", "time": "6:02PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SPAGHETTI", "item_value": "10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "MARINARA", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ADDMEATBALLS", "item_value": "11.25", "item_quantity": "1"}, {"item_key": "", "item_name": "SPAGHETTI", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MUSHROOMSAUCE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "PhoneNumber", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[169.0, 7.0], [306.0, 5.0], [306.0, 34.0], [170.0, 36.0]], ('OTARGET', 0.9850749969482422)], [[[142.0, 66.0], [206.0, 66.0], [206.0, 80.0], [142.0, 80.0]], ('01-12-2008', 0.990749716758728)], [[[282.0, 64.0], [330.0, 64.0], [330.0, 78.0], [282.0, 78.0]], ('5:16PM', 0.9496850371360779)], [[[128.0, 87.0], [341.0, 84.0], [341.0, 98.0], [128.0, 102.0]], ('STOCK ROOM LOCATE', 0.9629257321357727)], [[[96.0, 109.0], [237.0, 108.0], [237.0, 122.0], [96.0, 123.0]], ('DPT207CL25 ITM 0001', 0.9217736124992371)], [[[96.0, 121.0], [220.0, 119.0], [220.0, 132.0], [96.0, 134.0]], ('UPC 00492072500012', 0.9689162373542786)], [[[95.0, 132.0], [293.0, 128.0], [294.0, 142.0], [95.0, 147.0]], ('CLR UNSPEC SZ UNSPEC PTN UNSPEC', 0.9355661273002625)], [[[96.0, 145.0], [117.0, 145.0], [117.0, 157.0], [96.0, 157.0]], ('WII', 0.9647480845451355)], [[[176.0, 143.0], [213.0, 143.0], [213.0, 157.0], [176.0, 157.0]], ('WHITE', 0.9966260194778442)], [[[94.0, 177.0], [224.0, 175.0], [224.0, 190.0], [94.0, 192.0]], ('SALESFLOOR LOCATIONS', 0.9847482442855835)], [[[95.0, 202.0], [137.0, 202.0], [137.0, 216.0], [95.0, 216.0]], ('Aisle:', 0.9668499827384949)], [[[178.0, 202.0], [242.0, 202.0], [242.0, 213.0], [178.0, 213.0]], ('A01G391', 0.9169080853462219)], [[[93.0, 214.0], [238.0, 214.0], [238.0, 228.0], [93.0, 228.0]], ('Insert Date:1/12/2008', 0.9578354954719543)], [[[92.0, 237.0], [139.0, 239.0], [138.0, 253.0], [92.0, 250.0]], ('Aisle:', 0.9224885106086731)], [[[174.0, 238.0], [245.0, 236.0], [245.0, 250.0], [175.0, 252.0]], ('A01Z13', 0.947949230670929)], [[[92.0, 249.0], [238.0, 250.0], [238.0, 265.0], [92.0, 264.0]], ('Insert Date:1/12/2008', 0.9534801244735718)], [[[91.0, 296.0], [217.0, 299.0], [217.0, 313.0], [91.0, 311.0]], ('STOCKROOM LOCATIONS', 0.9805692434310913)], [[[161.0, 323.0], [303.0, 324.0], [303.0, 338.0], [161.0, 337.0]], ('Location in the store', 0.9398282170295715)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "", "date": "01-12-2008 1/12/2008 1/12/2008", "time": "5:16PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CLRUNSPECSZUNSPECPTNUNSPEC", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[66.0, 81.0], [159.0, 82.0], [158.0, 96.0], [66.0, 95.0]], ('MARGARITA GRILL', 0.9648134112358093)], [[[51.0, 92.0], [221.0, 94.0], [221.0, 108.0], [51.0, 105.0]], ('SUAREZ#321A COLONIA EMILIANO', 0.9444953799247742)], [[[187.0, 84.0], [215.0, 84.0], [215.0, 95.0], [187.0, 95.0]], ('PINO', 0.9762228727340698)], [[[64.0, 104.0], [197.0, 105.0], [197.0, 117.0], [64.0, 115.0]], ('ZAPATA PUERTO VALLARTA', 0.952120840549469)], [[[52.0, 116.0], [95.0, 116.0], [95.0, 127.0], [52.0, 127.0]], ('JALISCO', 0.9925869107246399)], [[[56.0, 123.0], [215.0, 126.0], [215.0, 140.0], [56.0, 138.0]], ('RFC SUSE701107Q98C P48380', 0.9325177073478699)], [[[123.0, 117.0], [197.0, 117.0], [197.0, 129.0], [123.0, 129.0]], ('TEL.22-2-97-55', 0.9496513605117798)], [[[48.0, 135.0], [223.0, 137.0], [223.0, 150.0], [48.0, 148.0]], ('REGIMEN DE INCORPACION FISCAL', 0.937231183052063)], [[[84.0, 157.0], [181.0, 159.0], [180.0, 172.0], [83.0, 170.0]], ('Comanda-50759', 0.9539995789527893)], [[[90.0, 148.0], [174.0, 148.0], [174.0, 161.0], [90.0, 161.0]], ('Control No.55243', 0.9297438263893127)], [[[67.0, 168.0], [202.0, 169.0], [202.0, 183.0], [67.0, 182.0]], ('Mesa No.-4 0A.Personas2', 0.8918758630752563)], [[[73.0, 179.0], [191.0, 180.0], [191.0, 194.0], [73.0, 193.0]], ('AtendioCHINO Turno1', 0.9004580974578857)], [[[47.0, 189.0], [232.0, 192.0], [232.0, 206.0], [47.0, 203.0]], ('Fecha02/02/2017 Hora0319.40 p.m', 0.9438487887382507)], [[[81.0, 211.0], [177.0, 213.0], [177.0, 226.0], [81.0, 224.0]], ('RECIBO DE VENTA', 0.9314538240432739)], [[[44.0, 222.0], [102.0, 224.0], [101.0, 238.0], [43.0, 236.0]], ('CANTDESC', 0.9936197996139526)], [[[174.0, 222.0], [230.0, 225.0], [229.0, 239.0], [174.0, 236.0]], ('LMPORTE', 0.9592946171760559)], [[[43.0, 256.0], [107.0, 258.0], [106.0, 272.0], [42.0, 270.0]], ('Comensal (2)', 0.9344367384910583)], [[[42.0, 281.0], [51.0, 281.0], [51.0, 290.0], [42.0, 290.0]], ('2', 0.9796801209449768)], [[[65.0, 278.0], [120.0, 280.0], [120.0, 294.0], [64.0, 292.0]], ('ICORONA', 0.9475617408752441)], [[[181.0, 279.0], [213.0, 282.0], [211.0, 297.0], [180.0, 294.0]], ('78.00', 0.9912652969360352)], [[[67.0, 290.0], [125.0, 292.0], [125.0, 306.0], [66.0, 303.0]], ('FAJITASC/', 0.9553645253181458)], [[[68.0, 301.0], [108.0, 304.0], [107.0, 318.0], [67.0, 315.0]], ('POLLO', 0.9963471293449402)], [[[177.0, 304.0], [212.0, 304.0], [212.0, 318.0], [177.0, 318.0]], ('169.00', 0.9552056193351746)], [[[42.0, 322.0], [134.0, 327.0], [133.0, 341.0], [41.0, 336.0]], ('Total Comensal (2)', 0.9133228659629822)], [[[175.0, 325.0], [213.0, 328.0], [212.0, 343.0], [174.0, 340.0]], ('247.00', 0.9922290444374084)], [[[69.0, 346.0], [121.0, 349.0], [121.0, 362.0], [69.0, 359.0]], ('TOTAL S', 0.8559619188308716)], [[[68.0, 359.0], [154.0, 360.0], [154.0, 374.0], [68.0, 373.0]], ('DOLARES(US) S', 0.9118878841400146)], [[[176.0, 351.0], [211.0, 351.0], [211.0, 365.0], [176.0, 365.0]], ('247.00', 0.989916980266571)], [[[179.0, 360.0], [212.0, 363.0], [210.0, 378.0], [178.0, 375.0]], ('13.72', 0.9773653745651245)], [[[42.0, 380.0], [247.0, 385.0], [247.0, 399.0], [42.0, 394.0]], ('scientos cuarenta y siete Pesos 00/1c0 MN.)', 0.9077835083007812)], [[[76.0, 392.0], [173.0, 395.0], [173.0, 406.0], [76.0, 403.0]], ('TIPNOT INCLUDED', 0.9614928364753723)], [[[94.0, 411.0], [189.0, 413.0], [189.0, 427.0], [94.0, 425.0]], ('Total de Articulos3', 0.9179892539978027)]]	{"store_name": "MARGARITAGRILL", "store_addr": "SUAREZ#321ACOLONIAEMILIANO ZAPATAPUERTOVALLARTA JALISCO", "telephone": "22-2-97-55", "date": "02/02/2017", "time": "03:19:40p.m.", "subtotal": "", "tax": "", "total": "247.00 247.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CORONA", "item_value": "78.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FAJITASC/", "item_value": "169.00", "item_quantity": "1"}, {"item_key": "", "item_name": "POLLO", "item_value": "", "item_quantity": ""}, {"item_key": "DESC", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[273.0, 28.0], [328.0, 28.0], [328.0, 57.0], [273.0, 57.0]], ('ALDI', 0.960525631904602)], [[[233.0, 59.0], [353.0, 55.0], [354.0, 80.0], [234.0, 85.0]], ('Store #86', 0.9456577301025391)], [[[96.0, 88.0], [506.0, 75.0], [507.0, 106.0], [97.0, 120.0]], ('3878 Vineyard Dr iveDunkirk,NY', 0.9369576573371887)], [[[220.0, 116.0], [366.0, 110.0], [367.0, 135.0], [221.0, 142.0]], ('wWW.ALDI.us', 0.7544355988502502)], [[[45.0, 176.0], [420.0, 161.0], [422.0, 190.0], [46.0, 206.0]], ('Your cashier today was Joella', 0.9341017603874207)], [[[458.0, 218.0], [518.0, 218.0], [518.0, 246.0], [458.0, 246.0]], ('6.94', 0.9892597794532776)], [[[534.0, 218.0], [567.0, 218.0], [567.0, 242.0], [534.0, 242.0]], ('FA', 0.9864188432693481)], [[[41.0, 233.0], [243.0, 223.0], [245.0, 254.0], [43.0, 264.0]], ('Ch Bot tom Round', 0.9520033001899719)], [[[455.0, 248.0], [518.0, 243.0], [520.0, 273.0], [457.0, 277.0]], ('2.79', 0.9798463582992554)], [[[538.0, 246.0], [569.0, 246.0], [569.0, 271.0], [538.0, 271.0]], ('FC', 0.9956501126289368)], [[[40.0, 261.0], [278.0, 253.0], [279.0, 284.0], [41.0, 292.0]], ('24 Pk Spring Water', 0.954924464225769)], [[[457.0, 279.0], [518.0, 274.0], [520.0, 304.0], [459.0, 309.0]], ('2.99', 0.9707505702972412)], [[[540.0, 277.0], [571.0, 277.0], [571.0, 302.0], [540.0, 302.0]], ('FA', 0.9981253743171692)], [[[40.0, 290.0], [225.0, 284.0], [226.0, 315.0], [41.0, 321.0]], ('Red Grape Bags', 0.9457232356071472)], [[[461.0, 308.0], [521.0, 308.0], [521.0, 336.0], [461.0, 336.0]], ('2.99', 0.9957675337791443)], [[[541.0, 306.0], [572.0, 306.0], [572.0, 332.0], [541.0, 332.0]], ('FA', 0.9978549480438232)], [[[40.0, 321.0], [191.0, 317.0], [192.0, 348.0], [41.0, 352.0]], ('Gala Apples', 0.9601495265960693)], [[[461.0, 340.0], [522.0, 335.0], [524.0, 362.0], [463.0, 367.0]], ('4.25', 0.9950947761535645)], [[[543.0, 337.0], [572.0, 337.0], [572.0, 363.0], [543.0, 363.0]], ('FA', 0.9973950386047363)], [[[40.0, 352.0], [163.0, 348.0], [164.0, 379.0], [41.0, 384.0]], ('HAM STEAK', 0.9605478644371033)], [[[461.0, 368.0], [525.0, 368.0], [525.0, 402.0], [461.0, 402.0]], ('5.68', 0.988990306854248)], [[[543.0, 370.0], [574.0, 370.0], [574.0, 396.0], [543.0, 396.0]], ('FA', 0.9978975057601929)], [[[41.0, 385.0], [282.0, 375.0], [283.0, 407.0], [43.0, 417.0]], ('Chicken Tenderloin', 0.9805727005004883)], [[[460.0, 402.0], [525.0, 397.0], [528.0, 430.0], [463.0, 435.0]], ('2.19', 0.9950405955314636)], [[[540.0, 400.0], [576.0, 400.0], [576.0, 429.0], [540.0, 429.0]], ('FA', 0.9973340630531311)], [[[44.0, 416.0], [270.0, 412.0], [270.0, 440.0], [44.0, 444.0]], ('Bf Smoked Sausage', 0.9558502435684204)], [[[462.0, 435.0], [527.0, 430.0], [529.0, 460.0], [465.0, 464.0]], ('6.49', 0.9940832257270813)], [[[540.0, 433.0], [578.0, 433.0], [578.0, 462.0], [540.0, 462.0]], ('FA', 0.9953724145889282)], [[[45.0, 449.0], [282.0, 443.0], [283.0, 469.0], [46.0, 475.0]], ('Thick Sliced Bacon', 0.9382625222206116)], [[[465.0, 468.0], [532.0, 468.0], [532.0, 495.0], [465.0, 495.0]], ('2.79', 0.9934554696083069)], [[[541.0, 468.0], [580.0, 468.0], [580.0, 493.0], [541.0, 493.0]], ('FA', 0.9965780377388)], [[[42.0, 479.0], [220.0, 475.0], [221.0, 506.0], [42.0, 510.0]], ('String Cheese', 0.9781995415687561)], [[[462.0, 501.0], [527.0, 496.0], [529.0, 526.0], [465.0, 530.0]], ('3.79', 0.9949164390563965)], [[[541.0, 497.0], [580.0, 497.0], [580.0, 526.0], [541.0, 526.0]], ('FA', 0.9970478415489197)], [[[45.0, 510.0], [231.0, 508.0], [232.0, 535.0], [46.0, 537.0]], ('Italian Cheese', 0.9788862466812134)], [[[465.0, 530.0], [530.0, 530.0], [530.0, 563.0], [465.0, 563.0]], ('2.89', 0.9812184572219849)], [[[547.0, 532.0], [578.0, 532.0], [578.0, 557.0], [547.0, 557.0]], ('FA', 0.9981264472007751)], [[[47.0, 543.0], [246.0, 543.0], [246.0, 568.0], [47.0, 568.0]], ('Butter Quarters', 0.9825668334960938)], [[[47.0, 574.0], [246.0, 574.0], [246.0, 600.0], [47.0, 600.0]], ('Butter Quarters', 0.976540744304657)], [[[464.0, 565.0], [527.0, 560.0], [529.0, 590.0], [466.0, 595.0]], ('2.89', 0.9940186738967896)], [[[547.0, 565.0], [578.0, 565.0], [578.0, 590.0], [547.0, 590.0]], ('FA', 0.9984744787216187)], [[[47.0, 605.0], [246.0, 605.0], [246.0, 631.0], [47.0, 631.0]], ('Butter Quarters', 0.9721654653549194)], [[[467.0, 598.0], [529.0, 598.0], [529.0, 625.0], [467.0, 625.0]], ('2.89', 0.9945894479751587)], [[[547.0, 598.0], [580.0, 598.0], [580.0, 622.0], [547.0, 622.0]], ('FA', 0.9979051351547241)], [[[468.0, 629.0], [530.0, 629.0], [530.0, 656.0], [468.0, 656.0]], ('1.64', 0.9900582432746887)], [[[545.0, 625.0], [583.0, 625.0], [583.0, 654.0], [545.0, 654.0]], ('FA', 0.9968744516372681)], [[[45.0, 636.0], [169.0, 632.0], [170.0, 663.0], [46.0, 668.0]], ('Banana WE', 0.9654965996742249)], [[[147.0, 666.0], [395.0, 662.0], [396.0, 693.0], [148.0, 697.0]], ('3.731bx0.44/1b', 0.9252792000770569)], [[[466.0, 688.0], [532.0, 683.0], [535.0, 716.0], [468.0, 721.0]], ('2.99', 0.9859548211097717)], [[[552.0, 684.0], [589.0, 684.0], [589.0, 713.0], [552.0, 713.0]], ('FA', 0.9981306195259094)], [[[46.0, 700.0], [288.0, 700.0], [288.0, 726.0], [46.0, 726.0]], ('Petite Yellow Pota', 0.9399909973144531)], [[[470.0, 721.0], [533.0, 716.0], [535.0, 746.0], [472.0, 750.0]], ('1.89', 0.9921727180480957)], [[[554.0, 715.0], [591.0, 715.0], [591.0, 744.0], [554.0, 744.0]], ('FA', 0.9977118372917175)], [[[44.0, 732.0], [262.0, 728.0], [263.0, 753.0], [44.0, 757.0]], ('Sweet 0nions 21b', 0.9243029356002808)], [[[472.0, 750.0], [536.0, 750.0], [536.0, 783.0], [472.0, 783.0]], ('2.69', 0.987992525100708)], [[[558.0, 750.0], [589.0, 750.0], [589.0, 776.0], [558.0, 776.0]], ('FA', 0.998185932636261)], [[[44.0, 761.0], [237.0, 757.0], [237.0, 788.0], [44.0, 792.0]], ('Sharp Shredded', 0.9580583572387695)], [[[471.0, 785.0], [534.0, 780.0], [537.0, 810.0], [474.0, 815.0]], ('0.69', 0.9877359867095947)], [[[560.0, 783.0], [591.0, 783.0], [591.0, 808.0], [560.0, 808.0]], ('FA', 0.9982411861419678)], [[[44.0, 794.0], [197.0, 794.0], [197.0, 820.0], [44.0, 820.0]], ('White Bread', 0.9626795053482056)], [[[42.0, 825.0], [195.0, 825.0], [195.0, 851.0], [42.0, 851.0]], ('Blueberries', 0.9941843152046204)], [[[475.0, 816.0], [536.0, 812.0], [538.0, 841.0], [477.0, 846.0]], ('1.99', 0.9950984120368958)], [[[558.0, 818.0], [591.0, 818.0], [591.0, 842.0], [558.0, 842.0]], ('FA', 0.9957103729248047)], [[[40.0, 854.0], [279.0, 852.0], [279.0, 884.0], [40.0, 886.0]], ('72 ct.Baby Wipes', 0.9486567974090576)], [[[479.0, 849.0], [540.0, 849.0], [540.0, 880.0], [479.0, 880.0]], ('1.29', 0.9930229783058167)], [[[560.0, 847.0], [596.0, 847.0], [596.0, 876.0], [560.0, 876.0]], ('NC', 0.9962092638015747)], [[[479.0, 882.0], [541.0, 882.0], [541.0, 909.0], [479.0, 909.0]], ('1.89', 0.9956910610198975)], [[[561.0, 880.0], [598.0, 880.0], [598.0, 909.0], [561.0, 909.0]], ('FC', 0.9958070516586304)], [[[46.0, 891.0], [237.0, 891.0], [237.0, 917.0], [46.0, 917.0]], ('Yogurt Raisins', 0.975710928440094)], [[[478.0, 913.0], [545.0, 913.0], [545.0, 946.0], [478.0, 946.0]], ('1.89', 0.9939208626747131)], [[[563.0, 913.0], [598.0, 913.0], [598.0, 944.0], [563.0, 944.0]], ('FC', 0.9971753358840942)], [[[47.0, 924.0], [237.0, 924.0], [237.0, 950.0], [47.0, 950.0]], ('Yogurt Raisins', 0.9695729613304138)], [[[43.0, 955.0], [240.0, 949.0], [241.0, 981.0], [44.0, 987.0]], ('Yogurt Raisins', 0.9729157090187073)], [[[481.0, 950.0], [543.0, 950.0], [543.0, 977.0], [481.0, 977.0]], ('1.89', 0.9943087100982666)], [[[563.0, 948.0], [600.0, 948.0], [600.0, 977.0], [563.0, 977.0]], ('FC', 0.9978265166282654)], [[[40.0, 988.0], [282.0, 984.0], [283.0, 1016.0], [40.0, 1020.0]], ('Pep Farm Goldfish', 0.957855761051178)], [[[483.0, 983.0], [545.0, 983.0], [545.0, 1010.0], [483.0, 1010.0]], ('1.89', 0.9934889078140259)], [[[563.0, 981.0], [600.0, 981.0], [600.0, 1012.0], [563.0, 1012.0]], ('FA', 0.9971044063568115)], [[[42.0, 1023.0], [282.0, 1017.0], [283.0, 1048.0], [42.0, 1054.0]], ('Pep Farm Goldfish', 0.9577493071556091)], [[[485.0, 1018.0], [547.0, 1018.0], [547.0, 1045.0], [485.0, 1045.0]], ('1.89', 0.9914109110832214)], [[[567.0, 1016.0], [603.0, 1016.0], [603.0, 1047.0], [567.0, 1047.0]], ('FA', 0.9977230429649353)], [[[40.0, 1058.0], [282.0, 1052.0], [283.0, 1083.0], [41.0, 1089.0]], ('Pep Farm Goldf ish', 0.9219319820404053)], [[[487.0, 1052.0], [549.0, 1052.0], [549.0, 1080.0], [487.0, 1080.0]], ('1.89', 0.9953715801239014)], [[[569.0, 1050.0], [605.0, 1050.0], [605.0, 1080.0], [569.0, 1080.0]], ('FA', 0.9977946281433105)], [[[40.0, 1093.0], [147.0, 1089.0], [148.0, 1120.0], [41.0, 1124.0]], ('2%MiTk', 0.801036536693573)], [[[487.0, 1087.0], [549.0, 1087.0], [549.0, 1115.0], [487.0, 1115.0]], ('1.65', 0.9949662685394287)], [[[571.0, 1087.0], [607.0, 1087.0], [607.0, 1116.0], [571.0, 1116.0]], ('FA', 0.9980137944221497)], [[[40.0, 1128.0], [280.0, 1122.0], [281.0, 1153.0], [41.0, 1159.0]], ('A11 Purpose Flour', 0.951431393623352)], [[[489.0, 1122.0], [551.0, 1122.0], [551.0, 1150.0], [489.0, 1150.0]], ('1.29', 0.995810866355896)], [[[572.0, 1122.0], [609.0, 1122.0], [609.0, 1153.0], [572.0, 1153.0]], ('FA', 0.9985809326171875)], [[[40.0, 1163.0], [240.0, 1158.0], [241.0, 1190.0], [41.0, 1194.0]], ('OJ From Concen', 0.9287741780281067)], [[[489.0, 1155.0], [554.0, 1155.0], [554.0, 1188.0], [489.0, 1188.0]], ('1.69', 0.994377613067627)], [[[574.0, 1159.0], [611.0, 1159.0], [611.0, 1188.0], [574.0, 1188.0]], ('FA', 0.9972442388534546)], [[[38.0, 1199.0], [240.0, 1193.0], [241.0, 1224.0], [39.0, 1230.0]], ('Pure 0live 0i1', 0.8620147705078125)], [[[489.0, 1192.0], [560.0, 1192.0], [560.0, 1225.0], [489.0, 1225.0]], ('3.19', 0.995406448841095)], [[[574.0, 1195.0], [614.0, 1195.0], [614.0, 1225.0], [574.0, 1225.0]], ('FA', 0.9970268607139587)], [[[40.0, 1236.0], [284.0, 1228.0], [285.0, 1259.0], [41.0, 1267.0]], ('App1 Ban Rasp Yog', 0.9367847442626953)], [[[490.0, 1228.0], [560.0, 1228.0], [560.0, 1261.0], [490.0, 1261.0]], ('0.79', 0.9929320216178894)], [[[578.0, 1232.0], [614.0, 1232.0], [614.0, 1263.0], [578.0, 1263.0]], ('FA', 0.9982379674911499)], [[[36.0, 1274.0], [296.0, 1265.0], [298.0, 1296.0], [37.0, 1306.0]], ('Honey Nut Cheerios', 0.9558653235435486)], [[[492.0, 1265.0], [563.0, 1265.0], [563.0, 1298.0], [492.0, 1298.0]], ('3.49', 0.9854085445404053)], [[[576.0, 1270.0], [618.0, 1270.0], [618.0, 1300.0], [576.0, 1300.0]], ('FA', 0.9958877563476562)], [[[494.0, 1299.0], [564.0, 1304.0], [562.0, 1339.0], [491.0, 1334.0]], ('0.69', 0.9808513522148132)], [[[34.0, 1311.0], [185.0, 1307.0], [186.0, 1340.0], [35.0, 1344.0]], ('Large Eggs', 0.9772676229476929)], [[[582.0, 1307.0], [620.0, 1307.0], [620.0, 1338.0], [582.0, 1338.0]], ('FA', 0.9977821707725525)], [[[34.0, 1348.0], [185.0, 1344.0], [186.0, 1377.0], [35.0, 1381.0]], ('Baby Bella', 0.8982836604118347)], [[[498.0, 1340.0], [565.0, 1340.0], [565.0, 1375.0], [498.0, 1375.0]], ('1.69', 0.9779636859893799)], [[[582.0, 1344.0], [622.0, 1344.0], [622.0, 1375.0], [582.0, 1375.0]], ('FA', 0.9959943294525146)], [[[34.0, 1421.0], [151.0, 1417.0], [152.0, 1450.0], [35.0, 1454.0]], ('SUBTOTAL', 0.9959694147109985)], [[[487.0, 1417.0], [565.0, 1417.0], [565.0, 1450.0], [487.0, 1450.0]], ('88.57', 0.9932529330253601)], [[[32.0, 1458.0], [102.0, 1453.0], [105.0, 1486.0], [34.0, 1491.0]], ('9.75', 0.9921214580535889)], [[[168.0, 1454.0], [417.0, 1454.0], [417.0, 1485.0], [168.0, 1485.0]], ('C-Taxable @8.000%', 0.9437281489372253)], [[[499.0, 1454.0], [569.0, 1454.0], [569.0, 1489.0], [499.0, 1489.0]], ('0.78', 0.9851453900337219)], [[[36.0, 1495.0], [117.0, 1490.0], [119.0, 1523.0], [38.0, 1528.0]], ('78.82', 0.995864987373352)], [[[170.0, 1492.0], [405.0, 1492.0], [405.0, 1524.0], [170.0, 1524.0]], ('A-Taxable @0.00%', 0.9319000244140625)], [[[501.0, 1492.0], [571.0, 1492.0], [571.0, 1525.0], [501.0, 1525.0]], ('0.00', 0.976098358631134)], [[[36.0, 1531.0], [187.0, 1525.0], [188.0, 1558.0], [37.0, 1564.0]], ('AMOUNT DUE', 0.9700303077697754)], [[[490.0, 1529.0], [571.0, 1529.0], [571.0, 1562.0], [490.0, 1562.0]], ('89.35', 0.9905914068222046)], [[[36.0, 1566.0], [298.0, 1560.0], [299.0, 1598.0], [37.0, 1604.0]], ('TOTAL', 0.9947183728218079)], [[[479.0, 1569.0], [629.0, 1569.0], [629.0, 1600.0], [479.0, 1600.0]], ('89.35', 0.9967290759086609)], [[[34.0, 1606.0], [158.0, 1602.0], [159.0, 1635.0], [35.0, 1639.0]], ('34 ITEMS', 0.9294430017471313)], [[[35.0, 1643.0], [104.0, 1643.0], [104.0, 1678.0], [35.0, 1678.0]], ('Cash', 0.9964379072189331)], [[[481.0, 1639.0], [575.0, 1643.0], [573.0, 1678.0], [479.0, 1673.0]], ('100.00', 0.9895033836364746)], [[[40.0, 1720.0], [188.0, 1720.0], [188.0, 1751.0], [40.0, 1751.0]], ('CHANGE DUE', 0.968262791633606)], [[[498.0, 1718.0], [594.0, 1718.0], [594.0, 1756.0], [498.0, 1756.0]], ('-10.65', 0.9742083549499512)]]	{"store_name": "ALDI", "store_addr": "3878VineyardDrive,Dunkirk,NY", "telephone": "", "date": "", "time": "", "subtotal": "88.57", "tax": "0.00 0.78", "total": "89.35 89.35 TOTAL", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BabyBella", "item_value": "6.94", "item_quantity": "1"}, {"item_key": "", "item_name": "LargeEggs", "item_value": "2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "HoneyNutCheerios", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ApplBanRaspYog", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PureOliveOil", "item_value": "4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "OJFromConcen", "item_value": "5.68", "item_quantity": "1"}, {"item_key": "", "item_name": "AllPurposeFlour", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "2%Milk", "item_value": "6.49", "item_quantity": "1"}, {"item_key": "", "item_name": "PepFarmGoldfish", "item_value": "2.79", "item_quantity": "1"}, {"item_key": "", "item_name": "PepFarmGoldfish", "item_value": "3.79", "item_quantity": "1"}, {"item_key": "", "item_name": "PepFarmGoldfish", "item_value": "2.89", "item_quantity": "1"}, {"item_key": "", "item_name": "YogurtRaisins", "item_value": "2.89", "item_quantity": "1"}, {"item_key": "", "item_name": "YogurtRaisins", "item_value": "2.89", "item_quantity": "1"}, {"item_key": "", "item_name": "YogurtRaisins", "item_value": "1.64", "item_quantity": "1"}, {"item_key": "", "item_name": "72ct.BabyWipes", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Blueberries", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "WhiteBread", "item_value": "2.69", "item_quantity": "1"}, {"item_key": "", "item_name": "SharpShredded", "item_value": "0.69", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetOnions2lb", "item_value": "1.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PetiteYellowPota", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "BananaWE", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "ButterQuarters", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "ButterQuarters", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "ButterQuarters", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "ItalianCheese", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "StringCheese", "item_value": "1.89", "item_quantity": "1"}, {"item_key": "", "item_name": "ThickSlicedBacon", "item_value": "1.65", "item_quantity": "1"}, {"item_key": "", "item_name": "BfSmokedSausage", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "ChickenTenderloin", "item_value": "1.69", "item_quantity": "1"}, {"item_key": "", "item_name": "HAMSTEAK", "item_value": "3.19", "item_quantity": "1"}, {"item_key": "", "item_name": "GalaApples", "item_value": "0.79", "item_quantity": "1"}, {"item_key": "", "item_name": "RedGapeBags", "item_value": "3.49", "item_quantity": "1"}, {"item_key": "", "item_name": "24PkSpringWater", "item_value": "0.69", "item_quantity": "1"}, {"item_key": "", "item_name": "ChBottomRound", "item_value": "1.69", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[77.0, 37.0], [190.0, 39.0], [190.0, 60.0], [77.0, 58.0]], ('DCATE ', 0.7478994727134705)], [[[161.0, 71.0], [296.0, 71.0], [296.0, 130.0], [161.0, 130.0]], ('0570', 0.9986251592636108)], [[[73.0, 108.0], [144.0, 111.0], [143.0, 128.0], [72.0, 125.0]], ('SONR', 0.698032796382904)], [[[127.0, 143.0], [282.0, 141.0], [282.0, 158.0], [127.0, 160.0]], ('ak you for catng at', 0.8510923981666565)], [[[166.0, 161.0], [237.0, 161.0], [237.0, 175.0], [166.0, 175.0]], ("Mcdonald's", 0.8231312036514282)], [[[131.0, 176.0], [278.0, 174.0], [278.0, 191.0], [131.0, 193.0]], (' 25He Concours', 0.7746270895004272)], [[[150.0, 192.0], [252.0, 190.0], [252.0, 207.0], [150.0, 209.0]], ('City of London', 0.851282000541687)], [[[170.0, 210.0], [230.0, 208.0], [230.0, 225.0], [170.0, 227.0]], ('EC2MPY', 0.8637169003486633)], [[[136.0, 229.0], [272.0, 224.0], [272.0, 241.0], [136.0, 246.0]], ('Phon:02073779562', 0.8766696453094482)], [[[114.0, 246.0], [287.0, 242.0], [287.0, 259.0], [114.0, 263.0]], ('Fa00444k.cd.com', 0.8603441715240479)], [[[165.0, 280.0], [245.0, 279.0], [245.0, 297.0], [165.0, 298.0]], ('TAX INVOICE', 0.9384588599205017)], [[[149.0, 300.0], [250.0, 297.0], [251.0, 325.0], [150.0, 328.0]], ('RECEIPT', 0.9970583319664001)], [[[63.0, 345.0], [344.0, 343.0], [344.0, 360.0], [63.0, 362.0]], ('RGDat0//08/2012 1e13:2901', 0.8177844882011414)], [[[60.0, 380.0], [124.0, 383.0], [123.0, 400.0], [59.0, 397.0]], ('QIY TIEM', 0.7222714424133301)], [[[308.0, 382.0], [346.0, 382.0], [346.0, 400.0], [308.0, 400.0]], ('TOTAL', 0.8755875825881958)], [[[73.0, 400.0], [192.0, 403.0], [192.0, 420.0], [73.0, 417.0]], ('CH DDAR DELUXE', 0.8555355072021484)], [[[314.0, 401.0], [349.0, 401.0], [349.0, 420.0], [314.0, 420.0]], ('3.69', 0.9935088157653809)], [[[56.0, 436.0], [217.0, 442.0], [217.0, 459.0], [56.0, 453.0]], ('UI lota1 1ncl VAl', 0.6218377351760864)], [[[316.0, 439.0], [351.0, 439.0], [351.0, 459.0], [316.0, 459.0]], ('3.69', 0.9616855382919312)], [[[56.0, 458.0], [127.0, 458.0], [127.0, 476.0], [56.0, 476.0]], ('Pald GBP', 0.8929630517959595)], [[[316.0, 460.0], [352.0, 460.0], [352.0, 479.0], [316.0, 479.0]], ('5.00', 0.9959043264389038)], [[[318.0, 480.0], [352.0, 480.0], [352.0, 500.0], [318.0, 500.0]], ('1.31', 0.9938059449195862)], [[[55.0, 521.0], [217.0, 521.0], [217.0, 538.0], [55.0, 538.0]], ('AI mber3/1057172', 0.7952081561088562)], [[[162.0, 542.0], [196.0, 542.0], [196.0, 561.0], [162.0, 561.0]], ('TAXX', 0.8351771831512451)], [[[231.0, 543.0], [278.0, 543.0], [278.0, 561.0], [231.0, 561.0]], ('AMOUNT', 0.9905655384063721)], [[[321.0, 543.0], [349.0, 543.0], [349.0, 564.0], [321.0, 564.0]], ('TAX', 0.978614866733551)], [[[54.0, 564.0], [178.0, 564.0], [178.0, 581.0], [54.0, 581.0]], ('INCL.TAX:20.00%', 0.8816253542900085)], [[[230.0, 564.0], [265.0, 564.0], [265.0, 583.0], [230.0, 583.0]], ('3.07', 0.9970748424530029)], [[[306.0, 565.0], [342.0, 565.0], [342.0, 585.0], [306.0, 585.0]], ('0.62', 0.9926367998123169)], [[[82.0, 610.0], [319.0, 610.0], [319.0, 627.0], [82.0, 627.0]], ("MeDonald's Restaurants Limited", 0.9317744374275208)], [[[145.0, 631.0], [267.0, 631.0], [267.0, 651.0], [145.0, 651.0]], ('11-59 High Road', 0.8654104471206665)], [[[173.0, 652.0], [228.0, 654.0], [227.0, 675.0], [172.0, 673.0]], ('London', 0.9962902069091797)], [[[174.0, 676.0], [228.0, 676.0], [228.0, 697.0], [174.0, 697.0]], ('N28AW', 0.9196869134902954)], [[[127.0, 701.0], [283.0, 699.0], [283.0, 719.0], [127.0, 721.0]], ('www.mcdonalds.co.uk', 0.9385656118392944)]]	{"store_name": "McDonald's", "store_addr": "CityofLondon EC2M7PY", "telephone": "02073779562", "date": "07/08/2012", "time": "13:29:01", "subtotal": "", "tax": "", "total": "3.69", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "1CHEDDARDELUXE", "item_value": "3.69", "item_quantity": "1"}, {"item_key": "QTYITEM", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[127.0, 57.0], [222.0, 57.0], [222.0, 70.0], [127.0, 70.0]], ("Chil1's Grill & Bar", 0.7804719805717468)], [[[139.0, 69.0], [209.0, 67.0], [210.0, 81.0], [139.0, 84.0]], ('Mandarin #255', 0.9033365845680237)], [[[128.0, 80.0], [229.0, 80.0], [229.0, 93.0], [128.0, 93.0]], ('11101 SanJose Blvd.', 0.866306483745575)], [[[121.0, 92.0], [233.0, 91.0], [233.0, 105.0], [121.0, 107.0]], ('Jacksonvi1leFL 32223', 0.8733237385749817)], [[[72.0, 114.0], [138.0, 117.0], [138.0, 130.0], [72.0, 127.0]], ('Server Jesse', 0.929230272769928)], [[[229.0, 116.0], [283.0, 116.0], [283.0, 130.0], [229.0, 130.0]], ('03/01/2013', 0.9917448163032532)], [[[72.0, 128.0], [125.0, 128.0], [125.0, 142.0], [72.0, 142.0]], ('Table 21/1', 0.9458470344543457)], [[[243.0, 128.0], [284.0, 128.0], [284.0, 142.0], [243.0, 142.0]], ('5:50PM', 0.8653386235237122)], [[[254.0, 137.0], [285.0, 140.0], [284.0, 154.0], [253.0, 151.0]], ('70066', 0.9224608540534973)], [[[70.0, 149.0], [135.0, 151.0], [135.0, 165.0], [70.0, 163.0]], ('Reprint 1', 0.9359843730926514)], [[[70.0, 163.0], [173.0, 163.0], [173.0, 177.0], [70.0, 177.0]], ('Order Type: Dine In', 0.9027730226516724)], [[[66.0, 209.0], [206.0, 211.0], [206.0, 224.0], [66.0, 222.0]], ('2 HHTFO WOODBRGCHAR 06.49)', 0.8543990254402161)], [[[255.0, 212.0], [284.0, 212.0], [284.0, 226.0], [255.0, 226.0]], ('12.98', 0.9871339797973633)], [[[67.0, 233.0], [153.0, 235.0], [153.0, 249.0], [67.0, 247.0]], ('BEEF BACON QUESA', 0.9476264715194702)], [[[258.0, 225.0], [283.0, 225.0], [283.0, 237.0], [258.0, 237.0]], ('5.29', 0.9767627716064453)], [[[66.0, 245.0], [143.0, 248.0], [142.0, 262.0], [66.0, 259.0]], ('3 GR SHR TACOS', 0.9169401526451111)], [[[258.0, 236.0], [283.0, 236.0], [283.0, 251.0], [258.0, 251.0]], ('9.79', 0.9835197925567627)], [[[255.0, 247.0], [284.0, 250.0], [282.0, 265.0], [253.0, 262.0]], ('10.99', 0.9965223073959351)], [[[78.0, 271.0], [122.0, 271.0], [122.0, 285.0], [78.0, 285.0]], ('FREE APP', 0.9615046977996826)], [[[255.0, 272.0], [282.0, 272.0], [282.0, 287.0], [255.0, 287.0]], ('-5.29', 0.9649009704589844)], [[[65.0, 307.0], [109.0, 307.0], [109.0, 321.0], [65.0, 321.0]], ('Subtotal', 0.9915175437927246)], [[[249.0, 308.0], [280.0, 311.0], [279.0, 326.0], [248.0, 323.0]], ('33.76', 0.9862624406814575)], [[[66.0, 320.0], [87.0, 320.0], [87.0, 332.0], [66.0, 332.0]], ('Tex', 0.6575767993927002)], [[[254.0, 324.0], [279.0, 324.0], [279.0, 336.0], [254.0, 336.0]], ('2.37', 0.9925740957260132)], [[[66.0, 340.0], [95.0, 343.0], [94.0, 358.0], [65.0, 355.0]], ('Total', 0.995907187461853)], [[[248.0, 347.0], [280.0, 347.0], [280.0, 362.0], [248.0, 362.0]], ('36.13', 0.9395948648452759)], [[[64.0, 365.0], [177.0, 369.0], [177.0, 383.0], [64.0, 380.0]], ('Ba lance Due', 0.9376023411750793)], [[[223.0, 369.0], [278.0, 372.0], [277.0, 387.0], [223.0, 385.0]], ('36.13', 0.994891345500946)], [[[143.0, 392.0], [197.0, 394.0], [197.0, 408.0], [142.0, 406.0]], ('Thank You!', 0.9325728416442871)], [[[109.0, 403.0], [233.0, 409.0], [232.0, 423.0], [108.0, 417.0]], ('Ne We lcome Your Conzents', 0.8380969762802124)], [[[135.0, 417.0], [208.0, 419.0], [207.0, 433.0], [135.0, 431.0]], ('800983-4637', 0.9850929379463196)], [[[132.0, 430.0], [208.0, 432.0], [208.0, 445.0], [132.0, 443.0]], ('www.chilis.com', 0.8856106996536255)]]	{"store_name": "Chili'sGrill&Bar", "store_addr": "11101SanJoseBlvd. Jacksonville,FL32223", "telephone": "(800)983-4637", "date": "03/01/2013", "time": "5:50PM", "subtotal": "33.76", "tax": "2.37", "total": "36.13 36.13", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HHTFOWOODBRGCHAR(@6.49)", "item_value": "12.98", "item_quantity": "1"}, {"item_key": "", "item_name": "GRILLEDGUACAMOLE", "item_value": "5.29", "item_quantity": "1"}, {"item_key": "", "item_name": "BEEFBACONQUESA", "item_value": "9.79", "item_quantity": "1"}, {"item_key": "", "item_name": "GRSHRTACOS", "item_value": "10.99", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[246.0, 30.0], [581.0, 23.0], [583.0, 81.0], [247.0, 89.0]], ('Walmart', 0.9931427836418152)], [[[250.0, 92.0], [580.0, 81.0], [581.0, 110.0], [250.0, 120.0]], ('Save money.Live better.', 0.962547779083252)], [[[2.0, 112.0], [99.0, 112.0], [99.0, 135.0], [2.0, 135.0]], ('ONNOTES', 0.920950710773468)], [[[321.0, 135.0], [578.0, 126.0], [579.0, 153.0], [322.0, 162.0]], ('9137647150', 0.9930709004402161)], [[[281.0, 150.0], [607.0, 147.0], [607.0, 177.0], [281.0, 180.0]], ('HANAGER ALBERT STUTZHAN', 0.9311328530311584)], [[[349.0, 173.0], [536.0, 170.0], [536.0, 195.0], [349.0, 198.0]], ('395 NK7HWY', 0.9208120107650757)], [[[336.0, 195.0], [546.0, 192.0], [546.0, 215.0], [336.0, 218.0]], ('OLATHEKS 66061', 0.9472206234931946)], [[[184.0, 217.0], [225.0, 217.0], [225.0, 237.0], [184.0, 237.0]], ('S1S', 0.5249025225639343)], [[[230.0, 212.0], [586.0, 210.0], [586.0, 238.0], [230.0, 240.0]], ('44750P800002093TE06', 0.9362314343452454)], [[[589.0, 212.0], [637.0, 212.0], [637.0, 230.0], [589.0, 230.0]], ('TRE', 0.9733808636665344)], [[[649.0, 208.0], [720.0, 208.0], [720.0, 227.0], [649.0, 227.0]], ('03455', 0.9890777468681335)], [[[179.0, 235.0], [223.0, 235.0], [223.0, 260.0], [179.0, 260.0]], ('PRK', 0.9949701428413391)], [[[263.0, 237.0], [316.0, 237.0], [316.0, 260.0], [263.0, 260.0]], ('BAC', 0.9945769906044006)], [[[321.0, 237.0], [352.0, 237.0], [352.0, 258.0], [321.0, 258.0]], ('SS', 0.7088489532470703)], [[[360.0, 235.0], [537.0, 232.0], [538.0, 255.0], [361.0, 258.0]], ('007024713688', 0.991899311542511)], [[[548.0, 232.0], [564.0, 238.0], [558.0, 253.0], [542.0, 247.0]], ('F', 0.762831449508667)], [[[177.0, 257.0], [227.0, 257.0], [227.0, 280.0], [177.0, 280.0]], ('PRK', 0.9952599406242371)], [[[263.0, 258.0], [309.0, 258.0], [309.0, 280.0], [263.0, 280.0]], ('BAC', 0.9935705661773682)], [[[321.0, 258.0], [351.0, 258.0], [351.0, 278.0], [321.0, 278.0]], ('SS', 0.8754445910453796)], [[[360.0, 257.0], [537.0, 251.0], [538.0, 273.0], [361.0, 279.0]], ('007024713688', 0.9907981753349304)], [[[175.0, 275.0], [308.0, 275.0], [308.0, 303.0], [175.0, 303.0]], ('BNLS BRST', 0.9442021250724792)], [[[362.0, 277.0], [537.0, 271.0], [538.0, 295.0], [363.0, 300.0]], ('020549600975', 0.9833782315254211)], [[[635.0, 282.0], [658.0, 281.0], [662.0, 381.0], [639.0, 382.0]], ('ANNNV', 0.5494229793548584)], [[[175.0, 297.0], [304.0, 297.0], [304.0, 320.0], [175.0, 320.0]], ('BNLS BRST', 0.9362501502037048)], [[[360.0, 295.0], [537.0, 292.0], [538.0, 315.0], [361.0, 318.0]], ('020549600973', 0.9814450740814209)], [[[171.0, 312.0], [346.0, 313.0], [346.0, 337.0], [170.0, 335.0]], ('GV TATERPUFF', 0.9311389327049255)], [[[361.0, 313.0], [536.0, 312.0], [536.0, 333.0], [361.0, 335.0]], ('007874213028', 0.9567385315895081)], [[[168.0, 326.0], [290.0, 332.0], [289.0, 362.0], [167.0, 356.0]], ('GV FRIES', 0.9257839918136597)], [[[362.0, 333.0], [538.0, 333.0], [538.0, 357.0], [362.0, 357.0]], ('007874243458', 0.9967255592346191)], [[[551.0, 332.0], [564.0, 332.0], [564.0, 353.0], [551.0, 353.0]], ('LE', 0.5216096043586731)], [[[667.0, 327.0], [700.0, 327.0], [700.0, 358.0], [667.0, 358.0]], ('00', 0.9554907083511353)], [[[169.0, 357.0], [288.0, 357.0], [288.0, 380.0], [169.0, 380.0]], ('GV FRIES', 0.9444601535797119)], [[[361.0, 357.0], [538.0, 355.0], [538.0, 378.0], [361.0, 380.0]], ('007874243458', 0.9896249175071716)], [[[549.0, 357.0], [564.0, 357.0], [564.0, 375.0], [549.0, 375.0]], ('F', 0.9863297343254089)], [[[668.0, 350.0], [700.0, 350.0], [700.0, 382.0], [668.0, 382.0]], ('00', 0.9497008919715881)], [[[167.0, 378.0], [313.0, 378.0], [313.0, 402.0], [167.0, 402.0]], ('CHUCK ROLL', 0.9579755067825317)], [[[359.0, 380.0], [534.0, 378.0], [534.0, 402.0], [359.0, 403.0]], ('007874212321', 0.9962184429168701)], [[[549.0, 380.0], [564.0, 380.0], [564.0, 398.0], [549.0, 398.0]], ('F', 0.9936698079109192)], [[[627.0, 375.0], [660.0, 375.0], [660.0, 402.0], [627.0, 402.0]], ('13', 0.9971972703933716)], [[[670.0, 375.0], [700.0, 375.0], [700.0, 405.0], [670.0, 405.0]], ('95', 0.9911950826644897)], [[[165.0, 400.0], [316.0, 400.0], [316.0, 423.0], [165.0, 423.0]], ('CHUCK ROLL', 0.945057213306427)], [[[359.0, 402.0], [546.0, 400.0], [546.0, 423.0], [359.0, 425.0]], ('007874212321', 0.9955945014953613)], [[[546.0, 403.0], [564.0, 403.0], [564.0, 418.0], [546.0, 418.0]], ('F', 0.9058964848518372)], [[[630.0, 400.0], [660.0, 400.0], [660.0, 422.0], [630.0, 422.0]], ('13', 0.9959214329719543)], [[[670.0, 397.0], [701.0, 397.0], [701.0, 425.0], [670.0, 425.0]], ('95', 0.9868210554122925)], [[[718.0, 400.0], [730.0, 400.0], [730.0, 420.0], [718.0, 420.0]], ('-', 0.6205533146858215)], [[[164.0, 420.0], [329.0, 423.0], [329.0, 447.0], [164.0, 443.0]], ('BELL PEPPER', 0.9514533877372742)], [[[357.0, 425.0], [566.0, 423.0], [566.0, 447.0], [357.0, 448.0]], ('000000004065KI', 0.9820294976234436)], [[[667.0, 422.0], [703.0, 422.0], [703.0, 448.0], [667.0, 448.0]], ('72', 0.9972397089004517)], [[[718.0, 425.0], [731.0, 425.0], [731.0, 447.0], [718.0, 447.0]], ('X', 0.5810624361038208)], [[[162.0, 445.0], [334.0, 445.0], [334.0, 468.0], [162.0, 468.0]], ('HH BELL RED', 0.9204246401786804)], [[[356.0, 448.0], [564.0, 448.0], [564.0, 472.0], [356.0, 472.0]], ('000000004688K1', 0.9497915506362915)], [[[647.0, 448.0], [658.0, 448.0], [658.0, 468.0], [647.0, 468.0]], ('-', 0.6946205496788025)], [[[672.0, 445.0], [705.0, 445.0], [705.0, 472.0], [672.0, 472.0]], ('48', 0.8641537427902222)], [[[714.0, 442.0], [731.0, 441.0], [735.0, 496.0], [718.0, 497.0]], ('XX', 0.5047804713249207)], [[[161.0, 465.0], [346.0, 467.0], [346.0, 490.0], [160.0, 488.0]], ('HCC/SCH GOUR', 0.955575168132782)], [[[343.0, 468.0], [544.0, 470.0], [544.0, 493.0], [342.0, 492.0]], ('005210000349', 0.9808439612388611)], [[[670.0, 467.0], [706.0, 467.0], [706.0, 493.0], [670.0, 493.0]], ('24', 0.9919992685317993)], [[[160.0, 492.0], [203.0, 492.0], [203.0, 512.0], [160.0, 512.0]], ('AMP', 0.9969558715820312)], [[[354.0, 492.0], [543.0, 493.0], [543.0, 517.0], [354.0, 515.0]], ('001200038250', 0.9964674115180969)], [[[551.0, 497.0], [564.0, 497.0], [564.0, 512.0], [551.0, 512.0]], ('F', 0.7665243148803711)], [[[667.0, 490.0], [706.0, 490.0], [706.0, 517.0], [667.0, 517.0]], ('48', 0.9927777051925659)], [[[721.0, 493.0], [735.0, 493.0], [735.0, 515.0], [721.0, 515.0]], ('X', 0.5456350445747375)], [[[157.0, 512.0], [347.0, 512.0], [347.0, 535.0], [157.0, 535.0]], ('GV NRTH BEAN', 0.9403839707374573)], [[[351.0, 513.0], [541.0, 519.0], [541.0, 540.0], [351.0, 535.0]], ('007874237132', 0.9975826144218445)], [[[647.0, 517.0], [672.0, 517.0], [672.0, 540.0], [647.0, 540.0]], ('3.', 0.9666893482208252)], [[[668.0, 515.0], [706.0, 515.0], [706.0, 540.0], [668.0, 540.0]], ('18', 0.9948504567146301)], [[[154.0, 533.0], [541.0, 537.0], [541.0, 560.0], [154.0, 557.0]], ('GV PINT0 BNS 007874237147', 0.9163128137588501)], [[[647.0, 538.0], [672.0, 538.0], [672.0, 562.0], [647.0, 562.0]], ('2.', 0.8557716608047485)], [[[667.0, 537.0], [710.0, 537.0], [710.0, 563.0], [667.0, 563.0]], ('.08', 0.970548689365387)], [[[152.0, 558.0], [294.0, 558.0], [294.0, 582.0], [152.0, 582.0]], ('GV SHREDS', 0.9484671354293823)], [[[353.0, 558.0], [541.0, 564.0], [541.0, 587.0], [352.0, 581.0]], ('007874228335', 0.9981181621551514)], [[[667.0, 562.0], [711.0, 562.0], [711.0, 587.0], [667.0, 587.0]], ('.98', 0.9762396812438965)], [[[147.0, 578.0], [543.0, 583.0], [542.0, 610.0], [147.0, 605.0]], ('GV C0LBYJACK 007874204484', 0.9245978593826294)], [[[553.0, 590.0], [566.0, 590.0], [566.0, 605.0], [553.0, 605.0]], ('F', 0.8996571898460388)], [[[645.0, 583.0], [715.0, 583.0], [715.0, 613.0], [645.0, 613.0]], ('4.68', 0.9815858602523804)], [[[726.0, 588.0], [740.0, 588.0], [740.0, 607.0], [726.0, 607.0]], ('T', 0.90033358335495)], [[[147.0, 602.0], [541.0, 605.0], [541.0, 633.0], [147.0, 630.0]], ('GV M0NT JACK 007874243021', 0.9212308526039124)], [[[554.0, 612.0], [567.0, 612.0], [567.0, 628.0], [554.0, 628.0]], ('F', 0.933914303779602)], [[[649.0, 610.0], [713.0, 610.0], [713.0, 635.0], [649.0, 635.0]], ('4.68', 0.9610599279403687)], [[[728.0, 612.0], [741.0, 612.0], [741.0, 630.0], [728.0, 630.0]], ('T', 0.7325533032417297)], [[[147.0, 628.0], [213.0, 628.0], [213.0, 653.0], [147.0, 653.0]], ('LARD', 0.9954249262809753)], [[[351.0, 628.0], [543.0, 632.0], [542.0, 655.0], [351.0, 652.0]], ('005010050438', 0.9968217015266418)], [[[647.0, 632.0], [715.0, 632.0], [715.0, 662.0], [647.0, 662.0]], ('5.94', 0.8794606924057007)], [[[142.0, 652.0], [273.0, 652.0], [273.0, 680.0], [142.0, 680.0]], ('ROCKSTAR', 0.9968273043632507)], [[[352.0, 655.0], [543.0, 655.0], [543.0, 678.0], [352.0, 678.0]], ('081809400300', 0.9969654679298401)], [[[556.0, 660.0], [569.0, 660.0], [569.0, 675.0], [556.0, 675.0]], ('F', 0.6388186812400818)], [[[650.0, 657.0], [716.0, 657.0], [716.0, 682.0], [650.0, 682.0]], ('1.68', 0.993426501750946)], [[[731.0, 658.0], [744.0, 658.0], [744.0, 682.0], [731.0, 682.0]], ('X', 0.6388413310050964)], [[[142.0, 680.0], [319.0, 680.0], [319.0, 702.0], [142.0, 702.0]], ('GV CRM CHKN', 0.9377477765083313)], [[[347.0, 680.0], [543.0, 678.0], [543.0, 702.0], [348.0, 703.0]], ('007874237159', 0.9979779720306396)], [[[556.0, 683.0], [569.0, 683.0], [569.0, 698.0], [556.0, 698.0]], ('F', 0.7520881295204163)], [[[650.0, 682.0], [718.0, 682.0], [718.0, 707.0], [650.0, 707.0]], ('0.98', 0.994062602519989)], [[[733.0, 683.0], [746.0, 683.0], [746.0, 703.0], [733.0, 703.0]], ('I', 0.5346150994300842)], [[[142.0, 705.0], [543.0, 705.0], [543.0, 728.0], [142.0, 728.0]], ('DICED T0MAT0 007874205423', 0.9244152903556824)], [[[652.0, 707.0], [720.0, 707.0], [720.0, 730.0], [652.0, 730.0]], ('0.88', 0.9947841167449951)], [[[741.0, 705.0], [754.0, 718.0], [741.0, 732.0], [728.0, 718.0]], ('I', 0.5487478971481323)], [[[139.0, 728.0], [356.0, 728.0], [356.0, 752.0], [139.0, 752.0]], ('GV GRN CHILE ', 0.9067316055297852)], [[[346.0, 730.0], [543.0, 730.0], [543.0, 752.0], [346.0, 752.0]], ('007874207523', 0.997607409954071)], [[[544.0, 732.0], [572.0, 732.0], [572.0, 750.0], [544.0, 750.0]], ('F', 0.9880973696708679)], [[[651.0, 732.0], [720.0, 728.0], [722.0, 753.0], [653.0, 757.0]], ('0.88', 0.9941926598548889)], [[[738.0, 733.0], [749.0, 733.0], [749.0, 752.0], [738.0, 752.0]], ('-', 0.8223219513893127)], [[[137.0, 752.0], [349.0, 752.0], [349.0, 775.0], [137.0, 775.0]], ('GV GRN CHILE', 0.9228828549385071)], [[[344.0, 752.0], [544.0, 753.0], [544.0, 777.0], [344.0, 775.0]], ('007874207523', 0.9769582748413086)], [[[544.0, 755.0], [574.0, 755.0], [574.0, 773.0], [544.0, 773.0]], ('F', 0.7219440340995789)], [[[655.0, 753.0], [725.0, 753.0], [725.0, 778.0], [655.0, 778.0]], ('0.88', 0.9935935735702515)], [[[742.0, 750.0], [757.0, 759.0], [747.0, 775.0], [733.0, 766.0]], ('T', 0.8115962743759155)], [[[136.0, 777.0], [334.0, 777.0], [334.0, 800.0], [136.0, 800.0]], ('DICED TOMATO', 0.9669921398162842)], [[[324.0, 778.0], [546.0, 778.0], [546.0, 800.0], [324.0, 800.0]], ('007874205423', 0.9958390593528748)], [[[556.0, 782.0], [572.0, 782.0], [572.0, 798.0], [556.0, 798.0]], ('F', 0.9528188705444336)], [[[657.0, 777.0], [726.0, 777.0], [726.0, 802.0], [657.0, 802.0]], ('0.88', 0.9954792261123657)], [[[741.0, 778.0], [754.0, 778.0], [754.0, 797.0], [741.0, 797.0]], ('T', 0.9391345381736755)], [[[132.0, 802.0], [342.0, 802.0], [342.0, 825.0], [132.0, 825.0]], ('GR BTR TSTN', 0.9081750512123108)], [[[346.0, 802.0], [546.0, 802.0], [546.0, 823.0], [346.0, 823.0]], ('001800000183', 0.9861610531806946)], [[[658.0, 798.0], [728.0, 798.0], [728.0, 823.0], [658.0, 823.0]], ('0.99', 0.9957565665245056)], [[[741.0, 800.0], [756.0, 800.0], [756.0, 818.0], [741.0, 818.0]], ('T', 0.8362861275672913)], [[[132.0, 830.0], [321.0, 830.0], [321.0, 853.0], [132.0, 853.0]], ('GRBTR TSTN', 0.9500020146369934)], [[[342.0, 825.0], [579.0, 823.0], [579.0, 852.0], [343.0, 853.0]], ('001800000183F', 0.9939836859703064)], [[[658.0, 823.0], [733.0, 823.0], [733.0, 853.0], [658.0, 853.0]], ('0.99', 0.9955727458000183)], [[[731.0, 829.0], [758.0, 824.0], [762.0, 846.0], [736.0, 851.0]], ('I', 0.6480697989463806)], [[[131.0, 858.0], [314.0, 858.0], [314.0, 882.0], [131.0, 882.0]], ('GR BTR TSTN', 0.925325334072113)], [[[344.0, 855.0], [579.0, 853.0], [579.0, 882.0], [344.0, 883.0]], ('001800000183F', 0.9940500259399414)], [[[658.0, 853.0], [733.0, 853.0], [733.0, 883.0], [658.0, 883.0]], ('0.99', 0.9965635538101196)], [[[721.0, 855.0], [763.0, 855.0], [763.0, 880.0], [721.0, 880.0]], ('T', 0.9621778130531311)], [[[129.0, 887.0], [313.0, 887.0], [313.0, 910.0], [129.0, 910.0]], ('GR BTR TSTN', 0.9226883053779602)], [[[341.0, 883.0], [579.0, 882.0], [579.0, 910.0], [341.0, 912.0]], ('001800000183F', 0.9956657886505127)], [[[660.0, 883.0], [764.0, 883.0], [764.0, 912.0], [660.0, 912.0]], ('1.38T', 0.9773672819137573)], [[[141.0, 912.0], [447.0, 913.0], [447.0, 942.0], [141.0, 940.0]], ('VOIDED ENTRY *', 0.9055399298667908)], [[[124.0, 942.0], [314.0, 942.0], [314.0, 970.0], [124.0, 970.0]], ('GR BTR TSTN', 0.9191000461578369)], [[[344.0, 945.0], [579.0, 945.0], [579.0, 968.0], [344.0, 968.0]], ('001800000183F', 0.995026707649231)], [[[660.0, 940.0], [766.0, 938.0], [766.0, 968.0], [660.0, 970.0]], ('1.38-T', 0.9783620834350586)], [[[122.0, 970.0], [313.0, 970.0], [313.0, 998.0], [122.0, 998.0]], ('GR BTR TSTN', 0.9224314093589783)], [[[342.0, 972.0], [551.0, 972.0], [551.0, 1000.0], [342.0, 1000.0]], ('001800000183', 0.997327983379364)], [[[662.0, 968.0], [768.0, 968.0], [768.0, 998.0], [662.0, 998.0]], ('0.99T', 0.9740175008773804)], [[[119.0, 1002.0], [292.0, 998.0], [293.0, 1026.0], [120.0, 1030.0]], ('GRND WHEAT', 0.9461015462875366)], [[[344.0, 1003.0], [548.0, 1003.0], [548.0, 1027.0], [344.0, 1027.0]], ('001800000175', 0.9977507591247559)], [[[662.0, 998.0], [771.0, 996.0], [771.0, 1027.0], [662.0, 1029.0]], ('0.99T', 0.9910011291503906)], [[[117.0, 1030.0], [309.0, 1030.0], [309.0, 1058.0], [117.0, 1058.0]], ('GR BTR TSTN', 0.9132299423217773)], [[[341.0, 1030.0], [551.0, 1026.0], [551.0, 1055.0], [341.0, 1059.0]], ('001800000183', 0.9971635341644287)], [[[551.0, 1032.0], [581.0, 1032.0], [581.0, 1052.0], [551.0, 1052.0]], ('F', 0.9496132135391235)], [[[667.0, 1027.0], [773.0, 1027.0], [773.0, 1057.0], [667.0, 1057.0]], ('0.99T', 0.9896763563156128)], [[[116.0, 1060.0], [309.0, 1060.0], [309.0, 1088.0], [116.0, 1088.0]], ('GV BLK BEAN', 0.9313606023788452)], [[[341.0, 1060.0], [550.0, 1055.0], [551.0, 1083.0], [341.0, 1089.0]], ('007874207576', 0.9981953501701355)], [[[548.0, 1060.0], [581.0, 1060.0], [581.0, 1080.0], [548.0, 1080.0]], ('F', 0.8747573494911194)], [[[667.0, 1057.0], [774.0, 1057.0], [774.0, 1085.0], [667.0, 1085.0]], ('0.68T', 0.9894911050796509)], [[[112.0, 1088.0], [308.0, 1088.0], [308.0, 1117.0], [112.0, 1117.0]], ('GV BLK BEAN', 0.9328163266181946)], [[[339.0, 1088.0], [552.0, 1085.0], [553.0, 1115.0], [339.0, 1118.0]], ('007874207576', 0.9974463582038879)], [[[670.0, 1085.0], [779.0, 1085.0], [779.0, 1115.0], [670.0, 1115.0]], ('0.68T', 0.9814213514328003)], [[[110.0, 1116.0], [308.0, 1120.0], [307.0, 1150.0], [109.0, 1147.0]], ('GV CRM CHKN', 0.9169339537620544)], [[[339.0, 1118.0], [552.0, 1113.0], [553.0, 1142.0], [340.0, 1147.0]], ('007874237159', 0.9971415996551514)], [[[551.0, 1118.0], [582.0, 1118.0], [582.0, 1138.0], [551.0, 1138.0]], ('F', 0.8877739310264587)], [[[672.0, 1115.0], [781.0, 1115.0], [781.0, 1143.0], [672.0, 1143.0]], ('0.98T', 0.9896677732467651)], [[[109.0, 1148.0], [218.0, 1148.0], [218.0, 1178.0], [109.0, 1178.0]], ('BLEACH', 0.9975166916847229)], [[[336.0, 1147.0], [550.0, 1141.0], [551.0, 1175.0], [336.0, 1180.0]], ('007874201185', 0.9973935484886169)], [[[671.0, 1140.0], [788.0, 1144.0], [787.0, 1179.0], [670.0, 1175.0]], ('2.98', 0.99592125415802)], [[[422.0, 1175.0], [569.0, 1171.0], [569.0, 1206.0], [422.0, 1210.0]], ('SUBTOTAL', 0.9966814517974854)], [[[642.0, 1175.0], [749.0, 1175.0], [749.0, 1205.0], [642.0, 1205.0]], ('106.24', 0.9939508438110352)], [[[102.0, 1210.0], [589.0, 1203.0], [589.0, 1238.0], [103.0, 1245.0]], ('COUP0N 18000 051800000000F', 0.9442321062088013)], [[[677.0, 1207.0], [789.0, 1207.0], [789.0, 1237.0], [677.0, 1237.0]], ('0.40-0', 0.9820975661277771)], [[[101.0, 1244.0], [590.0, 1235.0], [591.0, 1270.0], [101.0, 1279.0]], ('COUP0N 18000 051800000000F', 0.94464111328125)], [[[678.0, 1238.0], [792.0, 1238.0], [792.0, 1268.0], [678.0, 1268.0]], ('0.40-0', 0.979848325252533)], [[[422.0, 1270.0], [570.0, 1266.0], [571.0, 1301.0], [422.0, 1305.0]], ('SUBTOTAL', 0.9967648983001709)], [[[645.0, 1270.0], [756.0, 1270.0], [756.0, 1300.0], [645.0, 1300.0]], ('105.44', 0.9925667643547058)], [[[260.0, 1307.0], [354.0, 1307.0], [354.0, 1343.0], [260.0, 1343.0]], ('TAX 1', 0.903765857219696)], [[[404.0, 1305.0], [539.0, 1305.0], [539.0, 1340.0], [404.0, 1340.0]], ('8.500%', 0.9693302512168884)], [[[680.0, 1300.0], [761.0, 1300.0], [761.0, 1337.0], [680.0, 1337.0]], ('9.03', 0.9977756142616272)], [[[476.0, 1339.0], [571.0, 1335.0], [573.0, 1371.0], [478.0, 1375.0]], ('TOTAL', 0.9984633326530457)], [[[647.0, 1335.0], [761.0, 1335.0], [761.0, 1370.0], [647.0, 1370.0]], ('114.47', 0.9915210604667664)], [[[367.0, 1375.0], [575.0, 1371.0], [576.0, 1406.0], [368.0, 1410.0]], ('DEBIT TEND', 0.94731605052948)], [[[649.0, 1370.0], [764.0, 1370.0], [764.0, 1405.0], [649.0, 1405.0]], ('114.47', 0.9899840354919434)], [[[385.0, 1410.0], [574.0, 1406.0], [574.0, 1441.0], [386.0, 1445.0]], ('CHANGE DUE', 0.9625324010848999)], [[[685.0, 1407.0], [768.0, 1407.0], [768.0, 1443.0], [685.0, 1443.0]], ('0.00', 0.997342586517334)], [[[78.0, 1519.0], [251.0, 1515.0], [252.0, 1550.0], [78.0, 1554.0]], ('EFT DEBIT', 0.9634515047073364)], [[[384.0, 1515.0], [693.0, 1508.0], [693.0, 1543.0], [384.0, 1550.0]], ('PAY FROM PRIMARY', 0.9422836303710938)], [[[114.0, 1553.0], [235.0, 1553.0], [235.0, 1588.0], [114.0, 1588.0]], ('114.47', 0.993835985660553)], [[[266.0, 1554.0], [541.0, 1548.0], [541.0, 1583.0], [267.0, 1589.0]], ('TOTAL PURCHASE', 0.9729260206222534)]]	{"store_name": "Walmart", "store_addr": "395NK7HWY OLATHEKS66061", "telephone": "(913)764-7150", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PRKBACSS", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "PRKBACSS", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "BNLSBRST", "item_value": "0.68", "item_quantity": "1"}, {"item_key": "", "item_name": "BNLSBRST", "item_value": "0.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GVTATERPUFF", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GVFRIES", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GVFRIES", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CHUCKROLL", "item_value": "1.38-", "item_quantity": "1"}, {"item_key": "", "item_name": "CHUCKROLL", "item_value": "1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "BELLPEPPER", "item_value": "1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "HHBELLRED", "item_value": "9.75", "item_quantity": "1"}, {"item_key": "", "item_name": "MCC/SCHGOUR", "item_value": "9.73", "item_quantity": "1"}, {"item_key": "", "item_name": "AMP", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GVNRTHBEAN", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GVPINTOBNS", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GVSHREDS", "item_value": "13.95", "item_quantity": "1"}, {"item_key": "", "item_name": "GVCOLBYJACK", "item_value": "13.95", "item_quantity": "1"}, {"item_key": "", "item_name": "GVMONTJACK", "item_value": "0.72", "item_quantity": "1"}, {"item_key": "", "item_name": "LARD", "item_value": "1.48", "item_quantity": "1"}, {"item_key": "", "item_name": "ROCKSTAR", "item_value": "4.24", "item_quantity": "1"}, {"item_key": "", "item_name": "GVCRMCHKN", "item_value": "1.48", "item_quantity": "1"}, {"item_key": "", "item_name": "DICEDTOMATO", "item_value": "3.18", "item_quantity": "1"}, {"item_key": "", "item_name": "GVGRNCHILE", "item_value": "2.08", "item_quantity": "1"}, {"item_key": "", "item_name": "GVGRNCHILE", "item_value": "2.98", "item_quantity": "1"}, {"item_key": "", "item_name": "DICEDTOMATO", "item_value": "4.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GRBTRTSTN", "item_value": "4.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GRBTRTSTN", "item_value": "5.94", "item_quantity": "1"}, {"item_key": "", "item_name": "GRBTRTSTN", "item_value": "1.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GRBTRTSTN", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "GRBTRTSTN", "item_value": "0.88", "item_quantity": "1"}, {"item_key": "", "item_name": "GRBTRTSTN", "item_value": "0.88", "item_quantity": "1"}, {"item_key": "", "item_name": "GRNDWHEAT", "item_value": "0.88", "item_quantity": "1"}, {"item_key": "", "item_name": "GRBTRTSTN", "item_value": "0.88", "item_quantity": "1"}, {"item_key": "", "item_name": "GVBLKBEAN", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GVBLKBEAN", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "GVCRMCHKN", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BLEACH", "item_value": "1.38", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[99.0, 11.0], [233.0, 6.0], [234.0, 19.0], [99.0, 24.0]], ('Black Diamond Car Wash', 0.9075009822845459)], [[[120.0, 22.0], [210.0, 17.0], [211.0, 30.0], [121.0, 36.0]], ('1414 Hecla Way', 0.905215322971344)], [[[103.0, 35.0], [229.0, 27.0], [230.0, 41.0], [103.0, 49.0]], ('Loulsville C0 80027', 0.8086409568786621)], [[[125.0, 46.0], [204.0, 41.0], [205.0, 55.0], [126.0, 60.0]], ('303-666-6696', 0.9871966242790222)], [[[40.0, 78.0], [121.0, 75.0], [122.0, 89.0], [41.0, 92.0]], ('WashCashier1,', 0.9472140669822693)], [[[176.0, 71.0], [297.0, 65.0], [298.0, 79.0], [176.0, 85.0]], ('01/15/15,10:49AM', 0.9305540919303894)], [[[39.0, 93.0], [139.0, 89.0], [140.0, 103.0], [40.0, 107.0]], ('Shift 1.Empl1,', 0.8596100211143494)], [[[176.0, 86.0], [298.0, 79.0], [299.0, 93.0], [177.0, 100.0]], ('Sale # 52882706688', 0.9331676959991455)], [[[256.0, 113.0], [294.0, 110.0], [295.0, 125.0], [257.0, 128.0]], ('29.95', 0.995781421661377)], [[[74.0, 123.0], [192.0, 116.0], [193.0, 130.0], [75.0, 137.0]], ('1 Express Wax Wash', 0.9225718975067139)], [[[74.0, 139.0], [205.0, 132.0], [206.0, 146.0], [75.0, 152.0]], ('1 Mini/SUV-ExpWaxWsh', 0.9318854212760925)], [[[263.0, 130.0], [295.0, 127.0], [296.0, 142.0], [264.0, 145.0]], ('3.00', 0.9958623051643372)], [[[263.0, 144.0], [298.0, 144.0], [298.0, 162.0], [263.0, 162.0]], ('9.00', 0.9963817596435547)], [[[74.0, 154.0], [191.0, 149.0], [192.0, 164.0], [75.0, 169.0]], ('1 Seats Lthr/Vinyl', 0.9125679731369019)], [[[75.0, 171.0], [118.0, 171.0], [118.0, 185.0], [75.0, 185.0]], ('1Rims', 0.9692171812057495)], [[[265.0, 163.0], [298.0, 163.0], [298.0, 178.0], [265.0, 178.0]], ('6.00', 0.9972309470176697)], [[[165.0, 200.0], [221.0, 198.0], [222.0, 214.0], [166.0, 217.0]], ('Subtotal', 0.9948358535766602)], [[[261.0, 198.0], [300.0, 198.0], [300.0, 213.0], [261.0, 213.0]], ('47.95', 0.9955919981002808)], [[[160.0, 217.0], [225.0, 217.0], [225.0, 233.0], [160.0, 233.0]], ('Sales Tax', 0.9637459516525269)], [[[267.0, 216.0], [301.0, 216.0], [301.0, 230.0], [267.0, 230.0]], ('0.00', 0.996720552444458)], [[[188.0, 234.0], [222.0, 234.0], [222.0, 248.0], [188.0, 248.0]], ('Total', 0.9983674883842468)], [[[262.0, 232.0], [300.0, 232.0], [300.0, 247.0], [262.0, 247.0]], ('47.95', 0.9966074824333191)], [[[94.0, 266.0], [149.0, 266.0], [149.0, 283.0], [94.0, 283.0]], ('DISCOVER', 0.9983170032501221)], [[[262.0, 264.0], [301.0, 264.0], [301.0, 279.0], [262.0, 279.0]], ('47.95', 0.996730625629425)], [[[50.0, 313.0], [301.0, 307.0], [302.0, 323.0], [51.0, 329.0]], ('Your wash service advisor was Owner.#1.', 0.950541079044342)]]	{"store_name": "BlackDiamondCamWash", "store_addr": "1414HeclaWay Louisville,CO80027", "telephone": "303-666-6696", "date": "01/15/15.", "time": "10:49AM", "subtotal": "47.95", "tax": "0.00", "total": "47.95 47.95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ExpressWaxWash", "item_value": "29.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Mini/SUV-ExpWaxWsh", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SeatsLthr/Vinyl", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Rims", "item_value": "6.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[98.0, 57.0], [189.0, 55.0], [189.0, 69.0], [98.0, 71.0]], ('Restaurant', 0.9538580179214478)], [[[117.0, 68.0], [182.0, 68.0], [182.0, 79.0], [117.0, 79.0]], ("Mundar't", 0.9163640737533569)], [[[117.0, 88.0], [182.0, 88.0], [182.0, 99.0], [117.0, 99.0]], ('Stefante Bauer', 0.9072465896606445)], [[[109.0, 108.0], [194.0, 108.0], [194.0, 122.0], [109.0, 122.0]], ('82487 Oberanergau', 0.9366342425346375)], [[[111.0, 99.0], [189.0, 95.0], [189.0, 109.0], [112.0, 113.0]], ('BahrhofstraBe 12', 0.8667110800743103)], [[[108.0, 119.0], [194.0, 115.0], [194.0, 128.0], [109.0, 132.0]], ('Tel.08822/9497565', 0.9377925395965576)], [[[62.0, 151.0], [219.0, 143.0], [220.0, 159.0], [63.0, 167.0]], ('Ihre Rechnung Nr.', 0.9127023816108704)], [[[232.0, 146.0], [242.0, 146.0], [242.0, 155.0], [232.0, 155.0]], ('6', 0.9625293612480164)], [[[90.0, 164.0], [129.0, 164.0], [129.0, 174.0], [90.0, 174.0]], ('vom', 0.9415042996406555)], [[[123.0, 161.0], [217.0, 155.0], [217.0, 169.0], [123.0, 174.0]], ('27.6.2015', 0.9903014302253723)], [[[50.0, 184.0], [93.0, 184.0], [93.0, 198.0], [50.0, 198.0]], ('Tisch#4', 0.9794611930847168)], [[[49.0, 218.0], [115.0, 215.0], [115.0, 229.0], [49.0, 232.0]], ('Nudeltascher!', 0.9338463544845581)], [[[221.0, 210.0], [261.0, 210.0], [261.0, 224.0], [221.0, 224.0]], ('11,60', 0.8908600807189941)], [[[47.0, 242.0], [123.0, 239.0], [124.0, 253.0], [47.0, 256.0]], ('Bergkasegnocchl', 0.9344696402549744)], [[[224.0, 234.0], [264.0, 234.0], [264.0, 248.0], [224.0, 248.0]], ('12.50', 0.8865814208984375)], [[[44.0, 266.0], [123.0, 262.0], [124.0, 276.0], [45.0, 280.0]], ('Coca Cola 0.331', 0.9213221073150635)], [[[229.0, 258.0], [266.0, 258.0], [266.0, 273.0], [229.0, 273.0]], ('2.50', 0.9236264228820801)], [[[42.0, 291.0], [128.0, 288.0], [129.0, 302.0], [43.0, 306.0]], ('Saftschorle 0.41', 0.9457285404205322)], [[[232.0, 284.0], [270.0, 284.0], [270.0, 298.0], [232.0, 298.0]], ('3,00', 0.877591609954834)], [[[41.0, 317.0], [71.0, 317.0], [71.0, 331.0], [41.0, 331.0]], ('Total', 0.9408435821533203)], [[[229.0, 311.0], [271.0, 311.0], [271.0, 325.0], [229.0, 325.0]], ('29.60', 0.9029229879379272)], [[[41.0, 332.0], [103.0, 332.0], [103.0, 344.0], [41.0, 344.0]], ('Nettoumsatz', 0.9876933693885803)], [[[197.0, 326.0], [240.0, 326.0], [240.0, 341.0], [197.0, 341.0]], ('24.87', 0.8942133784294128)], [[[38.0, 345.0], [133.0, 341.0], [134.0, 357.0], [39.0, 360.0]], ('Ums.ink1.19%MSt', 0.8219811916351318)], [[[198.0, 340.0], [241.0, 340.0], [241.0, 355.0], [198.0, 355.0]], ('29,60', 0.8974040746688843)], [[[42.0, 360.0], [125.0, 357.0], [125.0, 372.0], [42.0, 374.0]], ('enth.HwSt 19%', 0.8996140360832214)], [[[203.0, 354.0], [242.0, 354.0], [242.0, 369.0], [203.0, 369.0]], ('4.73', 0.8930736184120178)], [[[40.0, 372.0], [72.0, 375.0], [71.0, 389.0], [39.0, 386.0]], ('Bar', 0.9959850311279297)], [[[195.0, 369.0], [254.0, 369.0], [254.0, 383.0], [195.0, 383.0]], ('29.60', 0.9684733152389526)], [[[82.0, 399.0], [229.0, 396.0], [230.0, 410.0], [82.0, 413.0]], ('Es bediente Sie Service 1.', 0.9292653799057007)], [[[73.0, 412.0], [241.0, 409.0], [241.0, 423.0], [73.0, 426.0]], ('Vielen Dank fur Ihren Besuch !', 0.890609860420227)], [[[94.0, 424.0], [215.0, 422.0], [215.0, 435.0], [94.0, 437.0]], ('St.Nr.119-202-90215', 0.9492313861846924)]]	{"store_name": "Mundart Restaurant", "store_addr": "", "telephone": "Tel.0822/9497565", "date": "vom27.6.2015", "time": "", "subtotal": "24.84\u20ac", "tax": "enth.MwSt19% 4.73\u20ac", "total": "29.60\u20ac 29.60\u20ac 29.60\u20ac", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Saftschorle0.41", "item_value": "11.60\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "CocaCola0,331", "item_value": "12.50\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "Bergkasegnocchl", "item_value": "2.50\u20ac", "item_quantity": "1"}, {"item_key": "", "item_name": "NudeltascherI", "item_value": "3.00\u20ac", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[138.0, 122.0], [218.0, 126.0], [218.0, 139.0], [137.0, 135.0]], ('Pende Chinese Bestouren', 0.7673934698104858)], [[[99.0, 152.0], [181.0, 152.0], [181.0, 166.0], [99.0, 166.0]], ('*REPRINT*', 0.9760329127311707)], [[[116.0, 163.0], [183.0, 165.0], [182.0, 182.0], [115.0, 180.0]], ('Dubai Ma11', 0.9179226756095886)], [[[116.0, 176.0], [181.0, 178.0], [180.0, 192.0], [116.0, 190.0]], ('Food Court', 0.9706050753593445)], [[[89.0, 186.0], [212.0, 188.0], [212.0, 205.0], [89.0, 203.0]], ('Phone NO:04-3399321', 0.9457714557647705)], [[[36.0, 224.0], [65.0, 224.0], [65.0, 238.0], [36.0, 238.0]], ('BILL', 0.9951236248016357)], [[[66.0, 226.0], [85.0, 226.0], [85.0, 238.0], [66.0, 238.0]], ('NO', 0.9911549687385559)], [[[110.0, 225.0], [168.0, 225.0], [168.0, 239.0], [110.0, 239.0]], ('M0364353', 0.9874686002731323)], [[[191.0, 223.0], [244.0, 225.0], [243.0, 242.0], [190.0, 240.0]], ('TABLE:0', 0.895642101764679)], [[[35.0, 236.0], [100.0, 236.0], [100.0, 253.0], [35.0, 253.0]], ('BILL DATE', 0.9479570388793945)], [[[109.0, 238.0], [182.0, 238.0], [182.0, 252.0], [109.0, 252.0]], ('16/02/2017', 0.9962202310562134)], [[[190.0, 239.0], [243.0, 239.0], [243.0, 253.0], [190.0, 253.0]], ('COVERS:1', 0.9303404092788696)], [[[36.0, 250.0], [99.0, 250.0], [99.0, 264.0], [36.0, 264.0]], ('BILL TIME', 0.9563610553741455)], [[[109.0, 250.0], [151.0, 250.0], [151.0, 264.0], [109.0, 264.0]], ('14:03', 0.9191060066223145)], [[[191.0, 248.0], [243.0, 250.0], [242.0, 267.0], [190.0, 265.0]], ('SHIFT:1', 0.9082849621772766)], [[[35.0, 263.0], [85.0, 263.0], [85.0, 277.0], [35.0, 277.0]], ('CASHIER', 0.9979286789894104)], [[[109.0, 263.0], [174.0, 263.0], [174.0, 277.0], [109.0, 277.0]], ('CASHIER1', 0.9905968904495239)], [[[34.0, 288.0], [58.0, 288.0], [58.0, 303.0], [34.0, 303.0]], ('QTY', 0.9657468199729919)], [[[65.0, 287.0], [142.0, 285.0], [142.0, 301.0], [66.0, 304.0]], ('DESCRIPTION', 0.9968145489692688)], [[[216.0, 288.0], [256.0, 288.0], [256.0, 303.0], [216.0, 303.0]], ('AMOUNT', 0.9969490170478821)], [[[65.0, 325.0], [148.0, 322.0], [148.0, 340.0], [66.0, 343.0]], ('SHAO_BAO 3', 0.7976964712142944)], [[[223.0, 324.0], [258.0, 324.0], [258.0, 343.0], [223.0, 343.0]], ('15.00', 0.994310736656189)], [[[63.0, 339.0], [159.0, 336.0], [160.0, 353.0], [64.0, 356.0]], ('GARLIC NOODLES', 0.9703091382980347)], [[[223.0, 336.0], [259.0, 339.0], [257.0, 357.0], [221.0, 354.0]], ('18.00', 0.9945318102836609)], [[[64.0, 364.0], [126.0, 364.0], [126.0, 382.0], [64.0, 382.0]], ('Sub Total', 0.8938764929771423)], [[[218.0, 358.0], [263.0, 361.0], [261.0, 398.0], [215.0, 395.0]], ('33.0', 0.7782407999038696)], [[[65.0, 380.0], [93.0, 380.0], [93.0, 395.0], [65.0, 395.0]], ('CASH', 0.9981292486190796)], [[[58.0, 405.0], [206.0, 401.0], [207.0, 418.0], [59.0, 422.0]], ('THANK YOU -COME AGAIN', 0.9344384074211121)], [[[48.0, 420.0], [223.0, 412.0], [224.0, 430.0], [49.0, 438.0]], ('.CHINESEPALACEGROUP.COM', 0.9657901525497437)]]	{"store_name": "", "store_addr": "DubaiMall FoodCourt", "telephone": "04-3399321", "date": "16/02/2017", "time": "14:03", "subtotal": "33.00", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SHAOBAO(3)", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GARLICNOODLES", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "DESCRIPTION", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[444.0, 45.0], [1020.0, 39.0], [1020.0, 90.0], [445.0, 95.0]], ('Papa lote Taco House', 0.9516781568527222)], [[[380.0, 101.0], [1036.0, 95.0], [1037.0, 143.0], [380.0, 149.0]], ('2803 South Lamar Blvd', 0.9220537543296814)], [[[595.0, 160.0], [872.0, 160.0], [872.0, 207.0], [595.0, 207.0]], ('Suite A-2', 0.9662774205207825)], [[[469.0, 219.0], [964.0, 215.0], [964.0, 274.0], [470.0, 277.0]], ('Austin,TX 78704', 0.9347006678581238)], [[[500.0, 288.0], [939.0, 288.0], [939.0, 344.0], [500.0, 344.0]], ('512804-2474', 0.9917983412742615)], [[[63.0, 430.0], [435.0, 413.0], [440.0, 533.0], [68.0, 550.0]], ('Cntr 123', 0.9191579818725586)], [[[557.0, 467.0], [889.0, 476.0], [887.0, 535.0], [555.0, 526.0]], ('01/05/15-A', 0.9949402809143066)], [[[972.0, 473.0], [1355.0, 473.0], [1355.0, 529.0], [972.0, 529.0]], ('8:23am', 0.9293845295906067)], [[[73.0, 538.0], [623.0, 535.0], [623.0, 591.0], [73.0, 594.0]], ('Guests 1 CASHIER', 0.9437485933303833)], [[[883.0, 535.0], [1358.0, 535.0], [1358.0, 591.0], [883.0, 591.0]], ('Table STANDEE)', 0.9220953583717346)], [[[433.0, 605.0], [746.0, 605.0], [746.0, 664.0], [433.0, 664.0]], ('TO-GO', 0.9708212018013)], [[[942.0, 602.0], [1011.0, 602.0], [1011.0, 666.0], [942.0, 666.0]], ('2', 0.9911871552467346)], [[[50.0, 739.0], [291.0, 739.0], [291.0, 806.0], [50.0, 806.0]], ('3..Taco', 0.9832674264907837)], [[[1246.0, 736.0], [1391.0, 736.0], [1391.0, 801.0], [1246.0, 801.0]], ('6.60', 0.994114100933075)], [[[142.0, 815.0], [352.0, 815.0], [352.0, 874.0], [142.0, 874.0]], ('Cheese', 0.9982298016548157)], [[[1260.0, 874.0], [1414.0, 874.0], [1414.0, 944.0], [1260.0, 944.0]], ('2.00', 0.9949696063995361)], [[[45.0, 885.0], [545.0, 885.0], [545.0, 941.0], [45.0, 941.0]], ('1..MEXICAN COKE', 0.9247583746910095)], [[[684.0, 1024.0], [867.0, 1031.0], [864.0, 1101.0], [681.0, 1094.0]], ('Items', 0.9974328279495239)], [[[1280.0, 1019.0], [1433.0, 1019.0], [1433.0, 1089.0], [1280.0, 1089.0]], ('8.60', 0.9943804144859314)], [[[1338.0, 1098.0], [1439.0, 1098.0], [1439.0, 1168.0], [1338.0, 1168.0]], ('.71', 0.9560559391975403)], [[[548.0, 1112.0], [863.0, 1112.0], [863.0, 1170.0], [548.0, 1170.0]], ('SALES TAX', 0.9584437608718872)], [[[1148.0, 1172.0], [1446.0, 1180.0], [1442.0, 1317.0], [1145.0, 1309.0]], ('9.31', 0.9946990013122559)], [[[514.0, 1240.0], [858.0, 1240.0], [858.0, 1308.0], [514.0, 1308.0]], ('TOTAL', 0.9985262751579285)], [[[573.0, 1397.0], [872.0, 1397.0], [872.0, 1467.0], [573.0, 1467.0]], ('CASH', 0.9958059787750244)], [[[1102.0, 1391.0], [1470.0, 1401.0], [1468.0, 1471.0], [1100.0, 1461.0]], ('20.00', 0.9736061096191406)], [[[564.0, 1487.0], [861.0, 1487.0], [861.0, 1557.0], [564.0, 1557.0]], ('due)', 0.892937183380127)], [[[1116.0, 1478.0], [1484.0, 1484.0], [1483.0, 1560.0], [1114.0, 1554.0]], ('10.69', 0.9951314926147461)], [[[26.0, 1489.0], [492.0, 1495.0], [491.0, 1563.0], [25.0, 1557.0]], ('Change', 0.9942881464958191)], [[[553.0, 1576.0], [1274.0, 1576.0], [1274.0, 1641.0], [553.0, 1641.0]], ('8:23am FILESVR#1-A', 0.9260345101356506)], [[[5.0, 1588.0], [505.0, 1576.0], [506.0, 1643.0], [7.0, 1655.0]], ('eck 123 PAID', 0.9125117659568787)], [[[402.0, 1770.0], [1090.0, 1770.0], [1090.0, 1845.0], [402.0, 1845.0]], ('CALL FOR CATERING', 0.9632244110107422)], [[[388.0, 1977.0], [1062.0, 1977.0], [1062.0, 2061.0], [388.0, 2061.0]], ('WI-FI 393DEA453D', 0.967137336730957)]]	{"store_name": "PapaloteTacoHouse", "store_addr": "2803SouthLamarBlvd. SuiteA-2 Austin,TX78704", "telephone": "(512)804-2474", "date": "01/05/15-A", "time": "8:23am 8:23am", "subtotal": "8.60", "tax": ".71", "total": "9.31", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "..Taco", "item_value": "6.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Cheese", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "..MEXICANCOKE", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[106.0, 11.0], [215.0, 2.0], [216.0, 20.0], [108.0, 29.0]], ('Danbury.CT06811', 0.9460052251815796)], [[[122.0, 24.0], [202.0, 16.0], [203.0, 31.0], [124.0, 39.0]], ('203-748-0426', 0.9905994534492493)], [[[82.0, 42.0], [241.0, 28.0], [243.0, 45.0], [83.0, 59.0]], ('ww.bgrtheburgerjoint.com', 0.9849866032600403)], [[[46.0, 82.0], [123.0, 81.0], [124.0, 99.0], [47.0, 100.0]], ('9003Wendy M', 0.9607210755348206)], [[[161.0, 110.0], [181.0, 110.0], [181.0, 126.0], [161.0, 126.0]], ('35', 0.6181959509849548)], [[[254.0, 104.0], [301.0, 102.0], [302.0, 120.0], [255.0, 123.0]], ('Gst 0', 0.8889845013618469)], [[[40.0, 114.0], [86.0, 114.0], [86.0, 129.0], [40.0, 129.0]], ('Chk 114', 0.9351663589477539)], [[[112.0, 128.0], [217.0, 122.0], [218.0, 139.0], [113.0, 145.0]], ('Nov151403:29PM', 0.956332802772522)], [[[60.0, 160.0], [151.0, 160.0], [151.0, 174.0], [60.0, 174.0]], ('Dine In', 0.933807373046875)], [[[45.0, 176.0], [127.0, 176.0], [127.0, 190.0], [45.0, 190.0]], ('1 The Burger', 0.9280708432197571)], [[[250.0, 171.0], [283.0, 171.0], [283.0, 188.0], [250.0, 188.0]], ('6.99', 0.9970337152481079)], [[[71.0, 192.0], [151.0, 192.0], [151.0, 206.0], [71.0, 206.0]], ('$Pepper Jack', 0.9692452549934387)], [[[249.0, 187.0], [283.0, 184.0], [284.0, 203.0], [250.0, 206.0]], ('0.99', 0.9954455494880676)], [[[68.0, 207.0], [121.0, 207.0], [121.0, 223.0], [68.0, 223.0]], ('$Bacon', 0.9875164031982422)], [[[252.0, 206.0], [285.0, 206.0], [285.0, 222.0], [252.0, 222.0]], ('660', 0.9910054206848145)], [[[68.0, 221.0], [146.0, 224.0], [146.0, 240.0], [67.0, 238.0]], ('$ Jalapenos', 0.9457418322563171)], [[[252.0, 222.0], [285.0, 222.0], [285.0, 239.0], [252.0, 239.0]], ('0.99', 0.9941479563713074)], [[[67.0, 240.0], [138.0, 240.0], [138.0, 257.0], [67.0, 257.0]], ('$Fried Egg', 0.9436994791030884)], [[[254.0, 240.0], [285.0, 240.0], [285.0, 256.0], [254.0, 256.0]], ('1.49', 0.9909499883651733)], [[[41.0, 255.0], [132.0, 257.0], [131.0, 275.0], [40.0, 273.0]], ('1 Regular Fry', 0.9517750144004822)], [[[254.0, 258.0], [287.0, 258.0], [287.0, 275.0], [254.0, 275.0]], ('2.99', 0.996963620185852)], [[[41.0, 274.0], [144.0, 276.0], [144.0, 293.0], [40.0, 291.0]], ('1 Fountain Soda', 0.9199473261833191)], [[[254.0, 275.0], [289.0, 275.0], [289.0, 294.0], [254.0, 294.0]], ('2.60', 0.9746454954147339)], [[[46.0, 292.0], [158.0, 293.0], [158.0, 309.0], [45.0, 308.0]], ('XXXXXXXXXXXX2692', 0.7369625568389893)], [[[50.0, 309.0], [84.0, 309.0], [84.0, 328.0], [50.0, 328.0]], ('Visa', 0.9966514110565186)], [[[250.0, 312.0], [291.0, 312.0], [291.0, 331.0], [250.0, 331.0]], ('18.12', 0.9569040536880493)]]	{"store_name": "", "store_addr": "Danbury,CT06811", "telephone": "203-748-0426", "date": "Nov15\u203214", "time": "03:29PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "TheBurger", "item_value": "6.99", "item_quantity": "1"}, {"item_key": "", "item_name": "$PepperJack", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "$Bacon", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "$Jalapenos", "item_value": "0.99", "item_quantity": "1"}, {"item_key": "", "item_name": "$FriedEgg", "item_value": "1.49", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularFry", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "FountainSoda", "item_value": "2.60", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[121.0, 228.0], [232.0, 228.0], [232.0, 248.0], [121.0, 248.0]], ('WELCOME', 0.9962794184684753)], [[[32.0, 267.0], [248.0, 266.0], [248.0, 283.0], [32.0, 284.0]], ('TP96960592-001', 0.9721617698669434)], [[[32.0, 285.0], [342.0, 284.0], [342.0, 302.0], [32.0, 303.0]], ('DOUBLE AA CORPFUELS', 0.9323746562004089)], [[[35.0, 304.0], [311.0, 304.0], [311.0, 321.0], [35.0, 321.0]], ('36S S ELCAMIN0 R', 0.8834267854690552)], [[[35.0, 323.0], [185.0, 323.0], [185.0, 340.0], [35.0, 340.0]], ('SAN MATEOS', 0.9612730741500854)], [[[230.0, 322.0], [311.0, 322.0], [311.0, 340.0], [230.0, 340.0]], ('CA94', 0.9971161484718323)], [[[35.0, 377.0], [94.0, 377.0], [94.0, 395.0], [35.0, 395.0]], ('DATE', 0.995637059211731)], [[[187.0, 378.0], [311.0, 378.0], [311.0, 395.0], [187.0, 395.0]], ('12/06/15', 0.9573184251785278)], [[[33.0, 395.0], [94.0, 395.0], [94.0, 413.0], [33.0, 413.0]], ('TIME', 0.9951958656311035)], [[[201.0, 395.0], [313.0, 397.0], [312.0, 415.0], [201.0, 413.0]], ('6:53PM', 0.9340610504150391)], [[[35.0, 412.0], [218.0, 414.0], [218.0, 432.0], [34.0, 430.0]], ('AUTH X8T2UX', 0.8713995218276978)], [[[36.0, 450.0], [95.0, 450.0], [95.0, 468.0], [36.0, 468.0]], ('UISA', 0.9823806285858154)], [[[36.0, 466.0], [187.0, 470.0], [186.0, 488.0], [35.0, 484.0]], ('ESMAN/GLEB', 0.9940565824508667)], [[[36.0, 503.0], [95.0, 503.0], [95.0, 521.0], [36.0, 521.0]], ('PUMP', 0.9811954498291016)], [[[125.0, 503.0], [234.0, 506.0], [233.0, 524.0], [125.0, 521.0]], ('PRODUCT', 0.9965541958808899)], [[[264.0, 506.0], [313.0, 508.0], [312.0, 527.0], [263.0, 525.0]], ('PPG', 0.9936525225639343)], [[[48.0, 519.0], [81.0, 522.0], [79.0, 541.0], [46.0, 538.0]], ('01', 0.989619791507721)], [[[139.0, 520.0], [205.0, 522.0], [205.0, 543.0], [138.0, 541.0]], ('UNLD', 0.9962007999420166)], [[[248.0, 524.0], [343.0, 527.0], [342.0, 547.0], [248.0, 544.0]], ('$2.699', 0.9807004332542419)], [[[47.0, 555.0], [158.0, 558.0], [157.0, 578.0], [47.0, 575.0]], ('GALLONS', 0.9965596199035645)], [[[232.0, 560.0], [313.0, 563.0], [312.0, 584.0], [231.0, 581.0]], ('TOTAL', 0.9982800483703613)], [[[48.0, 575.0], [141.0, 577.0], [140.0, 595.0], [48.0, 593.0]], ('12.143', 0.9974111914634705)], [[[231.0, 580.0], [326.0, 584.0], [325.0, 602.0], [230.0, 598.0]], ('$32.77', 0.994543731212616)], [[[109.0, 669.0], [247.0, 674.0], [246.0, 691.0], [108.0, 686.0]], ('THANK YOU', 0.9565646052360535)], [[[60.0, 685.0], [295.0, 693.0], [294.0, 713.0], [59.0, 705.0]], ('HAVE A NICE DAY', 0.898938000202179)]]	{"store_name": "", "store_addr": "2300SELCAMINOR SANMATEOSCA94", "telephone": "", "date": "12/06/15", "time": "6:53PM", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "UNLD", "item_value": "", "item_quantity": ""}, {"item_key": "PRODUCT", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[118.0, 121.0], [307.0, 123.0], [307.0, 140.0], [118.0, 139.0]], ('8/02/20138:35:59AM', 0.9606877565383911)], [[[394.0, 124.0], [486.0, 128.0], [485.0, 145.0], [393.0, 142.0]], ('#MIBPZ39BU', 0.9905702471733093)], [[[251.0, 160.0], [362.0, 160.0], [362.0, 177.0], [251.0, 177.0]], ('Jothi Stores', 0.9716787338256836)], [[[215.0, 182.0], [391.0, 182.0], [391.0, 199.0], [215.0, 199.0]], ('1-994/14,Main road', 0.9304434657096863)], [[[249.0, 203.0], [355.0, 203.0], [355.0, 224.0], [249.0, 224.0]], ('Viswanatham', 0.9934812784194946)], [[[174.0, 229.0], [428.0, 226.0], [428.0, 245.0], [174.0, 248.0]], ('SivakasiTami Nadu 626189', 0.9570279717445374)], [[[249.0, 251.0], [364.0, 249.0], [364.0, 270.0], [249.0, 272.0]], ('04562-272327', 0.9954032301902771)], [[[212.0, 277.0], [391.0, 274.0], [392.0, 294.0], [213.0, 298.0]], ('www.jothistores.com', 0.9934549927711487)], [[[121.0, 325.0], [361.0, 322.0], [361.0, 341.0], [122.0, 344.0]], ('Cashier manage,Biling 1', 0.9210525751113892)], [[[125.0, 369.0], [211.0, 369.0], [211.0, 391.0], [125.0, 391.0]], ('Item Name', 0.9398160576820374)], [[[280.0, 367.0], [339.0, 367.0], [339.0, 389.0], [280.0, 389.0]], ('Option', 0.995988130569458)], [[[368.0, 365.0], [402.0, 365.0], [402.0, 390.0], [368.0, 390.0]], ('Qty', 0.9961324334144592)], [[[440.0, 365.0], [492.0, 365.0], [492.0, 388.0], [440.0, 388.0]], ('Price', 0.9977042078971863)], [[[127.0, 417.0], [168.0, 413.0], [170.0, 433.0], [129.0, 437.0]], ('curd', 0.9969306588172913)], [[[386.0, 411.0], [402.0, 411.0], [402.0, 431.0], [386.0, 431.0]], ('1', 0.9086718559265137)], [[[441.0, 410.0], [491.0, 410.0], [491.0, 432.0], [441.0, 432.0]], ('10.00', 0.9954138994216919)], [[[128.0, 435.0], [170.0, 435.0], [170.0, 458.0], [128.0, 458.0]], ('Puli', 0.9891807436943054)], [[[280.0, 431.0], [321.0, 434.0], [320.0, 457.0], [279.0, 454.0]], ('250g', 0.9994288682937622)], [[[386.0, 433.0], [402.0, 433.0], [402.0, 454.0], [386.0, 454.0]], ('1', 0.834074854850769)], [[[441.0, 433.0], [489.0, 433.0], [489.0, 452.0], [441.0, 452.0]], ('24.00', 0.9949525594711304)], [[[128.0, 458.0], [190.0, 455.0], [191.0, 477.0], [129.0, 479.0]], ('Kaduku', 0.9926549792289734)], [[[284.0, 454.0], [320.0, 457.0], [319.0, 479.0], [282.0, 476.0]], ('100g', 0.9993671774864197)], [[[388.0, 457.0], [400.0, 457.0], [400.0, 476.0], [388.0, 476.0]], ('1', 0.5663402676582336)], [[[447.0, 455.0], [489.0, 455.0], [489.0, 477.0], [447.0, 477.0]], ('7.50', 0.9963939189910889)], [[[317.0, 499.0], [398.0, 499.0], [398.0, 520.0], [317.0, 520.0]], ('Subtotal:', 0.9843552708625793)], [[[441.0, 500.0], [488.0, 500.0], [488.0, 519.0], [441.0, 519.0]], ('41.50', 0.9952271580696106)], [[[359.0, 522.0], [398.0, 522.0], [398.0, 542.0], [359.0, 542.0]], ('Tax:', 0.9145755767822266)], [[[447.0, 522.0], [488.0, 522.0], [488.0, 542.0], [447.0, 542.0]], ('0.00', 0.9981580376625061)], [[[272.0, 544.0], [398.0, 544.0], [398.0, 564.0], [272.0, 564.0]], ('RECEIPT TOTAL:', 0.9550144076347351)], [[[441.0, 545.0], [489.0, 545.0], [489.0, 564.0], [441.0, 564.0]], ('41.50', 0.9959171414375305)], [[[234.0, 586.0], [353.0, 588.0], [353.0, 610.0], [234.0, 607.0]], ('Cash100.00', 0.9940879940986633)], [[[163.0, 609.0], [345.0, 610.0], [345.0, 631.0], [163.0, 630.0]], ('Change Given58.50', 0.9417681097984314)], [[[121.0, 657.0], [256.0, 657.0], [256.0, 677.0], [121.0, 677.0]], ('www.fiverr.com', 0.9904096722602844)], [[[214.0, 774.0], [401.0, 774.0], [401.0, 792.0], [214.0, 792.0]], ('MIBPZ39BU', 0.9446057081222534)]]	{"store_name": "JothiStores", "store_addr": "Sivakasi,TamilNadu626189 Viswanatham 1-994/14,Mainroad", "telephone": "04562-272327", "date": "8/02/2013", "time": "8:35:59AM", "subtotal": "41.50", "tax": "0.00", "total": "41.50", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Kaduku", "item_value": "7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Puli", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "curd", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "ItemName", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[99.0, 38.0], [348.0, 59.0], [344.0, 109.0], [95.0, 88.0]], ('Secret Recipe', 0.9330821633338928)], [[[153.0, 120.0], [293.0, 125.0], [293.0, 142.0], [153.0, 137.0]], ('#03-18 PLAZA SINGAPURA', 0.9586427807807922)], [[[121.0, 136.0], [323.0, 144.0], [323.0, 161.0], [121.0, 153.0]], ('68 ORCHARD ROAD SINGAPORE 238839', 0.9388839602470398)], [[[128.0, 153.0], [310.0, 160.0], [310.0, 177.0], [128.0, 170.0]], ('TEL6341 9909 FAX:6341 9949', 0.9349240064620972)], [[[152.0, 171.0], [292.0, 176.0], [292.0, 193.0], [152.0, 188.0]], ('GST REG NO199901752Z', 0.935082733631134)], [[[72.0, 206.0], [161.0, 206.0], [161.0, 231.0], [72.0, 231.0]], ('INVOICE', 0.9987114667892456)], [[[319.0, 208.0], [370.0, 208.0], [370.0, 235.0], [319.0, 235.0]], ('1971', 0.9995355010032654)], [[[70.0, 235.0], [164.0, 235.0], [164.0, 259.0], [70.0, 259.0]], ('Table#', 0.9698388576507568)], [[[357.0, 237.0], [372.0, 237.0], [372.0, 261.0], [357.0, 261.0]], ('2', 0.7751497626304626)], [[[69.0, 277.0], [137.0, 277.0], [137.0, 294.0], [69.0, 294.0]], ('Guest', 0.9972634315490723)], [[[360.0, 277.0], [374.0, 277.0], [374.0, 294.0], [360.0, 294.0]], ('2', 0.99765944480896)], [[[80.0, 294.0], [187.0, 291.0], [187.0, 308.0], [80.0, 311.0]], ('1 CHOC BANANA(S', 0.9206196665763855)], [[[348.0, 294.0], [376.0, 294.0], [376.0, 310.0], [348.0, 310.0]], ('5.50', 0.9982436299324036)], [[[80.0, 311.0], [164.0, 311.0], [164.0, 327.0], [80.0, 327.0]], ('1ICED MOCHA', 0.9572458267211914)], [[[348.0, 310.0], [377.0, 310.0], [377.0, 325.0], [348.0, 325.0]], ('5.90', 0.9968097805976868)], [[[95.0, 328.0], [168.0, 328.0], [168.0, 342.0], [95.0, 342.0]], ('10%-SRCARD', 0.9807170033454895)], [[[345.0, 326.0], [378.0, 326.0], [378.0, 341.0], [345.0, 341.0]], ('-1.14', 0.9626373052597046)], [[[95.0, 362.0], [168.0, 362.0], [168.0, 376.0], [95.0, 376.0]], ('10%SERVICE', 0.9928033947944641)], [[[351.0, 358.0], [380.0, 358.0], [380.0, 374.0], [351.0, 374.0]], ('1.03', 0.9952517747879028)], [[[93.0, 377.0], [138.0, 377.0], [138.0, 395.0], [93.0, 395.0]], ('7%GST', 0.9589637517929077)], [[[352.0, 375.0], [381.0, 375.0], [381.0, 391.0], [352.0, 391.0]], ('0.79', 0.9946529865264893)], [[[77.0, 397.0], [130.0, 397.0], [130.0, 424.0], [77.0, 424.0]], ('2 Total', 0.9494944214820862)], [[[346.0, 392.0], [384.0, 392.0], [384.0, 420.0], [346.0, 420.0]], ('12.00', 0.9958118200302124)], [[[91.0, 426.0], [147.0, 422.0], [148.0, 442.0], [92.0, 446.0]], ('SUBTOTAL', 0.9970598220825195)], [[[348.0, 420.0], [384.0, 420.0], [384.0, 439.0], [348.0, 439.0]], ('10.26', 0.9891793131828308)], [[[64.0, 465.0], [148.0, 462.0], [149.0, 491.0], [65.0, 493.0]], ('DINERS', 0.9982268810272217)], [[[316.0, 458.0], [385.0, 455.0], [386.0, 485.0], [317.0, 488.0]], ('12.00', 0.9983822107315063)], [[[64.0, 514.0], [262.0, 508.0], [262.0, 525.0], [64.0, 531.0]], ('Saturday 16-2-2013 18:00:01', 0.936975359916687)], [[[64.0, 532.0], [204.0, 528.0], [204.0, 545.0], [64.0, 549.0]], ('#265578 L0001 KASIMA', 0.9496961832046509)], [[[193.0, 547.0], [257.0, 544.0], [258.0, 562.0], [194.0, 565.0]], ('THANK YOU', 0.9448897242546082)], [[[180.0, 566.0], [279.0, 563.0], [279.0, 581.0], [180.0, 584.0]], ('FOR YOUR VISIT', 0.9461361169815063)]]	{"store_name": "", "store_addr": "#03-18PLAZASINGAPURA 68ORCHARDROADSINGAPORE238839", "telephone": "63419909", "date": "16-2-2013", "time": "18:00:01", "subtotal": "10.26", "tax": "0.79", "total": "12.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CHOCBANANA(S)", "item_value": "5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ICEDMOCHA", "item_value": "5.90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[107.0, 115.0], [187.0, 112.0], [187.0, 126.0], [108.0, 129.0]], ('Souk waqis', 0.7793515920639038)], [[[113.0, 125.0], [205.0, 120.0], [206.0, 134.0], [114.0, 139.0]], ('Tel:44312682', 0.9481675624847412)], [[[120.0, 147.0], [174.0, 147.0], [174.0, 158.0], [120.0, 158.0]], ('Invoice', 0.9893200993537903)], [[[35.0, 164.0], [113.0, 167.0], [112.0, 178.0], [34.0, 175.0]], ('Table No.9', 0.81721431016922)], [[[33.0, 175.0], [131.0, 177.0], [130.0, 188.0], [33.0, 186.0]], ('Date:14/J1/16', 0.9038108587265015)], [[[129.0, 168.0], [186.0, 167.0], [186.0, 178.0], [129.0, 179.0]], ('Quests:1', 0.7656409740447998)], [[[29.0, 183.0], [173.0, 187.0], [173.0, 201.0], [29.0, 197.0]], ('Time18:3711 CHKNo', 0.8371663093566895)], [[[184.0, 186.0], [228.0, 183.0], [229.0, 194.0], [185.0, 197.0]], ('89945', 0.977790355682373)], [[[22.0, 204.0], [92.0, 206.0], [92.0, 220.0], [22.0, 218.0]], ('Qty Item', 0.9008389711380005)], [[[162.0, 210.0], [200.0, 210.0], [200.0, 221.0], [162.0, 221.0]], ('Price', 0.9829580187797546)], [[[218.0, 205.0], [269.0, 199.0], [270.0, 213.0], [220.0, 219.0]], ('Amount', 0.9972473978996277)], [[[29.0, 227.0], [99.0, 231.0], [98.0, 245.0], [29.0, 241.0]], ('1', 0.5857684016227722)], [[[166.0, 232.0], [201.0, 230.0], [202.0, 244.0], [167.0, 246.0]], ('2.00', 0.9980403184890747)], [[[235.0, 227.0], [272.0, 224.0], [273.0, 238.0], [236.0, 241.0]], ('2.00', 0.9975560307502747)], [[[167.0, 246.0], [201.0, 246.0], [201.0, 257.0], [167.0, 257.0]], ('3.00', 0.9991832971572876)], [[[236.0, 241.0], [272.0, 236.0], [274.0, 251.0], [238.0, 256.0]], ('3.00', 0.9977503418922424)], [[[111.0, 258.0], [201.0, 258.0], [201.0, 271.0], [111.0, 271.0]], ('25.00', 0.9839513897895813)], [[[228.0, 255.0], [275.0, 250.0], [276.0, 265.0], [230.0, 270.0]], ('25.00', 0.9961181879043579)], [[[190.0, 289.0], [198.0, 289.0], [198.0, 299.0], [190.0, 299.0]], (':', 0.7541817426681519)], [[[230.0, 285.0], [277.0, 280.0], [278.0, 295.0], [231.0, 300.0]], ('30.00', 0.9972679018974304)], [[[59.0, 295.0], [131.0, 300.0], [130.0, 314.0], [58.0, 309.0]], ('Discount', 0.9960687160491943)], [[[239.0, 299.0], [279.0, 295.0], [280.0, 310.0], [240.0, 314.0]], ('0.00', 0.9969227313995361)], [[[57.0, 310.0], [183.0, 318.0], [182.0, 332.0], [56.0, 324.0]], ('Service Charge', 0.9832385182380676)], [[[241.0, 314.0], [280.0, 314.0], [280.0, 329.0], [241.0, 329.0]], ('0.00', 0.990504264831543)], [[[54.0, 326.0], [173.0, 333.0], [172.0, 347.0], [54.0, 340.0]], ('Total Invoice', 0.9694932699203491)], [[[232.0, 332.0], [283.0, 328.0], [285.0, 346.0], [233.0, 350.0]], ('30.00', 0.9882734417915344)], [[[1.0, 362.0], [235.0, 374.0], [234.0, 391.0], [1.0, 379.0]], ('cessed by motea alhamedi', 0.9636476635932922)], [[[0.0, 380.0], [198.0, 391.0], [197.0, 408.0], [0.0, 397.0]], ('nk You for your visit', 0.9454330205917358)]]	{"store_name": "SanaaRestaurant", "store_addr": "", "telephone": "44312682", "date": "14/Jul/16", "time": "18:37:11", "subtotal": "", "tax": "", "total": "30.00 30.00", "ignore": " ", "tips": "0.00", "line_items": [{"item_key": "Item", "item_name": "", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[26.0, 58.0], [97.0, 60.0], [97.0, 74.0], [26.0, 72.0]], ('Area:Patio', 0.9067066311836243)], [[[29.0, 86.0], [101.0, 89.0], [101.0, 103.0], [29.0, 100.0]], ('Med Chop Sa1', 0.8678960204124451)], [[[241.0, 90.0], [272.0, 90.0], [272.0, 105.0], [241.0, 105.0]], ('11.50', 0.9944126009941101)], [[[31.0, 103.0], [124.0, 103.0], [124.0, 118.0], [31.0, 118.0]], ('Margierita Pizza', 0.955557107925415)], [[[242.0, 102.0], [272.0, 105.0], [271.0, 120.0], [241.0, 117.0]], ('11.00', 0.9964209794998169)], [[[30.0, 115.0], [102.0, 118.0], [102.0, 132.0], [30.0, 129.0]], ('Bison Burger', 0.9062466621398926)], [[[241.0, 119.0], [272.0, 119.0], [272.0, 133.0], [241.0, 133.0]], ('16.00', 0.9925786256790161)], [[[31.0, 132.0], [114.0, 132.0], [114.0, 146.0], [31.0, 146.0]], ('D-ChiTi Shrimp', 0.9309113621711731)], [[[241.0, 133.0], [270.0, 133.0], [270.0, 147.0], [241.0, 147.0]], ('18.00', 0.9745033383369446)], [[[32.0, 147.0], [163.0, 147.0], [163.0, 160.0], [32.0, 160.0]], ('Southern Star 2 5.75)', 0.9262251257896423)], [[[239.0, 147.0], [270.0, 147.0], [270.0, 161.0], [239.0, 161.0]], ('11.50', 0.9937040209770203)], [[[30.0, 158.0], [142.0, 160.0], [142.0, 174.0], [30.0, 172.0]], ('G_Tangent 2 67.00', 0.9213296175003052)], [[[240.0, 160.0], [270.0, 160.0], [270.0, 174.0], [240.0, 174.0]], ('14.00', 0.9959307909011841)], [[[31.0, 171.0], [97.0, 173.0], [97.0, 187.0], [31.0, 185.0]], ('Love Street', 0.9236555695533752)], [[[244.0, 174.0], [271.0, 174.0], [271.0, 187.0], [244.0, 187.0]], ('5.75', 0.9950283169746399)], [[[30.0, 185.0], [92.0, 187.0], [92.0, 201.0], [30.0, 199.0]], ('Da1ly Soup', 0.8804114460945129)], [[[245.0, 185.0], [272.0, 185.0], [272.0, 200.0], [245.0, 200.0]], ('7.00', 0.993586003780365)], [[[28.0, 211.0], [79.0, 211.0], [79.0, 228.0], [28.0, 228.0]], ('Subtotal', 0.9900919795036316)], [[[242.0, 208.0], [274.0, 210.0], [273.0, 226.0], [241.0, 224.0]], ('94.75', 0.987223744392395)], [[[29.0, 227.0], [51.0, 227.0], [51.0, 242.0], [29.0, 242.0]], ('Tax', 0.6096411347389221)], [[[248.0, 224.0], [276.0, 224.0], [276.0, 239.0], [248.0, 239.0]], ('7.82', 0.9933821558952332)], [[[26.0, 257.0], [60.0, 257.0], [60.0, 272.0], [26.0, 272.0]], ('Total', 0.9932888746261597)], [[[241.0, 252.0], [278.0, 252.0], [278.0, 267.0], [241.0, 267.0]], ('102.57', 0.9954844117164612)], [[[26.0, 285.0], [160.0, 282.0], [160.0, 296.0], [26.0, 299.0]], ('Balance Due', 0.962932825088501)], [[[208.0, 280.0], [278.0, 280.0], [278.0, 294.0], [208.0, 294.0]], ('102.57', 0.9940266609191895)], [[[93.0, 312.0], [212.0, 309.0], [212.0, 323.0], [93.0, 327.0]], ('$1 of each kids mea', 0.8983641266822815)], [[[82.0, 328.0], [220.0, 324.0], [220.0, 338.0], [82.0, 342.0]], ('Sold wi11 be donated to', 0.8790594935417175)], [[[76.0, 342.0], [227.0, 337.0], [228.0, 354.0], [76.0, 359.0]], ('No Kid Hungry in a fight', 0.935603141784668)], [[[82.0, 356.0], [225.0, 352.0], [226.0, 369.0], [83.0, 372.0]], ('Against childood hunger', 0.8305922746658325)], [[[119.0, 372.0], [190.0, 372.0], [190.0, 383.0], [119.0, 383.0]], ('NowAugust', 0.692939043045044)], [[[96.0, 385.0], [209.0, 384.0], [209.0, 398.0], [96.0, 399.0]], ('He/pFeedlheSoul.com', 0.8790890574455261)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "94.75", "tax": "7.82", "total": "102.57 102.57", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DailySoup", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LoveStreet", "item_value": "5.75", "item_quantity": "1"}, {"item_key": "", "item_name": "G_Tangent(2@7.00)", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SouthernStar(2@5.75)", "item_value": "11.50", "item_quantity": "1"}, {"item_key": "", "item_name": "D-ChiliShrimp", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BisonBurger", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MargheritaPizza", "item_value": "11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MedChopSal", "item_value": "11.50", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[85.0, 30.0], [192.0, 32.0], [191.0, 50.0], [84.0, 48.0]], ('Marche Somerset', 0.9506025314331055)], [[[104.0, 49.0], [178.0, 49.0], [178.0, 64.0], [104.0, 64.0]], ('BAKERY', 0.9966058135032654)], [[[22.0, 74.0], [101.0, 76.0], [101.0, 94.0], [22.0, 92.0]], ('7001 Marlina', 0.95263671875)], [[[16.0, 107.0], [69.0, 107.0], [69.0, 122.0], [16.0, 122.0]], ('Chk 6046', 0.9443689584732056)], [[[129.0, 107.0], [266.0, 107.0], [266.0, 122.0], [129.0, 122.0]], ("09Dec'09 08:04Gst 0", 0.8810175061225891)], [[[43.0, 138.0], [153.0, 138.0], [153.0, 152.0], [43.0, 152.0]], ('Take Away', 0.949298620223999)], [[[28.0, 152.0], [143.0, 152.0], [143.0, 167.0], [28.0, 167.0]], ('1 Four Mini Select', 0.9445512294769287)], [[[221.0, 151.0], [251.0, 151.0], [251.0, 168.0], [221.0, 168.0]], ('2.40', 0.9912679195404053)], [[[39.0, 169.0], [69.0, 169.0], [69.0, 184.0], [39.0, 184.0]], ('Cash', 0.9972577691078186)], [[[223.0, 168.0], [251.0, 168.0], [251.0, 183.0], [223.0, 183.0]], ('4.00', 0.9907065629959106)], [[[39.0, 199.0], [94.0, 199.0], [94.0, 217.0], [39.0, 217.0]], ('Subtotal', 0.9947625398635864)], [[[224.0, 198.0], [253.0, 198.0], [253.0, 215.0], [224.0, 215.0]], ('2.40', 0.9932864308357239)], [[[39.0, 214.0], [64.0, 217.0], [62.0, 234.0], [37.0, 231.0]], ('Tax', 0.9934265613555908)], [[[224.0, 215.0], [253.0, 215.0], [253.0, 230.0], [224.0, 230.0]], ('0.17', 0.9893311858177185)], [[[39.0, 232.0], [86.0, 232.0], [86.0, 248.0], [39.0, 248.0]], ('Payment', 0.9978675842285156)], [[[224.0, 230.0], [254.0, 230.0], [254.0, 247.0], [224.0, 247.0]], ('2.55', 0.9860498309135437)], [[[38.0, 248.0], [106.0, 248.0], [106.0, 266.0], [38.0, 266.0]], ('Change Due', 0.9658985137939453)], [[[225.0, 247.0], [255.0, 247.0], [255.0, 262.0], [225.0, 262.0]], ('1.45', 0.9925934672355652)], [[[39.0, 282.0], [157.0, 282.0], [157.0, 296.0], [39.0, 296.0]], ('Marche Restaurants', 0.9840610027313232)], [[[36.0, 298.0], [249.0, 294.0], [249.0, 310.0], [37.0, 315.0]], ('313 Somerset313 Orchard Road', 0.9501463174819946)], [[[37.0, 315.0], [236.0, 312.0], [237.0, 327.0], [38.0, 329.0]], ('Provisiona1 Unit No. #B1-39-46', 0.9260360598564148)], [[[36.0, 331.0], [147.0, 329.0], [147.0, 347.0], [37.0, 349.0]], ('Singapore 238895', 0.9642354249954224)], [[[38.0, 349.0], [211.0, 347.0], [212.0, 361.0], [39.0, 364.0]], ('www.marche-restaurants.com', 0.9920393228530884)], [[[177.0, 383.0], [298.0, 383.0], [298.0, 398.0], [177.0, 398.0]], ('alwaysfood.blogspot.com', 0.9918187856674194)]]	{"store_name": "Marche@Somerset BAKERY MarcheRestaurants", "store_addr": "313@Somerset,313OrchardRoad ProvisionalUnitNo.#B1-39-46 Singapore238895", "telephone": "", "date": "09Dec'09", "time": "08:04", "subtotal": "2.40", "tax": "0.17", "total": "2.55", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FourMiniSelect", "item_value": "2.40", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[380.0, 92.0], [569.0, 83.0], [572.0, 136.0], [382.0, 146.0]], ('food', 0.9983158111572266)], [[[289.0, 132.0], [668.0, 132.0], [668.0, 213.0], [289.0, 213.0]], ('Basics', 0.960935652256012)], [[[91.0, 285.0], [832.0, 275.0], [833.0, 343.0], [92.0, 354.0]], ('alwaysmore forless!', 0.9735558032989502)], [[[252.0, 373.0], [717.0, 368.0], [718.0, 408.0], [252.0, 413.0]], ('STORE#630905)270-2143', 0.968049168586731)], [[[763.0, 382.0], [798.0, 382.0], [798.0, 405.0], [763.0, 405.0]], ('*', 0.8399734497070312)], [[[242.0, 420.0], [737.0, 406.0], [738.0, 446.0], [243.0, 460.0]], ('HSTREG-#R105216170**', 0.9436201453208923)], [[[153.0, 615.0], [793.0, 590.0], [795.0, 628.0], [155.0, 654.0]], ('7/27/11 11:22 AM 063001 0209 224', 0.9044910073280334)], [[[731.0, 685.0], [816.0, 685.0], [816.0, 723.0], [731.0, 723.0]], ('2.69', 0.9513996839523315)], [[[851.0, 685.0], [878.0, 685.0], [878.0, 720.0], [851.0, 720.0]], ('H', 0.995644211769104)], [[[283.0, 700.0], [512.0, 693.0], [513.0, 728.0], [284.0, 735.0]], ('RITZ CRACKER', 0.9611425399780273)], [[[731.0, 732.0], [816.0, 732.0], [816.0, 770.0], [731.0, 770.0]], ('2.26', 0.9719992280006409)], [[[287.0, 744.0], [512.0, 738.0], [513.0, 773.0], [288.0, 779.0]], ('FUDGEEO COOK', 0.9565243721008301)], [[[756.0, 773.0], [836.0, 773.0], [836.0, 817.0], [756.0, 817.0]], ('.38-', 0.9740149974822998)], [[[143.0, 788.0], [515.0, 783.0], [516.0, 818.0], [144.0, 823.0]], ('MC 148 $OREO FUDGEO', 0.8909206390380859)], [[[729.0, 820.0], [818.0, 820.0], [818.0, 863.0], [729.0, 863.0]], ('5.99', 0.9346514940261841)], [[[290.0, 830.0], [515.0, 826.0], [516.0, 861.0], [291.0, 865.0]], ('ACTIVA YOGUR', 0.968839704990387)], [[[292.0, 873.0], [517.0, 873.0], [517.0, 908.0], [292.0, 908.0]], ('PILLS.CRES.D', 0.9812653064727783)], [[[729.0, 867.0], [818.0, 863.0], [820.0, 906.0], [731.0, 911.0]], ('2.19', 0.9948314428329468)], [[[292.0, 917.0], [462.0, 917.0], [462.0, 950.0], [292.0, 950.0]], ('H-HST 13%', 0.9151861667633057)], [[[779.0, 912.0], [838.0, 912.0], [838.0, 952.0], [779.0, 952.0]], ('35', 0.9993500709533691)], [[[290.0, 957.0], [354.0, 957.0], [354.0, 995.0], [290.0, 995.0]], ('TAX', 0.9920298457145691)], [[[484.0, 960.0], [542.0, 960.0], [542.0, 993.0], [484.0, 993.0]], ('.35', 0.951695442199707)], [[[572.0, 958.0], [636.0, 958.0], [636.0, 997.0], [572.0, 997.0]], ('BAL', 0.9982112050056458)], [[[739.0, 958.0], [838.0, 958.0], [838.0, 995.0], [739.0, 995.0]], ('13.10', 0.9944915771484375)], [[[294.0, 1003.0], [501.0, 1003.0], [501.0, 1038.0], [294.0, 1038.0]], ('PLASTIC BAG', 0.9721869826316833)], [[[759.0, 1003.0], [844.0, 1003.0], [844.0, 1042.0], [759.0, 1042.0]], ('.05', 0.9666263461112976)], [[[854.0, 1005.0], [881.0, 1005.0], [881.0, 1040.0], [854.0, 1040.0]], ('H', 0.9947572946548462)], [[[292.0, 1047.0], [464.0, 1047.0], [464.0, 1082.0], [292.0, 1082.0]], ('H-HST 13%', 0.9562815427780151)], [[[779.0, 1048.0], [841.0, 1048.0], [841.0, 1087.0], [779.0, 1087.0]], ('.36', 0.9517343044281006)], [[[287.0, 1087.0], [355.0, 1087.0], [355.0, 1132.0], [287.0, 1132.0]], ('TAX', 0.975313127040863)], [[[484.0, 1090.0], [639.0, 1090.0], [639.0, 1132.0], [484.0, 1132.0]], ('.36BAL', 0.9478592872619629)], [[[738.0, 1092.0], [843.0, 1092.0], [843.0, 1133.0], [738.0, 1133.0]], ('13.16', 0.9940661191940308)], [[[291.0, 1126.0], [373.0, 1133.0], [370.0, 1176.0], [287.0, 1169.0]], ('Cash', 0.9967027902603149)], [[[735.0, 1133.0], [843.0, 1137.0], [842.0, 1179.0], [734.0, 1175.0]], ('20.00', 0.9948312640190125)], [[[296.0, 1171.0], [408.0, 1179.0], [405.0, 1216.0], [293.0, 1208.0]], ('CHANGE', 0.9982081055641174)], [[[758.0, 1183.0], [843.0, 1183.0], [843.0, 1222.0], [758.0, 1222.0]], ('6.84', 0.9957923889160156)], [[[297.0, 1213.0], [605.0, 1229.0], [603.0, 1269.0], [295.0, 1253.0]], ('COUPONS TENDERED', 0.9798479080200195)], [[[627.0, 1230.0], [721.0, 1230.0], [721.0, 1267.0], [627.0, 1267.0]], ('.38', 0.9818293452262878)], [[[160.0, 1246.0], [747.0, 1276.0], [744.0, 1321.0], [158.0, 1291.0]], ('TOTAL NUMBER OF ITEMS SOLD =5', 0.9278307557106018)], [[[252.0, 1379.0], [763.0, 1414.0], [761.0, 1449.0], [250.0, 1414.0]], ('FOOD BASICS SQUEEZES PRICES', 0.9610466361045837)], [[[254.0, 1464.0], [783.0, 1501.0], [781.0, 1536.0], [251.0, 1499.0]], ('THANK YOU FOR SAVING WITH US', 0.9452509880065918)]]	{"store_name": "Basic$ food", "store_addr": "", "telephone": "STORE#630(905)270-2143", "date": "7/27/11", "time": "11:22AM", "subtotal": "", "tax": ".35 .36", "total": "13.16", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RITZCRACKER", "item_value": "2.26", "item_quantity": "1"}, {"item_key": "", "item_name": "FUDGEEOCOOK", "item_value": "2.26", "item_quantity": "1"}, {"item_key": "", "item_name": "ACTIVAYOGUR", "item_value": "5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PILLS.CRES.D", "item_value": "2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "PLASTICBAG", "item_value": ".05", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[171.0, 7.0], [240.0, 22.0], [238.0, 33.0], [168.0, 18.0]], ('3401 Klose #ay', 0.8378371000289917)], [[[175.0, 0.0], [281.0, 20.0], [278.0, 33.0], [172.0, 12.0]], ('Store#1714', 0.9409421682357788)], [[[147.0, 23.0], [250.0, 45.0], [247.0, 58.0], [144.0, 36.0]], ('Phone510758-5800', 0.9754598736763)], [[[158.0, 14.0], [247.0, 32.0], [244.0, 45.0], [155.0, 27.0]], ('RichondCA 94800', 0.8136595487594604)], [[[104.0, 37.0], [166.0, 49.0], [163.0, 62.0], [101.0, 50.0]], ('232 Terrance', 0.9485957622528076)], [[[96.0, 58.0], [137.0, 65.0], [135.0, 80.0], [93.0, 72.0]], ('Tb111/1', 0.7503575682640076)], [[[148.0, 81.0], [229.0, 98.0], [227.0, 112.0], [145.0, 95.0]], ('Dec3015 10:05PM', 0.8941046595573425)], [[[165.0, 73.0], [213.0, 83.0], [211.0, 96.0], [162.0, 86.0]], ('Chk8800', 0.9701728224754333)], [[[97.0, 95.0], [172.0, 111.0], [169.0, 123.0], [94.0, 108.0]], ('1Hot Chocolate', 0.9355221390724182)], [[[256.0, 93.0], [288.0, 98.0], [286.0, 112.0], [253.0, 107.0]], ('Gst 2', 0.8795211911201477)], [[[95.0, 107.0], [164.0, 121.0], [161.0, 134.0], [92.0, 120.0]], ('1Bfst Sampler', 0.9280213117599487)], [[[93.0, 119.0], [145.0, 129.0], [142.0, 143.0], [90.0, 133.0]], ('1Colorado', 0.9500204920768738)], [[[101.0, 133.0], [165.0, 145.0], [162.0, 159.0], [98.0, 147.0]], ('>1110137839', 0.9723039269447327)], [[[238.0, 124.0], [268.0, 129.0], [265.0, 144.0], [236.0, 139.0]], ('$3.59', 0.978654682636261)], [[[99.0, 144.0], [127.0, 150.0], [125.0, 162.0], [97.0, 156.0]], ('100', 0.9957625865936279)], [[[232.0, 136.0], [265.0, 142.0], [262.0, 156.0], [229.0, 149.0]], ('$11.29', 0.9910855293273926)], [[[96.0, 155.0], [146.0, 166.0], [144.0, 180.0], [93.0, 169.0]], ('Mgr Cop%', 0.8345898389816284)], [[[230.0, 147.0], [263.0, 154.0], [260.0, 168.0], [227.0, 161.0]], ('$13.29', 0.9926624298095703)], [[[75.0, 174.0], [137.0, 187.0], [134.0, 201.0], [72.0, 188.0]], ('10:33PNTotal', 0.8715320229530334)], [[[221.0, 182.0], [258.0, 188.0], [256.0, 202.0], [219.0, 197.0]], ('$28.17', 0.960506021976471)], [[[198.0, 202.0], [249.0, 211.0], [247.0, 225.0], [196.0, 216.0]], ('$0.00', 0.9871076345443726)], [[[83.0, 213.0], [228.0, 245.0], [225.0, 259.0], [80.0, 226.0]], ('To receive the latest news and', 0.9485469460487366)], [[[83.0, 226.0], [225.0, 256.0], [222.0, 270.0], [80.0, 240.0]], ('offers right to your cosputer', 0.9362727999687195)], [[[89.0, 239.0], [202.0, 263.0], [199.0, 277.0], [86.0, 253.0]], ('go to IHOP.co ad', 0.7539575099945068)], [[[82.0, 275.0], [194.0, 292.0], [192.0, 306.0], [79.0, 289.0]], ('PLEASE PAY YOUR SERVER', 0.9324113726615906)], [[[78.0, 288.0], [208.0, 304.0], [206.0, 318.0], [77.0, 302.0]], ('Por favor pague a su mesero', 0.8497191071510315)]]	{"store_name": "", "store_addr": "3401KloseMay", "telephone": "(510)758-5800", "date": "Dec30'15", "time": "10:33PM", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "HotChocolate", "item_value": "$3.59", "item_quantity": "1"}, {"item_key": "", "item_name": "BfstSampler", "item_value": "$11.29", "item_quantity": "1"}, {"item_key": "", "item_name": "Colorado", "item_value": "$13.29", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[3.0, 16.0], [141.0, 1.0], [143.0, 18.0], [5.0, 33.0]], ('930 SIR FRANCIS DRAKE', 0.9538163542747498)], [[[7.0, 34.0], [149.0, 19.0], [151.0, 36.0], [9.0, 51.0]], ('SAN ANSELMOCA 94960', 0.9451919198036194)], [[[79.0, 76.0], [224.0, 67.0], [225.0, 84.0], [80.0, 93.0]], ('08/17/201412:51:23PM', 0.9702073335647583)], [[[46.0, 95.0], [267.0, 82.0], [268.0, 99.0], [47.0, 112.0]], ('Register:2 Trans #1414 0p ID2', 0.9114448428153992)], [[[84.0, 109.0], [220.0, 101.0], [221.0, 117.0], [85.0, 126.0]], ('Your cashier:YOLANDA', 0.9284113645553589)], [[[83.0, 138.0], [229.0, 132.0], [230.0, 149.0], [83.0, 154.0]], ('PREPAID RECEIPT *', 0.9105404615402222)], [[[37.0, 169.0], [150.0, 165.0], [150.0, 182.0], [38.0, 186.0]], ('REGULAR CAPUMP#7', 0.9310293793678284)], [[[228.0, 163.0], [271.0, 163.0], [271.0, 178.0], [228.0, 178.0]], ('$40.00', 0.9946012496948242)], [[[287.0, 166.0], [295.0, 163.0], [299.0, 173.0], [290.0, 176.0]], ('N', 0.8167444467544556)], [[[149.0, 194.0], [235.0, 192.0], [235.0, 208.0], [150.0, 211.0]], ('Subtota1=', 0.9123337268829346)], [[[228.0, 193.0], [271.0, 193.0], [271.0, 208.0], [228.0, 208.0]], ('$40.00', 0.9936943650245667)], [[[182.0, 211.0], [219.0, 211.0], [219.0, 224.0], [182.0, 224.0]], ('Tax=', 0.9834270477294922)], [[[236.0, 209.0], [272.0, 209.0], [272.0, 223.0], [236.0, 223.0]], ('$0.00', 0.9986381530761719)], [[[172.0, 238.0], [273.0, 236.0], [273.0, 252.0], [172.0, 254.0]], ('Total=$40.00', 0.9439644813537598)], [[[144.0, 268.0], [222.0, 267.0], [223.0, 282.0], [144.0, 283.0]], ('Change Due=', 0.9487842917442322)], [[[240.0, 268.0], [275.0, 268.0], [275.0, 283.0], [240.0, 283.0]], ('$0.00', 0.9976404309272766)], [[[50.0, 299.0], [75.0, 299.0], [75.0, 313.0], [50.0, 313.0]], ('Cash', 0.9390261173248291)], [[[236.0, 299.0], [277.0, 299.0], [277.0, 313.0], [236.0, 313.0]], ('$40.00', 0.9977890849113464)]]	{"store_name": "", "store_addr": "930SIRFRANCISDRAKE SANANSELMO,CA94960", "telephone": "", "date": "08/17/2014", "time": "12:51:23PM", "subtotal": "$40.00", "tax": "$0.00", "total": "$40.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "REGULARCA", "item_value": "$40.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[91.0, 24.0], [212.0, 25.0], [211.0, 40.0], [91.0, 39.0]], ('NORDSTROM', 0.997344970703125)], [[[117.0, 40.0], [186.0, 43.0], [185.0, 57.0], [116.0, 55.0]], ('Mall of Anerica', 0.8494961857795715)], [[[102.0, 58.0], [122.0, 58.0], [122.0, 67.0], [102.0, 67.0]], ('Bloc', 0.7653657793998718)], [[[118.0, 59.0], [185.0, 59.0], [185.0, 74.0], [118.0, 74.0]], ('1280(256', 0.5797930359840393)], [[[56.0, 76.0], [102.0, 78.0], [102.0, 90.0], [55.0, 87.0]], ('Storez22', 0.8362408876419067)], [[[55.0, 86.0], [79.0, 89.0], [77.0, 101.0], [54.0, 99.0]], ('SALE', 0.9978815913200378)], [[[119.0, 78.0], [170.0, 78.0], [170.0, 90.0], [119.0, 90.0]], ('Reg4110', 0.9213270545005798)], [[[195.0, 78.0], [243.0, 78.0], [243.0, 90.0], [195.0, 90.0]], ('Tran#3429', 0.9266359806060791)], [[[98.0, 90.0], [176.0, 90.0], [176.0, 101.0], [98.0, 101.0]], ('Rng:Knasphian V.', 0.8371703624725342)], [[[56.0, 122.0], [111.0, 122.0], [111.0, 132.0], [56.0, 132.0]], ('888108778423', 0.9938506484031677)], [[[199.0, 117.0], [237.0, 120.0], [236.0, 135.0], [198.0, 132.0]], ('3500.00', 0.9903984665870667)], [[[51.0, 140.0], [143.0, 141.0], [143.0, 155.0], [51.0, 154.0]], ('SHIPPING&HANOLING', 0.9551012516021729)], [[[209.0, 139.0], [241.0, 142.0], [240.0, 157.0], [208.0, 154.0]], ('15.00N', 0.8955371975898743)], [[[50.0, 162.0], [142.0, 164.0], [142.0, 175.0], [50.0, 174.0]], ('SHIP 1SUSINESS DAY', 0.9132320880889893)], [[[52.0, 153.0], [80.0, 153.0], [80.0, 165.0], [52.0, 165.0]], ('07024', 0.9936769604682922)], [[[175.0, 162.0], [201.0, 165.0], [200.0, 177.0], [174.0, 175.0]], ('15.00', 0.995837390422821)], [[[49.0, 185.0], [91.0, 185.0], [91.0, 197.0], [49.0, 197.0]], ('SUBTOTAL', 0.9775513410568237)], [[[203.0, 185.0], [240.0, 185.0], [240.0, 197.0], [203.0, 197.0]], ('3515.00', 0.9837623238563538)], [[[48.0, 197.0], [95.0, 197.0], [95.0, 208.0], [48.0, 208.0]], ('SALES TAX', 0.9467370510101318)], [[[207.0, 197.0], [241.0, 197.0], [241.0, 208.0], [207.0, 208.0]], ('240.63', 0.9746260643005371)], [[[44.0, 215.0], [74.0, 218.0], [73.0, 234.0], [42.0, 231.0]], ('TOTAL', 0.9972019195556641)], [[[200.0, 217.0], [241.0, 217.0], [241.0, 231.0], [200.0, 231.0]], ('3755.63', 0.9923842549324036)], [[[43.0, 244.0], [172.0, 243.0], [172.0, 257.0], [43.0, 258.0]], ('Tota1 Items Purchased =1', 0.9068255424499512)], [[[39.0, 270.0], [64.0, 270.0], [64.0, 285.0], [39.0, 285.0]], ('VISA', 0.9982091188430786)], [[[112.0, 270.0], [178.0, 270.0], [178.0, 284.0], [112.0, 284.0]], ('0000000000-0', 0.982103168964386)], [[[209.0, 270.0], [250.0, 267.0], [251.0, 283.0], [210.0, 286.0]], ('3755.63', 0.9872693419456482)]]	{"store_name": "NORDSTROM", "store_addr": "", "telephone": "(952)083-2121", "date": "", "time": "", "subtotal": "3515.00", "tax": "240.63", "total": "3755.63 3755.63", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SHIPPING&HANDLING", "item_value": "15.00N", "item_quantity": "1"}, {"item_key": "", "item_name": "LUXDGNRH:FALENASMALLTOPHANOL", "item_value": "3500.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[415.0, 344.0], [494.0, 344.0], [494.0, 376.0], [415.0, 376.0]], ('SIZE?', 0.9962067604064941)], [[[495.0, 388.0], [618.0, 388.0], [618.0, 410.0], [495.0, 410.0]], ('LIVEAPOOLSIZE?', 0.9452058672904968)], [[[503.0, 410.0], [612.0, 410.0], [612.0, 426.0], [503.0, 426.0]], ('TEL:01517078813', 0.9500294327735901)], [[[501.0, 426.0], [619.0, 426.0], [619.0, 447.0], [501.0, 447.0]], ('VAT NO:797440102', 0.8952018022537231)], [[[415.0, 464.0], [641.0, 464.0], [641.0, 483.0], [415.0, 483.0]], ('DATE SAI FEB 1113:16:472017', 0.8914059400558472)], [[[417.0, 520.0], [714.0, 520.0], [714.0, 550.0], [417.0, 550.0]], ('RECEIPT:00226-1-13031', 0.9635549187660217)], [[[417.0, 568.0], [630.0, 568.0], [630.0, 588.0], [417.0, 588.0]], ('4058027657499YEEZY 350V2 BLK', 0.9545612335205078)], [[[423.0, 590.0], [512.0, 590.0], [512.0, 606.0], [423.0, 606.0]], ('1150.00', 0.9270465970039368)], [[[598.0, 590.0], [630.0, 590.0], [630.0, 608.0], [598.0, 608.0]], ('20', 0.9900968074798584)], [[[654.0, 588.0], [705.0, 588.0], [705.0, 609.0], [654.0, 609.0]], ('150.00', 0.9549005627632141)], [[[417.0, 604.0], [632.0, 606.0], [631.0, 627.0], [417.0, 625.0]], ('1630160007336 CARRIER BAG LEVY', 0.9531888961791992)], [[[420.0, 624.0], [513.0, 624.0], [513.0, 645.0], [420.0, 645.0]], ('100.05', 0.9485198855400085)], [[[603.0, 622.0], [631.0, 626.0], [627.0, 646.0], [600.0, 641.0]], ('20%', 0.8984599113464355)], [[[665.0, 624.0], [703.0, 624.0], [703.0, 646.0], [665.0, 646.0]], ('0.05', 0.9710450172424316)], [[[418.0, 664.0], [486.0, 664.0], [486.0, 693.0], [418.0, 693.0]], ('TOTAL', 0.9981672167778015)], [[[553.0, 662.0], [658.0, 662.0], [658.0, 693.0], [553.0, 693.0]], ('150.05', 0.9873338341712952)], [[[418.0, 704.0], [475.0, 704.0], [475.0, 724.0], [418.0, 724.0]], ('PAID BY', 0.891974151134491)], [[[419.0, 716.0], [451.0, 721.0], [449.0, 739.0], [416.0, 734.0]], ('CASH', 0.996346116065979)], [[[638.0, 717.0], [685.0, 717.0], [685.0, 739.0], [638.0, 739.0]], ('150.05', 0.9866840839385986)], [[[420.0, 754.0], [691.0, 754.0], [691.0, 774.0], [420.0, 774.0]], ('ASS8/7TILL00226/1TRANS13031V5.00', 0.9343830943107605)], [[[414.0, 859.0], [694.0, 864.0], [694.0, 885.0], [414.0, 880.0]], ('TELL US WHAT YOU THINK AND YOU COULD WIN', 0.9347122311592102)], [[[429.0, 879.0], [651.0, 881.0], [651.0, 902.0], [429.0, 900.0]], ('A 100 GIFT CARD PLEASE VISIT', 0.8919543623924255)], [[[460.0, 897.0], [627.0, 899.0], [627.0, 920.0], [460.0, 918.0]], ('WWW.SIZE FEEDBACK.CO.UK', 0.9149742126464844)], [[[445.0, 931.0], [645.0, 935.0], [645.0, 956.0], [444.0, 952.0]], ('WHY NOT VISIT OUR WEBSITE AT', 0.9263492822647095)], [[[507.0, 952.0], [587.0, 952.0], [587.0, 974.0], [507.0, 974.0]], ('SIZE.CO.UK', 0.9543663859367371)], [[[417.0, 1005.0], [670.0, 1010.0], [670.0, 1031.0], [417.0, 1026.0]], ('PLEASE RETAIN THIS RECEIPT CAREFULLY', 0.9589356184005737)], [[[409.0, 1044.0], [467.0, 1044.0], [467.0, 1065.0], [409.0, 1065.0]], ('NO REFUNDS', 0.9495676159858704)], [[[408.0, 1063.0], [704.0, 1067.0], [703.0, 1088.0], [408.0, 1084.0]], ('size is happy to exchange any erchandise returned in', 0.9203602075576782)], [[[408.0, 1080.0], [687.0, 1086.0], [686.0, 1107.0], [408.0, 1101.0]], ('an unused and resalable condition sithn 28 days.of', 0.9140562415122986)], [[[408.0, 1099.0], [676.0, 1104.0], [676.0, 1125.0], [408.0, 1120.0]], ('purchase upon production of a valid receipt. Your', 0.9209458231925964)], [[[408.0, 1119.0], [593.0, 1122.0], [593.0, 1143.0], [408.0, 1140.0]], ('statutory rights are not affected.', 0.9552794098854065)], [[[413.0, 1156.0], [604.0, 1160.0], [604.0, 1181.0], [412.0, 1177.0]], ('le old electricals locally FREE', 0.8652012944221497)], [[[416.0, 1173.0], [606.0, 1179.0], [605.0, 1205.0], [415.0, 1198.0]], ('r at .receleore.co.k', 0.6362670063972473)], [[[469.0, 1218.0], [607.0, 1218.0], [607.0, 1238.0], [469.0, 1238.0]], ('Pilsworth BuryBL9 8R', 0.8665746450424194)]]	{"store_name": "SIZE?", "store_addr": "LIVERPOOL(SIZE?)", "telephone": "01517078813", "date": "SATFEB11", "time": "13:16:47", "subtotal": "", "tax": "", "total": "\u00a3150.05", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "4058027657499YEEZY350V2BLK", "item_value": "150.00", "item_quantity": "1"}, {"item_key": "", "item_name": "1630160007336CARRIERBAGLEVY", "item_value": "0.05", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[130.0, 52.0], [177.0, 52.0], [177.0, 88.0], [130.0, 88.0]], ('W', 0.8292972445487976)], [[[57.0, 135.0], [247.0, 136.0], [247.0, 153.0], [57.0, 152.0]], ('Woolworths Cafe', 0.970190703868866)], [[[107.0, 152.0], [209.0, 152.0], [209.0, 166.0], [107.0, 166.0]], ('Rosebank', 0.9981992840766907)], [[[104.0, 164.0], [210.0, 164.0], [210.0, 177.0], [104.0, 177.0]], ('Tel011252 3272', 0.9324354529380798)], [[[103.0, 177.0], [216.0, 177.0], [216.0, 191.0], [103.0, 191.0]], ('VAT #4400 193977', 0.9393988847732544)], [[[37.0, 197.0], [106.0, 199.0], [105.0, 216.0], [36.0, 214.0]], ('7 Precious', 0.9192392230033875)], [[[32.0, 223.0], [86.0, 223.0], [86.0, 241.0], [32.0, 241.0]], ('Tb132/1', 0.9884876012802124)], [[[132.0, 223.0], [187.0, 223.0], [187.0, 240.0], [132.0, 240.0]], ('Chk2372', 0.9941835403442383)], [[[241.0, 223.0], [285.0, 223.0], [285.0, 241.0], [241.0, 241.0]], ('Gst 2', 0.8435099720954895)], [[[115.0, 237.0], [204.0, 237.0], [204.0, 251.0], [115.0, 251.0]], ("260ct'16 12:45", 0.910006582736969)], [[[58.0, 263.0], [134.0, 262.0], [134.0, 277.0], [58.0, 278.0]], ('Eat In', 0.9343884587287903)], [[[44.0, 277.0], [111.0, 277.0], [111.0, 291.0], [44.0, 291.0]], ('1 Beef Brg', 0.9248658418655396)], [[[231.0, 274.0], [266.0, 274.0], [266.0, 289.0], [231.0, 289.0]], ('80.00', 0.9961298108100891)], [[[44.0, 289.0], [116.0, 289.0], [116.0, 303.0], [44.0, 303.0]], ('1 Med Plate', 0.9179581999778748)], [[[232.0, 287.0], [266.0, 287.0], [266.0, 302.0], [232.0, 302.0]], ('75.00', 0.9938626289367676)], [[[43.0, 302.0], [184.0, 300.0], [184.0, 314.0], [43.0, 316.0]], ('2 Sprite 330m1 19.00', 0.8943161964416504)], [[[232.0, 300.0], [266.0, 300.0], [266.0, 314.0], [232.0, 314.0]], ('38.00', 0.9944033622741699)], [[[43.0, 315.0], [130.0, 314.0], [131.0, 329.0], [43.0, 331.0]], ('1 Ex Chi1lies', 0.8881849646568298)], [[[235.0, 313.0], [266.0, 313.0], [266.0, 327.0], [235.0, 327.0]], ('8.00', 0.9952069520950317)], [[[46.0, 331.0], [59.0, 331.0], [59.0, 340.0], [46.0, 340.0]], ('1', 0.6934473514556885)], [[[55.0, 328.0], [160.0, 328.0], [160.0, 343.0], [55.0, 343.0]], ('Sti11 Water500m1', 0.9169689416885376)], [[[233.0, 325.0], [266.0, 325.0], [266.0, 341.0], [233.0, 341.0]], ('14.00', 0.9957237243652344)], [[[41.0, 341.0], [185.0, 338.0], [185.0, 356.0], [41.0, 358.0]], ('2 Espresso Db1 20.00', 0.9215229749679565)], [[[233.0, 339.0], [266.0, 339.0], [266.0, 354.0], [233.0, 354.0]], ('40.00', 0.9949342012405396)], [[[32.0, 365.0], [103.0, 365.0], [103.0, 382.0], [32.0, 382.0]], ('13:18 Tota', 0.9404351115226746)], [[[189.0, 363.0], [266.0, 359.0], [266.0, 376.0], [190.0, 380.0]], ('255.00', 0.9981338977813721)], [[[54.0, 390.0], [109.0, 390.0], [109.0, 407.0], [54.0, 407.0]], ('Gratuity', 0.9937487244606018)], [[[54.0, 417.0], [91.0, 417.0], [91.0, 435.0], [54.0, 435.0]], ('Total', 0.9894099235534668)]]	{"store_name": "WoolworthsCafe", "store_addr": "Rosebank", "telephone": "0112523272", "date": "26Oct'16", "time": "13:18", "subtotal": "", "tax": "", "total": "255.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BeefBrg", "item_value": "80.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MedPlate", "item_value": "75.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sprite330ml", "item_value": "38.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ExChillies", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "StillWater500ml", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EspressoDbl", "item_value": "40.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[209.0, 7.0], [279.0, 3.0], [280.0, 16.0], [210.0, 21.0]], ('Drder#450876', 0.9474748969078064)], [[[214.0, 19.0], [278.0, 16.0], [279.0, 30.0], [215.0, 32.0]], ('Eat In Drder', 0.8795323967933655)], [[[214.0, 31.0], [279.0, 29.0], [280.0, 43.0], [215.0, 45.0]], ('Seat Count=5', 0.9551501870155334)], [[[205.0, 45.0], [280.0, 41.0], [281.0, 56.0], [206.0, 60.0]], ('Server:Lor1 R', 0.8709707260131836)], [[[206.0, 57.0], [280.0, 55.0], [281.0, 68.0], [207.0, 71.0]], ('Table:Table 2', 0.9012765884399414)], [[[167.0, 72.0], [279.0, 66.0], [280.0, 80.0], [167.0, 85.0]], ('Date:2/19/186:10PH', 0.9099870324134827)], [[[73.0, 98.0], [101.0, 100.0], [100.0, 111.0], [72.0, 108.0]], ('frles', 0.9760302305221558)], [[[250.0, 92.0], [281.0, 90.0], [282.0, 104.0], [252.0, 107.0]], ('$6.00', 0.944709300994873)], [[[74.0, 112.0], [116.0, 112.0], [116.0, 122.0], [74.0, 122.0]], ('Tenonade', 0.9856837391853333)], [[[252.0, 104.0], [282.0, 104.0], [282.0, 118.0], [252.0, 118.0]], ('$3.50', 0.9926996231079102)], [[[72.0, 121.0], [149.0, 120.0], [149.0, 134.0], [73.0, 135.0]], ('brusseI sprouts', 0.9245955348014832)], [[[252.0, 117.0], [281.0, 117.0], [281.0, 131.0], [252.0, 131.0]], ('$7.25', 0.9872938990592957)], [[[72.0, 133.0], [186.0, 131.0], [186.0, 145.0], [73.0, 147.0]], ('Refuge Blood orange wit', 0.9109075665473938)], [[[252.0, 129.0], [282.0, 129.0], [282.0, 143.0], [252.0, 143.0]], ('$7.00', 0.9924548268318176)], [[[72.0, 145.0], [169.0, 144.0], [169.0, 158.0], [73.0, 159.0]], ('Stone Tangerine IPA', 0.9680209755897522)], [[[252.0, 142.0], [282.0, 142.0], [282.0, 156.0], [252.0, 156.0]], ('$8.00', 0.9800125956535339)], [[[73.0, 158.0], [177.0, 156.0], [177.0, 168.0], [74.0, 170.0]], ('Sog City Li1 Bo Pis', 0.8350071907043457)], [[[252.0, 154.0], [283.0, 154.0], [283.0, 167.0], [252.0, 167.0]], ('$7.00', 0.993883490562439)], [[[74.0, 170.0], [144.0, 170.0], [144.0, 181.0], [74.0, 181.0]], ('grilled cheese', 0.9383730292320251)], [[[250.0, 167.0], [282.0, 164.0], [283.0, 178.0], [251.0, 181.0]], ('$8.00', 0.9538207054138184)], [[[74.0, 182.0], [143.0, 182.0], [143.0, 193.0], [74.0, 193.0]], ('1-avocado taco', 0.9535537362098694)], [[[252.0, 178.0], [283.0, 178.0], [283.0, 192.0], [252.0, 192.0]], ('057$', 0.7384111881256104)], [[[70.0, 191.0], [114.0, 193.0], [113.0, 207.0], [69.0, 204.0]], ('taquitos', 0.9087663888931274)], [[[253.0, 190.0], [283.0, 190.0], [283.0, 205.0], [253.0, 205.0]], ('$8.25', 0.9865514636039734)], [[[71.0, 204.0], [119.0, 207.0], [118.0, 218.0], [70.0, 215.0]], ('Enchilades', 0.8197498321533203)], [[[249.0, 203.0], [282.0, 203.0], [282.0, 216.0], [249.0, 216.0]], ('$1500', 0.968083381652832)], [[[67.0, 243.0], [104.0, 243.0], [104.0, 253.0], [67.0, 253.0]], ('chaffle', 0.9764701724052429)], [[[249.0, 241.0], [283.0, 241.0], [283.0, 255.0], [249.0, 255.0]], ('$10.00', 0.9953889846801758)], [[[64.0, 264.0], [113.0, 268.0], [112.0, 282.0], [63.0, 279.0]], ('Subtotal:', 0.972676694393158)], [[[242.0, 267.0], [285.0, 267.0], [285.0, 282.0], [242.0, 282.0]], ('$108.50', 0.9445640444755554)], [[[63.0, 278.0], [116.0, 280.0], [115.0, 295.0], [62.0, 293.0]], ('Total Tax:', 0.7990103960037231)], [[[253.0, 281.0], [285.0, 281.0], [285.0, 296.0], [253.0, 296.0]], ('$7.87', 0.9942569732666016)], [[[61.0, 306.0], [95.0, 306.0], [95.0, 320.0], [61.0, 320.0]], ('Total:', 0.9765605926513672)], [[[242.0, 309.0], [285.0, 309.0], [285.0, 324.0], [242.0, 324.0]], ('$116.37', 0.9978214502334595)], [[[59.0, 332.0], [151.0, 335.0], [151.0, 349.0], [58.0, 345.0]], ('Order Balance due', 0.9205976724624634)], [[[243.0, 338.0], [286.0, 338.0], [286.0, 352.0], [243.0, 352.0]], ('$116.37', 0.9872995615005493)], [[[119.0, 362.0], [223.0, 366.0], [222.0, 380.0], [119.0, 376.0]], ('Join us for BRUNCH', 0.9043048024177551)], [[[112.0, 377.0], [230.0, 382.0], [229.0, 396.0], [111.0, 390.0]], ("Saturday's & Sunday's", 0.9229625463485718)], [[[128.0, 391.0], [207.0, 396.0], [206.0, 410.0], [128.0, 405.0]], ('10:00am-2:00pm', 0.9100684523582458)], [[[36.0, 452.0], [284.0, 451.0], [284.0, 465.0], [36.0, 466.0]], ('www.shutterstock.com.1053419630', 0.981494665145874)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "2/19/18,", "time": "6:10PM", "subtotal": "$108.50", "tax": "$7.87", "total": "$116,37 $116.37", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "chaffle", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Enchiladas", "item_value": "$10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Iavocadotaco", "item_value": "$14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "grilledcheese", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SmogCityLilBoPils", "item_value": "$8.25", "item_quantity": "1"}, {"item_key": "", "item_name": "StoneTangerineIPA", "item_value": "$4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ReiugeBloodorangewit", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "brusselsprouts", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "frles", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$7.25", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$3.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$6.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[120.0, 15.0], [221.0, 18.0], [220.0, 63.0], [118.0, 61.0]], ('FARMACIA', 0.9862356185913086)], [[[58.0, 68.0], [101.0, 68.0], [101.0, 93.0], [58.0, 93.0]], ('VIA', 0.9455603957176208)], [[[109.0, 96.0], [239.0, 96.0], [239.0, 120.0], [109.0, 120.0]], ("PARTITA I'JA", 0.9035571217536926)], [[[133.0, 123.0], [227.0, 123.0], [227.0, 146.0], [133.0, 146.0]], ('TELEFONID', 0.945441484451294)], [[[61.0, 171.0], [170.0, 174.0], [170.0, 197.0], [60.0, 195.0]], ('OPERATORE', 0.9932628273963928)], [[[185.0, 176.0], [204.0, 176.0], [204.0, 197.0], [185.0, 197.0]], ('3', 0.9948273301124573)], [[[58.0, 198.0], [145.0, 201.0], [145.0, 225.0], [57.0, 222.0]], ('FARMACO', 0.9952313303947449)], [[[377.0, 202.0], [441.0, 202.0], [441.0, 229.0], [377.0, 229.0]], ('11.69', 0.9043886065483093)], [[[60.0, 225.0], [148.0, 227.0], [148.0, 247.0], [59.0, 245.0]], ('NUMERO', 0.996574878692627)], [[[154.0, 233.0], [175.0, 224.0], [184.0, 244.0], [163.0, 254.0]], ('#', 0.99616938829422)], [[[58.0, 249.0], [157.0, 252.0], [157.0, 276.0], [57.0, 273.0]], ('SC.(ART', 0.9231424927711487)], [[[377.0, 251.0], [441.0, 254.0], [440.0, 282.0], [375.0, 279.0]], ('-0,14', 0.8559499979019165)], [[[58.0, 278.0], [145.0, 278.0], [145.0, 301.0], [58.0, 301.0]], ('FARMACO', 0.9968977570533752)], [[[388.0, 281.0], [439.0, 281.0], [439.0, 307.0], [388.0, 307.0]], ('4.28', 0.9154617786407471)], [[[61.0, 295.0], [182.0, 304.0], [180.0, 331.0], [59.0, 322.0]], ('NUMERO#', 0.9469571709632874)], [[[58.0, 328.0], [156.0, 330.0], [156.0, 353.0], [57.0, 351.0]], ('SC.ART', 0.890530526638031)], [[[377.0, 333.0], [438.0, 333.0], [438.0, 358.0], [377.0, 358.0]], ('-0,03', 0.8788286447525024)], [[[58.0, 355.0], [190.0, 355.0], [190.0, 379.0], [58.0, 379.0]], ('PARAFARMACO', 0.9963817596435547)], [[[386.0, 359.0], [438.0, 359.0], [438.0, 384.0], [386.0, 384.0]], ('5.90', 0.9693495631217957)], [[[60.0, 381.0], [181.0, 381.0], [181.0, 407.0], [60.0, 407.0]], ('NUMERO#', 0.9566865563392639)], [[[63.0, 411.0], [223.0, 411.0], [223.0, 430.0], [63.0, 430.0]], ('CODICE FISCALE', 0.9693701863288879)], [[[214.0, 411.0], [261.0, 411.0], [261.0, 432.0], [214.0, 432.0]], ('#', 0.6652368903160095)], [[[58.0, 433.0], [248.0, 436.0], [248.0, 459.0], [58.0, 455.0]], ('TOT.SCONTI017#', 0.8829033970832825)], [[[261.0, 465.0], [282.0, 465.0], [282.0, 484.0], [261.0, 484.0]], ('-#', 0.8919171690940857)], [[[62.0, 483.0], [99.0, 483.0], [99.0, 510.0], [62.0, 510.0]], ('#', 0.7519086599349976)], [[[56.0, 510.0], [200.0, 514.0], [200.0, 537.0], [56.0, 534.0]], ('IMPORTI PER#', 0.9229640364646912)], [[[54.0, 538.0], [257.0, 542.0], [257.0, 565.0], [54.0, 561.0]], ('LA DICHI ARAZIONE#', 0.8959314823150635)], [[[55.0, 565.0], [200.0, 567.0], [200.0, 590.0], [55.0, 588.0]], ('DEI REDDITI#', 0.9409494400024414)], [[[265.0, 595.0], [282.0, 595.0], [282.0, 617.0], [265.0, 617.0]], ('#', 0.9949722290039062)], [[[53.0, 615.0], [142.0, 618.0], [141.0, 642.0], [53.0, 640.0]], ('FARMACO', 0.9954147934913635)], [[[208.0, 615.0], [284.0, 618.0], [283.0, 646.0], [207.0, 643.0]], ('15.80#', 0.8925866484642029)], [[[54.0, 643.0], [188.0, 646.0], [188.0, 669.0], [54.0, 666.0]], ('PARAFARMACO', 0.9953065514564514)], [[[216.0, 642.0], [283.0, 645.0], [282.0, 672.0], [215.0, 670.0]], ('5,90#', 0.7785657644271851)], [[[255.0, 676.0], [280.0, 672.0], [283.0, 694.0], [258.0, 697.0]], ('#', 0.9936493039131165)], [[[53.0, 693.0], [104.0, 693.0], [104.0, 722.0], [53.0, 722.0]], ('TOT.', 0.9823192358016968)], [[[205.0, 694.0], [283.0, 698.0], [281.0, 727.0], [204.0, 723.0]], ('21.70#', 0.9043674468994141)], [[[52.0, 722.0], [98.0, 722.0], [98.0, 749.0], [52.0, 749.0]], ('#', 0.79842209815979)], [[[53.0, 760.0], [130.0, 760.0], [130.0, 807.0], [53.0, 807.0]], ('TOTALE', 0.9350962042808533)], [[[368.0, 763.0], [437.0, 763.0], [437.0, 812.0], [368.0, 812.0]], ('21,70', 0.9096388816833496)], [[[53.0, 835.0], [420.0, 841.0], [419.0, 859.0], [53.0, 854.0]], ('********', 0.6955475211143494)], [[[111.0, 864.0], [361.0, 864.0], [361.0, 886.0], [111.0, 886.0]], ('C.FCODICEFISCALE', 0.9770002365112305)], [[[53.0, 887.0], [421.0, 893.0], [421.0, 911.0], [53.0, 906.0]], ('**********', 0.742021381855011)], [[[52.0, 939.0], [136.0, 939.0], [136.0, 962.0], [52.0, 962.0]], ('N.PE.ZZI', 0.9120761156082153)], [[[167.0, 939.0], [186.0, 939.0], [186.0, 962.0], [167.0, 962.0]], ('3', 0.9931374788284302)], [[[333.0, 939.0], [406.0, 943.0], [404.0, 972.0], [331.0, 967.0]], ('CASS.', 0.9831612706184387)], [[[393.0, 942.0], [432.0, 942.0], [432.0, 969.0], [393.0, 969.0]], ('1', 0.8948537707328796)], [[[53.0, 966.0], [158.0, 966.0], [158.0, 989.0], [53.0, 989.0]], ('04-05-20', 0.9832049012184143)], [[[179.0, 967.0], [243.0, 967.0], [243.0, 991.0], [179.0, 991.0]], ('08-46', 0.9910842180252075)], [[[298.0, 966.0], [376.0, 969.0], [375.0, 993.0], [297.0, 991.0]], ('SCONTR', 0.9964531064033508)], [[[402.0, 970.0], [432.0, 970.0], [432.0, 994.0], [402.0, 994.0]], ('22', 0.9988956451416016)], [[[147.0, 1013.0], [230.0, 1013.0], [230.0, 1041.0], [147.0, 1041.0]], ('FRC', 0.8364076614379883)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "21.70 21,70#", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PARAFARMACO", "item_value": "5,90#", "item_quantity": "1"}, {"item_key": "", "item_name": "FARMACO", "item_value": "15,80#", "item_quantity": "1"}, {"item_key": "", "item_name": "PARAFARMACO", "item_value": "11,69", "item_quantity": "1"}, {"item_key": "", "item_name": "FARMACO", "item_value": "4,28", "item_quantity": "1"}, {"item_key": "", "item_name": "FARMACO", "item_value": "5,90", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[69.0, 47.0], [206.0, 30.0], [209.0, 62.0], [73.0, 79.0]], ('maito', 0.8741008043289185)], [[[101.0, 88.0], [163.0, 79.0], [165.0, 93.0], [103.0, 102.0]], ('Maito S.r.1.', 0.8483588695526123)], [[[63.0, 110.0], [210.0, 91.0], [212.0, 105.0], [65.0, 124.0]], ('55042-Forte dei Harmi LU)', 0.8244897723197937)], [[[86.0, 116.0], [180.0, 105.0], [181.0, 119.0], [87.0, 130.0]], ('P.1UA0452320466', 0.8730125427246094)], [[[97.0, 124.0], [175.0, 115.0], [176.0, 129.0], [98.0, 138.0]], ('TEL058480940', 0.9722128510475159)], [[[211.0, 130.0], [238.0, 130.0], [238.0, 143.0], [211.0, 143.0]], ('EURO', 0.9419984817504883)], [[[43.0, 154.0], [88.0, 150.0], [89.0, 164.0], [44.0, 168.0]], ('2X5.00', 0.9133380055427551)], [[[206.0, 151.0], [239.0, 147.0], [241.0, 161.0], [207.0, 165.0]], ('10.00', 0.9824350476264954)], [[[43.0, 165.0], [85.0, 163.0], [86.0, 174.0], [44.0, 176.0]], ('COPERTO', 0.9564780592918396)], [[[43.0, 175.0], [94.0, 172.0], [94.0, 183.0], [44.0, 186.0]], ('2X30.00', 0.9450873732566833)], [[[206.0, 171.0], [240.0, 168.0], [241.0, 182.0], [207.0, 185.0]], ('60.00', 0.9769529104232788)], [[[42.0, 183.0], [166.0, 174.0], [166.0, 189.0], [43.0, 197.0]], ('ANTIPASTI HISTI DI MARE', 0.7993480563163757)], [[[43.0, 192.0], [92.0, 189.0], [92.0, 203.0], [44.0, 206.0]], ('1X25.00', 0.9344384074211121)], [[[208.0, 191.0], [242.0, 191.0], [242.0, 205.0], [208.0, 205.0]], ('25.00', 0.9315970540046692)], [[[41.0, 201.0], [91.0, 199.0], [91.0, 213.0], [42.0, 215.0]], ('DRTO MARE', 0.873032808303833)], [[[40.0, 212.0], [95.0, 209.0], [95.0, 222.0], [41.0, 225.0]], ('2X22.00', 0.9109044671058655)], [[[210.0, 211.0], [244.0, 211.0], [244.0, 225.0], [210.0, 225.0]], ('44.00', 0.9609889984130859)], [[[39.0, 221.0], [113.0, 218.0], [114.0, 232.0], [40.0, 235.0]], ('FRITTO TOTRNL', 0.8622559309005737)], [[[40.0, 232.0], [87.0, 232.0], [87.0, 243.0], [40.0, 243.0]], ('FOOD', 0.8865895867347717)], [[[170.0, 224.0], [208.0, 222.0], [209.0, 236.0], [170.0, 238.0]], ('139.00', 0.9852824211120605)], [[[39.0, 241.0], [90.0, 240.0], [90.0, 251.0], [39.0, 252.0]], ('1X30.00', 0.9028604626655579)], [[[36.0, 251.0], [151.0, 247.0], [152.0, 260.0], [37.0, 264.0]], ('PINOT GRIGIO JERHANN', 0.8753268122673035)], [[[211.0, 243.0], [246.0, 243.0], [246.0, 257.0], [211.0, 257.0]], ('30.00', 0.9656980633735657)], [[[36.0, 271.0], [111.0, 269.0], [112.0, 282.0], [37.0, 284.0]], ('ACQUA GASSATA', 0.9237657785415649)], [[[37.0, 262.0], [84.0, 260.0], [85.0, 271.0], [38.0, 273.0]], ('1X4.00', 0.9203281402587891)], [[[218.0, 264.0], [247.0, 264.0], [247.0, 278.0], [218.0, 278.0]], ('4.00', 0.9917518496513367)], [[[36.0, 281.0], [84.0, 281.0], [84.0, 292.0], [36.0, 292.0]], ('1X4.00', 0.931968629360199)], [[[33.0, 292.0], [116.0, 289.0], [116.0, 303.0], [34.0, 307.0]], ('ACQUA NATURALE', 0.8813638687133789)], [[[218.0, 287.0], [248.0, 287.0], [248.0, 301.0], [218.0, 301.0]], ('4.00', 0.9924212694168091)], [[[34.0, 303.0], [116.0, 303.0], [116.0, 316.0], [34.0, 316.0]], ('CANTINA', 0.995294451713562)], [[[178.0, 299.0], [212.0, 299.0], [212.0, 313.0], [178.0, 313.0]], ('38.00', 0.9440988302230835)], [[[32.0, 315.0], [89.0, 312.0], [89.0, 326.0], [33.0, 329.0]], ('TAU73', 0.9806772470474243)], [[[30.0, 327.0], [83.0, 324.0], [84.0, 346.0], [31.0, 349.0]], ('TOTALE ', 0.9625399708747864)], [[[209.0, 322.0], [251.0, 322.0], [251.0, 346.0], [209.0, 346.0]], ('177.00', 0.925163984298706)], [[[32.0, 347.0], [80.0, 347.0], [80.0, 361.0], [32.0, 361.0]], ('CONTANTE', 0.9965146780014038)], [[[29.0, 370.0], [133.0, 370.0], [133.0, 384.0], [29.0, 384.0]], ('REG.O01 OPER.1', 0.8475661873817444)], [[[31.0, 383.0], [128.0, 383.0], [128.0, 396.0], [31.0, 396.0]], ('10-04-201615:57', 0.9718704223632812)], [[[29.0, 396.0], [171.0, 396.0], [171.0, 409.0], [29.0, 409.0]], ('SCONTRINO FISCALE N.24', 0.9633541703224182)], [[[93.0, 421.0], [189.0, 421.0], [189.0, 434.0], [93.0, 434.0]], ('F TV45405082', 0.9099616408348083)]]	{"store_name": "maito MaitoS.r.l.", "store_addr": "ViaArenile28 55042 FortedeiHarmi(LU)", "telephone": "058480940", "date": "10-04-2016", "time": "15:57", "subtotal": "", "tax": "", "total": "177,00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ANTIPASTIMISTIDIMARE", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DRTOMARE", "item_value": "60.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FRITTOTOTANI", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PINOTGRIGIOJERMANN", "item_value": "44.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ACQUAGASSATA", "item_value": "30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ACQUANATURALE", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[96.0, 51.0], [232.0, 53.0], [232.0, 73.0], [96.0, 71.0]], ('STARBUCKS Store #14054', 0.9375723004341125)], [[[100.0, 67.0], [220.0, 70.0], [220.0, 89.0], [100.0, 85.0]], ('6768 W.95th Street', 0.9187161326408386)], [[[131.0, 112.0], [195.0, 115.0], [195.0, 132.0], [130.0, 129.0]], ('CHK693628', 0.9919866919517517)], [[[100.0, 125.0], [221.0, 129.0], [221.0, 147.0], [100.0, 144.0]], ('01/30/201702:58PM', 0.9686053991317749)], [[[76.0, 139.0], [141.0, 144.0], [141.0, 158.0], [76.0, 153.0]], ('2295801', 0.9871113896369934)], [[[134.0, 144.0], [243.0, 144.0], [243.0, 158.0], [134.0, 158.0]], ('Drawer2Reg3', 0.9945639967918396)], [[[99.0, 171.0], [225.0, 174.0], [224.0, 191.0], [99.0, 188.0]], ('Drive Thru', 0.9601434469223022)], [[[54.0, 185.0], [170.0, 190.0], [170.0, 205.0], [54.0, 200.0]], ('Gr Carm1 Macchiato', 0.9255750179290771)], [[[229.0, 190.0], [256.0, 190.0], [256.0, 205.0], [229.0, 205.0]], ('4.65', 0.9965863823890686)], [[[67.0, 202.0], [103.0, 202.0], [103.0, 217.0], [67.0, 217.0]], ('Decaf', 0.9661198854446411)], [[[52.0, 215.0], [109.0, 217.0], [108.0, 233.0], [52.0, 231.0]], ('Gr Latte', 0.9385599493980408)], [[[228.0, 219.0], [256.0, 219.0], [256.0, 234.0], [228.0, 234.0]], ('3.95', 0.9937812685966492)], [[[66.0, 234.0], [120.0, 234.0], [120.0, 248.0], [66.0, 248.0]], ('Hazelnut', 0.991403341293335)], [[[229.0, 235.0], [257.0, 235.0], [257.0, 250.0], [229.0, 250.0]], ('0.50', 0.9971519708633423)], [[[51.0, 247.0], [164.0, 249.0], [164.0, 266.0], [51.0, 264.0]], ('T1 Chai Tea Latte', 0.9105825424194336)], [[[228.0, 250.0], [257.0, 250.0], [257.0, 265.0], [228.0, 265.0]], ('3.45', 0.9940272569656372)], [[[52.0, 265.0], [82.0, 265.0], [82.0, 280.0], [52.0, 280.0]], ('Visa', 0.996999204158783)], [[[223.0, 264.0], [259.0, 266.0], [258.0, 282.0], [222.0, 279.0]], ('13.77', 0.9952130317687988)], [[[51.0, 281.0], [130.0, 281.0], [130.0, 295.0], [51.0, 295.0]], ('XXXXXXXXXXX', 0.7799856662750244)], [[[50.0, 313.0], [106.0, 313.0], [106.0, 330.0], [50.0, 330.0]], ('Subtotal', 0.9954181909561157)], [[[230.0, 313.0], [271.0, 313.0], [271.0, 328.0], [230.0, 328.0]], ('$12.55', 0.9949938654899597)], [[[49.0, 330.0], [112.0, 330.0], [112.0, 348.0], [49.0, 348.0]], ('Tax 9.75%', 0.9340808391571045)], [[[235.0, 327.0], [273.0, 327.0], [273.0, 347.0], [235.0, 347.0]], ('$1.22', 0.9944052696228027)], [[[50.0, 349.0], [84.0, 349.0], [84.0, 364.0], [50.0, 364.0]], ('Total', 0.9906209111213684)], [[[230.0, 346.0], [272.0, 346.0], [272.0, 361.0], [230.0, 361.0]], ('$13.77', 0.9977996945381165)], [[[26.0, 366.0], [162.0, 361.0], [162.0, 379.0], [26.0, 383.0]], ('Change Due', 0.9591370820999146)], [[[227.0, 363.0], [291.0, 363.0], [291.0, 377.0], [227.0, 377.0]], ('$0.00', 0.9857107996940613)], [[[106.0, 396.0], [191.0, 393.0], [191.0, 410.0], [107.0, 413.0]], ('Check Closed', 0.9511173367500305)], [[[94.0, 413.0], [222.0, 409.0], [223.0, 426.0], [94.0, 430.0]], ('01/30/2017 02:58 PM', 0.9356165528297424)]]	{"store_name": "STARBUCKSStore#14054", "store_addr": "6768W.95thStreet OakLawn,IL", "telephone": "(708)430-8903", "date": "01/30/2017 01/30/2017", "time": "02:58PM 02:58PM", "subtotal": "$12.55", "tax": "$1.22", "total": "$13.77", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "GrCarmlMacchiato", "item_value": "4.65", "item_quantity": "1"}, {"item_key": "", "item_name": "Decaf", "item_value": "3.95", "item_quantity": "1"}, {"item_key": "", "item_name": "GrLatte", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Hazelnut", "item_value": "3.45", "item_quantity": "1"}, {"item_key": "", "item_name": "TlChaiTeaLatte", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[570.0, 294.0], [681.0, 290.0], [682.0, 319.0], [571.0, 323.0]], ('WELCOME', 0.9971286654472351)], [[[542.0, 324.0], [738.0, 312.0], [740.0, 341.0], [544.0, 352.0]], ('SALES RECEIPT', 0.9758303165435791)], [[[512.0, 351.0], [707.0, 340.0], [708.0, 365.0], [514.0, 376.0]], ('57444584601', 0.9962508678436279)], [[[479.0, 507.0], [785.0, 494.0], [786.0, 523.0], [481.0, 536.0]], ('DATE06/04/135:24PM', 0.9583658576011658)], [[[483.0, 536.0], [709.0, 528.0], [710.0, 556.0], [484.0, 563.0]], ('INVOICE#538587', 0.9454395174980164)], [[[480.0, 563.0], [710.0, 556.0], [711.0, 586.0], [481.0, 594.0]], ('AUTH178866', 0.9929412007331848)], [[[511.0, 590.0], [667.0, 586.0], [668.0, 617.0], [512.0, 621.0]], ('SHELL GIFT', 0.9554444551467896)], [[[497.0, 621.0], [714.0, 615.0], [715.0, 644.0], [498.0, 650.0]], ('ACCOUNT NUMBER', 0.9617832899093628)], [[[483.0, 651.0], [773.0, 642.0], [774.0, 671.0], [484.0, 680.0]], ('XXXXXXXXXXXXXXX1618', 0.8947070240974426)], [[[483.0, 680.0], [759.0, 673.0], [760.0, 702.0], [484.0, 709.0]], ('REMAIN BAL $O.00', 0.922974705696106)], [[[485.0, 740.0], [671.0, 734.0], [671.0, 763.0], [486.0, 769.0]], ('PUMP PRODUCT', 0.9549697041511536)], [[[708.0, 734.0], [765.0, 734.0], [765.0, 763.0], [708.0, 763.0]], ('$/G', 0.9920045733451843)], [[[502.0, 768.0], [539.0, 768.0], [539.0, 796.0], [502.0, 796.0]], ('07', 0.9944226741790771)], [[[574.0, 765.0], [643.0, 765.0], [643.0, 796.0], [574.0, 796.0]], ('VPOW', 0.9749370813369751)], [[[679.0, 764.0], [776.0, 759.0], [778.0, 790.0], [681.0, 794.0]], ('$3.959', 0.994273841381073)], [[[490.0, 823.0], [598.0, 823.0], [598.0, 852.0], [490.0, 852.0]], ('GALLONS', 0.9979824423789978)], [[[638.0, 819.0], [789.0, 819.0], [789.0, 848.0], [638.0, 848.0]], ('FUEL TOTAL', 0.9469102621078491)], [[[502.0, 850.0], [597.0, 846.0], [599.0, 877.0], [503.0, 881.0]], ('12.629', 0.9830183386802673)], [[[682.0, 847.0], [795.0, 847.0], [795.0, 875.0], [682.0, 875.0]], ('$50.00', 0.9555470943450928)], [[[520.0, 938.0], [760.0, 938.0], [760.0, 967.0], [520.0, 967.0]], ('Now thru 8/5/13,', 0.9421499371528625)], [[[490.0, 969.0], [782.0, 967.0], [782.0, 996.0], [490.0, 998.0]], ('each time you swipe', 0.9572624564170837)], [[[490.0, 1000.0], [798.0, 994.0], [798.0, 1023.0], [491.0, 1029.0]], ('an FRN card at Shell', 0.9051235318183899)], [[[518.0, 1029.0], [753.0, 1027.0], [753.0, 1057.0], [518.0, 1059.0]], ('receive 3cpg or', 0.9596388936042786)], [[[596.0, 1062.0], [675.0, 1062.0], [675.0, 1088.0], [596.0, 1088.0]], ('more.', 0.9981546401977539)], [[[522.0, 1119.0], [768.0, 1119.0], [768.0, 1148.0], [522.0, 1148.0]], ('For more details', 0.9556953310966492)], [[[598.0, 1149.0], [680.0, 1149.0], [680.0, 1175.0], [598.0, 1175.0]], ('visit', 0.9841449856758118)], [[[492.0, 1176.0], [802.0, 1180.0], [801.0, 1211.0], [492.0, 1207.0]], ('fuelrewards.com/rece', 0.9845811724662781)], [[[615.0, 1210.0], [668.0, 1210.0], [668.0, 1243.0], [615.0, 1243.0]], ('ipt', 0.9968926906585693)], [[[506.0, 1268.0], [789.0, 1270.0], [789.0, 1304.0], [506.0, 1302.0]], ('You received $0.20', 0.9688397645950317)], [[[506.0, 1304.0], [791.0, 1309.0], [791.0, 1338.0], [506.0, 1333.0]], ('/gal by using your', 0.9486503601074219)], [[[487.0, 1334.0], [802.0, 1338.0], [801.0, 1372.0], [487.0, 1368.0]], ('Ralphs Rewards card.', 0.9652023315429688)], [[[501.0, 1399.0], [793.0, 1408.0], [792.0, 1442.0], [500.0, 1433.0]], ('Come back to Shell', 0.9090062379837036)], [[[517.0, 1434.0], [778.0, 1444.0], [776.0, 1478.0], [516.0, 1468.0]], ('to redeem future', 0.9648030996322632)], [[[528.0, 1470.0], [764.0, 1478.0], [763.0, 1512.0], [526.0, 1504.0]], ('Ralphs Rewards', 0.9396544098854065)], [[[561.0, 1504.0], [727.0, 1514.0], [725.0, 1549.0], [559.0, 1540.0]], ('discounts.', 0.9969030618667603)], [[[565.0, 1572.0], [719.0, 1582.0], [716.0, 1617.0], [563.0, 1607.0]], ('THANK YOU', 0.9584248065948486)]]	{"store_name": "SALESRECEIPT", "store_addr": "", "telephone": "57444584601", "date": "06/04/13", "time": "5:24PM", "subtotal": "", "tax": "", "total": "$50.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "VPOW", "item_value": "", "item_quantity": ""}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[99.0, 127.0], [259.0, 127.0], [259.0, 141.0], [99.0, 141.0]], ('NON FISCALE', 0.9544618725776672)], [[[261.0, 152.0], [296.0, 152.0], [296.0, 167.0], [261.0, 167.0]], ('EURO', 0.9915012717247009)], [[[65.0, 170.0], [174.0, 170.0], [174.0, 183.0], [65.0, 183.0]], ('PASTO COMPLETO', 0.9600033760070801)], [[[256.0, 166.0], [297.0, 163.0], [298.0, 179.0], [257.0, 181.0]], ('14.00', 0.961212158203125)], [[[63.0, 184.0], [174.0, 183.0], [174.0, 197.0], [63.0, 198.0]], ('PASTO COMPLETO', 0.9681882858276367)], [[[257.0, 181.0], [300.0, 179.0], [301.0, 194.0], [258.0, 196.0]], ('14.00', 0.923754096031189)], [[[62.0, 199.0], [174.0, 198.0], [174.0, 212.0], [62.0, 213.0]], ('PASTO COMPLETO', 0.9665712118148804)], [[[216.0, 192.0], [245.0, 192.0], [245.0, 202.0], [216.0, 202.0]], ('A', 0.9015219807624817)], [[[259.0, 195.0], [302.0, 195.0], [302.0, 210.0], [259.0, 210.0]], ('14.00', 0.9514942169189453)], [[[62.0, 215.0], [158.0, 215.0], [158.0, 229.0], [62.0, 229.0]], ('PRIMO PIATTO', 0.955892026424408)], [[[261.0, 211.0], [304.0, 211.0], [304.0, 226.0], [261.0, 226.0]], ('15,00', 0.9035663604736328)], [[[60.0, 230.0], [112.0, 230.0], [112.0, 247.0], [60.0, 247.0]], ('BIBITA', 0.9959368109703064)], [[[264.0, 228.0], [305.0, 228.0], [305.0, 243.0], [264.0, 243.0]], ('12,00', 0.9076644778251648)], [[[60.0, 248.0], [103.0, 248.0], [103.0, 263.0], [60.0, 263.0]], ('ACQUA', 0.9743040204048157)], [[[271.0, 245.0], [307.0, 245.0], [307.0, 260.0], [271.0, 260.0]], ('8,00', 0.8812884092330933)], [[[60.0, 264.0], [127.0, 264.0], [127.0, 281.0], [60.0, 281.0]], ('4X3.00', 0.9230075478553772)], [[[57.0, 281.0], [119.0, 280.0], [119.0, 298.0], [58.0, 299.0]], ('COPERTO', 0.9971050024032593)], [[[266.0, 278.0], [311.0, 278.0], [311.0, 296.0], [266.0, 296.0]], ('12,00', 0.9128797650337219)], [[[60.0, 300.0], [129.0, 300.0], [129.0, 329.0], [60.0, 329.0]], ('TOTALE ', 0.9388594627380371)], [[[264.0, 298.0], [313.0, 298.0], [313.0, 329.0], [264.0, 329.0]], ('89,00', 0.9497842788696289)], [[[60.0, 330.0], [126.0, 330.0], [126.0, 349.0], [60.0, 349.0]], ('CONTANTE', 0.9956654906272888)], [[[60.0, 365.0], [201.0, 365.0], [201.0, 382.0], [60.0, 382.0]], ('REG.O01 OPER.1', 0.8565511703491211)], [[[63.0, 384.0], [194.0, 384.0], [194.0, 397.0], [63.0, 397.0]], ('30-04-2018 14:47', 0.9494158029556274)], [[[64.0, 399.0], [186.0, 399.0], [186.0, 412.0], [64.0, 412.0]], ('SCONTRINO N. 24', 0.8995243310928345)], [[[97.0, 426.0], [269.0, 419.0], [270.0, 433.0], [97.0, 440.0]], ('NON FISCALE', 0.9555515050888062)]]	{"store_name": "", "store_addr": "SANPOLO767VENEZIA", "telephone": "", "date": "30-04-2018", "time": "14:47", "subtotal": "", "tax": "", "total": "89,00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PASTOCOMPLETO", "item_value": "14,00", "item_quantity": "1"}, {"item_key": "", "item_name": "PASTOCOMPLETO", "item_value": "14,00", "item_quantity": "1"}, {"item_key": "", "item_name": "PASTOCOMPLETO", "item_value": "14,00", "item_quantity": "1"}, {"item_key": "", "item_name": "PRIMOPIATTO", "item_value": "15,00", "item_quantity": "1"}, {"item_key": "", "item_name": "BIBITA", "item_value": "12,00", "item_quantity": "1"}, {"item_key": "", "item_name": "ACQUA", "item_value": "8,00", "item_quantity": "1"}, {"item_key": "", "item_name": "COPERTO", "item_value": "12,00", "item_quantity": "1"}]}