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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	[[[[108.0, 27.0], [169.0, 30.0], [168.0, 45.0], [107.0, 43.0]], ('TAX INVOICE', 0.9559211134910583)], [[[57.0, 54.0], [229.0, 56.0], [229.0, 70.0], [57.0, 67.0]], ('TABLE ACCOUNT 74-Id/CheCk 68752', 0.8726203441619873)], [[[89.0, 68.0], [201.0, 68.0], [201.0, 82.0], [89.0, 82.0]], ('Sake Restaurant & Bar', 0.9623118042945862)], [[[47.0, 80.0], [229.0, 81.0], [229.0, 95.0], [47.0, 94.0]], ('Shop 133 Cross StreetDouble Bay', 0.9246065616607666)], [[[77.0, 93.0], [209.0, 94.0], [209.0, 108.0], [77.0, 107.0]], ('Sydney NSW 2028 Australia', 0.9151328206062317)], [[[96.0, 105.0], [184.0, 106.0], [184.0, 121.0], [96.0, 120.0]], ('Ph02 9259 5656', 0.9272175431251526)], [[[93.0, 118.0], [189.0, 119.0], [188.0, 133.0], [93.0, 132.0]], ('ABN 64 002 018902', 0.9084135890007019)], [[[56.0, 131.0], [229.0, 132.0], [229.0, 146.0], [56.0, 145.0]], ('Served by MaddisonP -Host Desk 1', 0.9119530916213989)], [[[112.0, 144.0], [169.0, 144.0], [169.0, 158.0], [112.0, 158.0]], ('Covers:2', 0.9311589002609253)], [[[88.0, 156.0], [189.0, 159.0], [188.0, 172.0], [87.0, 170.0]], ('6/6/2016 at 2:23 pn', 0.9063252806663513)], [[[36.0, 191.0], [83.0, 193.0], [82.0, 209.0], [35.0, 206.0]], ('BEVERAGE', 0.9879715442657471)], [[[37.0, 204.0], [63.0, 207.0], [61.0, 222.0], [35.0, 219.0]], ('FOOO', 0.788128674030304)], [[[208.0, 195.0], [245.0, 195.0], [245.0, 210.0], [208.0, 210.0]], ('$18.00', 0.9924664497375488)], [[[36.0, 217.0], [83.0, 220.0], [82.0, 234.0], [35.0, 232.0]], ('VOID/QSA', 0.9716818332672119)], [[[204.0, 208.0], [245.0, 208.0], [245.0, 222.0], [204.0, 222.0]], ('$149.00', 0.9910704493522644)], [[[214.0, 221.0], [245.0, 221.0], [245.0, 235.0], [214.0, 235.0]], ('$0.00', 0.9876543879508972)], [[[56.0, 245.0], [167.0, 245.0], [167.0, 259.0], [56.0, 259.0]], ('2x Sencha Green Tea', 0.9044466018676758)], [[[215.0, 245.0], [245.0, 245.0], [245.0, 261.0], [215.0, 261.0]], ('006$', 0.8579311370849609)], [[[76.0, 258.0], [118.0, 258.0], [118.0, 272.0], [76.0, 272.0]], ('0$4.50', 0.9683802127838135)], [[[55.0, 269.0], [152.0, 271.0], [152.0, 285.0], [55.0, 283.0]], ('1x Pelligrino Lg', 0.9014119505882263)], [[[215.0, 271.0], [246.0, 271.0], [246.0, 285.0], [215.0, 285.0]], ('$9.00', 0.9941298365592957)], [[[56.0, 282.0], [163.0, 284.0], [162.0, 298.0], [56.0, 295.0]], ('1x Steaned Edanase', 0.8793815970420837)], [[[213.0, 282.0], [245.0, 285.0], [244.0, 300.0], [212.0, 297.0]], ('$9.00', 0.9968811273574829)], [[[55.0, 294.0], [163.0, 295.0], [162.0, 310.0], [55.0, 309.0]], ('2x Nigiri Sunazuri', 0.897491455078125)], [[[208.0, 296.0], [245.0, 296.0], [245.0, 311.0], [208.0, 311.0]], ('$18.00', 0.9918084144592285)], [[[76.0, 306.0], [120.0, 309.0], [119.0, 323.0], [75.0, 321.0]], ('$9.00', 0.9885560870170593)], [[[54.0, 320.0], [142.0, 321.0], [142.0, 335.0], [54.0, 334.0]], ('2x Nigir1 Toro', 0.8838820457458496)], [[[208.0, 321.0], [245.0, 321.0], [245.0, 336.0], [208.0, 336.0]], ('$32.00', 0.9948630928993225)], [[[75.0, 335.0], [121.0, 335.0], [121.0, 347.0], [75.0, 347.0]], ('$16.00', 0.9775924682617188)], [[[55.0, 345.0], [167.0, 347.0], [167.0, 361.0], [55.0, 360.0]], ('2x Nigiri Ee1 Unag', 0.8247643709182739)], [[[208.0, 347.0], [246.0, 347.0], [246.0, 362.0], [208.0, 362.0]], ('$20.00', 0.9934613704681396)], [[[77.0, 360.0], [123.0, 360.0], [123.0, 371.0], [77.0, 371.0]], ('$10.00', 0.9759743213653564)], [[[55.0, 370.0], [162.0, 371.0], [161.0, 385.0], [55.0, 384.0]], ('2x Nigir1 Sca1 Hot', 0.8566679954528809)], [[[208.0, 372.0], [245.0, 372.0], [245.0, 386.0], [208.0, 386.0]], ('$20.00', 0.9905920028686523)], [[[75.0, 385.0], [123.0, 385.0], [123.0, 397.0], [75.0, 397.0]], ('$10.00', 0.9869728684425354)], [[[56.0, 396.0], [167.0, 397.0], [167.0, 411.0], [56.0, 410.0]], ('1x Brussels Sprouts', 0.9196218252182007)], [[[208.0, 398.0], [245.0, 398.0], [245.0, 412.0], [208.0, 412.0]], ('$16.00', 0.9929592609405518)], [[[56.0, 409.0], [151.0, 410.0], [151.0, 424.0], [56.0, 423.0]], ('1x Duo Dusplings*', 0.8451123833656311)], [[[208.0, 410.0], [245.0, 410.0], [245.0, 424.0], [208.0, 424.0]], ('$20.00', 0.9922911524772644)], [[[55.0, 421.0], [147.0, 422.0], [147.0, 437.0], [55.0, 435.0]], ('1xYuzu&Basi', 0.9077497720718384)], [[[208.0, 423.0], [245.0, 423.0], [245.0, 438.0], [208.0, 438.0]], ('$14.00', 0.9919769763946533)], [[[67.0, 447.0], [97.0, 447.0], [97.0, 462.0], [67.0, 462.0]], ('Total', 0.9891197085380554)], [[[202.0, 448.0], [245.0, 448.0], [245.0, 462.0], [202.0, 462.0]], ('$167.00', 0.985919177532196)], [[[66.0, 483.0], [108.0, 486.0], [107.0, 501.0], [65.0, 499.0]], ('Balance', 0.9880169630050659)], [[[203.0, 486.0], [245.0, 486.0], [245.0, 500.0], [203.0, 500.0]], ('$167.00', 0.9904174208641052)], [[[36.0, 509.0], [118.0, 511.0], [117.0, 526.0], [35.0, 523.0]], ('Taxable Itess', 0.8874289989471436)], [[[35.0, 523.0], [168.0, 522.0], [168.0, 537.0], [35.0, 538.0]], ('TOTAL 1ncludes GST $15.18', 0.9165796041488647)], [[[64.0, 550.0], [218.0, 550.0], [218.0, 563.0], [64.0, 563.0]], ('Takeaway now available at Sake', 0.9063882827758789)], [[[77.0, 563.0], [208.0, 563.0], [208.0, 577.0], [77.0, 577.0]], ('www.sakerestaurant.com.au', 0.9659614562988281)], [[[77.0, 573.0], [207.0, 575.0], [207.0, 589.0], [77.0, 588.0]], ('Note:2x surcharge on al1', 0.8805432915687561)], [[[98.0, 588.0], [189.0, 588.0], [189.0, 601.0], [98.0, 601.0]], ('card transactions', 0.9637673497200012)]]	{"store_name": "SakeRestaurant&Bar", "store_addr": "Shop1,33CrossStreet,DoubleBay SydneyNSW2028Australia", "telephone": "0292595656", "date": "6/6/2016at", "time": "2:23pm", "subtotal": "", "tax": "$15.18", "total": "$167.00 $167.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SenchaGreenTea", "item_value": "$9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PelligrlnoLg", "item_value": "$9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SteamedEdamane", "item_value": "$9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NigiriSunazuri", "item_value": "$18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NigiriToro", "item_value": "$32.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NigiriEelUnagi", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NigiriScalHot", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BrusselsSprouts", "item_value": "$16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DuoDumplings", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Yuzu&Basil", "item_value": "$14.00", "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	[[[[161.0, 47.0], [502.0, 47.0], [502.0, 113.0], [161.0, 113.0]], ('Walmart', 0.9904367327690125)], [[[165.0, 126.0], [506.0, 126.0], [506.0, 151.0], [165.0, 151.0]], ('Save money.Live better.', 0.9616908431053162)], [[[241.0, 187.0], [501.0, 187.0], [501.0, 209.0], [241.0, 209.0]], ('203791-1929', 0.9225370287895203)], [[[214.0, 213.0], [515.0, 214.0], [515.0, 237.0], [214.0, 236.0]], ('MANAGER JOSEPH GRASSO', 0.9572046995162964)], [[[270.0, 237.0], [459.0, 240.0], [459.0, 266.0], [269.0, 262.0]], ('67 NEWTOWN RD', 0.9240990281105042)], [[[256.0, 267.0], [471.0, 268.0], [471.0, 290.0], [256.0, 289.0]], ('DANBURY CT 6810', 0.9125372767448425)], [[[97.0, 291.0], [652.0, 289.0], [652.0, 318.0], [97.0, 320.0]], ('ST#35430P#00003813TE#77TR00088', 0.9572550654411316)], [[[100.0, 322.0], [261.0, 322.0], [261.0, 343.0], [100.0, 343.0]], ('SAFE24GUN', 0.9911613464355469)], [[[284.0, 321.0], [457.0, 321.0], [457.0, 343.0], [284.0, 343.0]], ('000551610309', 0.9978351593017578)], [[[530.0, 319.0], [651.0, 317.0], [651.0, 341.0], [531.0, 344.0]], ('497.00T', 0.9929937720298767)], [[[354.0, 348.0], [470.0, 345.0], [470.0, 371.0], [355.0, 374.0]], ('SUBTOTAL', 0.9970648288726807)], [[[530.0, 345.0], [621.0, 342.0], [622.0, 369.0], [531.0, 371.0]], ('497.00', 0.9875389933586121)], [[[96.0, 371.0], [184.0, 371.0], [184.0, 398.0], [96.0, 398.0]], ('SHOVEL', 0.9978063106536865)], [[[287.0, 375.0], [458.0, 375.0], [458.0, 398.0], [287.0, 398.0]], ('004436502016', 0.9976212382316589)], [[[544.0, 371.0], [653.0, 369.0], [654.0, 396.0], [545.0, 398.0]], ('29.96X', 0.9594829082489014)], [[[355.0, 398.0], [468.0, 400.0], [468.0, 426.0], [354.0, 423.0]], ('SUBTOTAL', 0.993679404258728)], [[[530.0, 399.0], [621.0, 399.0], [621.0, 425.0], [530.0, 425.0]], ('526.96', 0.9951767325401306)], [[[226.0, 425.0], [300.0, 425.0], [300.0, 451.0], [226.0, 451.0]], ('TAX1', 0.9969620704650879)], [[[340.0, 428.0], [445.0, 428.0], [445.0, 450.0], [340.0, 450.0]], ('6.350%', 0.9650734066963196)], [[[545.0, 426.0], [622.0, 426.0], [622.0, 452.0], [545.0, 452.0]], ('33.46', 0.9910033345222473)], [[[399.0, 452.0], [471.0, 452.0], [471.0, 479.0], [399.0, 479.0]], ('TOTAL', 0.9981033205986023)], [[[530.0, 453.0], [622.0, 453.0], [622.0, 479.0], [530.0, 479.0]], ('560.42', 0.9918040633201599)], [[[324.0, 477.0], [475.0, 479.0], [474.0, 506.0], [324.0, 503.0]], ('CASHTEND', 0.9947550296783447)], [[[531.0, 480.0], [622.0, 480.0], [622.0, 506.0], [531.0, 506.0]], ('500.00', 0.997905433177948)], [[[311.0, 504.0], [475.0, 507.0], [474.0, 532.0], [311.0, 530.0]], ('DEBITTEND', 0.9906851649284363)], [[[547.0, 507.0], [623.0, 507.0], [623.0, 533.0], [547.0, 533.0]], ('60.42', 0.9720555543899536)], [[[324.0, 531.0], [473.0, 533.0], [472.0, 560.0], [324.0, 558.0]], ('CHANGE DUE', 0.9590306282043457)], [[[559.0, 533.0], [624.0, 533.0], [624.0, 561.0], [559.0, 561.0]], ('0.00', 0.997894287109375)], [[[85.0, 608.0], [221.0, 610.0], [220.0, 636.0], [85.0, 633.0]], ('EFT DEBIT', 0.9446751475334167)], [[[325.0, 611.0], [560.0, 614.0], [559.0, 639.0], [325.0, 636.0]], ('PAY FROM PRIMARY', 0.9424349069595337)], [[[131.0, 634.0], [234.0, 637.0], [233.0, 663.0], [131.0, 660.0]], ('60.42', 0.9872530698776245)], [[[234.0, 637.0], [442.0, 639.0], [442.0, 664.0], [233.0, 661.0]], ('TOTAL PURCHASE', 0.9639257788658142)], [[[88.0, 661.0], [224.0, 664.0], [223.0, 689.0], [87.0, 687.0]], ('ACCOUNT#', 0.9893016815185547)], [[[323.0, 666.0], [612.0, 666.0], [612.0, 690.0], [323.0, 690.0]], ('**6503', 0.8707934021949768)], [[[88.0, 691.0], [353.0, 689.0], [354.0, 711.0], [88.0, 714.0]], ('REF#403700581719', 0.993423581123352)], [[[88.0, 715.0], [572.0, 715.0], [572.0, 740.0], [88.0, 740.0]], ('NETW0RK ID.0056 APPR C0DE 812870', 0.9139107465744019)], [[[89.0, 744.0], [369.0, 741.0], [369.0, 767.0], [90.0, 769.0]], ('TERMINAL#19000574', 0.9898598790168762)], [[[224.0, 794.0], [341.0, 794.0], [341.0, 819.0], [224.0, 819.0]], ('02/05/14', 0.998020589351654)], [[[397.0, 793.0], [511.0, 793.0], [511.0, 818.0], [397.0, 818.0]], ('19:53:11', 0.9446666240692139)], [[[148.0, 847.0], [553.0, 841.0], [553.0, 886.0], [149.0, 892.0]], ('#ITEMS SOLD2', 0.9653828144073486)]]	{"store_name": "Walmart", "store_addr": "67NEWTOWNRD DANBURYCT6810", "telephone": "(203)791-1929", "date": "02/05/14", "time": "19:53:11", "subtotal": "526.96", "tax": "33.46", "total": "560.42", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SAFE24GUN", "item_value": "497.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SHOVEL", "item_value": "497.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "29.96", "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	[[[[244.0, 192.0], [419.0, 192.0], [419.0, 217.0], [244.0, 217.0]], ('ALL ABOUT FOOD', 0.9252323508262634)], [[[255.0, 223.0], [394.0, 223.0], [394.0, 248.0], [255.0, 248.0]], ('5701 HWY 90', 0.898634672164917)], [[[218.0, 254.0], [431.0, 254.0], [431.0, 279.0], [218.0, 279.0]], ('MILTON.FL32583', 0.9507206678390503)], [[[218.0, 288.0], [431.0, 285.0], [432.0, 310.0], [219.0, 313.0]], ('ph 850)516-0975', 0.9382168650627136)], [[[196.0, 381.0], [456.0, 380.0], [456.0, 405.0], [196.0, 406.0]], ('TABLE:KRIS-1 Guest', 0.9282506108283997)], [[[234.0, 415.0], [430.0, 415.0], [430.0, 436.0], [234.0, 436.0]], ('Server:Courtney', 0.9644951224327087)], [[[199.0, 446.0], [459.0, 442.0], [459.0, 467.0], [200.0, 471.0]], ('12/10/20145:43:56PM', 0.9724017977714539)], [[[209.0, 477.0], [447.0, 473.0], [448.0, 498.0], [209.0, 502.0]], ('Sequence#0000053', 0.9929166436195374)], [[[247.0, 506.0], [410.0, 503.0], [410.0, 529.0], [248.0, 532.0]], ('ID#0061305', 0.99200838804245)], [[[65.0, 567.0], [126.0, 567.0], [126.0, 598.0], [65.0, 598.0]], ('ITEM', 0.9272228479385376)], [[[471.0, 564.0], [602.0, 560.0], [603.0, 589.0], [471.0, 593.0]], ('QTY PRICE', 0.9607164859771729)], [[[389.0, 629.0], [502.0, 627.0], [503.0, 655.0], [389.0, 657.0]], ('2@$6.60', 0.9895223379135132)], [[[523.0, 626.0], [606.0, 626.0], [606.0, 655.0], [523.0, 655.0]], ('$13.20', 0.9915522933006287)], [[[68.0, 636.0], [299.0, 630.0], [300.0, 656.0], [69.0, 662.0]], ('Oysters:Raw Dozen', 0.9417568445205688)], [[[132.0, 665.0], [239.0, 665.0], [239.0, 694.0], [132.0, 694.0]], ('2As App', 0.9686065912246704)], [[[259.0, 695.0], [361.0, 691.0], [363.0, 721.0], [260.0, 724.0]], ('Subtotal', 0.9898155927658081)], [[[527.0, 691.0], [609.0, 688.0], [610.0, 718.0], [528.0, 721.0]], ('$13.20', 0.9948531985282898)], [[[262.0, 727.0], [403.0, 727.0], [403.0, 755.0], [262.0, 755.0]], ('Total Taxes', 0.9456625580787659)], [[[540.0, 723.0], [611.0, 720.0], [612.0, 752.0], [541.0, 755.0]], ('$0.86', 0.996126651763916)], [[[263.0, 792.0], [401.0, 789.0], [402.0, 819.0], [264.0, 821.0]], ('Grand Total', 0.9207977056503296)], [[[531.0, 790.0], [613.0, 790.0], [613.0, 819.0], [531.0, 819.0]], ('$14.06', 0.9962263107299805)], [[[264.0, 827.0], [402.0, 825.0], [403.0, 850.0], [265.0, 852.0]], ('Amount Due:', 0.9383985996246338)], [[[533.0, 823.0], [615.0, 823.0], [615.0, 852.0], [533.0, 852.0]], ('$14.06', 0.9960245490074158)], [[[548.0, 856.0], [617.0, 856.0], [617.0, 886.0], [548.0, 886.0]], ('14.06', 0.9942835569381714)], [[[58.0, 903.0], [263.0, 896.0], [263.0, 917.0], [59.0, 925.0]], ('Credit Purchase', 0.96038419008255)]]	{"store_name": "ALLABOUTFOOD", "store_addr": "5701HWY90 MILTON,FL32583", "telephone": "ph(850)516-0975", "date": "12/10/2014", "time": "5:43:56PM", "subtotal": "$13.20", "tax": "$0.86", "total": "$14.06", "ignore": "\\", "tips": "", "line_items": [{"item_key": "", "item_name": "Oysters:RawDozen", "item_value": "$13.20", "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	[[[[170.0, 26.0], [198.0, 26.0], [198.0, 37.0], [170.0, 37.0]], ('delete', 0.9128732085227966)], [[[119.0, 71.0], [238.0, 71.0], [238.0, 84.0], [119.0, 84.0]], ('STARBUCKS Store 7475', 0.9126947522163391)], [[[129.0, 81.0], [228.0, 83.0], [228.0, 96.0], [128.0, 94.0]], ('405 Route 10 East', 0.9237270355224609)], [[[88.0, 93.0], [269.0, 94.0], [269.0, 108.0], [88.0, 107.0]], ('East HanoverNJ 973) 599-0100', 0.9331477284431458)], [[[149.0, 114.0], [214.0, 118.0], [213.0, 132.0], [148.0, 128.0]], ('CHK657461', 0.9615364074707031)], [[[119.0, 124.0], [239.0, 129.0], [239.0, 146.0], [118.0, 141.0]], ('12/17/2014 03:01PM', 0.9432400465011597)], [[[94.0, 137.0], [264.0, 143.0], [264.0, 158.0], [94.0, 153.0]], ('1186448 Drawer1 Reg2', 0.9231443405151367)], [[[72.0, 164.0], [190.0, 167.0], [190.0, 181.0], [72.0, 178.0]], ('Turky Pesto Panini', 0.9550730586051941)], [[[250.0, 168.0], [279.0, 168.0], [279.0, 183.0], [250.0, 183.0]], ('5.95', 0.9970090985298157)], [[[70.0, 178.0], [190.0, 181.0], [190.0, 197.0], [70.0, 194.0]], ('T1 Pasntgo Icd Tea', 0.8963720798492432)], [[[251.0, 182.0], [281.0, 182.0], [281.0, 198.0], [251.0, 198.0]], ('1.75', 0.9913913607597351)], [[[68.0, 195.0], [132.0, 195.0], [132.0, 209.0], [68.0, 209.0]], ('Sbux Card', 0.952484130859375)], [[[253.0, 197.0], [283.0, 197.0], [283.0, 212.0], [253.0, 212.0]], ('8.24', 0.995290994644165)], [[[66.0, 211.0], [174.0, 211.0], [174.0, 223.0], [66.0, 223.0]], ('XXXXXXXXXXXX7801', 0.9076414108276367)], [[[61.0, 241.0], [120.0, 241.0], [120.0, 258.0], [61.0, 258.0]], ('Subtotal', 0.9931221008300781)], [[[251.0, 242.0], [291.0, 242.0], [291.0, 260.0], [251.0, 260.0]], ('$7.70', 0.9310312271118164)], [[[59.0, 258.0], [107.0, 258.0], [107.0, 276.0], [59.0, 276.0]], ('Tax7%', 0.9881449937820435)], [[[252.0, 260.0], [293.0, 260.0], [293.0, 278.0], [252.0, 278.0]], ('$0.54', 0.9948069453239441)], [[[56.0, 276.0], [97.0, 276.0], [97.0, 294.0], [56.0, 294.0]], ('Total', 0.9924419522285461)], [[[255.0, 278.0], [296.0, 278.0], [296.0, 296.0], [255.0, 296.0]], ('$8.24', 0.9963566064834595)], [[[31.0, 294.0], [126.0, 297.0], [125.0, 314.0], [31.0, 311.0]], ('Change', 0.9978716969490051)], [[[135.0, 297.0], [182.0, 297.0], [182.0, 311.0], [135.0, 311.0]], ('Due', 0.9911779761314392)], [[[256.0, 295.0], [333.0, 298.0], [333.0, 316.0], [256.0, 313.0]], ('$0.00', 0.9965960383415222)], [[[122.0, 334.0], [214.0, 334.0], [214.0, 347.0], [122.0, 347.0]], ('Check Closed', 0.9232973456382751)]]	{"store_name": "STARBUCKSStore#7475", "store_addr": "405Route10East", "telephone": "EastHanover,NJ(973)599-0100", "date": "12/17/2014", "time": "03:01PM", "subtotal": "$7.70", "tax": "$0.54", "total": "$8.24", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TurkyPestoPanini", "item_value": "1.75", "item_quantity": "1"}, {"item_key": "", "item_name": "T1PasntgoIcdTea", "item_value": "5.95", "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	[[[[28.0, 12.0], [205.0, 7.0], [205.0, 22.0], [29.0, 26.0]], ('Red House Seafood', 0.9505451321601868)], [[[49.0, 25.0], [192.0, 23.0], [192.0, 36.0], [49.0, 39.0]], ('B1k 1204 Eas Coas Pary', 0.8197982907295227)], [[[40.0, 39.0], [207.0, 36.0], [207.0, 51.0], [40.0, 53.0]], ('01 0S East Coast Seafood Centre', 0.8742524981498718)], [[[73.0, 53.0], [162.0, 51.0], [162.0, 66.0], [74.0, 68.0]], ('Sinypore 449832', 0.8350659012794495)], [[[46.0, 67.0], [193.0, 65.0], [193.0, 78.0], [46.0, 80.0]], ('Tel6442 3112 F6444332', 0.8762151598930359)], [[[56.0, 80.0], [176.0, 78.0], [176.0, 93.0], [56.0, 95.0]], ('www.redhouseseafood.com', 0.9143138527870178)], [[[70.0, 93.0], [167.0, 91.0], [167.0, 105.0], [71.0, 107.0]], ('Gst o.20040074', 0.8558446764945984)], [[[31.0, 121.0], [216.0, 117.0], [216.0, 130.0], [32.0, 134.0]], ('06/03/2013 1225TRNC1A135858', 0.8741322159767151)], [[[33.0, 133.0], [132.0, 131.0], [133.0, 153.0], [34.0, 155.0]], ('Table 62', 0.934150218963623)], [[[151.0, 140.0], [188.0, 143.0], [187.0, 155.0], [151.0, 153.0]], ('Pax', 0.9005005955696106)], [[[202.0, 143.0], [214.0, 143.0], [214.0, 152.0], [202.0, 152.0]], ('4', 0.914503812789917)], [[[34.0, 171.0], [138.0, 171.0], [138.0, 184.0], [34.0, 184.0]], ('8.G00o Eried Man-Tou', 0.7365986108779907)], [[[205.0, 168.0], [228.0, 168.0], [228.0, 180.0], [205.0, 180.0]], ('5.60', 0.8522613644599915)], [[[34.0, 184.0], [135.0, 184.0], [135.0, 198.0], [34.0, 198.0]], ('2.0000 Thai Coconut', 0.866247296333313)], [[[205.0, 180.0], [230.0, 180.0], [230.0, 196.0], [205.0, 196.0]], ('9.60', 0.9305664300918579)], [[[34.0, 197.0], [158.0, 196.0], [158.0, 210.0], [34.0, 212.0]], ('1.0000 ineral Water S)', 0.8304867148399353)], [[[205.0, 194.0], [230.0, 194.0], [230.0, 209.0], [205.0, 209.0]], ('2.50', 0.9879099130630493)], [[[34.0, 212.0], [128.0, 209.0], [129.0, 223.0], [34.0, 225.0]], ('1.0300 Ch111 Ca', 0.8210431337356567)], [[[200.0, 207.0], [231.0, 207.0], [231.0, 222.0], [200.0, 222.0]], ('55.00', 0.8703778386116028)], [[[35.0, 225.0], [124.0, 225.0], [124.0, 239.0], [35.0, 239.0]], ('4.00no Rezor Cla', 0.7062996625900269)], [[[201.0, 222.0], [231.0, 222.0], [231.0, 236.0], [201.0, 236.0]], ('52.00', 0.9745769500732422)], [[[35.0, 239.0], [126.0, 239.0], [126.0, 252.0], [35.0, 252.0]], ('1.0000 Lse Juice', 0.8503493070602417)], [[[206.0, 236.0], [231.0, 236.0], [231.0, 249.0], [206.0, 249.0]], ('4.00', 0.9792778491973877)], [[[34.0, 251.0], [184.0, 249.0], [185.0, 263.0], [34.0, 266.0]], ('1.0000 Ceresl Shelld Prauns', 0.8005080819129944)], [[[201.0, 249.0], [232.0, 249.0], [232.0, 264.0], [201.0, 264.0]], ('24.00', 0.9547927975654602)], [[[35.0, 265.0], [185.0, 262.0], [186.0, 277.0], [35.0, 279.0]], ('1.Cnoo D Fed S', 0.6390986442565918)], [[[202.0, 262.0], [232.0, 262.0], [232.0, 277.0], [202.0, 277.0]], ('24.00', 0.9854339361190796)], [[[36.0, 278.0], [153.0, 278.0], [153.0, 292.0], [36.0, 292.0]], ('4.000o Teaater8T6', 0.6819486021995544)], [[[207.0, 277.0], [232.0, 277.0], [232.0, 290.0], [207.0, 290.0]], ('3.00', 0.895757794380188)], [[[36.0, 293.0], [99.0, 293.0], [99.0, 304.0], [36.0, 304.0]], ('3.0000 Rice', 0.8892080783843994)], [[[208.0, 291.0], [232.0, 291.0], [232.0, 303.0], [208.0, 303.0]], ('2.40', 0.9343376159667969)], [[[35.0, 305.0], [121.0, 303.0], [121.0, 318.0], [35.0, 320.0]], ('T8 0000', 0.7491151094436646)], [[[36.0, 319.0], [106.0, 317.0], [106.0, 331.0], [36.0, 333.0]], ('1.0000 Pickle', 0.8713176250457764)], [[[208.0, 318.0], [232.0, 318.0], [232.0, 330.0], [208.0, 330.0]], ('2.50', 0.9598222970962524)], [[[57.0, 333.0], [91.0, 333.0], [91.0, 345.0], [57.0, 345.0]], ('SUATIL', 0.6319568753242493)], [[[200.0, 331.0], [232.0, 331.0], [232.0, 343.0], [200.0, 343.0]], ('202.60', 0.8962550759315491)], [[[56.0, 346.0], [117.0, 344.0], [117.0, 358.0], [56.0, 361.0]], ('10ZSVC C', 0.8016350269317627)], [[[203.0, 344.0], [233.0, 344.0], [233.0, 355.0], [203.0, 355.0]], ('20.26', 0.957241415977478)], [[[58.0, 359.0], [93.0, 359.0], [93.0, 371.0], [58.0, 371.0]], ('7091', 0.5324181318283081)], [[[205.0, 356.0], [232.0, 356.0], [232.0, 368.0], [205.0, 368.0]], ('15.40', 0.9196373224258423)], [[[61.0, 382.0], [107.0, 382.0], [107.0, 393.0], [61.0, 393.0]], ('TOTAL', 0.9838336110115051)], [[[167.0, 378.0], [232.0, 376.0], [233.0, 390.0], [168.0, 393.0]], ('238.50', 0.9655430316925049)]]	{"store_name": "RadHouseSeafood", "store_addr": "Singapore449882", "telephone": "64423112", "date": "06/03/2013", "time": "12:25", "subtotal": "202.60", "tax": "15.60", "total": "238.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ThaiCoconut", "item_value": "5.60", "item_quantity": "1"}, {"item_key": "", "item_name": "LiseJuice", "item_value": "9.60", "item_quantity": "1"}, {"item_key": "", "item_name": "Pickle", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "55.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "52.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "24.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.40", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.50", "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, 76.0], [178.0, 87.0], [120.0, 83.0]], ('Birainghan', 0.9373634457588196)], [[[114.0, 89.0], [178.0, 94.0], [177.0, 108.0], [113.0, 103.0]], ('TelNUMBER', 0.8997641801834106)], [[[120.0, 112.0], [221.0, 109.0], [221.0, 123.0], [120.0, 126.0]], ('Vat no 108 2534 36', 0.9250363111495972)], [[[90.0, 153.0], [142.0, 156.0], [141.0, 169.0], [90.0, 167.0]], ('Upstairs', 0.9757412075996399)], [[[213.0, 152.0], [247.0, 148.0], [248.0, 163.0], [215.0, 167.0]], ('0.00', 0.944851279258728)], [[[88.0, 178.0], [162.0, 180.0], [162.0, 194.0], [88.0, 192.0]], ('Bacon Burger', 0.9773582816123962)], [[[107.0, 169.0], [161.0, 169.0], [161.0, 180.0], [107.0, 180.0]], ('480.00', 0.9014174938201904)], [[[215.0, 176.0], [250.0, 173.0], [251.0, 189.0], [216.0, 191.0]], ('7.50', 0.9912222027778625)], [[[87.0, 189.0], [117.0, 192.0], [116.0, 206.0], [86.0, 204.0]], ('MAKE', 0.9975147247314453)], [[[182.0, 191.0], [240.0, 188.0], [241.0, 202.0], [182.0, 205.0]], ('NO ONIONS', 0.9466546177864075)], [[[86.0, 203.0], [134.0, 206.0], [133.0, 220.0], [85.0, 217.0]], ('Lapsang', 0.9945247769355774)], [[[217.0, 202.0], [253.0, 200.0], [254.0, 215.0], [218.0, 217.0]], ('1.90', 0.9944794774055481)], [[[86.0, 229.0], [137.0, 231.0], [136.0, 246.0], [85.0, 244.0]], ('Subtotal', 0.9956850409507751)], [[[221.0, 228.0], [256.0, 228.0], [256.0, 243.0], [221.0, 243.0]], ('9.40', 0.9908565878868103)], [[[84.0, 243.0], [127.0, 245.0], [126.0, 259.0], [83.0, 257.0]], ('EI VAT', 0.9290308952331543)], [[[222.0, 242.0], [257.0, 242.0], [257.0, 257.0], [222.0, 257.0]], ('1.57', 0.8944478631019592)], [[[84.0, 259.0], [118.0, 259.0], [118.0, 274.0], [84.0, 274.0]], ('Total', 0.9957917928695679)], [[[223.0, 257.0], [259.0, 257.0], [259.0, 272.0], [223.0, 272.0]], ('9.40', 0.992969274520874)], [[[26.0, 336.0], [96.0, 339.0], [95.0, 357.0], [26.0, 354.0]], ('Thank You', 0.9694848656654358)], [[[26.0, 357.0], [150.0, 357.0], [150.0, 374.0], [26.0, 374.0]], ('Ti11:Birmingham1', 0.9115806221961975)], [[[24.0, 375.0], [164.0, 375.0], [164.0, 392.0], [24.0, 392.0]], ('14-FEB-20131:32PM', 0.9648360013961792)], [[[19.0, 393.0], [47.0, 396.0], [46.0, 415.0], [17.0, 412.0]], ('Joe', 0.9936695098876953)]]	{"store_name": "BostonTeaParty", "store_addr": "", "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": "Upstairs", "item_value": "\u00a30.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BaconBurger", "item_value": "\u00a37.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Lapsang", "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	[[[[275.0, 529.0], [1189.0, 498.0], [1196.0, 688.0], [282.0, 719.0]], ('Walmart', 0.9598003625869751)], [[[294.0, 738.0], [1206.0, 713.0], [1208.0, 795.0], [296.0, 820.0]], ('Save money.Live better', 0.9744406342506409)], [[[500.0, 895.0], [1200.0, 877.0], [1201.0, 945.0], [502.0, 963.0]], ('937644-2800', 0.9705969095230103)], [[[473.0, 966.0], [1203.0, 945.0], [1205.0, 1013.0], [475.0, 1034.0]], ('MANAGER JAMES DAVIS', 0.9681020975112915)], [[[361.0, 1038.0], [1362.0, 1009.0], [1364.0, 1077.0], [363.0, 1106.0]], ('555 COLEMANS CROSSING BLVD', 0.9540776610374451)], [[[473.0, 1102.0], [1210.0, 1088.0], [1211.0, 1156.0], [474.0, 1170.0]], ('MARYSVILLE 0H 43040', 0.9314613342285156)], [[[131.0, 1177.0], [1605.0, 1142.0], [1607.0, 1213.0], [133.0, 1248.0]], ('ST# 1595 0P# 00005786 TE#24 TR# 03206', 0.9154040217399597)], [[[1359.0, 1218.0], [1612.0, 1210.0], [1614.0, 1285.0], [1361.0, 1293.0]], ('0.97X', 0.9546607732772827)], [[[135.0, 1245.0], [1098.0, 1227.0], [1100.0, 1295.0], [136.0, 1313.0]], ('AF ECW.80Z 005310000579', 0.9535998702049255)], [[[1363.0, 1278.0], [1620.0, 1278.0], [1620.0, 1363.0], [1363.0, 1363.0]], ('0.97X', 0.9557735323905945)], [[[135.0, 1313.0], [1099.0, 1298.0], [1100.0, 1366.0], [136.0, 1381.0]], ('AF ECW.80Z 005310000579', 0.9548228979110718)], [[[1370.0, 1357.0], [1620.0, 1357.0], [1620.0, 1431.0], [1370.0, 1431.0]], ('1.97X', 0.9646684527397156)], [[[138.0, 1384.0], [1102.0, 1366.0], [1103.0, 1434.0], [139.0, 1452.0]], ('STP GAS TRMT 007115378573', 0.9487400650978088)], [[[1370.0, 1428.0], [1620.0, 1428.0], [1620.0, 1499.0], [1370.0, 1499.0]], ('0.97X', 0.9521939158439636)], [[[138.0, 1452.0], [1102.0, 1434.0], [1103.0, 1502.0], [139.0, 1520.0]], ('CTR GRN V0TI 007112196105', 0.9458661675453186)], [[[1369.0, 1497.0], [1625.0, 1488.0], [1628.0, 1563.0], [1371.0, 1572.0]], ('0.97X', 0.9566228985786438)], [[[142.0, 1520.0], [1105.0, 1506.0], [1106.0, 1574.0], [143.0, 1588.0]], ('CTR GRN V0TI 007112196105', 0.9393492937088013)], [[[1373.0, 1567.0], [1542.0, 1567.0], [1542.0, 1642.0], [1373.0, 1642.0]], ('5.85', 0.9955053925514221)], [[[839.0, 1584.0], [1140.0, 1584.0], [1140.0, 1646.0], [839.0, 1646.0]], ('SUBTOTAL', 0.9975114464759827)], [[[1372.0, 1639.0], [1625.0, 1631.0], [1628.0, 1706.0], [1375.0, 1714.0]], ('1.00-0', 0.9858271479606628)], [[[148.0, 1660.0], [1109.0, 1645.0], [1110.0, 1713.0], [149.0, 1728.0]], ('COUP0N 53100 055310012276', 0.9456703662872314)], [[[1380.0, 1710.0], [1627.0, 1710.0], [1627.0, 1782.0], [1380.0, 1782.0]], ('1.00-0', 0.9891201853752136)], [[[148.0, 1731.0], [1112.0, 1717.0], [1113.0, 1781.0], [149.0, 1796.0]], ('COUP0N 71121 057112110076', 0.9492367506027222)], [[[1383.0, 1782.0], [1630.0, 1782.0], [1630.0, 1853.0], [1383.0, 1853.0]], ('1.00-0', 0.9915528893470764)], [[[155.0, 1806.0], [1112.0, 1788.0], [1113.0, 1849.0], [156.0, 1867.0]], ('COUP0N 71153057115300000', 0.960562527179718)], [[[1387.0, 1850.0], [1634.0, 1850.0], [1634.0, 1921.0], [1387.0, 1921.0]], ('1.00-0', 0.9888341426849365)], [[[152.0, 1870.0], [1119.0, 1853.0], [1120.0, 1921.0], [153.0, 1938.0]], ('COUP0N 53100 055310012276', 0.9397677779197693)], [[[1387.0, 1924.0], [1637.0, 1924.0], [1637.0, 1996.0], [1387.0, 1996.0]], ('1.00-0', 0.9914974570274353)], [[[152.0, 1938.0], [1122.0, 1928.0], [1123.0, 1999.0], [153.0, 2010.0]], ('COUP0N 71121 057112110076', 0.9552415609359741)], [[[1390.0, 1984.0], [1557.0, 1994.0], [1553.0, 2072.0], [1386.0, 2063.0]], ('0.85', 0.9930558204650879)], [[[846.0, 1996.0], [1153.0, 1996.0], [1153.0, 2067.0], [846.0, 2067.0]], ('SUBTOTAL', 0.9967106580734253)], [[[504.0, 2071.0], [710.0, 2071.0], [710.0, 2145.0], [504.0, 2145.0]], ('TAX 1', 0.9346960783004761)], [[[808.0, 2071.0], [1096.0, 2071.0], [1096.0, 2142.0], [808.0, 2142.0]], ('6.750%', 0.9940485954284668)], [[[1394.0, 2071.0], [1556.0, 2071.0], [1556.0, 2135.0], [1394.0, 2135.0]], ('0.39', 0.9972926378250122)], [[[964.0, 2139.0], [1167.0, 2139.0], [1167.0, 2213.0], [964.0, 2213.0]], ('TOTAL', 0.99847012758255)], [[[1394.0, 2135.0], [1566.0, 2135.0], [1566.0, 2210.0], [1394.0, 2210.0]], ('1.24', 0.981636106967926)], [[[774.0, 2210.0], [1173.0, 2206.0], [1174.0, 2281.0], [775.0, 2285.0]], ('CASH TEND', 0.943695604801178)], [[[1397.0, 2207.0], [1566.0, 2207.0], [1566.0, 2281.0], [1397.0, 2281.0]], ('2.00', 0.9982925653457642)], [[[777.0, 2285.0], [1169.0, 2278.0], [1171.0, 2349.0], [779.0, 2357.0]], ('CHANGE DUE', 0.9639474749565125)], [[[1397.0, 2278.0], [1569.0, 2278.0], [1569.0, 2353.0], [1397.0, 2353.0]], ('0.76', 0.9956618547439575)], [[[322.0, 2424.0], [1407.0, 2431.0], [1407.0, 2543.0], [321.0, 2536.0]], ('# ITEMS SOLD 5', 0.9133827090263367)], [[[331.0, 2618.0], [463.0, 2618.0], [463.0, 2696.0], [331.0, 2696.0]], ('TC#', 0.9970973134040833)], [[[720.0, 2628.0], [1407.0, 2628.0], [1407.0, 2686.0], [720.0, 2686.0]], ('894624140740631', 0.9951438307762146)], [[[447.0, 2886.0], [1424.0, 2897.0], [1423.0, 2965.0], [446.0, 2954.0]], ('Like" Walmart on Facebook', 0.9267532229423523)], [[[460.0, 2965.0], [1390.0, 2965.0], [1390.0, 3033.0], [460.0, 3033.0]], ('www.facebook.com/Walmart', 0.9889230132102966)], [[[501.0, 3026.0], [815.0, 3026.0], [815.0, 3097.0], [501.0, 3097.0]], ('07/04/12', 0.9931501150131226)], [[[996.0, 3025.0], [1316.0, 3033.0], [1315.0, 3105.0], [994.0, 3097.0]], ('13:13:15', 0.962715744972229)]]	{"store_name": "Walmart", "store_addr": "MARYSVILLEOH43040 555COLEMANSCROSSINGBLVD", "telephone": "(937)644-2800", "date": "07/04/12", "time": "13:13:15", "subtotal": "0.85", "tax": "0.39", "total": "1.24", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AFECW.8OZ", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "AFECW.8OZ", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "STPGASTRMT", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "CTRGRNVOTI", "item_value": "0.97", "item_quantity": "1"}, {"item_key": "", "item_name": "CTRGRNVOTI", "item_value": "0.97", "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	[[[[107.0, 7.0], [217.0, 7.0], [217.0, 20.0], [107.0, 20.0]], ('Flushing.NY1355', 0.9354642033576965)], [[[109.0, 14.0], [209.0, 15.0], [209.0, 29.0], [109.0, 28.0]], ('718762-0655', 0.8575363159179688)], [[[44.0, 30.0], [67.0, 38.0], [62.0, 53.0], [39.0, 45.0]], ('2', 0.9043241143226624)], [[[81.0, 36.0], [173.0, 36.0], [173.0, 48.0], [81.0, 48.0]], ('Server OwNER', 0.9015562534332275)], [[[196.0, 34.0], [253.0, 37.0], [253.0, 51.0], [196.0, 48.0]], ('Station:1', 0.942764163017273)], [[[36.0, 46.0], [67.0, 49.0], [65.0, 63.0], [35.0, 60.0]], ('TO', 0.8308327198028564)], [[[79.0, 56.0], [169.0, 56.0], [169.0, 70.0], [79.0, 70.0]], ('Order#31274', 0.9714562892913818)], [[[201.0, 57.0], [245.0, 57.0], [245.0, 71.0], [201.0, 71.0]], ('Dine In', 0.8980684876441956)], [[[116.0, 67.0], [179.0, 69.0], [179.0, 83.0], [115.0, 81.0]], ('TableB1', 0.9756223559379578)], [[[305.0, 68.0], [347.0, 74.0], [347.0, 88.0], [303.0, 82.0]], ('V41st A', 0.6850365996360779)], [[[78.0, 89.0], [171.0, 91.0], [171.0, 105.0], [78.0, 103.0]], ('1DIETCOKE', 0.8834967017173767)], [[[305.0, 80.0], [347.0, 88.0], [347.0, 106.0], [302.0, 98.0]], ('18-3', 0.9925290942192078)], [[[217.0, 91.0], [246.0, 91.0], [246.0, 106.0], [217.0, 106.0]], ('1.75', 0.9828557372093201)], [[[78.0, 103.0], [143.0, 101.0], [144.0, 115.0], [78.0, 117.0]], ('ILA', 0.759284496307373)], [[[84.0, 113.0], [201.0, 114.0], [201.0, 128.0], [84.0, 127.0]], ('BEEF SHORT RIBS', 0.9293085932731628)], [[[196.0, 104.0], [231.0, 104.0], [231.0, 115.0], [196.0, 115.0]], ('24.95', 0.9924700856208801)], [[[78.0, 126.0], [176.0, 126.0], [176.0, 138.0], [78.0, 138.0]], ('1NOODLE', 0.9399561285972595)], [[[217.0, 126.0], [252.0, 126.0], [252.0, 139.0], [217.0, 139.0]], ('12.95', 0.9768843650817871)], [[[83.0, 137.0], [205.0, 136.0], [205.0, 150.0], [83.0, 151.0]], ('SEAFOOD NOODLE', 0.9638099670410156)], [[[78.0, 148.0], [134.0, 148.0], [134.0, 162.0], [78.0, 162.0]], ('1', 0.8268569111824036)], [[[194.0, 148.0], [223.0, 148.0], [223.0, 163.0], [194.0, 163.0]], ('9.95', 0.9859486818313599)], [[[85.0, 162.0], [159.0, 162.0], [159.0, 173.0], [85.0, 173.0]], ('CHAMSOJU', 0.963660478591919)], [[[75.0, 185.0], [157.0, 185.0], [157.0, 198.0], [75.0, 198.0]], ('SUB TOTAL:', 0.943671703338623)], [[[214.0, 185.0], [250.0, 185.0], [250.0, 199.0], [214.0, 199.0]], ('49.60', 0.9961785078048706)], [[[75.0, 198.0], [119.0, 198.0], [119.0, 212.0], [75.0, 212.0]], ('Tax 1', 0.8796647787094116)], [[[194.0, 197.0], [223.0, 197.0], [223.0, 211.0], [194.0, 211.0]], ('AAI', 0.7591307759284973)], [[[73.0, 221.0], [126.0, 221.0], [126.0, 235.0], [73.0, 235.0]], ('TOTAL:', 0.915276050567627)], [[[195.0, 218.0], [239.0, 221.0], [238.0, 236.0], [194.0, 233.0]], ('$54.01', 0.9912278056144714)], [[[97.0, 246.0], [214.0, 246.0], [214.0, 259.0], [97.0, 259.0]], ('>Ticket#46', 0.9327975511550903)], [[[89.0, 259.0], [236.0, 258.0], [236.0, 272.0], [89.0, 273.0]], ('7/14/2017 10:44:47PM', 0.9525785446166992)], [[[74.0, 289.0], [143.0, 289.0], [143.0, 296.0], [74.0, 296.0]], ('.******', 0.5563763976097107)], [[[69.0, 299.0], [268.0, 297.0], [268.0, 309.0], [69.0, 311.0]], ('SOGONG DONG TOFU HOUSE', 0.9404996633529663)], [[[69.0, 324.0], [204.0, 320.0], [205.0, 337.0], [70.0, 341.0]], ('15%Gratuity=S7.94', 0.9644976258277893)]]	{"store_name": "", "store_addr": "Flushing:NY11355", "telephone": "(718)762-0655", "date": "7/14/2017", "time": "10:44:47PM", "subtotal": "49.60", "tax": "4.41", "total": "$54.01", "ignore": " ", "tips": "15%Gratuity=$7.94", "line_items": [{"item_key": "", "item_name": "BEEFSHORTRIBS", "item_value": "1.75", "item_quantity": "1"}, {"item_key": "", "item_name": "SEAFOODNOODLE", "item_value": "24.95", "item_quantity": "1"}, {"item_key": "", "item_name": "CHAMSOJU", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "9.95", "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	[[[[146.0, 119.0], [211.0, 119.0], [211.0, 130.0], [146.0, 130.0]], ('665800', 0.8600428104400635)], [[[105.0, 141.0], [246.0, 141.0], [246.0, 155.0], [105.0, 155.0]], ('Cracker Barrel Stare #333', 0.9124853610992432)], [[[140.0, 151.0], [218.0, 154.0], [217.0, 172.0], [139.0, 169.0]], ('Bel Air.', 0.8188872933387756)], [[[91.0, 167.0], [200.0, 168.0], [200.0, 182.0], [91.0, 181.0]], ('1371631 Darche1le', 0.9069692492485046)], [[[93.0, 194.0], [142.0, 194.0], [142.0, 208.0], [93.0, 208.0]], ('TBL234/1', 0.9827060699462891)], [[[172.0, 193.0], [217.0, 193.0], [217.0, 207.0], [172.0, 207.0]], ('8993', 0.9977384805679321)], [[[236.0, 193.0], [267.0, 193.0], [267.0, 208.0], [236.0, 208.0]], ('GST1', 0.8964184522628784)], [[[134.0, 206.0], [222.0, 206.0], [222.0, 218.0], [134.0, 218.0]], ('JUN2816819PM', 0.9480740427970886)], [[[104.0, 231.0], [190.0, 231.0], [190.0, 245.0], [104.0, 245.0]], ('1 ICED TEA SWEET', 0.9183179140090942)], [[[225.0, 231.0], [253.0, 231.0], [253.0, 246.0], [225.0, 246.0]], ('2.39', 0.9965236783027649)], [[[102.0, 245.0], [150.0, 245.0], [150.0, 260.0], [102.0, 260.0]], ('1FF CFC', 0.8995494842529297)], [[[225.0, 242.0], [255.0, 245.0], [253.0, 260.0], [224.0, 258.0]], ("66'6", 0.7706525921821594)], [[[113.0, 260.0], [138.0, 260.0], [138.0, 272.0], [113.0, 272.0]], ('FOOD', 0.9593141674995422)], [[[223.0, 257.0], [254.0, 259.0], [253.0, 275.0], [222.0, 272.0]], ('12.38', 0.9905408024787903)], [[[113.0, 273.0], [198.0, 273.0], [198.0, 287.0], [113.0, 287.0]], ('State&Local Tax', 0.9241173267364502)], [[[226.0, 273.0], [254.0, 273.0], [254.0, 288.0], [226.0, 288.0]], ('0.75', 0.9906667470932007)], [[[114.0, 289.0], [170.0, 289.0], [170.0, 300.0], [114.0, 300.0]], ('Amount Due', 0.9539179801940918)], [[[182.0, 287.0], [252.0, 287.0], [252.0, 301.0], [182.0, 301.0]], ('$13.13', 0.9984391331672668)], [[[122.0, 314.0], [243.0, 316.0], [243.0, 330.0], [122.0, 328.0]], ('Gratuity Not Included', 0.9696094989776611)]]	{"store_name": "CrackerBarrelStore#333", "store_addr": "BelAir,MO", "telephone": "1371631", "date": "JUN28'16", "time": "8:19PM", "subtotal": "", "tax": "0.75", "total": "$13.13", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ICEDTEASWEET", "item_value": "2.39", "item_quantity": "1"}, {"item_key": "", "item_name": "FFCFC", "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	[[[[139.0, 12.0], [194.0, 12.0], [194.0, 22.0], [139.0, 22.0]], ('92High Street', 0.9045918583869934)], [[[142.0, 3.0], [191.0, 3.0], [191.0, 13.0], [142.0, 13.0]], ('Panis Texas', 0.8587275147438049)], [[[140.0, 29.0], [190.0, 30.0], [189.0, 41.0], [140.0, 40.0]], ('Co Kilkenny', 0.813058614730835)], [[[147.0, 21.0], [186.0, 21.0], [186.0, 32.0], [147.0, 32.0]], ('Kilkenny', 0.9755055904388428)], [[[95.0, 61.0], [234.0, 62.0], [234.0, 76.0], [95.0, 75.0]], ('paristexas09@gmail.com', 0.9757053256034851)], [[[129.0, 52.0], [200.0, 52.0], [200.0, 63.0], [129.0, 63.0]], ('0567761822', 0.9967501759529114)], [[[69.0, 72.0], [257.0, 75.0], [256.0, 89.0], [69.0, 86.0]], ('www.facebook.com/ParistexasBar', 0.9906339645385742)], [[[113.0, 97.0], [193.0, 97.0], [193.0, 110.0], [113.0, 110.0]], ('Tansaction96946', 0.874621570110321)], [[[138.0, 107.0], [241.0, 107.0], [241.0, 121.0], [138.0, 121.0]], ('Date07Ap201521:36', 0.9487801790237427)], [[[145.0, 119.0], [191.0, 119.0], [191.0, 129.0], [145.0, 129.0]], ('Tll1', 0.7714759111404419)], [[[135.0, 147.0], [214.0, 147.0], [214.0, 160.0], [135.0, 160.0]], ('Table20Covers', 0.8887010812759399)], [[[137.0, 138.0], [214.0, 139.0], [213.0, 150.0], [137.0, 149.0]], ('Area Piano Room', 0.8796511292457581)], [[[119.0, 156.0], [228.0, 158.0], [228.0, 171.0], [119.0, 169.0]], ('Customer american ladies', 0.88377445936203)], [[[49.0, 186.0], [74.0, 186.0], [74.0, 197.0], [49.0, 197.0]], ('ITEM', 0.9947847127914429)], [[[48.0, 196.0], [121.0, 198.0], [120.0, 208.0], [48.0, 206.0]], ('Spiked Lemonade', 0.961219072341919)], [[[249.0, 199.0], [276.0, 199.0], [276.0, 210.0], [249.0, 210.0]], ('50', 0.9286096096038818)], [[[263.0, 190.0], [272.0, 190.0], [272.0, 198.0], [263.0, 198.0]], ('E', 0.6963385343551636)], [[[47.0, 206.0], [122.0, 208.0], [121.0, 219.0], [47.0, 217.0]], ('Crab Cake Staste', 0.8589133620262146)], [[[47.0, 216.0], [115.0, 218.0], [115.0, 229.0], [47.0, 227.0]], ('Seafod Nachos', 0.851037323474884)], [[[249.0, 209.0], [277.0, 209.0], [277.0, 220.0], [249.0, 220.0]], ('8.95', 0.9294893145561218)], [[[46.0, 225.0], [127.0, 228.0], [126.0, 242.0], [46.0, 239.0]], ('1 Scoop Ice Crean', 0.8064272403717041)], [[[250.0, 219.0], [277.0, 219.0], [277.0, 230.0], [250.0, 230.0]], ('8.25', 0.9666632413864136)], [[[250.0, 227.0], [277.0, 229.0], [276.0, 241.0], [249.0, 239.0]], ('1.95', 0.9548652172088623)], [[[185.0, 239.0], [220.0, 239.0], [220.0, 250.0], [185.0, 250.0]], ('TOTAL:', 0.9927640557289124)], [[[242.0, 239.0], [277.0, 239.0], [277.0, 250.0], [242.0, 250.0]], ('27.65', 0.9939466714859009)], [[[140.0, 258.0], [186.0, 260.0], [185.0, 271.0], [140.0, 269.0]], ('Thank You', 0.9419692158699036)], [[[127.0, 269.0], [199.0, 271.0], [199.0, 282.0], [126.0, 280.0]], ('Flease Call Aain', 0.8622451424598694)], [[[44.0, 290.0], [108.0, 292.0], [108.0, 305.0], [44.0, 303.0]], ('Bill Summary', 0.9619407653808594)], [[[43.0, 303.0], [69.0, 303.0], [69.0, 314.0], [43.0, 314.0]], ('Drink', 0.997761607170105)], [[[248.0, 313.0], [281.0, 316.0], [280.0, 330.0], [247.0, 327.0]], ('19.15', 0.9881966710090637)], [[[252.0, 304.0], [280.0, 304.0], [280.0, 315.0], [252.0, 315.0]], ('8.50', 0.9506633281707764)], [[[42.0, 314.0], [66.0, 314.0], [66.0, 325.0], [42.0, 325.0]], ('Food', 0.9929578304290771)], [[[40.0, 345.0], [111.0, 348.0], [111.0, 361.0], [40.0, 358.0]], ('VAT Summary', 0.9572522640228271)], [[[199.0, 349.0], [220.0, 349.0], [220.0, 361.0], [199.0, 361.0]], ('VAT', 0.9937497973442078)], [[[242.0, 346.0], [285.0, 349.0], [284.0, 363.0], [241.0, 360.0]], ('Inc VAT', 0.9199230074882507)], [[[40.0, 360.0], [65.0, 360.0], [65.0, 371.0], [40.0, 371.0]], ('Food', 0.9969617128372192)], [[[191.0, 358.0], [219.0, 361.0], [218.0, 373.0], [190.0, 370.0]], ('1.58', 0.9664016366004944)], [[[191.0, 370.0], [219.0, 373.0], [218.0, 385.0], [190.0, 382.0]], ('1.59', 0.9817540645599365)], [[[249.0, 361.0], [282.0, 361.0], [282.0, 375.0], [249.0, 375.0]], ('19.15', 0.9944915771484375)], [[[40.0, 372.0], [97.0, 372.0], [97.0, 383.0], [40.0, 383.0]], ('Bey/Tobacco', 0.875406801700592)], [[[40.0, 381.0], [65.0, 384.0], [63.0, 396.0], [39.0, 393.0]], ('Total', 0.9894140958786011)], [[[249.0, 381.0], [285.0, 384.0], [284.0, 398.0], [248.0, 395.0]], ('27.65', 0.9765483140945435)], [[[254.0, 372.0], [283.0, 372.0], [283.0, 386.0], [254.0, 386.0]], ('8.50', 0.9446772933006287)], [[[191.0, 383.0], [220.0, 383.0], [220.0, 397.0], [191.0, 397.0]], ('3.17', 0.9882279634475708)], [[[92.0, 405.0], [231.0, 407.0], [231.0, 421.0], [92.0, 419.0]], ('Powered by iControl Hospitality', 0.9228262305259705)], [[[71.0, 417.0], [255.0, 420.0], [255.0, 434.0], [71.0, 431.0]], ('+44 330.010.1000 www.controlepo5.com', 0.8866328001022339)]]	{"store_name": "", "store_addr": "92HighStreet", "telephone": "0567761822", "date": "07Apr2015", "time": "21:36", "subtotal": "", "tax": "\u20ac1.58 \u20ac1.59 \u20ac3.17", "total": "\u20ac27.65 Total \u20ac27.65", "ignore": " ", "tips": "", "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	[[[[49.0, 41.0], [103.0, 41.0], [103.0, 52.0], [49.0, 52.0]], ('Sheetz#527', 0.9572067260742188)], [[[48.0, 56.0], [158.0, 58.0], [158.0, 73.0], [48.0, 71.0]], ('Mechanicsburg.PA 17050', 0.9081605672836304)], [[[49.0, 48.0], [150.0, 49.0], [150.0, 60.0], [49.0, 59.0]], ('5201 Slapson Ferry.Rd', 0.9027497172355652)], [[[49.0, 69.0], [117.0, 69.0], [117.0, 79.0], [49.0, 79.0]], ('717790-9133', 0.9866489171981812)], [[[93.0, 73.0], [201.0, 78.0], [200.0, 96.0], [92.0, 90.0]], ('11/11/201510:15:59AM', 0.8295818567276001)], [[[120.0, 86.0], [168.0, 91.0], [167.0, 103.0], [118.0, 99.0]], ('CSS inside', 0.8855779767036438)], [[[49.0, 105.0], [112.0, 105.0], [112.0, 117.0], [49.0, 117.0]], ('Order Nmber:', 0.8935811519622803)], [[[122.0, 98.0], [142.0, 98.0], [142.0, 118.0], [122.0, 118.0]], ('842', 0.9930056929588318)], [[[46.0, 115.0], [104.0, 118.0], [104.0, 132.0], [46.0, 130.0]], ('Register:3', 0.9193031191825867)], [[[64.0, 129.0], [106.0, 129.0], [106.0, 141.0], [64.0, 141.0]], ('Turkey 6"', 0.8961338400840759)], [[[71.0, 137.0], [127.0, 140.0], [127.0, 151.0], [71.0, 149.0]], ('Amer ican', 0.8892806172370911)], [[[209.0, 128.0], [238.0, 128.0], [238.0, 140.0], [209.0, 140.0]], ('$2.19', 0.9707709550857544)], [[[62.0, 149.0], [131.0, 149.0], [131.0, 160.0], [62.0, 160.0]], ('Regular Drink', 0.9516898393630981)], [[[192.0, 140.0], [220.0, 140.0], [220.0, 151.0], [192.0, 151.0]], ('$0.80', 0.9850870370864868)], [[[209.0, 147.0], [239.0, 147.0], [239.0, 160.0], [209.0, 160.0]], ('660$', 0.9481229782104492)], [[[62.0, 157.0], [146.0, 157.0], [146.0, 171.0], [62.0, 171.0]], ('Veterans Day 2015', 0.9653912782669067)], [[[209.0, 157.0], [239.0, 157.0], [239.0, 171.0], [209.0, 171.0]], ('86$', 0.6933529376983643)], [[[62.0, 168.0], [119.0, 170.0], [118.0, 185.0], [61.0, 182.0]], ('Sub.Total', 0.9517430067062378)], [[[211.0, 170.0], [238.0, 170.0], [238.0, 181.0], [211.0, 181.0]], ('$0.00', 0.991009533405304)], [[[64.0, 182.0], [122.0, 182.0], [122.0, 193.0], [64.0, 193.0]], ('Wire less Fee', 0.8799892067909241)], [[[211.0, 180.0], [239.0, 180.0], [239.0, 192.0], [211.0, 192.0]], ("00'0$", 0.8441816568374634)], [[[64.0, 191.0], [108.0, 191.0], [108.0, 202.0], [64.0, 202.0]], ('Sales Tax', 0.9423062205314636)], [[[211.0, 190.0], [239.0, 190.0], [239.0, 202.0], [211.0, 202.0]], ('$0.00', 0.9968857765197754)], [[[64.0, 201.0], [101.0, 201.0], [101.0, 211.0], [64.0, 211.0]], ('Total:.', 0.8427314162254333)], [[[211.0, 199.0], [239.0, 199.0], [239.0, 211.0], [211.0, 211.0]], ('$0.00', 0.9972290992736816)], [[[64.0, 212.0], [135.0, 212.0], [135.0, 224.0], [64.0, 224.0]], ('Discount Total:', 0.9147559404373169)], [[[209.0, 210.0], [241.0, 210.0], [241.0, 225.0], [209.0, 225.0]], ('$3.98', 0.9862362742424011)], [[[62.0, 223.0], [146.0, 224.0], [146.0, 239.0], [61.0, 237.0]], ('Exact Change -Ca', 0.9006911516189575)], [[[210.0, 224.0], [240.0, 221.0], [241.0, 237.0], [211.0, 240.0]], ('$0.00', 0.9825387001037598)], [[[64.0, 236.0], [95.0, 236.0], [95.0, 248.0], [64.0, 248.0]], ('Change', 0.9932341575622559)], [[[212.0, 235.0], [240.0, 235.0], [240.0, 247.0], [212.0, 247.0]], ('$0.00', 0.997513473033905)], [[[90.0, 265.0], [197.0, 265.0], [197.0, 279.0], [90.0, 279.0]], ('Ne want your feedback', 0.9044938087463379)], [[[86.0, 275.0], [202.0, 275.0], [202.0, 289.0], [86.0, 289.0]], ('Tell us about your visit', 0.9003553986549377)], [[[85.0, 285.0], [203.0, 285.0], [203.0, 299.0], [85.0, 299.0]], ('for your chance to win a', 0.9669396877288818)], [[[126.0, 294.0], [162.0, 294.0], [162.0, 318.0], [126.0, 318.0]], ('$1,000', 0.9880765080451965)], [[[65.0, 324.0], [217.0, 326.0], [217.0, 340.0], [65.0, 337.0]], ('5inners selected every month!', 0.923941969871521)], [[[50.0, 337.0], [238.0, 341.0], [237.0, 358.0], [50.0, 355.0]], ('To participate and for complete rules', 0.9242584705352783)], [[[89.0, 360.0], [196.0, 363.0], [196.0, 377.0], [88.0, 375.0]], ('www.sheetzlistens.com', 0.8664490580558777)], [[[127.0, 353.0], [157.0, 353.0], [157.0, 365.0], [127.0, 365.0]], ('0106', 0.8334892392158508)], [[[47.0, 374.0], [172.0, 376.0], [172.0, 390.0], [47.0, 387.0]], ('Inv1tation Code:1231842', 0.900239884853363)], [[[167.0, 376.0], [198.0, 376.0], [198.0, 391.0], [167.0, 391.0]], ('527', 0.9812453389167786)]]	{"store_name": "Sheetz#527", "store_addr": "5201SimpsonFerryRd Mechanicsburg,PA17050", "telephone": "(717)790-9133", "date": "11/11/2015", "time": "10:15:59AM", "subtotal": "$0.00", "tax": "$0.00", "total": "$0.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Turkey6''", "item_value": "$2.19", "item_quantity": "1"}, {"item_key": "", "item_name": "American", "item_value": "$0.80", "item_quantity": "1"}, {"item_key": "", "item_name": "RegularDrink", "item_value": "$0.99", "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	[[[[312.0, 12.0], [389.0, 16.0], [388.0, 38.0], [311.0, 34.0]], ('SHIZEN', 0.9981757998466492)], [[[275.0, 34.0], [411.0, 41.0], [409.0, 62.0], [274.0, 55.0]], ('370 14th ST', 0.9296297430992126)], [[[199.0, 53.0], [496.0, 69.0], [494.0, 94.0], [198.0, 78.0]], ('SAN FRANCISCOCA94103', 0.9617375135421753)], [[[233.0, 82.0], [447.0, 92.0], [446.0, 117.0], [232.0, 107.0]], ('ph 415678-5767', 0.9560533165931702)], [[[270.0, 142.0], [408.0, 148.0], [407.0, 173.0], [269.0, 167.0]], ('Guest Check', 0.9647811651229858)], [[[208.0, 172.0], [480.0, 184.0], [479.0, 209.0], [207.0, 197.0]], ('Thank You for Visiting', 0.94292813539505)], [[[207.0, 235.0], [478.0, 245.0], [477.0, 270.0], [206.0, 260.0]], ('TABLE:C4:2-3Guests', 0.9330230355262756)], [[[205.0, 268.0], [466.0, 277.0], [466.0, 302.0], [204.0, 293.0]], ('Your Server was Nomin', 0.9460742473602295)], [[[117.0, 297.0], [563.0, 312.0], [562.0, 337.0], [116.0, 322.0]], ('1/29/20159:07:29PM-ID#0056218', 0.9603931903839111)], [[[75.0, 357.0], [132.0, 357.0], [132.0, 385.0], [75.0, 385.0]], ('ITEM', 0.9980655312538147)], [[[458.0, 367.0], [503.0, 370.0], [501.0, 399.0], [456.0, 396.0]], ('QTY', 0.9973569512367249)], [[[533.0, 372.0], [600.0, 377.0], [598.0, 404.0], [531.0, 400.0]], ('PRICE', 0.9987362027168274)], [[[77.0, 419.0], [360.0, 431.0], [359.0, 456.0], [77.0, 444.0]], ('Spicy Garlic Miso Ramen', 0.9548062086105347)], [[[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', 0.9535539150238037)], [[[77.0, 451.0], [264.0, 458.0], [263.0, 483.0], [77.0, 476.0]], ('Choice of Three', 0.9519957304000854)], [[[517.0, 466.0], [595.0, 471.0], [594.0, 497.0], [516.0, 492.0]], ('$15.00', 0.9980049729347229)], [[[140.0, 484.0], [297.0, 489.0], [296.0, 514.0], [139.0, 509.0]], ('Open Discount', 0.9650463461875916)], [[[509.0, 498.0], [589.0, 501.0], [588.0, 528.0], [507.0, 525.0]], ('$5.00', 0.9960529208183289)], [[[77.0, 512.0], [262.0, 519.0], [261.0, 543.0], [77.0, 536.0]], ('Open Invitation', 0.9725260138511658)], [[[464.0, 529.0], [481.0, 529.0], [481.0, 552.0], [464.0, 552.0]], ('1', 0.9839184284210205)], [[[514.0, 530.0], [591.0, 533.0], [590.0, 559.0], [513.0, 556.0]], ('$13.00', 0.9974028468132019)], [[[78.0, 542.0], [235.0, 548.0], [234.0, 573.0], [78.0, 567.0]], ('Body and Soul', 0.9298579096794128)], [[[462.0, 560.0], [479.0, 560.0], [479.0, 584.0], [462.0, 584.0]], ('1', 0.9863132238388062)], [[[513.0, 561.0], [590.0, 564.0], [589.0, 590.0], [512.0, 587.0]], ('$11.00', 0.9968400597572327)], [[[79.0, 572.0], [248.0, 580.0], [246.0, 605.0], [78.0, 597.0]], ('Suprise Ending', 0.962822437286377)], [[[463.0, 593.0], [478.0, 593.0], [478.0, 615.0], [463.0, 615.0]], ('1', 0.977763295173645)], [[[510.0, 592.0], [588.0, 595.0], [587.0, 621.0], [510.0, 618.0]], ('$13.00', 0.998335063457489)], [[[79.0, 602.0], [255.0, 609.0], [254.0, 634.0], [78.0, 627.0]], ('Sapporo (Draft)', 0.9117716550827026)], [[[367.0, 616.0], [473.0, 622.0], [471.0, 648.0], [365.0, 642.0]], ('2@$5.50', 0.9928910136222839)], [[[78.0, 631.0], [189.0, 637.0], [188.0, 663.0], [76.0, 657.0]], ('Open Food', 0.9556360244750977)], [[[511.0, 623.0], [587.0, 626.0], [586.0, 652.0], [509.0, 649.0]], ('$11.00', 0.9958847165107727)], [[[458.0, 654.0], [475.0, 654.0], [475.0, 679.0], [458.0, 679.0]], ('1', 0.9905356764793396)], [[[520.0, 655.0], [586.0, 658.0], [585.0, 684.0], [519.0, 681.0]], ('$6.00', 0.9975019693374634)], [[[253.0, 699.0], [347.0, 708.0], [344.0, 735.0], [250.0, 726.0]], ('Subtotal', 0.9964674711227417)], [[[504.0, 715.0], [583.0, 719.0], [582.0, 745.0], [503.0, 741.0]], ('$76.00', 0.9971298575401306)], [[[244.0, 731.0], [408.0, 747.0], [405.0, 772.0], [241.0, 756.0]], ('Tkt.Discounts', 0.9894241094589233)], [[[497.0, 747.0], [578.0, 749.0], [577.0, 775.0], [496.0, 773.0]], ('$5.00', 0.996235191822052)], [[[253.0, 762.0], [383.0, 776.0], [380.0, 801.0], [250.0, 787.0]], ('Total Taxes', 0.9636585712432861)], [[[515.0, 778.0], [580.0, 781.0], [579.0, 808.0], [514.0, 805.0]], ('$6.45', 0.9961074590682983)], [[[248.0, 821.0], [379.0, 835.0], [376.0, 863.0], [245.0, 849.0]], ('Grand Total', 0.9390642046928406)], [[[499.0, 838.0], [578.0, 841.0], [577.0, 867.0], [498.0, 864.0]], ('$82.45', 0.9968406558036804)], [[[248.0, 853.0], [377.0, 867.0], [374.0, 894.0], [245.0, 879.0]], ('Amount Due:', 0.9479466080665588)], [[[497.0, 868.0], [574.0, 871.0], [574.0, 897.0], [496.0, 895.0]], ('$82.45', 0.9969344139099121)], [[[209.0, 906.0], [412.0, 924.0], [409.0, 956.0], [207.0, 939.0]], ('Please Come Back!', 0.9395182132720947)], [[[243.0, 943.0], [377.0, 955.0], [374.0, 984.0], [240.0, 972.0]], ('Guest Check', 0.9721353650093079)]]	{"store_name": "SHIZEN", "store_addr": "37014thST SANFRANCISCO,CA94103", "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": "SpicyGarlicMisoRamen", "item_value": "$12.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ChoiceofThree", "item_value": "$15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OpenInvitation", "item_value": "$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BodyandSoul", "item_value": "$11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SupriseEnding", "item_value": "$13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sapporo(Draft)", "item_value": "$11.00", "item_quantity": "1"}, {"item_key": "", "item_name": "OpenFood", "item_value": "$6.00", "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	[[[[101.0, 96.0], [235.0, 114.0], [233.0, 127.0], [99.0, 109.0]], ('KTCHN Restaurant', 0.939889669418335)], [[[137.0, 111.0], [207.0, 120.0], [205.0, 133.0], [136.0, 124.0]], ('508West 42nd 5t', 0.8654714822769165)], [[[130.0, 122.0], [209.0, 130.0], [208.0, 143.0], [129.0, 135.0]], ('Neu YorkNY10036', 0.8447047472000122)], [[[142.0, 133.0], [197.0, 140.0], [196.0, 154.0], [141.0, 147.0]], ('212.868.2999', 0.8918464183807373)], [[[141.0, 144.0], [196.0, 151.0], [195.0, 165.0], [140.0, 158.0]], ('ktchnnyc.cce', 0.8943883776664734)], [[[83.0, 160.0], [140.0, 165.0], [139.0, 179.0], [82.0, 174.0]], ('202 Mige L', 0.7724729776382446)], [[[79.0, 181.0], [119.0, 185.0], [117.0, 199.0], [77.0, 195.0]], ('Tb1C2/1', 0.8679397702217102)], [[[147.0, 186.0], [186.0, 190.0], [184.0, 204.0], [146.0, 200.0]], ('k9941', 0.9343876838684082)], [[[129.0, 197.0], [203.0, 201.0], [202.0, 214.0], [128.0, 210.0]], ('WI-01.ZZON', 0.5704736709594727)], [[[220.0, 191.0], [250.0, 194.0], [249.0, 208.0], [219.0, 206.0]], ('Gst1', 0.8735755085945129)], [[[131.0, 207.0], [201.0, 212.0], [200.0, 225.0], [130.0, 220.0]], (' Reprint ', 0.8681439757347107)], [[[82.0, 225.0], [159.0, 230.0], [158.0, 244.0], [81.0, 239.0]], ('2 Rioja Glass', 0.8206806182861328)], [[[82.0, 236.0], [137.0, 240.0], [136.0, 254.0], [81.0, 250.0]], ('1 Espresso', 0.9482966661453247)], [[[215.0, 233.0], [240.0, 233.0], [240.0, 245.0], [215.0, 245.0]], ('28.00', 0.9572182893753052)], [[[82.0, 249.0], [132.0, 252.0], [131.0, 263.0], [81.0, 260.0]], ('1L Burger', 0.9132925868034363)], [[[209.0, 243.0], [243.0, 243.0], [243.0, 257.0], [209.0, 257.0]], ('4.00', 0.9841623902320862)], [[[81.0, 259.0], [151.0, 262.0], [150.0, 276.0], [80.0, 273.0]], ('1 BYOOnelette', 0.8886493444442749)], [[[216.0, 252.0], [243.0, 255.0], [242.0, 269.0], [215.0, 266.0]], ('18.00', 0.9713196754455566)], [[[91.0, 272.0], [114.0, 272.0], [114.0, 284.0], [91.0, 284.0]], ('20%', 0.9657325744628906)], [[[217.0, 263.0], [253.0, 267.0], [252.0, 281.0], [216.0, 277.0]], ('16.00', 0.9520998001098633)], [[[89.0, 282.0], [151.0, 285.0], [150.0, 300.0], [88.0, 296.0]], ('20% gratuity', 0.9449653029441833)], [[[218.0, 285.0], [245.0, 288.0], [244.0, 302.0], [217.0, 299.0]], ('13.20', 0.9905069470405579)], [[[5.0, 299.0], [16.0, 299.0], [16.0, 307.0], [5.0, 307.0]], ('EE', 0.5659815073013306)], [[[88.0, 306.0], [131.0, 306.0], [131.0, 320.0], [88.0, 320.0]], ('Subtotal', 0.93239426612854)], [[[89.0, 318.0], [109.0, 321.0], [107.0, 334.0], [87.0, 331.0]], ('Tax', 0.9904481768608093)], [[[220.0, 309.0], [247.0, 309.0], [247.0, 322.0], [220.0, 322.0]], ('66.00', 0.9410584568977356)], [[[223.0, 318.0], [247.0, 321.0], [246.0, 336.0], [221.0, 333.0]], ('5.86', 0.9504110813140869)], [[[86.0, 332.0], [131.0, 332.0], [131.0, 347.0], [86.0, 347.0]], ('Grat/Svc', 0.8662647008895874)], [[[221.0, 332.0], [247.0, 332.0], [247.0, 348.0], [221.0, 348.0]], ('13.20', 0.9876680374145508)], [[[65.0, 347.0], [150.0, 347.0], [150.0, 360.0], [65.0, 360.0]], ('04:06PM Tota1 Du', 0.86884605884552)], [[[199.0, 347.0], [248.0, 347.0], [248.0, 361.0], [199.0, 361.0]], ('85.06', 0.9976495504379272)], [[[201.0, 359.0], [279.0, 356.0], [280.0, 373.0], [202.0, 375.0]], ('Thank You', 0.9748398661613464)]]	{"store_name": "KTCHNRestaurant", "store_addr": "508West42ndSt", "telephone": "212.868.2999", "date": "Ncv22'14", "time": "04:06PM", "subtotal": "66.00", "tax": "5.86", "total": "85.06", "ignore": " ", "tips": "13.20", "line_items": [{"item_key": "", "item_name": "RlojaGlassgl", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Espresso", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LBurger", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BYDOnelette", "item_value": "16.00", "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	[[[[88.0, 18.0], [161.0, 21.0], [160.0, 36.0], [87.0, 33.0]], ('Wet n wild', 0.843741774559021)], [[[81.0, 48.0], [158.0, 45.0], [158.0, 59.0], [82.0, 62.0]], ('Davey Jones', 0.9526947140693665)], [[[96.0, 62.0], [146.0, 62.0], [146.0, 73.0], [96.0, 73.0]], ('Kiosk 4', 0.92488032579422)], [[[59.0, 145.0], [176.0, 145.0], [176.0, 159.0], [59.0, 159.0]], ('Best LockersLLC', 0.9665257334709167)], [[[62.0, 158.0], [173.0, 159.0], [173.0, 173.0], [62.0, 172.0]], ('9104 Guilford Rd', 0.9057589769363403)], [[[91.0, 174.0], [144.0, 174.0], [144.0, 188.0], [91.0, 188.0]], ('Suite K', 0.8997653722763062)], [[[51.0, 186.0], [184.0, 188.0], [184.0, 205.0], [51.0, 203.0]], ('Columbia,MD 21045', 0.9164765477180481)], [[[103.0, 203.0], [130.0, 203.0], [130.0, 218.0], [103.0, 218.0]], ('USA', 0.9953417778015137)], [[[53.0, 228.0], [179.0, 230.0], [179.0, 247.0], [53.0, 245.0]], ('Your locker number', 0.9339134693145752)], [[[89.0, 245.0], [146.0, 245.0], [146.0, 259.0], [89.0, 259.0]], ('is1255', 0.9906039237976074)], [[[44.0, 274.0], [83.0, 274.0], [83.0, 288.0], [44.0, 288.0]], ('Items', 0.9962190389633179)], [[[154.0, 275.0], [185.0, 272.0], [186.0, 286.0], [155.0, 289.0]], ('Cost', 0.9906027913093567)], [[[43.0, 288.0], [124.0, 288.0], [124.0, 302.0], [43.0, 302.0]], ('1 Locker JM', 0.8950114846229553)], [[[142.0, 288.0], [187.0, 288.0], [187.0, 302.0], [142.0, 302.0]], ('$20.00', 0.9931336045265198)], [[[43.0, 304.0], [120.0, 304.0], [120.0, 318.0], [43.0, 318.0]], ('Total Paid', 0.9475321769714355)], [[[142.0, 302.0], [187.0, 302.0], [187.0, 316.0], [142.0, 316.0]], ('$20.00', 0.9944589734077454)], [[[41.0, 319.0], [89.0, 319.0], [89.0, 333.0], [41.0, 333.0]], ('COUPON', 0.9973252415657043)], [[[43.0, 350.0], [176.0, 344.0], [176.0, 360.0], [43.0, 366.0]], ('Protect Your Code', 0.9653924107551575)], [[[42.0, 364.0], [183.0, 358.0], [184.0, 378.0], [43.0, 384.0]], ('To open locker key', 0.9337503910064697)], [[[57.0, 381.0], [169.0, 375.0], [170.0, 392.0], [58.0, 398.0]], ('in your 4 digit', 0.9427683353424072)], [[[56.0, 397.0], [169.0, 390.0], [170.0, 409.0], [57.0, 415.0]], ('access code and', 0.965351402759552)], [[[70.0, 414.0], [155.0, 405.0], [157.0, 424.0], [72.0, 433.0]], ('press ENTER', 0.9713954329490662)]]	{"store_name": "BestLockers,LLC GoPodLockerRental", "store_addr": "USA Columbia,MD21045 SuiteK 9104GuilfordRd", "telephone": "", "date": "05/27/2017", "time": "01:10PM", "subtotal": "", "tax": "", "total": "$20.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "LockerJM", "item_value": "$20.00", "item_quantity": "1"}, {"item_key": "Items", "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	[[[[110.0, 0.0], [178.0, 0.0], [178.0, 19.0], [111.0, 21.0]], ('oasira', 0.8929789066314697)], [[[123.0, 34.0], [166.0, 34.0], [166.0, 48.0], [123.0, 48.0]], ('DASIRIA', 0.9485648274421692)], [[[45.0, 46.0], [245.0, 39.0], [246.0, 59.0], [45.0, 67.0]], ('Pt.450002066071C19983', 0.6113297343254089)], [[[44.0, 69.0], [250.0, 64.0], [250.0, 81.0], [44.0, 87.0]], ('624380438Fax05243804G', 0.8162243962287903)], [[[34.0, 91.0], [256.0, 87.0], [256.0, 104.0], [35.0, 109.0]], ('0908-1413:03130A11Q00028', 0.7862111926078796)], [[[219.0, 119.0], [257.0, 122.0], [255.0, 141.0], [217.0, 138.0]], ('100.00', 0.9342479109764099)], [[[32.0, 146.0], [69.0, 146.0], [69.0, 165.0], [32.0, 165.0]], ('3.00X', 0.6774593591690063)], [[[100.0, 146.0], [131.0, 146.0], [131.0, 165.0], [100.0, 165.0]], ('20.00', 0.9242978096008301)], [[[223.0, 146.0], [256.0, 146.0], [256.0, 165.0], [223.0, 165.0]], ('40.00', 0.7759361863136292)], [[[59.0, 159.0], [93.0, 162.0], [92.0, 176.0], [58.0, 173.0]], ('fosaga', 0.8280314803123474)], [[[33.0, 170.0], [58.0, 170.0], [58.0, 186.0], [33.0, 186.0]], ('2.00', 0.9709437489509583)], [[[105.0, 171.0], [130.0, 171.0], [130.0, 187.0], [105.0, 187.0]], ('5.00', 0.9566911458969116)], [[[222.0, 167.0], [257.0, 170.0], [255.0, 189.0], [220.0, 186.0]], ('10,00', 0.9166962504386902)], [[[30.0, 181.0], [88.0, 179.0], [89.0, 197.0], [31.0, 199.0]], ("Pom's33c", 0.6955927610397339)], [[[31.0, 193.0], [68.0, 193.0], [68.0, 208.0], [31.0, 208.0]], ('2.00', 0.8805584907531738)], [[[99.0, 192.0], [130.0, 192.0], [130.0, 208.0], [99.0, 208.0]], ('20.00', 0.9033824801445007)], [[[29.0, 202.0], [57.0, 205.0], [55.0, 220.0], [28.0, 217.0]], ('Spo', 0.5153911709785461)], [[[223.0, 194.0], [254.0, 194.0], [254.0, 210.0], [223.0, 210.0]], ('40.03', 0.8346565365791321)], [[[28.0, 214.0], [118.0, 218.0], [117.0, 232.0], [27.0, 228.0]], ('Forsule Hnbuger', 0.8541978001594543)], [[[52.0, 206.0], [93.0, 206.0], [93.0, 220.0], [52.0, 220.0]], ('tomage', 0.7253747582435608)], [[[26.0, 227.0], [58.0, 227.0], [58.0, 242.0], [26.0, 242.0]], ('Frite', 0.9950261116027832)], [[[24.0, 237.0], [123.0, 237.0], [123.0, 254.0], [24.0, 254.0]], ('Fanta citren 33c', 0.8877821564674377)], [[[23.0, 262.0], [83.0, 262.0], [83.0, 276.0], [23.0, 276.0]], ('IVA10.00%', 0.8937250971794128)], [[[107.0, 263.0], [147.0, 263.0], [147.0, 278.0], [107.0, 278.0]], ('259.09', 0.9127469062805176)], [[[171.0, 261.0], [204.0, 261.0], [204.0, 280.0], [171.0, 280.0]], ('25.91', 0.9305591583251953)], [[[21.0, 274.0], [82.0, 274.0], [82.0, 291.0], [21.0, 291.0]], ('SOUS-TOTAL', 0.978951096534729)], [[[18.0, 298.0], [128.0, 302.0], [128.0, 319.0], [18.0, 315.0]], ('RECEPTIONNE espece', 0.8373904824256897)], [[[19.0, 315.0], [64.0, 315.0], [64.0, 330.0], [19.0, 330.0]], ('MONNAIE', 0.894927442073822)], [[[93.0, 340.0], [192.0, 340.0], [192.0, 358.0], [93.0, 358.0]], ('3 Boissons 33 C1', 0.8125101923942566)], [[[116.0, 357.0], [170.0, 357.0], [170.0, 371.0], [116.0, 371.0]], ('3.Enites', 0.7862829566001892)], [[[92.0, 367.0], [193.0, 370.0], [192.0, 387.0], [92.0, 385.0]], ('3 Formule Burger', 0.888491153717041)], [[[104.0, 384.0], [182.0, 384.0], [182.0, 401.0], [104.0, 401.0]], ('3 Supplecent', 0.8210602402687073)]]	{"store_name": "oasiria", "store_addr": "", "telephone": "0624380438", "date": "08-08-14", "time": "", "subtotal": "", "tax": "25.91", "total": "285.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Frite", "item_value": "100.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Pom's33cl", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Soapfomage", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Frite", "item_value": "40.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Fantacitron33cl", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[48.0, 168.0], [176.0, 168.0], [176.0, 181.0], [48.0, 181.0]], ('DARTNOUTH BOOKSTORE.INC.', 0.9101638793945312)], [[[56.0, 179.0], [162.0, 179.0], [162.0, 191.0], [56.0, 191.0]], ('33 SOUTH MAIN STREET', 0.9272164106369019)], [[[63.0, 189.0], [158.0, 189.0], [158.0, 202.0], [63.0, 202.0]], ('HANOVER,NH 03755', 0.916740894317627)], [[[79.0, 201.0], [142.0, 201.0], [142.0, 211.0], [79.0, 211.0]], ('603-643-3616', 0.9887639880180359)], [[[17.0, 221.0], [36.0, 221.0], [36.0, 233.0], [17.0, 233.0]], ('OTY', 0.8204245567321777)], [[[67.0, 221.0], [106.0, 221.0], [106.0, 232.0], [67.0, 232.0]], ('PRODUCT', 0.9808314442634583)], [[[143.0, 221.0], [168.0, 221.0], [168.0, 233.0], [143.0, 233.0]], ('DEPT', 0.9892488718032837)], [[[182.0, 220.0], [213.0, 222.0], [212.0, 233.0], [181.0, 231.0]], ('PRICE', 0.9961968660354614)], [[[45.0, 242.0], [168.0, 242.0], [168.0, 255.0], [45.0, 255.0]], ('WITH LOVE AND S0U211100', 0.9086629748344421)], [[[180.0, 242.0], [208.0, 242.0], [208.0, 253.0], [180.0, 253.0]], ('12.95', 0.9836251139640808)], [[[44.0, 260.0], [168.0, 262.0], [167.0, 274.0], [44.0, 273.0]], ('DREAMS OF BEINS E080500', 0.8526286482810974)], [[[59.0, 253.0], [126.0, 253.0], [126.0, 263.0], [59.0, 263.0]], ('5ZYDISCOUNT', 0.9162389636039734)], [[[191.0, 253.0], [213.0, 253.0], [213.0, 263.0], [191.0, 263.0]], ('.65-', 0.9497605562210083)], [[[179.0, 263.0], [210.0, 263.0], [210.0, 274.0], [179.0, 274.0]], ('13.00', 0.9935718774795532)], [[[59.0, 273.0], [127.0, 273.0], [127.0, 284.0], [59.0, 284.0]], ('5ZYDISCOUNT', 0.918421745300293)], [[[192.0, 273.0], [213.0, 273.0], [213.0, 285.0], [192.0, 285.0]], ('.65-', 0.9340246915817261)], [[[59.0, 293.0], [113.0, 295.0], [113.0, 306.0], [58.0, 304.0]], ('TOTAL SALE', 0.9494084119796753)], [[[177.0, 295.0], [210.0, 295.0], [210.0, 306.0], [177.0, 306.0]], ('$25.95', 0.9895721077919006)], [[[66.0, 306.0], [114.0, 306.0], [114.0, 316.0], [66.0, 316.0]], ('MDISCOUNT', 0.9517340064048767)], [[[175.0, 314.0], [211.0, 317.0], [210.0, 331.0], [174.0, 328.0]], ('$24.65', 0.979907751083374)], [[[177.0, 305.0], [214.0, 305.0], [214.0, 319.0], [177.0, 319.0]], ('$1.30-', 0.955254852771759)], [[[17.0, 316.0], [48.0, 316.0], [48.0, 327.0], [17.0, 327.0]], ('70217', 0.9971574544906616)], [[[59.0, 317.0], [103.0, 317.0], [103.0, 328.0], [59.0, 328.0]], ('NET SALE', 0.9570794105529785)], [[[27.0, 347.0], [37.0, 347.0], [37.0, 357.0], [27.0, 357.0]], ('2', 0.9462987184524536)], [[[57.0, 344.0], [126.0, 347.0], [126.0, 360.0], [56.0, 358.0]], ('CHARGE ANOUNT', 0.9119393229484558)], [[[173.0, 345.0], [209.0, 348.0], [208.0, 361.0], [172.0, 359.0]], ('$24.65', 0.9578911662101746)], [[[16.0, 386.0], [168.0, 388.0], [167.0, 402.0], [16.0, 400.0]], ('CUSTOMERS SIGNATURE REQUIRED', 0.9446510672569275)], [[[34.0, 450.0], [152.0, 451.0], [152.0, 465.0], [34.0, 464.0]], ('SALINGER,JD & COLLEEN', 0.9160319566726685)], [[[36.0, 460.0], [105.0, 462.0], [105.0, 476.0], [35.0, 474.0]], ('RR3BOX176', 0.8991187214851379)], [[[37.0, 471.0], [77.0, 474.0], [76.0, 485.0], [36.0, 482.0]], ('CORNISH', 0.986268937587738)], [[[38.0, 484.0], [113.0, 484.0], [113.0, 494.0], [38.0, 494.0]], ('ACCOUNT NUNBER', 0.9209378361701965)], [[[114.0, 482.0], [150.0, 485.0], [149.0, 497.0], [113.0, 494.0]], ('79730', 0.9906824231147766)], [[[128.0, 475.0], [191.0, 475.0], [191.0, 485.0], [128.0, 485.0]], ('H037459709', 0.984036922454834)], [[[37.0, 503.0], [215.0, 505.0], [215.0, 518.0], [37.0, 516.0]], ('0000103-000M6S 11/07/01 12:47PM', 0.9038577079772949)], [[[16.0, 524.0], [134.0, 525.0], [134.0, 539.0], [16.0, 538.0]], ('SALINGERJD& COLLEEN', 0.9493259787559509)], [[[16.0, 536.0], [96.0, 537.0], [96.0, 548.0], [16.0, 547.0]], ('BOOKCLUB NEMBER', 0.9209831357002258)], [[[117.0, 538.0], [145.0, 538.0], [145.0, 549.0], [117.0, 549.0]], ('79730', 0.9967647790908813)], [[[47.0, 557.0], [193.0, 559.0], [193.0, 571.0], [46.0, 569.0]], ('THANK YOU FOR YOUR PATRONAGE', 0.9347667694091797)]]	{"store_name": "DARTMOUTHBOOKSTORE.INC.", "store_addr": "33SOUTHMAINSTREET HANOVER,NH03755", "telephone": "603-643-3616", "date": "11/07/01", "time": "12:47PM", "subtotal": "$25.95", "tax": "", "total": "$24.65 $24.65", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "WITHLOVEANDSQU211100", "item_value": "12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "DREAMSOFBEINGE080500", "item_value": "13.00", "item_quantity": "1"}, {"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	[[[[111.0, 54.0], [201.0, 57.0], [200.0, 75.0], [110.0, 71.0]], ('HEERING', 0.9979256391525269)], [[[99.0, 73.0], [234.0, 78.0], [234.0, 95.0], [99.0, 90.0]], ('NYHAVN 151051 KBH K.', 0.9035534858703613)], [[[75.0, 91.0], [253.0, 96.0], [252.0, 113.0], [75.0, 108.0]], ('TLF33145614-CVR20942096', 0.9877068996429443)], [[[41.0, 126.0], [139.0, 129.0], [139.0, 143.0], [40.0, 141.0]], ('BILL NUMBER:4892', 0.9381049871444702)], [[[159.0, 128.0], [292.0, 131.0], [292.0, 148.0], [158.0, 146.0]], ('31/07/201522:58#0259', 0.94275963306427)], [[[41.0, 141.0], [121.0, 145.0], [121.0, 162.0], [40.0, 159.0]], ('0001 TJENER1', 0.9530879855155945)], [[[235.0, 146.0], [290.0, 149.0], [290.0, 164.0], [234.0, 162.0]], ('BORD NR.9', 0.9242680072784424)], [[[119.0, 176.0], [213.0, 178.0], [213.0, 195.0], [119.0, 193.0]], ('REGNING', 0.95619136095047)], [[[69.0, 206.0], [135.0, 208.0], [134.0, 223.0], [69.0, 221.0]], ('1SODAVAND', 0.9372825622558594)], [[[181.0, 209.0], [212.0, 209.0], [212.0, 224.0], [181.0, 224.0]], ('42.CO', 0.9707937240600586)], [[[236.0, 210.0], [273.0, 210.0], [273.0, 225.0], [236.0, 225.0]], ('42.00', 0.9856595993041992)], [[[70.0, 224.0], [145.0, 224.0], [145.0, 238.0], [70.0, 238.0]], ('1xVAND1 LTR', 0.9351467490196228)], [[[180.0, 224.0], [212.0, 224.0], [212.0, 239.0], [180.0, 239.0]], ('25.CO', 0.9402283430099487)], [[[234.0, 225.0], [272.0, 225.0], [272.0, 240.0], [234.0, 240.0]], ('25.00', 0.9391927123069763)], [[[71.0, 236.0], [119.0, 238.0], [119.0, 253.0], [70.0, 251.0]], ('2xTORSK', 0.9244914650917053)], [[[174.0, 237.0], [211.0, 239.0], [210.0, 254.0], [173.0, 252.0]], ('200.00', 0.9529885649681091)], [[[228.0, 238.0], [270.0, 240.0], [269.0, 255.0], [227.0, 253.0]], ('400.00', 0.9921340942382812)], [[[70.0, 250.0], [160.0, 251.0], [160.0, 265.0], [70.0, 264.0]], ('2x BOF BEARNAISE', 0.9079418182373047)], [[[174.0, 250.0], [210.0, 252.0], [209.0, 267.0], [173.0, 265.0]], ('220.C0', 0.8745182156562805)], [[[227.0, 252.0], [269.0, 254.0], [268.0, 269.0], [226.0, 267.0]], ('440.00', 0.9929897785186768)], [[[72.0, 266.0], [144.0, 266.0], [144.0, 280.0], [72.0, 280.0]], ('2x FRUGTSALAT', 0.9435943365097046)], [[[179.0, 267.0], [209.0, 267.0], [209.0, 282.0], [179.0, 282.0]], ('90.CO', 0.8448860049247742)], [[[228.0, 268.0], [269.0, 268.0], [269.0, 283.0], [228.0, 283.0]], ('+180.00', 0.9425269365310669)], [[[72.0, 281.0], [149.0, 281.0], [149.0, 295.0], [72.0, 295.0]], ('1xCHEESE CAKE', 0.9464583992958069)], [[[179.0, 280.0], [210.0, 283.0], [208.0, 299.0], [177.0, 296.0]], ('90.00', 0.9855119585990906)], [[[232.0, 283.0], [269.0, 283.0], [269.0, 298.0], [232.0, 298.0]], ('90.00', 0.9440036416053772)], [[[48.0, 311.0], [93.0, 311.0], [93.0, 326.0], [48.0, 326.0]], ('SUBTOTAL', 0.9953922033309937)], [[[221.0, 311.0], [270.0, 314.0], [269.0, 332.0], [221.0, 329.0]], ('1177.00', 0.922758162021637)], [[[156.0, 344.0], [181.0, 344.0], [181.0, 359.0], [156.0, 359.0]], ('MOMS', 0.9935075044631958)], [[[203.0, 341.0], [248.0, 344.0], [247.0, 362.0], [202.0, 359.0]], ('235.40', 0.9362136721611023)], [[[45.0, 369.0], [94.0, 372.0], [94.0, 390.0], [44.0, 387.0]], ('STK.13Q', 0.919926106929779)], [[[43.0, 389.0], [87.0, 389.0], [87.0, 417.0], [43.0, 417.0]], ('KONTANT', 0.9428325295448303)], [[[175.0, 390.0], [268.0, 392.0], [267.0, 420.0], [175.0, 418.0]], ('*1177.00', 0.9965882301330566)]]	{"store_name": "HEERING", "store_addr": "NYHAVN15,1051KBHK", "telephone": "33145614", "date": "31/07/2015", "time": "22:58", "subtotal": "1177.00", "tax": "235.40", "total": "1177.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SODAVAND", "item_value": "42.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VAND1LTR", "item_value": "25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TORSK", "item_value": "400.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BOFBEARNAISE", "item_value": "440.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FRUGTSALAT", "item_value": "180.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CHEESECAKE", "item_value": "*90.00", "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	[[[[113.0, 41.0], [215.0, 43.0], [215.0, 54.0], [113.0, 52.0]], ("Morton's The Steakhouse", 0.8967045545578003)], [[[116.0, 60.0], [217.0, 62.0], [217.0, 73.0], [116.0, 71.0]], ('San Antanio.TX78205', 0.8815597891807556)], [[[136.0, 70.0], [200.0, 72.0], [199.0, 83.0], [135.0, 81.0]], ('210-228-0700', 0.9654765725135803)], [[[70.0, 96.0], [115.0, 99.0], [114.0, 113.0], [69.0, 110.0]], ('TBL13/1', 0.900041937828064)], [[[72.0, 90.0], [128.0, 90.0], [128.0, 101.0], [72.0, 101.0]], ('Server: Rudy', 0.9019415378570557)], [[[215.0, 90.0], [262.0, 94.0], [261.0, 108.0], [214.0, 104.0]], ('03/13/2016', 0.9609075784683228)], [[[69.0, 107.0], [117.0, 110.0], [117.0, 124.0], [68.0, 121.0]], ('Guests:2', 0.8460837602615356)], [[[227.0, 102.0], [262.0, 105.0], [262.0, 117.0], [226.0, 114.0]], ('7:52PM', 0.9246737360954285)], [[[68.0, 118.0], [130.0, 121.0], [129.0, 134.0], [68.0, 131.0]], ('Reprint 2', 0.9421795606613159)], [[[236.0, 116.0], [263.0, 116.0], [263.0, 129.0], [236.0, 129.0]], ('20009', 0.9984450340270996)], [[[68.0, 128.0], [146.0, 132.0], [146.0, 146.0], [67.0, 142.0]], ('Area:Restaurant', 0.9728553891181946)], [[[67.0, 151.0], [136.0, 153.0], [136.0, 166.0], [67.0, 164.0]], ("Morton's Salad", 0.9185043573379517)], [[[67.0, 162.0], [128.0, 164.0], [127.0, 177.0], [67.0, 175.0]], ('Baked Potato', 0.9749696254730225)], [[[240.0, 157.0], [264.0, 157.0], [264.0, 169.0], [240.0, 169.0]], ('13.00', 0.9924923181533813)], [[[66.0, 173.0], [146.0, 176.0], [146.0, 189.0], [65.0, 186.0]], ('Steaned Broccali', 0.914191722869873)], [[[239.0, 175.0], [266.0, 178.0], [265.0, 192.0], [238.0, 189.0]], ('13.00', 0.9925858378410339)], [[[240.0, 167.0], [265.0, 167.0], [265.0, 179.0], [240.0, 179.0]], ('13.00', 0.9895340204238892)], [[[67.0, 185.0], [114.0, 187.0], [114.0, 198.0], [66.0, 196.0]], ('Diet Coke', 0.9083499908447266)], [[[64.0, 196.0], [175.0, 198.0], [175.0, 211.0], [64.0, 209.0]], ('Mortons Hot Choc Cake', 0.9666703343391418)], [[[243.0, 190.0], [265.0, 190.0], [265.0, 202.0], [243.0, 202.0]], ('4.25', 0.9286043047904968)], [[[64.0, 207.0], [161.0, 210.0], [160.0, 223.0], [63.0, 220.0]], ('G1 MER Char es Krug', 0.8693231344223022)], [[[241.0, 200.0], [265.0, 200.0], [265.0, 212.0], [241.0, 212.0]], ('15.00', 0.9950451850891113)], [[[64.0, 218.0], [152.0, 220.0], [152.0, 234.0], [63.0, 232.0]], ('Filet Mignon. 6oz', 0.8230013251304626)], [[[241.0, 211.0], [266.0, 211.0], [266.0, 223.0], [241.0, 223.0]], ('16.00', 0.994908332824707)], [[[241.0, 220.0], [266.0, 222.0], [265.0, 236.0], [240.0, 234.0]], ('42.00', 0.9915002584457397)], [[[63.0, 230.0], [136.0, 232.0], [136.0, 245.0], [62.0, 243.0]], ('Chicken B1anco', 0.9050989151000977)], [[[241.0, 234.0], [268.0, 234.0], [268.0, 247.0], [241.0, 247.0]], ('28.00', 0.9888436198234558)], [[[66.0, 252.0], [108.0, 256.0], [107.0, 270.0], [65.0, 266.0]], ('9 Itens', 0.8374894857406616)], [[[60.0, 290.0], [105.0, 290.0], [105.0, 304.0], [60.0, 304.0]], ('Subtotal', 0.9928103685379028)], [[[240.0, 288.0], [272.0, 291.0], [271.0, 306.0], [239.0, 303.0]], ('144.25', 0.9796909689903259)], [[[60.0, 304.0], [145.0, 304.0], [145.0, 317.0], [60.0, 317.0]], ('Special Occasion', 0.9284952282905579)], [[[240.0, 303.0], [273.0, 303.0], [273.0, 317.0], [240.0, 317.0]], ('-15.00', 0.943248987197876)], [[[69.0, 316.0], [121.0, 316.0], [121.0, 330.0], [69.0, 330.0]], ('Name:ANN', 0.9436348080635071)], [[[59.0, 331.0], [133.0, 331.0], [133.0, 344.0], [59.0, 344.0]], ('D1sc Sub Total', 0.9056113362312317)], [[[242.0, 325.0], [275.0, 328.0], [274.0, 343.0], [241.0, 340.0]], ('129.25', 0.9850696921348572)], [[[58.0, 343.0], [78.0, 346.0], [76.0, 359.0], [56.0, 356.0]], ('Tax', 0.9934014678001404)], [[[247.0, 341.0], [276.0, 341.0], [276.0, 355.0], [247.0, 355.0]], ('10.66', 0.9518291354179382)], [[[56.0, 371.0], [85.0, 371.0], [85.0, 386.0], [56.0, 386.0]], ('Total', 0.993351936340332)], [[[245.0, 367.0], [277.0, 367.0], [277.0, 382.0], [245.0, 382.0]], ('139.91', 0.9950602650642395)], [[[55.0, 400.0], [127.0, 398.0], [128.0, 412.0], [55.0, 414.0]], ('Ba lance Due', 0.9158909916877747)], [[[241.0, 394.0], [278.0, 394.0], [278.0, 409.0], [241.0, 409.0]], ('$139.91', 0.9945281744003296)], [[[80.0, 428.0], [251.0, 423.0], [252.0, 437.0], [80.0, 442.0]], ('For banquet eventsbalance due', 0.9431715607643127)]]	{"store_name": "Horton'sTheSteakhouse", "store_addr": "SanAntonio,TX78205 849ECommerceStreet", "telephone": "(210)-228-0700", "date": "03/13/2016", "time": "7:52PM", "subtotal": "144.25", "tax": "10.66", "total": "$139.91 139.21", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenBianco", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "G1MERCharlesKrug", "item_value": "42.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Morton'sHotChocCake", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DietCoke", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BakedPotato", "item_value": "4.25", "item_quantity": "1"}, {"item_key": "", "item_name": "Morton'sSalad", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "13.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "13.00", "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	[[[[144.0, 116.0], [417.0, 127.0], [416.0, 154.0], [142.0, 143.0]], ('Marina Bar and Grill', 0.9394302368164062)], [[[244.0, 183.0], [378.0, 189.0], [377.0, 210.0], [243.0, 204.0]], ('OSPITALITY', 0.9893521070480347)], [[[88.0, 236.0], [438.0, 251.0], [438.0, 270.0], [87.0, 255.0]], ('************************************', 0.8902968168258667)], [[[87.0, 259.0], [283.0, 269.0], [282.0, 289.0], [86.0, 279.0]], ('CMS LAX INTL SOUTHSIDE', 0.9245412349700928)], [[[85.0, 284.0], [281.0, 293.0], [280.0, 313.0], [84.0, 304.0]], ('Marina Bar Order 2911', 0.9295653104782104)], [[[102.0, 307.0], [204.0, 312.0], [202.0, 333.0], [101.0, 328.0]], ('LOS ANGELES', 0.960581362247467)], [[[83.0, 330.0], [237.0, 338.0], [236.0, 359.0], [82.0, 351.0]], ('Tel.310-215-4205', 0.961059033870697)], [[[82.0, 378.0], [245.0, 385.0], [244.0, 406.0], [81.0, 399.0]], ('12/28/129:53 AM', 0.8970578908920288)], [[[80.0, 403.0], [210.0, 407.0], [210.0, 428.0], [79.0, 424.0]], ('Table Cust 1', 0.910378634929657)], [[[76.0, 428.0], [357.0, 434.0], [357.0, 454.0], [75.0, 448.0]], ('Waier 81 Gabrie1la Pul ido/1058', 0.9093636274337769)], [[[75.0, 451.0], [437.0, 460.0], [437.0, 480.0], [74.0, 471.0]], ('************************************', 0.8753674030303955)], [[[70.0, 528.0], [231.0, 530.0], [231.0, 554.0], [69.0, 552.0]], ('1 Dei Rey Combo 1', 0.8805279731750488)], [[[383.0, 526.0], [428.0, 530.0], [426.0, 557.0], [381.0, 553.0]], ('7.99', 0.85526442527771)], [[[246.0, 580.0], [323.0, 580.0], [323.0, 605.0], [246.0, 605.0]], ('Taxable:', 0.9815375804901123)], [[[385.0, 578.0], [432.0, 580.0], [430.0, 608.0], [383.0, 606.0]], ('7.93', 0.8604836463928223)], [[[224.0, 634.0], [323.0, 636.0], [323.0, 661.0], [224.0, 659.0]], ('Sub-total:', 0.9652279019355774)], [[[388.0, 635.0], [433.0, 635.0], [433.0, 662.0], [388.0, 662.0]], ('7.99', 0.9400670528411865)], [[[263.0, 664.0], [324.0, 664.0], [324.0, 690.0], [263.0, 690.0]], ('Taxes:', 0.9918600916862488)], [[[388.0, 663.0], [435.0, 663.0], [435.0, 690.0], [388.0, 690.0]], ('0.70', 0.9792637825012207)], [[[156.0, 719.0], [453.0, 720.0], [453.0, 747.0], [156.0, 746.0]], ('Tota1Due:8.69', 0.947483479976654)], [[[47.0, 775.0], [98.0, 775.0], [98.0, 799.0], [47.0, 799.0]], ('Cash', 0.9899731874465942)], [[[384.0, 779.0], [437.0, 779.0], [437.0, 799.0], [384.0, 799.0]], ('10.00', 0.9607057571411133)]]	{"store_name": "MarinaBarandGrill", "store_addr": "CMSLAXINTLSOUTHSIDE MarinaBarOrder2911 LOSANGELES", "telephone": "310-215-4205", "date": "12/28/12", "time": "9:53AM", "subtotal": "7.99 7.99", "tax": "0.70", "total": "8.69", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "DelReyCombo1", "item_value": "7.99", "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	[[[[208.0, 0.0], [258.0, 5.0], [252.0, 39.0], [203.0, 31.0]], ('m', 0.9012726545333862)], [[[192.0, 28.0], [265.0, 38.0], [263.0, 52.0], [190.0, 42.0]], ('mothercare', 0.9959759712219238)], [[[146.0, 45.0], [304.0, 65.0], [302.0, 80.0], [144.0, 59.0]], ('Mothercare-0xford Street 515', 0.9235981106758118)], [[[168.0, 61.0], [280.0, 76.0], [278.0, 90.0], [166.0, 74.0]], ('526-528 Oxford Street', 0.8927831053733826)], [[[181.0, 76.0], [263.0, 87.0], [261.0, 101.0], [180.0, 90.0]], ('London HIC IL', 0.7951328754425049)], [[[160.0, 87.0], [280.0, 102.0], [278.0, 116.0], [158.0, 101.0]], ('Telephone020-7659-9020', 0.9753770232200623)], [[[147.0, 99.0], [289.0, 116.0], [287.0, 129.0], [145.0, 112.0]], ('V.A.T.Number44 6445 66', 0.8532348871231079)], [[[115.0, 139.0], [208.0, 150.0], [206.0, 163.0], [113.0, 152.0]], ('Union Jack Nappies', 0.9443003535270691)], [[[204.0, 130.0], [228.0, 133.0], [226.0, 147.0], [202.0, 143.0]], ('SALE', 0.9948447346687317)], [[[114.0, 151.0], [206.0, 162.0], [204.0, 176.0], [112.0, 164.0]], ("Baby's First Croun", 0.9033005833625793)], [[[250.0, 153.0], [283.0, 159.0], [281.0, 173.0], [247.0, 167.0]], ('29.99', 0.9833172559738159)], [[[114.0, 163.0], [225.0, 177.0], [223.0, 191.0], [112.0, 177.0]], ('One Loves Granny Bib', 0.9361206889152527)], [[[247.0, 166.0], [292.0, 173.0], [290.0, 186.0], [245.0, 180.0]], ('45,000.00', 0.913036584854126)], [[[112.0, 176.0], [174.0, 183.0], [173.0, 197.0], [110.0, 190.0]], ('Corgi Onesie', 0.931052029132843)], [[[110.0, 188.0], [234.0, 201.0], [232.0, 214.0], [109.0, 201.0]], ('Commonwealth Map Blanket', 0.9222100377082825)], [[[247.0, 179.0], [273.0, 183.0], [272.0, 195.0], [245.0, 191.0]], ('8.99', 0.9869391918182373)], [[[109.0, 200.0], [197.0, 209.0], [196.0, 222.0], [108.0, 213.0]], ('Big Ben Nightlight', 0.9207249879837036)], [[[245.0, 191.0], [275.0, 195.0], [274.0, 207.0], [243.0, 203.0]], ('12.99', 0.9915529489517212)], [[[107.0, 211.0], [210.0, 222.0], [208.0, 235.0], [106.0, 224.0]], ('San Puree Multipack', 0.9343387484550476)], [[[244.0, 202.0], [272.0, 206.0], [271.0, 218.0], [242.0, 214.0]], ('75.00', 0.8152083158493042)], [[[106.0, 222.0], [228.0, 236.0], [226.0, 249.0], [105.0, 235.0]], ('Silver Spoon Dummy x 12', 0.8781211972236633)], [[[242.0, 214.0], [275.0, 219.0], [272.0, 231.0], [240.0, 226.0]], ('66663', 0.9521291851997375)], [[[105.0, 233.0], [185.0, 242.0], [183.0, 256.0], [104.0, 247.0]], ('Training Throne', 0.9607816934585571)], [[[241.0, 226.0], [272.0, 230.0], [271.0, 241.0], [239.0, 237.0]], ('500.00', 0.9490041732788086)], [[[105.0, 245.0], [189.0, 254.0], [187.0, 269.0], [104.0, 260.0]], ('Horse-dran Pram', 0.9036970734596252)], [[[240.0, 237.0], [271.0, 241.0], [270.0, 252.0], [238.0, 248.0]], ('950.00', 0.912188708782196)], [[[238.0, 247.0], [280.0, 252.0], [278.0, 267.0], [236.0, 261.0]], ('2999.99', 0.9729848504066467)], [[[103.0, 258.0], [160.0, 262.0], [159.0, 276.0], [102.0, 271.0]], ('Secure Cot', 0.9432252645492554)], [[[236.0, 258.0], [286.0, 266.0], [284.0, 280.0], [234.0, 273.0]], ('247,500.00', 0.8124091029167175)], [[[104.0, 270.0], [181.0, 277.0], [180.0, 288.0], [103.0, 281.0]], ('Cot Guard Detail', 0.9071869254112244)], [[[236.0, 272.0], [270.0, 277.0], [269.0, 288.0], [234.0, 283.0]], ('2000.00', 0.8365312218666077)], [[[234.0, 282.0], [294.0, 290.0], [292.0, 304.0], [232.0, 296.0]], ('3,999,999.99', 0.9287914633750916)], [[[101.0, 302.0], [139.0, 306.0], [138.0, 317.0], [100.0, 313.0]], ('Subtotal', 0.9857458472251892)], [[[100.0, 312.0], [218.0, 324.0], [217.0, 338.0], [98.0, 326.0]], ('Taxpayer Funded Discount', 0.9453067779541016)], [[[228.0, 316.0], [289.0, 323.0], [287.0, 336.0], [227.0, 329.0]], ('4299176.94', 0.9343023300170898)], [[[98.0, 334.0], [153.0, 339.0], [151.0, 352.0], [96.0, 347.0]], ('ng ', 0.8026992678642273)], [[[227.0, 327.0], [254.0, 332.0], [252.0, 344.0], [224.0, 338.0]], ('-100%', 0.7159130573272705)], [[[226.0, 349.0], [249.0, 355.0], [246.0, 367.0], [223.0, 361.0]], ('0.00', 0.869547426700592)], [[[141.0, 359.0], [237.0, 374.0], [235.0, 387.0], [139.0, 373.0]], ('Royal Smile Verified', 0.9021989703178406)], [[[117.0, 392.0], [252.0, 413.0], [250.0, 427.0], [115.0, 405.0]], ('Royal Handshakes Given49', 0.913837730884552)], [[[148.0, 384.0], [223.0, 396.0], [220.0, 410.0], [145.0, 398.0]], ('ItensSo1d12', 0.8250531554222107)], [[[134.0, 407.0], [232.0, 421.0], [230.0, 436.0], [132.0, 421.0]], ('Paparazzi Avoided0', 0.9218275547027588)], [[[87.0, 424.0], [269.0, 455.0], [266.0, 469.0], [85.0, 438.0]], ('Thank you for shopping at Mothercare', 0.941544771194458)], [[[82.0, 436.0], [272.0, 469.0], [269.0, 483.0], [79.0, 451.0]], ('Please give your receipt to the butler', 0.9372849464416504)], [[[91.0, 450.0], [258.0, 480.0], [256.0, 495.0], [89.0, 465.0]], ("he'll do whatever he usually does", 0.8671125173568726)], [[[112.0, 468.0], [229.0, 489.0], [226.0, 503.0], [110.0, 481.0]], ('with this sort of thing', 0.9371271729469299)]]	{"store_name": "mothercare", "store_addr": "mothercare-OxfordStreet515 526-528OxfordStreet London,W1C1LH", "telephone": "Telephone:020-7659-9020", "date": "", "time": "", "subtotal": "\u00a34,299,176.94", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "UnionJackNappies", "item_value": "\u00a329.99", "item_quantity": "1"}, {"item_key": "", "item_name": "Baby'sFirstCrown", "item_value": "\u00a345,000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "'OneLovesGranny'Bib", "item_value": "\u00a38.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CorgiOnesie", "item_value": "\u00a312.99", "item_quantity": "1"}, {"item_key": "", "item_name": "CommonwealthMapBlanket", "item_value": "\u00a375.00", "item_quantity": "1"}, {"item_key": "", "item_name": "BigBenNightlight", "item_value": "\u00a399.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SmanPureeMultipack", "item_value": "\u00a3500.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SilverspoonDummyx12", "item_value": "\u00a3950.00", "item_quantity": "1"}, {"item_key": "", "item_name": "TrainingThrone", "item_value": "\u00a32999.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SecureCot", "item_value": "\u00a3247,500.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CotGuardDetail", "item_value": "\u00a32000.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a33,999,999.99", "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	[[[[116.0, 41.0], [201.0, 50.0], [200.0, 64.0], [115.0, 55.0]], ("Hasburger Mary's", 0.9155997633934021)], [[[104.0, 63.0], [215.0, 74.0], [214.0, 88.0], [102.0, 77.0]], ('110West Church Street', 0.9576590657234192)], [[[112.0, 74.0], [202.0, 83.0], [201.0, 100.0], [111.0, 91.0]], ('Or1andoFL32801', 0.9387301802635193)], [[[89.0, 84.0], [231.0, 96.0], [230.0, 113.0], [88.0, 101.0]], ('321319-0600', 0.9915876984596252)], [[[82.0, 97.0], [238.0, 110.0], [236.0, 127.0], [80.0, 114.0]], ('www.HamburgerHarys-Oriando.com', 0.9290764331817627)], [[[61.0, 119.0], [126.0, 126.0], [125.0, 141.0], [59.0, 134.0]], ('387CRISSR', 0.9714406132698059)], [[[57.0, 145.0], [111.0, 151.0], [109.0, 166.0], [55.0, 160.0]], ('Tb1612/8', 0.9324885606765747)], [[[143.0, 151.0], [189.0, 155.0], [188.0, 169.0], [142.0, 165.0]], ('Chk1010', 0.9728683233261108)], [[[124.0, 165.0], [208.0, 168.0], [207.0, 182.0], [124.0, 179.0]], ('Aug2716 07:00PM', 0.9227950572967529)], [[[230.0, 156.0], [264.0, 156.0], [264.0, 171.0], [230.0, 171.0]], ('Gst 0', 0.8380275964736938)], [[[69.0, 189.0], [134.0, 191.0], [133.0, 206.0], [68.0, 204.0]], ('1 Coke Diet', 0.9074946045875549)], [[[228.0, 192.0], [252.0, 192.0], [252.0, 207.0], [228.0, 207.0]], ('2.95', 0.9942517280578613)], [[[68.0, 203.0], [210.0, 206.0], [210.0, 220.0], [68.0, 217.0]], ('1 BBQ/Bac Chzbrgr $Mac&Chz', 0.9255343675613403)], [[[227.0, 204.0], [253.0, 204.0], [253.0, 219.0], [227.0, 219.0]], ('13.20', 0.9936162829399109)], [[[69.0, 217.0], [158.0, 218.0], [157.0, 232.0], [69.0, 231.0]], ('1 Entertain Fee', 0.9538419842720032)], [[[231.0, 214.0], [254.0, 217.0], [252.0, 232.0], [229.0, 229.0]], ('1.99', 0.9935736060142517)], [[[84.0, 246.0], [132.0, 246.0], [132.0, 260.0], [84.0, 260.0]], ('Subtotal', 0.9402645826339722)], [[[229.0, 241.0], [256.0, 241.0], [256.0, 256.0], [229.0, 256.0]], ('18.14', 0.9900298118591309)], [[[84.0, 262.0], [108.0, 262.0], [108.0, 274.0], [84.0, 274.0]], ('Tax.', 0.9340858459472656)], [[[232.0, 253.0], [257.0, 253.0], [257.0, 268.0], [232.0, 268.0]], ('1.18', 0.9867911338806152)], [[[83.0, 274.0], [154.0, 272.0], [155.0, 287.0], [84.0, 289.0]], ('18xGratuity', 0.9335113763809204)], [[[234.0, 266.0], [257.0, 266.0], [257.0, 281.0], [234.0, 281.0]], ('3.27', 0.9923023581504822)], [[[207.0, 282.0], [258.0, 278.0], [259.0, 293.0], [208.0, 297.0]], ('22.59', 0.997766375541687)], [[[58.0, 293.0], [139.0, 287.0], [140.0, 302.0], [59.0, 308.0]], ('09:47PMTota', 0.9388181567192078)], [[[86.0, 322.0], [231.0, 307.0], [232.0, 321.0], [87.0, 336.0]], ('Thank You For Joining Us!', 0.9262316226959229)], [[[85.0, 352.0], [223.0, 334.0], [225.0, 351.0], [87.0, 369.0]], ('Be Cool...Stay Informed', 0.9022060632705688)], [[[87.0, 370.0], [216.0, 350.0], [219.0, 366.0], [89.0, 387.0]], ("Join Mary's E-Mail List", 0.9179749488830566)], [[[86.0, 385.0], [126.0, 381.0], [127.0, 399.0], [88.0, 403.0]], ('Nane:', 0.9124652147293091)], [[[88.0, 402.0], [134.0, 396.0], [136.0, 411.0], [90.0, 417.0]], ('E-Mail:', 0.9410994648933411)]]	{"store_name": "HamburgerMary's", "store_addr": "110WestChurchStreet Orlando,FL32801", "telephone": "(321)319-0600", "date": "Aug27'16", "time": "09:47PM", "subtotal": "18.14", "tax": "1.18", "total": "22.59", "ignore": "", "tips": "3.27", "line_items": [{"item_key": "", "item_name": "CokeDiet", "item_value": "2.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BBQ/BacChzbrgr$Mac&Chz", "item_value": "13.20", "item_quantity": "1"}, {"item_key": "", "item_name": "EntertainFee", "item_value": "1.99", "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	[[[[134.0, 165.0], [186.0, 165.0], [186.0, 176.0], [134.0, 176.0]], ('160n0', 0.7736040353775024)], [[[81.0, 189.0], [122.0, 189.0], [122.0, 200.0], [81.0, 200.0]], ('Table 83/1', 0.7264609932899475)], [[[82.0, 180.0], [143.0, 181.0], [143.0, 192.0], [82.0, 191.0]], ('Server: Courtney', 0.8287036418914795)], [[[196.0, 180.0], [236.0, 180.0], [236.0, 191.0], [196.0, 191.0]], ('02/15/2014', 0.9740654826164246)], [[[204.0, 188.0], [236.0, 188.0], [236.0, 199.0], [204.0, 199.0]], ('12:20PM', 0.8167558312416077)], [[[80.0, 198.0], [118.0, 198.0], [118.0, 209.0], [80.0, 209.0]], ('ests:7', 0.7517971396446228)], [[[215.0, 196.0], [236.0, 196.0], [236.0, 207.0], [215.0, 207.0]], ('40008', 0.8690387010574341)], [[[79.0, 213.0], [171.0, 212.0], [171.0, 225.0], [80.0, 226.0]], ('San Garl Ch Bread', 0.6982495188713074)], [[[218.0, 210.0], [239.0, 212.0], [237.0, 224.0], [217.0, 222.0]], ('5.99', 0.8947073221206665)], [[[79.0, 224.0], [155.0, 224.0], [155.0, 234.0], [79.0, 234.0]], ('Ange Hair Foncdoro', 0.845841109752655)], [[[218.0, 218.0], [241.0, 218.0], [241.0, 243.0], [218.0, 243.0]], ('1.9', 0.7689381241798401)], [[[78.0, 230.0], [176.0, 230.0], [176.0, 243.0], [78.0, 243.0]], ('Pasta Ith Nar.inara Stuce', 0.8137761950492859)], [[[77.0, 249.0], [109.0, 249.0], [109.0, 260.0], [77.0, 260.0]], ('Subtotal', 0.9090671539306641)], [[[218.0, 247.0], [241.0, 247.0], [241.0, 259.0], [218.0, 259.0]], ('22.73', 0.9181305170059204)], [[[76.0, 259.0], [93.0, 259.0], [93.0, 270.0], [76.0, 270.0]], ('Tax', 0.9248998165130615)], [[[221.0, 256.0], [242.0, 256.0], [242.0, 268.0], [221.0, 268.0]], ('2.16', 0.8728399276733398)], [[[76.0, 277.0], [97.0, 277.0], [97.0, 289.0], [76.0, 289.0]], ('Total', 0.9288879632949829)], [[[219.0, 275.0], [243.0, 275.0], [243.0, 286.0], [219.0, 286.0]], ('24.89', 0.9208486676216125)], [[[71.0, 295.0], [165.0, 294.0], [165.0, 308.0], [71.0, 309.0]], ('Ba lance Due', 0.9162614345550537)], [[[202.0, 295.0], [243.0, 295.0], [243.0, 306.0], [202.0, 306.0]], ('24.89', 0.995263397693634)], [[[69.0, 316.0], [240.0, 312.0], [240.0, 326.0], [69.0, 331.0]], ('How ws your vist I ould love to hear', 0.7663238644599915)], [[[75.0, 324.0], [234.0, 323.0], [235.0, 340.0], [75.0, 342.0]], ('acut Please contact Sarl Khoury', 0.770990788936615)], [[[87.0, 337.0], [230.0, 333.0], [230.0, 350.0], [87.0, 354.0]], ('Genera Kanagerat 615-254-9010', 0.8873623609542847)], [[[74.0, 350.0], [236.0, 346.0], [237.0, 360.0], [74.0, 363.0]], ('ormashv1le_gncsf.con.Alsoplease', 0.7846347689628601)], [[[82.0, 359.0], [231.0, 357.0], [231.0, 373.0], [82.0, 375.0]], ('Join us for our Grand Reopening', 0.8803885579109192)], [[[64.0, 372.0], [250.0, 369.0], [250.0, 383.0], [64.0, 386.0]], ('Friday,March 7.2014.we hope to see you th', 0.8769159913063049)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "12:20PM", "subtotal": "22.73", "tax": "2.16", "total": "24.99", "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	[[[[130.0, 19.0], [191.0, 19.0], [191.0, 36.0], [130.0, 36.0]], ('Start Time', 0.9723358154296875)], [[[131.0, 38.0], [209.0, 38.0], [209.0, 51.0], [131.0, 51.0]], ('08/19/1509:46', 0.9821506142616272)], [[[130.0, 55.0], [178.0, 55.0], [178.0, 69.0], [130.0, 69.0]], ('End Tine', 0.9097120761871338)], [[[131.0, 71.0], [205.0, 71.0], [205.0, 85.0], [131.0, 85.0]], ('8/19/1510:47', 0.970305860042572)], [[[129.0, 88.0], [217.0, 86.0], [218.0, 103.0], [130.0, 105.0]], ('Veh:0423/13001', 0.9025461077690125)], [[[132.0, 122.0], [201.0, 122.0], [201.0, 135.0], [132.0, 135.0]], ('Trx2492361', 0.9641426205635071)], [[[131.0, 137.0], [210.0, 136.0], [211.0, 151.0], [132.0, 152.0]], ('Card VISA3166', 0.9090360403060913)], [[[131.0, 154.0], [197.0, 154.0], [197.0, 168.0], [131.0, 168.0]], ('Apr071165', 0.907903254032135)], [[[132.0, 168.0], [211.0, 170.0], [210.0, 185.0], [131.0, 183.0]], ('Fare540.00', 0.899056077003479)], [[[132.0, 185.0], [211.0, 187.0], [210.0, 201.0], [131.0, 199.0]], ('Totals40.80', 0.8745971322059631)], [[[131.0, 261.0], [216.0, 265.0], [215.0, 282.0], [130.0, 278.0]], ('For Service Call', 0.9186952114105225)], [[[129.0, 291.0], [197.0, 294.0], [196.0, 311.0], [128.0, 308.0]], ('206-622-6500', 0.9399690628051758)], [[[130.0, 310.0], [187.0, 310.0], [187.0, 324.0], [130.0, 324.0]], ('Conplaints', 0.9257880449295044)], [[[130.0, 324.0], [197.0, 324.0], [197.0, 341.0], [130.0, 341.0]], ('206-296-TAXI', 0.9424810409545898)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "8/19/15 08/19/15", "time": "10:47", "subtotal": "", "tax": "", "total": "$40.00 $40.00", "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	[[[[708.0, 85.0], [1063.0, 71.0], [1070.0, 247.0], [715.0, 261.0]], ('Oi/', 0.8037109971046448)], [[[511.0, 430.0], [1371.0, 410.0], [1373.0, 494.0], [513.0, 514.0]], ('CTC/Fuelco', 0.9064441919326782)], [[[920.0, 506.0], [1535.0, 477.0], [1539.0, 558.0], [924.0, 587.0]], ('401EB', 0.9862488508224487)], [[[184.0, 524.0], [956.0, 507.0], [958.0, 591.0], [186.0, 608.0]], ('845Hwy.', 0.8688307404518127)], [[[1102.0, 581.0], [1704.0, 569.0], [1706.0, 650.0], [1104.0, 662.0]], ('Ontario', 0.9600812196731567)], [[[178.0, 611.0], [994.0, 588.0], [996.0, 672.0], [180.0, 695.0]], ('Port Hope,', 0.9494571685791016)], [[[590.0, 676.0], [1197.0, 658.0], [1200.0, 750.0], [593.0, 768.0]], ('L1A3W3', 0.9648048281669617)], [[[1548.0, 807.0], [1810.0, 807.0], [1810.0, 896.0], [1548.0, 896.0]], ('007634', 0.9967754483222961)], [[[690.0, 829.0], [905.0, 829.0], [905.0, 915.0], [690.0, 915.0]], ('18:16', 0.9554815292358398)], [[[1069.0, 821.0], [1421.0, 815.0], [1422.0, 901.0], [1071.0, 908.0]], ('TRANS #', 0.9416924715042114)], [[[112.0, 854.0], [515.0, 839.0], [518.0, 914.0], [115.0, 930.0]], ('2011-07-24', 0.97393399477005)], [[[115.0, 940.0], [719.0, 920.0], [721.0, 996.0], [117.0, 1016.0]], ('HSTR823640057', 0.9969564080238342)], [[[979.0, 1061.0], [1125.0, 1061.0], [1125.0, 1156.0], [979.0, 1156.0]], ('QTY', 0.996068000793457)], [[[1194.0, 1056.0], [1427.0, 1056.0], [1427.0, 1145.0], [1194.0, 1145.0]], ('PRICE', 0.9985591173171997)], [[[1556.0, 1053.0], [1804.0, 1053.0], [1804.0, 1139.0], [1556.0, 1139.0]], ('AMOUNT', 0.9974589943885803)], [[[115.0, 1084.0], [399.0, 1074.0], [402.0, 1160.0], [118.0, 1170.0]], ('PRODUCT', 0.9965522885322571)], [[[1238.0, 1145.0], [1430.0, 1145.0], [1430.0, 1234.0], [1238.0, 1234.0]], ('8.89', 0.9947926998138428)], [[[1628.0, 1139.0], [1812.0, 1139.0], [1812.0, 1228.0], [1628.0, 1228.0]], ('8.89', 0.994663417339325)], [[[1070.0, 1161.0], [1130.0, 1161.0], [1130.0, 1226.0], [1070.0, 1226.0]], ('1', 0.96775883436203)], [[[126.0, 1175.0], [769.0, 1158.0], [771.0, 1233.0], [128.0, 1251.0]], ('FORMULA SYN 5W30', 0.9387457370758057)], [[[1086.0, 1232.0], [1142.0, 1260.0], [1109.0, 1325.0], [1053.0, 1297.0]], ('1', 0.6062210202217102)], [[[1240.0, 1228.0], [1433.0, 1228.0], [1433.0, 1320.0], [1240.0, 1320.0]], ('1.29', 0.9905477166175842)], [[[1636.0, 1228.0], [1815.0, 1228.0], [1815.0, 1318.0], [1636.0, 1318.0]], ('1.29', 0.9931802153587341)], [[[129.0, 1259.0], [838.0, 1244.0], [839.0, 1317.0], [130.0, 1332.0]], ('BV MONTCLAIR 5OOML', 0.9056147336959839)], [[[1248.0, 1318.0], [1438.0, 1318.0], [1438.0, 1407.0], [1248.0, 1407.0]], ('1.49', 0.9903706312179565)], [[[1634.0, 1312.0], [1818.0, 1312.0], [1818.0, 1407.0], [1634.0, 1407.0]], ('1.49', 0.9889695644378662)], [[[132.0, 1342.0], [689.0, 1333.0], [691.0, 1409.0], [133.0, 1418.0]], ('CH CADBURY REG', 0.9299041628837585)], [[[1068.0, 1413.0], [1259.0, 1403.0], [1264.0, 1486.0], [1073.0, 1497.0]], ('HST', 0.976263701915741)], [[[1240.0, 1404.0], [1438.0, 1404.0], [1438.0, 1496.0], [1240.0, 1496.0]], ('13.%', 0.9840688109397888)], [[[1636.0, 1404.0], [1820.0, 1404.0], [1820.0, 1493.0], [1636.0, 1493.0]], ('1.52', 0.9805238246917725)], [[[117.0, 1557.0], [518.0, 1567.0], [516.0, 1650.0], [115.0, 1641.0]], ('TOTAL', 0.9985755681991577)], [[[1034.0, 1566.0], [1122.0, 1566.0], [1122.0, 1660.0], [1034.0, 1660.0]], ('$', 0.9834321141242981)], [[[1407.0, 1567.0], [1803.0, 1557.0], [1805.0, 1644.0], [1409.0, 1653.0]], ('13.19', 0.994971752166748)], [[[88.0, 1709.0], [272.0, 1709.0], [272.0, 1798.0], [88.0, 1798.0]], ('VISA', 0.9984485507011414)], [[[521.0, 1717.0], [1208.0, 1734.0], [1206.0, 1810.0], [519.0, 1792.0]], ('************3710', 0.9385685920715332)], [[[103.0, 1798.0], [482.0, 1807.0], [480.0, 1882.0], [101.0, 1873.0]], ('Invoice #', 0.9504581093788147)], [[[1163.0, 1817.0], [1433.0, 1817.0], [1433.0, 1893.0], [1163.0, 1893.0]], ('005456', 0.9977941513061523)], [[[108.0, 1881.0], [735.0, 1896.0], [733.0, 1969.0], [107.0, 1954.0]], ('Authorization#', 0.9599032998085022)], [[[1166.0, 1898.0], [1433.0, 1898.0], [1433.0, 1984.0], [1166.0, 1984.0]], ('097088', 0.9818266034126282)], [[[575.0, 2180.0], [1299.0, 2213.0], [1295.0, 2302.0], [571.0, 2269.0]], ('Save 10 cents per', 0.9417173862457275)], [[[583.0, 2267.0], [1332.0, 2293.0], [1329.0, 2385.0], [579.0, 2359.0]], ('liter! Ask me how', 0.9007551074028015)]]	{"store_name": "CTC/Fuelco", "store_addr": "845Hwy.401E.B. PortHope,Ontario L1A3W3", "telephone": "", "date": "2011-07-24", "time": "18:16", "subtotal": "", "tax": "1.52", "total": "$13.19", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FORMULASYN5W30", "item_value": "8.89", "item_quantity": "1"}, {"item_key": "", "item_name": "BVMONTCLAIR500ML", "item_value": "1.29", "item_quantity": "1"}, {"item_key": "", "item_name": "CHCADBURYREG", "item_value": "1.49", "item_quantity": "1"}, {"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	[[[[127.0, 53.0], [194.0, 55.0], [194.0, 69.0], [126.0, 67.0]], ('LO SPAZIO', 0.9181578159332275)], [[[106.0, 79.0], [219.0, 81.0], [219.0, 94.0], [106.0, 92.0]], ('Aug rasnepecg Ouid n ZD', 0.5419751405715942)], [[[131.0, 72.0], [195.0, 74.0], [195.0, 86.0], [131.0, 83.0]], ('T/F.Henry Ho', 0.6422275304794312)], [[[137.0, 97.0], [192.0, 97.0], [192.0, 108.0], [137.0, 108.0]], ('Te127789877', 0.8379121422767639)], [[[141.0, 90.0], [187.0, 93.0], [186.0, 104.0], [141.0, 101.0]], ('Hong Kong', 0.8788581490516663)], [[[86.0, 115.0], [166.0, 115.0], [166.0, 129.0], [86.0, 129.0]], ('Table :24', 0.8898854851722717)], [[[82.0, 143.0], [132.0, 143.0], [132.0, 154.0], [82.0, 154.0]], ('Drder No.', 0.82646644115448)], [[[83.0, 135.0], [148.0, 135.0], [148.0, 145.0], [83.0, 145.0]], ('No of Guest 2', 0.8306121826171875)], [[[78.0, 156.0], [210.0, 155.0], [210.0, 169.0], [79.0, 170.0]], ('Start 1e2017/06/1919:42', 0.8839130401611328)], [[[81.0, 150.0], [105.0, 150.0], [105.0, 161.0], [81.0, 161.0]], ('Staff', 0.9888395071029663)], [[[84.0, 174.0], [141.0, 174.0], [141.0, 185.0], [84.0, 185.0]], ('2SET DINNER', 0.9215383529663086)], [[[233.0, 173.0], [262.0, 173.0], [262.0, 184.0], [233.0, 184.0]], ('376.00', 0.9845631718635559)], [[[84.0, 186.0], [142.0, 186.0], [142.0, 196.0], [84.0, 196.0]], ('2 Da1ly Soup', 0.8158909678459167)], [[[241.0, 181.0], [265.0, 184.0], [263.0, 196.0], [240.0, 193.0]], ('000', 0.8117327094078064)], [[[82.0, 196.0], [172.0, 196.0], [172.0, 209.0], [82.0, 209.0]], ('1 Set Sa mon Skewer', 0.902870774269104)], [[[244.0, 195.0], [266.0, 195.0], [266.0, 207.0], [244.0, 207.0]], ('0.00', 0.9937977194786072)], [[[82.0, 210.0], [145.0, 210.0], [145.0, 220.0], [82.0, 220.0]], ('1Set Mussels', 0.9395974278450012)], [[[245.0, 203.0], [270.0, 206.0], [268.0, 221.0], [244.0, 218.0]], ('0.00', 0.9574893116950989)], [[[81.0, 222.0], [153.0, 222.0], [153.0, 233.0], [81.0, 233.0]], ('1 Set Pork Chop', 0.9097865223884583)], [[[243.0, 219.0], [272.0, 219.0], [272.0, 233.0], [243.0, 233.0]], ('65.00', 0.9663649797439575)], [[[79.0, 236.0], [148.0, 236.0], [148.0, 247.0], [79.0, 247.0]], ('1 Set Bistecca', 0.9204719662666321)], [[[246.0, 233.0], [273.0, 233.0], [273.0, 246.0], [246.0, 246.0]], ('75.00', 0.9935973882675171)], [[[79.0, 250.0], [144.0, 250.0], [144.0, 261.0], [79.0, 261.0]], ('1 Set Dessert', 0.9314898252487183)], [[[250.0, 247.0], [275.0, 247.0], [275.0, 259.0], [250.0, 259.0]], ('0.00', 0.9917572736740112)], [[[77.0, 264.0], [193.0, 264.0], [193.0, 277.0], [77.0, 277.0]], ('1 Set Molten Cheesecake', 0.9391155242919922)], [[[248.0, 261.0], [277.0, 261.0], [277.0, 275.0], [248.0, 275.0]], ('35.00', 0.9895756840705872)], [[[245.0, 289.0], [280.0, 289.0], [280.0, 303.0], [245.0, 303.0]], ('551.00', 0.9894051551818848)], [[[64.0, 291.0], [110.0, 294.0], [110.0, 308.0], [63.0, 305.0]], ('Subtotal', 0.9734596014022827)], [[[62.0, 307.0], [149.0, 303.0], [150.0, 317.0], [63.0, 321.0]], ('Service Chg.10%', 0.8894445896148682)], [[[251.0, 301.0], [281.0, 301.0], [281.0, 316.0], [251.0, 316.0]], ('55.00', 0.9911811947822571)], [[[216.0, 317.0], [281.0, 314.0], [282.0, 336.0], [217.0, 339.0]], ('606.00', 0.9952133297920227)], [[[63.0, 327.0], [92.0, 327.0], [92.0, 342.0], [63.0, 342.0]], ('Total', 0.995825469493866)], [[[119.0, 363.0], [211.0, 362.0], [211.0, 376.0], [119.0, 377.0]], ('* Thank You *', 0.8861593008041382)], [[[83.0, 389.0], [246.0, 386.0], [246.0, 399.0], [83.0, 402.0]], ('2017/06/19 21:03 8007 S1 T1Jce', 0.9136401414871216)]]	{"store_name": "LOSPAZIO", "store_addr": "HongKong", "telephone": "27789877", "date": "2017/06/19 2017/06/19", "time": "21:03", "subtotal": "551.00", "tax": "", "total": "606.00", "ignore": " Staff:sian ", "tips": "", "line_items": [{"item_key": "", "item_name": "SETDINNER", "item_value": "376.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DailySoup", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SetSalmonSkewer", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SetMussels", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SetPorkChop", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SetBistecca", "item_value": "75.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SetDessert", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SetMoitenCheesecake", "item_value": "35.00", "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	[[[[55.0, 40.0], [204.0, 29.0], [205.0, 42.0], [56.0, 53.0]], ('Lot T-015b Leve 3.M1d valey City', 0.7493884563446045)], [[[74.0, 31.0], [190.0, 23.0], [191.0, 34.0], [75.0, 42.0]], ('YONCYA HANAMRU MID VALLEY', 0.749265730381012)], [[[70.0, 47.0], [184.0, 37.0], [185.0, 51.0], [71.0, 61.0]], ('Lingkaran Syed Putre59200', 0.9085537195205688)], [[[70.0, 61.0], [193.0, 52.0], [194.0, 66.0], [71.0, 75.0]], ('GST Reg.N002105827328)', 0.863996684551239)], [[[77.0, 74.0], [171.0, 70.0], [171.0, 83.0], [78.0, 88.0]], ('Tax Invoice', 0.9175500273704529)], [[[40.0, 95.0], [146.0, 88.0], [148.0, 105.0], [41.0, 112.0]], ('Table DINE-4', 0.9337651133537292)], [[[37.0, 115.0], [108.0, 111.0], [109.0, 124.0], [38.0, 128.0]], ('ck#686340', 0.8422727584838867)], [[[151.0, 111.0], [197.0, 106.0], [199.0, 120.0], [152.0, 125.0]], ('Paxs):0', 0.8670111298561096)], [[[34.0, 125.0], [167.0, 118.0], [167.0, 131.0], [35.0, 138.0]], ('te16-10-2015 17:55:17', 0.9239752888679504)], [[[34.0, 134.0], [97.0, 133.0], [97.0, 144.0], [35.0, 145.0]], ('Csshter: Siti', 0.7706199288368225)], [[[32.0, 152.0], [87.0, 152.0], [87.0, 163.0], [32.0, 163.0]], ('Cscription', 0.8683444857597351)], [[[100.0, 151.0], [121.0, 151.0], [121.0, 163.0], [100.0, 163.0]], ('Oty', 0.8745037913322449)], [[[134.0, 150.0], [172.0, 150.0], [172.0, 161.0], [134.0, 161.0]], ('U.price', 0.9811598658561707)], [[[169.0, 147.0], [222.0, 142.0], [224.0, 156.0], [170.0, 161.0]], ('Total TAX', 0.8647425174713135)], [[[28.0, 170.0], [77.0, 170.0], [77.0, 184.0], [28.0, 184.0]], ('Eceen Tea', 0.8382144570350647)], [[[96.0, 179.0], [115.0, 179.0], [115.0, 191.0], [96.0, 191.0]], ('1x', 0.8143350481987)], [[[139.0, 179.0], [163.0, 179.0], [163.0, 191.0], [139.0, 191.0]], ('1.50', 0.9967381358146667)], [[[181.0, 176.0], [227.0, 174.0], [228.0, 188.0], [182.0, 190.0]], ('1.50SR', 0.9807901382446289)], [[[24.0, 190.0], [128.0, 189.0], [128.0, 203.0], [24.0, 204.0]], ('tana Beef Bow R', 0.8978402018547058)], [[[90.0, 202.0], [114.0, 202.0], [114.0, 213.0], [90.0, 213.0]], ('1x', 0.8087389469146729)], [[[136.0, 200.0], [163.0, 200.0], [163.0, 212.0], [136.0, 212.0]], ('13.80', 0.9949506521224976)], [[[179.0, 197.0], [210.0, 194.0], [211.0, 210.0], [181.0, 212.0]], ('13.80', 0.9904200434684753)], [[[210.0, 196.0], [230.0, 196.0], [230.0, 208.0], [210.0, 208.0]], ('SR', 0.9843180179595947)], [[[21.0, 212.0], [109.0, 211.0], [110.0, 225.0], [21.0, 226.0]], ('iso+Green Tea', 0.9587039351463318)], [[[93.0, 223.0], [113.0, 223.0], [113.0, 235.0], [93.0, 235.0]], ('1x', 0.8830492496490479)], [[[136.0, 221.0], [163.0, 218.0], [164.0, 233.0], [138.0, 235.0]], ('3.80', 0.9936000108718872)], [[[185.0, 219.0], [210.0, 219.0], [210.0, 231.0], [185.0, 231.0]], ('3.80', 0.996238112449646)], [[[216.0, 218.0], [232.0, 218.0], [232.0, 231.0], [216.0, 231.0]], ('SR', 0.994676947593689)], [[[18.0, 234.0], [211.0, 227.0], [212.0, 244.0], [18.0, 251.0]], ('tana Spicy Chic Tenpura Bow1R', 0.8740026354789734)], [[[91.0, 247.0], [112.0, 247.0], [112.0, 258.0], [91.0, 258.0]], ('1x', 0.9008274078369141)], [[[136.0, 245.0], [163.0, 245.0], [163.0, 256.0], [136.0, 256.0]], ('14.80', 0.9952465295791626)], [[[183.0, 241.0], [215.0, 241.0], [215.0, 255.0], [183.0, 255.0]], ('14.80', 0.992316722869873)], [[[219.0, 241.0], [234.0, 241.0], [234.0, 253.0], [219.0, 253.0]], ('SR', 0.9953737258911133)], [[[13.0, 272.0], [135.0, 268.0], [136.0, 282.0], [14.0, 286.0]], ('1ta1 Excluding GST', 0.8667916655540466)], [[[203.0, 267.0], [238.0, 264.0], [239.0, 279.0], [204.0, 282.0]], ('31.9', 0.9639267921447754)], [[[11.0, 285.0], [81.0, 283.0], [82.0, 297.0], [12.0, 299.0]], ('ST Payabie:', 0.8956318497657776)], [[[206.0, 280.0], [239.0, 277.0], [240.0, 292.0], [208.0, 295.0]], ('1.9', 0.9862008094787598)], [[[9.0, 299.0], [151.0, 295.0], [152.0, 309.0], [10.0, 314.0]], ('Total Inclusive of GST', 0.9045190811157227)], [[[206.0, 294.0], [238.0, 291.0], [239.0, 306.0], [208.0, 309.0]], ('33.90', 0.9896496534347534)], [[[4.0, 327.0], [74.0, 324.0], [75.0, 350.0], [5.0, 353.0]], ('TOTAL:', 0.9761540293693542)], [[[180.0, 322.0], [244.0, 322.0], [244.0, 349.0], [180.0, 349.0]], ('33.90', 0.9971489906311035)], [[[0.0, 365.0], [70.0, 365.0], [70.0, 382.0], [0.0, 382.0]], ('losed:007', 0.9174803495407104)], [[[114.0, 364.0], [179.0, 361.0], [180.0, 378.0], [114.0, 381.0]], ('16-10-2015', 0.9881561398506165)], [[[194.0, 363.0], [247.0, 363.0], [247.0, 379.0], [194.0, 379.0]], ('17:56:11', 0.9427297115325928)], [[[0.0, 383.0], [123.0, 381.0], [123.0, 396.0], [0.0, 398.0]], ('Server: Nicholas Lam', 0.8892587423324585)], [[[0.0, 414.0], [35.0, 414.0], [35.0, 432.0], [0.0, 432.0]], ('HSH', 0.7603375315666199)], [[[215.0, 412.0], [255.0, 412.0], [255.0, 431.0], [215.0, 431.0]], ('50.00', 0.9971632957458496)], [[[0.0, 431.0], [45.0, 429.0], [46.0, 447.0], [0.0, 449.0]], ('HANGE:', 0.8743388056755066)], [[[217.0, 430.0], [257.0, 430.0], [257.0, 448.0], [217.0, 448.0]], ('16.10', 0.9912474751472473)]]	{"store_name": "", "store_addr": "LotT-015b,Level3,Hidvalleycity KualaLumpurMalaysta", "telephone": "", "date": "16-10-2015 16-10-2015", "time": "17:55:17 17:56:11", "subtotal": "31.98", "tax": "", "total": "33.90 33.90", "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	[[[[44.0, 86.0], [284.0, 83.0], [284.0, 100.0], [44.0, 103.0]], ('SAINT GERMAIN', 0.9606046080589294)], [[[108.0, 104.0], [219.0, 104.0], [219.0, 120.0], [108.0, 120.0]], ('BAKERY', 0.9961696267127991)], [[[65.0, 122.0], [284.0, 120.0], [284.0, 137.0], [65.0, 139.0]], ('1296 SOUTH BERETANIA ST.', 0.9228871464729309)], [[[100.0, 140.0], [222.0, 139.0], [222.0, 155.0], [100.0, 156.0]], ('808593-8711', 0.9901330471038818)], [[[35.0, 176.0], [68.0, 176.0], [68.0, 194.0], [35.0, 194.0]], ('REG', 0.9976970553398132)], [[[129.0, 175.0], [304.0, 174.0], [304.0, 191.0], [129.0, 192.0]], ('10-11-200808:13AM', 0.9619964361190796)], [[[36.0, 194.0], [95.0, 194.0], [95.0, 212.0], [36.0, 212.0]], ('MyrlB', 0.8516766428947449)], [[[126.0, 193.0], [186.0, 193.0], [186.0, 210.0], [126.0, 210.0]], ('MC#02', 0.9767968058586121)], [[[247.0, 192.0], [305.0, 192.0], [305.0, 209.0], [247.0, 209.0]], ('000012', 0.9971516728401184)], [[[46.0, 229.0], [140.0, 229.0], [140.0, 246.0], [46.0, 246.0]], ('1BAGUETTE', 0.9838048219680786)], [[[258.0, 229.0], [304.0, 229.0], [304.0, 244.0], [258.0, 244.0]], ('$3.10', 0.9942539930343628)], [[[45.0, 248.0], [203.0, 247.0], [203.0, 264.0], [46.0, 265.0]], ('1 CHOCO CVR DONUT', 0.9169712066650391)], [[[257.0, 246.0], [305.0, 246.0], [305.0, 264.0], [257.0, 264.0]], ('$1.35', 0.9932185411453247)], [[[46.0, 267.0], [196.0, 267.0], [196.0, 283.0], [46.0, 283.0]], ('1 APPLE TURNOVER', 0.9403916001319885)], [[[255.0, 264.0], [306.0, 261.0], [306.0, 280.0], [256.0, 282.0]], ('$2.00', 0.9959446787834167)], [[[46.0, 284.0], [123.0, 284.0], [123.0, 301.0], [46.0, 301.0]], ('1JESUIT', 0.9765546917915344)], [[[257.0, 282.0], [306.0, 282.0], [306.0, 300.0], [257.0, 300.0]], ('$2.70', 0.8199971318244934)], [[[47.0, 303.0], [140.0, 303.0], [140.0, 319.0], [47.0, 319.0]], ('1BEARCLAW', 0.9905839562416077)], [[[258.0, 301.0], [306.0, 301.0], [306.0, 318.0], [258.0, 318.0]], ('$1.90', 0.9666377902030945)], [[[46.0, 320.0], [176.0, 319.0], [176.0, 336.0], [47.0, 337.0]], ('1GLAZED DONUT', 0.955135703086853)], [[[258.0, 318.0], [306.0, 318.0], [306.0, 336.0], [258.0, 336.0]], ('$1.00', 0.996890664100647)], [[[47.0, 339.0], [150.0, 339.0], [150.0, 355.0], [47.0, 355.0]], ('105 PASTRY', 0.943255603313446)], [[[258.0, 336.0], [306.0, 336.0], [306.0, 354.0], [258.0, 354.0]], ('$1.90', 0.9182453155517578)], [[[66.0, 356.0], [159.0, 356.0], [159.0, 373.0], [66.0, 373.0]], ('TAXBLE AMT', 0.955065131187439)], [[[249.0, 354.0], [306.0, 354.0], [306.0, 372.0], [249.0, 372.0]], ('$13.95', 0.9288811683654785)], [[[68.0, 376.0], [159.0, 376.0], [159.0, 390.0], [68.0, 390.0]], ('4.712%TAX', 0.9806897044181824)], [[[258.0, 372.0], [307.0, 372.0], [307.0, 390.0], [258.0, 390.0]], ('$0.66', 0.9833494424819946)], [[[66.0, 393.0], [86.0, 393.0], [86.0, 409.0], [66.0, 409.0]], ('TL', 0.9981392621994019)], [[[195.0, 391.0], [304.0, 390.0], [304.0, 407.0], [195.0, 408.0]], ('$14.61', 0.9660124778747559)], [[[65.0, 410.0], [107.0, 410.0], [107.0, 428.0], [65.0, 428.0]], ('CASH', 0.9981309175491333)], [[[250.0, 409.0], [307.0, 409.0], [307.0, 426.0], [250.0, 426.0]], ('$20.00', 0.9913399815559387)], [[[66.0, 428.0], [89.0, 428.0], [89.0, 446.0], [66.0, 446.0]], ('CG', 0.9927668571472168)], [[[259.0, 427.0], [307.0, 427.0], [307.0, 444.0], [259.0, 444.0]], ('$5.39', 0.960269570350647)]]	{"store_name": "SAINTGERMAIN BAKERY", "store_addr": "1296SOUTHBERETANIAST.", "telephone": "(808)593-8711", "date": "10-11-2008", "time": "08:13AM", "subtotal": "$13.95", "tax": "$0.66", "total": "$14.61", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BAGUETTE", "item_value": "$3.10", "item_quantity": "1"}, {"item_key": "", "item_name": "CHOCOCVRDONUT", "item_value": "$1.35", "item_quantity": "1"}, {"item_key": "", "item_name": "APPLETURNOVER", "item_value": "$2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JESUIT", "item_value": "$2.70", "item_quantity": "1"}, {"item_key": "", "item_name": "BEARCLAW", "item_value": "$1.90", "item_quantity": "1"}, {"item_key": "", "item_name": "GLAZEDDONUT", "item_value": "$1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "05PASTRY", "item_value": "$1.90", "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	[[[[312.0, 50.0], [732.0, 36.0], [733.0, 65.0], [313.0, 79.0]], ('Pizza Hut Restaurant Sdn. Bhd', 0.9490763545036316)], [[[457.0, 78.0], [601.0, 75.0], [602.0, 105.0], [457.0, 109.0]], ('113925-U', 0.9813422560691833)], [[[272.0, 120.0], [799.0, 106.0], [800.0, 135.0], [273.0, 149.0]], ('Lv1 7 Tower 1VSquare@PJ City Centre', 0.9024722576141357)], [[[303.0, 152.0], [772.0, 143.0], [772.0, 176.0], [304.0, 185.0]], ('Jln Utara46200 P.JayaSelangor', 0.9424516558647156)], [[[475.0, 224.0], [609.0, 218.0], [611.0, 253.0], [477.0, 259.0]], ('PIZZA HUT', 0.9644694924354553)], [[[339.0, 265.0], [729.0, 256.0], [730.0, 287.0], [340.0, 295.0]], ('PIZZA HUT CITY PARK SEREMBAN', 0.9451995491981506)], [[[424.0, 300.0], [661.0, 295.0], [662.0, 325.0], [425.0, 330.0]], ('Store 10:3010260', 0.8980169296264648)], [[[398.0, 339.0], [666.0, 328.0], [667.0, 361.0], [400.0, 372.0]], ('GST 10:001750278144', 0.9379222393035889)], [[[674.0, 357.0], [817.0, 348.0], [819.0, 378.0], [676.0, 387.0]], ('53Waiter3', 0.9798554182052612)], [[[262.0, 377.0], [418.0, 371.0], [420.0, 406.0], [263.0, 412.0]], ('1PIZZAHUT1', 0.9220190048217773)], [[[639.0, 419.0], [824.0, 408.0], [826.0, 441.0], [641.0, 452.0]], ('Cust.Count1', 0.9240320324897766)], [[[265.0, 447.0], [449.0, 434.0], [451.0, 463.0], [267.0, 476.0]], ('Docket:282755', 0.9289146661758423)], [[[712.0, 449.0], [827.0, 443.0], [829.0, 478.0], [714.0, 484.0]], ('TBL2/1', 0.9666703343391418)], [[[265.0, 480.0], [519.0, 463.0], [521.0, 491.0], [267.0, 509.0]], ('05 Apr17 13:3111', 0.8668452501296997)], [[[714.0, 517.0], [805.0, 511.0], [807.0, 543.0], [716.0, 549.0]], ('8.90 S', 0.9202064871788025)], [[[308.0, 539.0], [551.0, 524.0], [553.0, 555.0], [310.0, 569.0]], ('LUNCH XPRESS IB E', 0.9150177240371704)], [[[779.0, 549.0], [805.0, 545.0], [811.0, 579.0], [785.0, 583.0]], ('S', 0.8022961616516113)], [[[323.0, 574.0], [568.0, 559.0], [570.0, 588.0], [325.0, 602.0]], ('MD BF ARRAB SPG E', 0.9048152565956116)], [[[782.0, 582.0], [810.0, 582.0], [810.0, 615.0], [782.0, 615.0]], ('S', 0.8970964550971985)], [[[327.0, 607.0], [459.0, 599.0], [461.0, 630.0], [328.0, 637.0]], ('MD SOUP E', 0.9047166109085083)], [[[788.0, 618.0], [808.0, 618.0], [808.0, 648.0], [788.0, 648.0]], ('S', 0.6760194897651672)], [[[327.0, 642.0], [543.0, 629.0], [544.0, 660.0], [329.0, 672.0]], ('MD ISOYA BEAN E', 0.9116464853286743)], [[[319.0, 677.0], [395.0, 677.0], [395.0, 707.0], [319.0, 707.0]], ('38154', 0.9987510442733765)], [[[724.0, 686.0], [813.0, 678.0], [815.0, 703.0], [726.0, 711.0]], ('0.00Z', 0.8853497505187988)], [[[318.0, 714.0], [522.0, 701.0], [524.0, 731.0], [320.0, 744.0]], ('GES REDEEM E E', 0.9085016846656799)], [[[727.0, 711.0], [820.0, 701.0], [822.0, 726.0], [730.0, 736.0]], ('0.00 S', 0.87934809923172)], [[[320.0, 749.0], [564.0, 728.0], [567.0, 754.0], [322.0, 776.0]], ('NEW GES GB+SOUP E', 0.9193068742752075)], [[[333.0, 776.0], [445.0, 764.0], [447.0, 789.0], [336.0, 801.0]], ('MD GB E', 0.8046683073043823)], [[[732.0, 779.0], [812.0, 771.0], [816.0, 801.0], [735.0, 809.0]], ('10.00', 0.9959514737129211)], [[[331.0, 796.0], [467.0, 783.0], [470.0, 811.0], [334.0, 824.0]], ('MD SOUP E', 0.9121773838996887)], [[[313.0, 822.0], [382.0, 818.0], [384.0, 848.0], [315.0, 852.0]], ('CASH', 0.9982441663742065)], [[[756.0, 832.0], [825.0, 826.0], [828.0, 858.0], [759.0, 864.0]], ('8.90', 0.9959970712661743)], [[[761.0, 864.0], [834.0, 859.0], [836.0, 889.0], [763.0, 894.0]], ('0.89', 0.9856253862380981)], [[[311.0, 880.0], [468.0, 866.0], [471.0, 896.0], [314.0, 911.0]], ('Sub Total', 0.9301074147224426)], [[[769.0, 899.0], [839.0, 891.0], [843.0, 921.0], [773.0, 929.0]], ('9.79', 0.9915988445281982)], [[[311.0, 916.0], [549.0, 892.0], [552.0, 921.0], [314.0, 944.0]], ('Service Charge:', 0.9702634215354919)], [[[776.0, 931.0], [849.0, 924.0], [851.0, 956.0], [779.0, 962.0]], ('0.01', 0.9949255585670471)], [[[311.0, 949.0], [408.0, 939.0], [412.0, 971.0], [314.0, 981.0]], ('Total:', 0.9695304036140442)], [[[783.0, 967.0], [857.0, 961.0], [860.0, 993.0], [786.0, 999.0]], ('9.80', 0.9943282604217529)], [[[307.0, 983.0], [425.0, 970.0], [429.0, 1006.0], [311.0, 1018.0]], ('Rnd Adj', 0.9847159385681152)], [[[778.0, 1006.0], [865.0, 997.0], [869.0, 1034.0], [782.0, 1043.0]], ('10.00', 0.9970449209213257)], [[[307.0, 1023.0], [493.0, 1000.0], [497.0, 1034.0], [311.0, 1056.0]], ('TtI Aft Rnd', 0.8822702765464783)], [[[793.0, 1044.0], [868.0, 1037.0], [872.0, 1076.0], [797.0, 1083.0]], ('0.20', 0.9969393610954285)], [[[307.0, 1063.0], [444.0, 1045.0], [448.0, 1079.0], [312.0, 1096.0]], ('Payment:', 0.9838293790817261)], [[[798.0, 1086.0], [874.0, 1079.0], [877.0, 1116.0], [802.0, 1123.0]], ('0.55', 0.9965994358062744)], [[[309.0, 1103.0], [497.0, 1082.0], [501.0, 1117.0], [313.0, 1138.0]], ('Change Due:', 0.9327547550201416)], [[[312.0, 1143.0], [418.0, 1130.0], [423.0, 1167.0], [317.0, 1180.0]], ('6%GST', 0.9947994351387024)], [[[340.0, 1184.0], [827.0, 1129.0], [832.0, 1164.0], [344.0, 1220.0]], ('1CL0SED05 Apr 17 14:05:32', 0.8956411480903625)], [[[285.0, 1233.0], [933.0, 1160.0], [937.0, 1199.0], [289.0, 1271.0]], ('Visit www.pizzahutsurvey.com.my,share', 0.9693372845649719)], [[[307.0, 1280.0], [933.0, 1204.0], [937.0, 1237.0], [311.0, 1313.0]], ('your experience within 5 Days and get', 0.952510416507721)], [[[312.0, 1323.0], [940.0, 1249.0], [944.0, 1284.0], [317.0, 1358.0]], ('Free 1 Garlic Bread & 1 Mushroom Soup', 0.8872990012168884)], [[[382.0, 1359.0], [611.0, 1334.0], [615.0, 1369.0], [386.0, 1395.0]], ('Survey Code', 0.9578306674957275)], [[[319.0, 1413.0], [955.0, 1339.0], [959.0, 1374.0], [323.0, 1448.0]], ('Dine In/Take Away With any pizza or', 0.9480023980140686)], [[[337.0, 1458.0], [917.0, 1385.0], [922.0, 1423.0], [342.0, 1497.0]], ('pasta purchase on your next visit', 0.9551689028739929)], [[[308.0, 1505.0], [956.0, 1425.0], [961.0, 1464.0], [313.0, 1543.0]], ('Del ivery:With Min.purchase of RM20', 0.9230553507804871)], [[[363.0, 1541.0], [929.0, 1469.0], [934.0, 1502.0], [368.0, 1575.0]], ('*Val id 30 Days from receipt date', 0.9212488532066345)], [[[365.0, 1577.0], [932.0, 1502.0], [936.0, 1531.0], [369.0, 1599.0]], ('Valid with Original Receipt oniy.', 0.8733238577842712)], [[[669.0, 1568.0], [897.0, 1537.0], [901.0, 1566.0], [673.0, 1596.0]], ('ion per visit.', 0.9109814763069153)], [[[813.0, 1580.0], [873.0, 1580.0], [873.0, 1597.0], [813.0, 1597.0]], ('es', 0.9629666805267334)]]	{"store_name": "PizzaHutRestaurantSdn.Bhd. PIZZAHUT", "store_addr": "(113925-U) Lvl7Tower1,VSquare@PJCityCentre JlnUtara,46200P.Jaya,Selangor", "telephone": "", "date": "05Apr17 05Apr17", "time": "14:05:32", "subtotal": "8.90", "tax": "0.55", "total": "9.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LUNCHXPRESS1BE", "item_value": "8.90", "item_quantity": "1"}, {"item_key": "", "item_name": "MDBFARRABSPGE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MDSOUPE", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MDISOYABEANE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "GESREDEEMEE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "NEWGESGB+SOUPE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MDGBE", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "MDSOUPE", "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	[[[[109.0, 17.0], [219.0, 17.0], [219.0, 42.0], [109.0, 42.0]], ('TARGET', 0.9953328967094421)], [[[119.0, 40.0], [215.0, 40.0], [215.0, 50.0], [119.0, 50.0]], ('EXPECTMORE.PAY LESS', 0.9294425845146179)], [[[47.0, 64.0], [166.0, 67.0], [165.0, 81.0], [47.0, 78.0]], ('COLUMBIA HEIGHTS', 0.9700448513031006)], [[[166.0, 67.0], [242.0, 67.0], [242.0, 79.0], [166.0, 79.0]], ('202-777-3773', 0.9796666502952576)], [[[36.0, 79.0], [161.0, 79.0], [161.0, 92.0], [36.0, 92.0]], ('01/29/201204:15PM', 0.9676023125648499)], [[[158.0, 78.0], [267.0, 78.0], [267.0, 91.0], [158.0, 91.0]], ('EXPIRES04/28/12', 0.9791362881660461)], [[[11.0, 137.0], [59.0, 137.0], [59.0, 151.0], [11.0, 151.0]], ('GROCERY', 0.9955682754516602)], [[[12.0, 149.0], [69.0, 149.0], [69.0, 160.0], [12.0, 160.0]], ('071061556', 0.9921567440032959)], [[[105.0, 148.0], [175.0, 148.0], [175.0, 162.0], [105.0, 162.0]], ('AF SEA SALT', 0.9339269399642944)], [[[104.0, 158.0], [156.0, 160.0], [156.0, 174.0], [103.0, 172.0]], ('BAREFOOT', 0.9711388349533081)], [[[196.0, 149.0], [214.0, 149.0], [214.0, 163.0], [196.0, 163.0]], ('FN', 0.986901581287384)], [[[230.0, 149.0], [268.0, 149.0], [268.0, 163.0], [230.0, 163.0]], ('$2.99', 0.9891289472579956)], [[[11.0, 161.0], [71.0, 161.0], [71.0, 175.0], [11.0, 175.0]], ('213001168', 0.99433434009552)], [[[200.0, 163.0], [212.0, 163.0], [212.0, 172.0], [200.0, 172.0]], ('B', 0.7936269044876099)], [[[225.0, 161.0], [268.0, 161.0], [268.0, 175.0], [225.0, 175.0]], ('$10.49', 0.9881830215454102)], [[[12.0, 173.0], [70.0, 173.0], [70.0, 184.0], [12.0, 184.0]], ('261020972', 0.9939842224121094)], [[[104.0, 171.0], [146.0, 171.0], [146.0, 185.0], [104.0, 185.0]], ('MORTON', 0.9971281886100769)], [[[196.0, 171.0], [214.0, 171.0], [214.0, 184.0], [196.0, 184.0]], ('FN', 0.9639570713043213)], [[[230.0, 173.0], [268.0, 170.0], [269.0, 184.0], [231.0, 187.0]], ('$7.48', 0.9899285435676575)], [[[104.0, 183.0], [183.0, 183.0], [183.0, 197.0], [104.0, 197.0]], ('4$1.87ea', 0.9884001016616821)], [[[12.0, 206.0], [42.0, 206.0], [42.0, 220.0], [12.0, 220.0]], ('HOME', 0.9986181259155273)], [[[11.0, 217.0], [72.0, 217.0], [72.0, 231.0], [11.0, 231.0]], ('070053783', 0.995884895324707)], [[[104.0, 217.0], [169.0, 217.0], [169.0, 231.0], [104.0, 231.0]], ('CAN OPENER', 0.9768409729003906)], [[[200.0, 217.0], [214.0, 217.0], [214.0, 231.0], [200.0, 231.0]], ('T', 0.848300576210022)], [[[232.0, 217.0], [269.0, 217.0], [269.0, 232.0], [232.0, 232.0]], ('$2.99', 0.9874932169914246)], [[[11.0, 240.0], [120.0, 240.0], [120.0, 254.0], [11.0, 254.0]], ('STATIONERY-OFFICE', 0.9890180230140686)], [[[12.0, 253.0], [71.0, 253.0], [71.0, 264.0], [12.0, 264.0]], ('081030299', 0.9974463582038879)], [[[101.0, 251.0], [176.0, 249.0], [176.0, 263.0], [101.0, 265.0]], ('RING BINDER', 0.9522724747657776)], [[[203.0, 253.0], [211.0, 253.0], [211.0, 263.0], [203.0, 263.0]], ('T', 0.6397538185119629)], [[[232.0, 251.0], [269.0, 251.0], [269.0, 265.0], [232.0, 265.0]], ('$5.19', 0.994875431060791)], [[[12.0, 264.0], [70.0, 264.0], [70.0, 275.0], [12.0, 275.0]], ('081060227', 0.9973531365394592)], [[[105.0, 264.0], [180.0, 264.0], [180.0, 275.0], [105.0, 275.0]], ('BUBL ENVLOPE', 0.9503123164176941)], [[[232.0, 262.0], [269.0, 262.0], [269.0, 277.0], [232.0, 277.0]], ('b1$', 0.5672919750213623)], [[[12.0, 276.0], [71.0, 276.0], [71.0, 287.0], [12.0, 287.0]], ('081061373', 0.9979940056800842)], [[[105.0, 274.0], [180.0, 274.0], [180.0, 285.0], [105.0, 285.0]], ('BUBL ENVLOPE', 0.9494707584381104)], [[[232.0, 272.0], [270.0, 272.0], [270.0, 290.0], [232.0, 290.0]], ('$2.03', 0.9834529757499695)], [[[12.0, 287.0], [65.0, 287.0], [65.0, 298.0], [12.0, 298.0]], ('99000022', 0.9989057779312134)], [[[105.0, 287.0], [180.0, 287.0], [180.0, 298.0], [105.0, 298.0]], ('STORE COUPON', 0.9686107635498047)], [[[233.0, 285.0], [273.0, 285.0], [273.0, 299.0], [233.0, 299.0]], ('$0.10-', 0.9762601256370544)], [[[159.0, 307.0], [210.0, 307.0], [210.0, 321.0], [159.0, 321.0]], ('SUBTOTAL', 0.9916256666183472)], [[[227.0, 307.0], [269.0, 307.0], [269.0, 322.0], [227.0, 322.0]], ('$32.54', 0.9857259392738342)], [[[26.0, 319.0], [212.0, 319.0], [212.0, 333.0], [26.0, 333.0]], ('T=C TAX6.0000% on$11.58', 0.9167529940605164)], [[[230.0, 318.0], [269.0, 318.0], [269.0, 333.0], [230.0, 333.0]], ('690$', 0.9549190998077393)], [[[23.0, 329.0], [171.0, 330.0], [171.0, 345.0], [23.0, 343.0]], ('B=DC TAX10.0000%on', 0.9172115325927734)], [[[165.0, 331.0], [213.0, 328.0], [214.0, 342.0], [166.0, 345.0]], ('$10.49', 0.9851441979408264)], [[[231.0, 330.0], [269.0, 330.0], [269.0, 344.0], [231.0, 344.0]], ('$1.05', 0.9696213006973267)], [[[177.0, 342.0], [212.0, 342.0], [212.0, 357.0], [177.0, 357.0]], ('TOTAL', 0.9970138669013977)], [[[226.0, 342.0], [269.0, 342.0], [269.0, 357.0], [226.0, 357.0]], ('$34.28', 0.9927466511726379)], [[[106.0, 365.0], [211.0, 365.0], [211.0, 378.0], [106.0, 378.0]], ('x2002 AMEXCHARGE', 0.9259886741638184)], [[[227.0, 365.0], [269.0, 365.0], [269.0, 379.0], [227.0, 379.0]], ('$34.28', 0.9917121529579163)], [[[19.0, 399.0], [285.0, 399.0], [285.0, 412.0], [19.0, 412.0]], ('REC#2-2029-2259-0089-7463-3 VCD#750-257-849', 0.9746958017349243)]]	{"store_name": "TARGET", "store_addr": "COLUMBIAHEIGHTS-", "telephone": "202-777-3773", "date": "01/29/2012", "time": "04:15PM", "subtotal": "$32.54", "tax": "$0.69 $1.05", "total": "$34.28 $34.28", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AFSEASALT", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "BAREFOOT", "item_value": "$10.49", "item_quantity": "1"}, {"item_key": "", "item_name": "MORTON", "item_value": "$7.48", "item_quantity": "1"}, {"item_key": "", "item_name": "CANOPENER", "item_value": "$2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "RINGBINDER", "item_value": "$5.19", "item_quantity": "1"}, {"item_key": "", "item_name": "BUBLENVLOPE", "item_value": "$1.47", "item_quantity": "1"}, {"item_key": "", "item_name": "BUBLENVLOPE", "item_value": "$2.03", "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	[[[[275.0, 28.0], [617.0, 32.0], [616.0, 66.0], [275.0, 63.0]], ('12/30/20127:03PM', 0.9826178550720215)], [[[731.0, 36.0], [1122.0, 45.0], [1121.0, 83.0], [730.0, 74.0]], ('Sales Receipt #108772', 0.9690735936164856)], [[[274.0, 74.0], [470.0, 78.0], [470.0, 113.0], [273.0, 109.0]], ('Store:REN', 0.9362005591392517)], [[[512.0, 126.0], [900.0, 131.0], [900.0, 169.0], [511.0, 164.0]], ('DBSHOES-RENO', 0.986565113067627)], [[[532.0, 177.0], [877.0, 183.0], [876.0, 216.0], [531.0, 210.0]], ('4827KIETZKE LANE', 0.9620646238327026)], [[[565.0, 224.0], [847.0, 227.0], [846.0, 260.0], [565.0, 257.0]], ('RENO,NV89509', 0.953768789768219)], [[[527.0, 272.0], [882.0, 272.0], [882.0, 305.0], [527.0, 305.0]], ('Phone:775)996-1900', 0.9482389092445374)], [[[277.0, 313.0], [489.0, 317.0], [488.0, 352.0], [276.0, 348.0]], ('CashierIcw', 0.964617133140564)], [[[275.0, 390.0], [392.0, 390.0], [392.0, 424.0], [275.0, 424.0]], ('Item#', 0.9698798060417175)], [[[682.0, 383.0], [742.0, 383.0], [742.0, 423.0], [682.0, 423.0]], ('Qty', 0.9966321587562561)], [[[802.0, 383.0], [890.0, 383.0], [890.0, 418.0], [802.0, 418.0]], ('Price', 0.9983180165290833)], [[[919.0, 381.0], [1067.0, 385.0], [1066.0, 420.0], [918.0, 416.0]], ('Ext Price', 0.9590414762496948)], [[[282.0, 431.0], [392.0, 431.0], [392.0, 466.0], [282.0, 466.0]], ('10166', 0.9962259531021118)], [[[718.0, 428.0], [740.0, 428.0], [740.0, 454.0], [718.0, 454.0]], ('1', 0.8886439800262451)], [[[777.0, 426.0], [887.0, 426.0], [887.0, 456.0], [777.0, 456.0]], ('$20.00', 0.9966928362846375)], [[[958.0, 428.0], [1098.0, 428.0], [1098.0, 458.0], [958.0, 458.0]], ('$20.00T', 0.9772027134895325)], [[[295.0, 478.0], [619.0, 469.0], [620.0, 502.0], [296.0, 511.0]], ('LTO KPPURE2KS', 0.947813093662262)], [[[720.0, 511.0], [743.0, 511.0], [743.0, 537.0], [720.0, 537.0]], ('1', 0.9792967438697815)], [[[775.0, 506.0], [887.0, 506.0], [887.0, 541.0], [775.0, 541.0]], ('$20.00', 0.9959201812744141)], [[[957.0, 509.0], [1093.0, 509.0], [1093.0, 539.0], [957.0, 539.0]], ('$20.00T', 0.9802912473678589)], [[[283.0, 519.0], [392.0, 515.0], [394.0, 550.0], [284.0, 554.0]], ('10166', 0.9964157938957214)], [[[296.0, 563.0], [620.0, 547.0], [622.0, 581.0], [298.0, 597.0]], ('LTO KPPURE2KS', 0.9435704946517944)], [[[722.0, 594.0], [737.0, 594.0], [737.0, 615.0], [722.0, 615.0]], ('1', 0.9505659937858582)], [[[775.0, 590.0], [882.0, 590.0], [882.0, 620.0], [775.0, 620.0]], ('$19.99', 0.9959695339202881)], [[[950.0, 589.0], [1091.0, 585.0], [1092.0, 620.0], [951.0, 624.0]], ('$19.99 T', 0.9342520236968994)], [[[285.0, 607.0], [392.0, 603.0], [394.0, 636.0], [286.0, 640.0]], ('11899', 0.9974498748779297)], [[[303.0, 651.0], [549.0, 636.0], [551.0, 669.0], [305.0, 684.0]], ('DPNWDB176', 0.991719126701355)], [[[785.0, 675.0], [915.0, 675.0], [915.0, 705.0], [785.0, 705.0]], ('Subtotal:', 0.9619393944740295)], [[[988.0, 672.0], [1094.0, 666.0], [1096.0, 701.0], [990.0, 707.0]], ('$59.99', 0.997816801071167)], [[[720.0, 718.0], [912.0, 718.0], [912.0, 746.0], [720.0, 746.0]], ('7.725% Tax', 0.8551408648490906)], [[[979.0, 715.0], [1093.0, 707.0], [1096.0, 742.0], [982.0, 750.0]], ('+$4.63', 0.9895143508911133)], [[[561.0, 725.0], [639.0, 721.0], [641.0, 749.0], [563.0, 753.0]], ('reno', 0.998043954372406)], [[[638.0, 759.0], [915.0, 759.0], [915.0, 793.0], [638.0, 793.0]], ('RECEIPT TOTAL:', 0.9455100297927856)], [[[986.0, 757.0], [1092.0, 751.0], [1094.0, 785.0], [988.0, 792.0]], ('$64.62', 0.9949999451637268)], [[[378.0, 845.0], [667.0, 823.0], [669.0, 856.0], [380.0, 878.0]], ('Debit Card:$64.62', 0.9421974420547485)]]	{"store_name": "DBSHOES-RENO", "store_addr": "RENO,NV89509 4827KIETZKELANE", "telephone": "(775)996-1900", "date": "12/30/2012", "time": "7:03PM", "subtotal": "$59.99", "tax": "$4.63", "total": "DebitCard:$64.62 $64.62", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DPNWDB176", "item_value": "$19.99T", "item_quantity": "1"}, {"item_key": "", "item_name": "LTOKPPURE2KS", "item_value": "$20.00T", "item_quantity": "1"}, {"item_key": "", "item_name": "LTOKPPURE2KS", "item_value": "$20.00T", "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	[[[[118.0, 3.0], [216.0, 3.0], [216.0, 20.0], [118.0, 20.0]], ('Drive Thru', 0.9514423608779907)], [[[68.0, 19.0], [161.0, 18.0], [161.0, 32.0], [68.0, 33.0]], ('Order Number57', 0.9326418042182922)], [[[156.0, 42.0], [180.0, 42.0], [180.0, 63.0], [156.0, 63.0]], ('BB', 0.9953364133834839)], [[[69.0, 62.0], [124.0, 62.0], [124.0, 76.0], [69.0, 76.0]], ('Register:3', 0.9378417134284973)], [[[165.0, 60.0], [233.0, 58.0], [233.0, 72.0], [165.0, 74.0]], ('Tran Seq No', 0.915993332862854)], [[[239.0, 58.0], [265.0, 58.0], [265.0, 70.0], [239.0, 70.0]], ('47457', 0.9942801594734192)], [[[71.0, 76.0], [144.0, 76.0], [144.0, 87.0], [71.0, 87.0]], ('Cashfer:AnaJ.', 0.8761228322982788)], [[[70.0, 86.0], [175.0, 84.0], [175.0, 98.0], [70.0, 100.0]], ('13pC MLD KX DNR CHB', 0.8614020943641663)], [[[241.0, 80.0], [268.0, 80.0], [268.0, 95.0], [241.0, 95.0]], ('7.29', 0.9787340760231018)], [[[99.0, 98.0], [147.0, 98.0], [147.0, 112.0], [99.0, 112.0]], ('Breast pc', 0.9591312408447266)], [[[99.0, 108.0], [140.0, 111.0], [139.0, 125.0], [99.0, 122.0]], ('Wing pc', 0.7694841623306274)], [[[98.0, 120.0], [139.0, 123.0], [138.0, 137.0], [98.0, 134.0]], ('Wing.pc', 0.7981138229370117)], [[[99.0, 133.0], [156.0, 131.0], [156.0, 146.0], [99.0, 147.0]], ('Caj Fry SL', 0.9096309542655945)], [[[100.0, 144.0], [139.0, 144.0], [139.0, 158.0], [100.0, 158.0]], ('Biscuft', 0.9152368307113647)], [[[99.0, 157.0], [153.0, 155.0], [153.0, 169.0], [99.0, 171.0]], ('Sw Tea MED', 0.8333438038825989)], [[[69.0, 168.0], [177.0, 166.0], [177.0, 180.0], [69.0, 182.0]], ('13pc KLD MX DNR CHB', 0.8227616548538208)], [[[246.0, 164.0], [272.0, 164.0], [272.0, 179.0], [246.0, 179.0]], ('7.29', 0.9716938734054565)], [[[100.0, 182.0], [142.0, 182.0], [142.0, 193.0], [100.0, 193.0]], ('Thigh pc', 0.9039319753646851)], [[[99.0, 203.0], [140.0, 206.0], [139.0, 220.0], [99.0, 217.0]], ('Wing pc', 0.8523530960083008)], [[[99.0, 216.0], [157.0, 214.0], [157.0, 229.0], [99.0, 230.0]], ('Caj Fry SHL', 0.8946681618690491)], [[[100.0, 228.0], [144.0, 228.0], [144.0, 242.0], [100.0, 242.0]], ('Biscult"', 0.8423947095870972)], [[[98.0, 241.0], [154.0, 239.0], [154.0, 253.0], [98.0, 255.0]], ('Sw Tea MED', 0.8578006029129028)], [[[68.0, 253.0], [163.0, 252.0], [163.0, 267.0], [68.0, 268.0]], ('1Blackened Ranch', 0.9552991390228271)], [[[248.0, 249.0], [276.0, 249.0], [276.0, 264.0], [248.0, 264.0]], ('0.00', 0.9913599491119385)], [[[82.0, 279.0], [142.0, 277.0], [143.0, 292.0], [82.0, 294.0]], ('Sub.Total', 0.9520346522331238)], [[[242.0, 276.0], [279.0, 276.0], [279.0, 290.0], [242.0, 290.0]], ('$14.58', 0.9333910942077637)], [[[82.0, 293.0], [108.0, 293.0], [108.0, 307.0], [82.0, 307.0]], ('Tax:', 0.9451206922531128)], [[[247.0, 289.0], [278.0, 289.0], [278.0, 303.0], [247.0, 303.0]], ('$1.03', 0.9885319471359253)], [[[83.0, 306.0], [120.0, 306.0], [120.0, 320.0], [83.0, 320.0]], ('Total:', 0.9857264161109924)], [[[243.0, 302.0], [278.0, 302.0], [278.0, 316.0], [243.0, 316.0]], ('$15.61', 0.9850398898124695)], [[[80.0, 320.0], [164.0, 315.0], [164.0, 332.0], [81.0, 336.0]], ('Discount Total:', 0.9270839691162109)], [[[248.0, 315.0], [280.0, 315.0], [280.0, 330.0], [248.0, 330.0]], ('$0.00', 0.9973676800727844)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$14.58", "tax": "$1.03", "total": "$15.61", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BlackenedRanch", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SwTeaMED", "item_value": "7.29", "item_quantity": "1"}, {"item_key": "", "item_name": "Biscuit", "item_value": "7.29", "item_quantity": "1"}, {"item_key": "", "item_name": "CajFrySML", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Wingpc", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Legpc", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Thighpc", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "3pcMLDMXDNRCMB", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "SwTeaMED", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Biscuit", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CajFrySML", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Wingpc", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Wingpc", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Breastpc", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "3pcMLDMXDNRCMB", "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	[[[[204.0, 57.0], [388.0, 62.0], [388.0, 83.0], [203.0, 78.0]], ('New Orleans,LA', 0.9012566804885864)], [[[227.0, 102.0], [355.0, 102.0], [355.0, 123.0], [227.0, 123.0]], ("Huck Finn's", 0.9116485118865967)], [[[194.0, 123.0], [401.0, 126.0], [401.0, 150.0], [193.0, 147.0]], ('135 Decatur Street', 0.9584404826164246)], [[[190.0, 147.0], [391.0, 150.0], [391.0, 173.0], [189.0, 170.0]], ('New 0r1eans70130', 0.926382303237915)], [[[165.0, 170.0], [415.0, 175.0], [415.0, 199.0], [165.0, 194.0]], ('Phone:504)529-3600', 0.9472607374191284)], [[[61.0, 212.0], [116.0, 214.0], [114.0, 240.0], [60.0, 238.0]], ('5001', 0.999161422252655)], [[[46.0, 263.0], [147.0, 268.0], [146.0, 295.0], [44.0, 290.0]], ('Tb181/1', 0.9452103972434998)], [[[244.0, 272.0], [346.0, 275.0], [345.0, 300.0], [243.0, 297.0]], ('Chk 1728', 0.9473177790641785)], [[[466.0, 276.0], [516.0, 276.0], [516.0, 303.0], [466.0, 303.0]], ('Gst', 0.9782202839851379)], [[[193.0, 302.0], [395.0, 305.0], [395.0, 328.0], [192.0, 325.0]], ('May211502:44PM', 0.9738506078720093)], [[[86.0, 349.0], [268.0, 357.0], [267.0, 384.0], [85.0, 376.0]], ('DineIn', 0.9969342350959778)], [[[58.0, 379.0], [241.0, 388.0], [239.0, 412.0], [57.0, 403.0]], ('3 Cajun Burger', 0.9443418383598328)], [[[447.0, 391.0], [516.0, 391.0], [516.0, 416.0], [447.0, 416.0]], ('36.00', 0.9965307116508484)], [[[58.0, 409.0], [240.0, 415.0], [240.0, 439.0], [57.0, 433.0]], ('1 Thin Catfish', 0.9378902316093445)], [[[448.0, 417.0], [519.0, 419.0], [518.0, 448.0], [447.0, 446.0]], ('14.00', 0.9602124094963074)], [[[78.0, 439.0], [173.0, 443.0], [172.0, 469.0], [77.0, 465.0]], ('Platter', 0.9956396222114563)], [[[103.0, 471.0], [292.0, 476.0], [291.0, 501.0], [102.0, 496.0]], ('Sub Caesar S1d', 0.9435413479804993)], [[[463.0, 477.0], [524.0, 479.0], [522.0, 509.0], [461.0, 507.0]], ('2.00', 0.9957913756370544)], [[[71.0, 502.0], [159.0, 504.0], [158.0, 532.0], [70.0, 530.0]], ('NR', 0.9828468561172485)], [[[71.0, 532.0], [143.0, 535.0], [142.0, 565.0], [69.0, 562.0]], ('100%', 0.9975153803825378)], [[[64.0, 568.0], [165.0, 570.0], [164.0, 598.0], [63.0, 596.0]], ('Dislike', 0.9935935139656067)], [[[457.0, 577.0], [534.0, 579.0], [533.0, 609.0], [456.0, 607.0]], ('16.00', 0.9940804243087769)], [[[36.0, 602.0], [234.0, 607.0], [233.0, 634.0], [35.0, 629.0]], ('1 French Fries', 0.9379229545593262)], [[[471.0, 612.0], [534.0, 614.0], [533.0, 644.0], [470.0, 642.0]], ('3.00', 0.9965018630027771)], [[[32.0, 636.0], [203.0, 640.0], [202.0, 669.0], [32.0, 665.0]], ('1 Side Salad', 0.9377190470695496)], [[[473.0, 646.0], [536.0, 648.0], [535.0, 681.0], [471.0, 679.0]], ('5.00', 0.9972959160804749)], [[[48.0, 705.0], [115.0, 710.0], [113.0, 744.0], [46.0, 739.0]], ('Food', 0.9977864623069763)], [[[463.0, 719.0], [539.0, 721.0], [539.0, 754.0], [462.0, 752.0]], ('60.00', 0.9928051233291626)], [[[45.0, 747.0], [182.0, 751.0], [181.0, 783.0], [44.0, 779.0]], ('Discounts', 0.9889313578605652)], [[[467.0, 756.0], [539.0, 758.0], [539.0, 792.0], [466.0, 790.0]], ('16.00', 0.9967150688171387)], [[[40.0, 784.0], [94.0, 787.0], [92.0, 824.0], [38.0, 821.0]], ('Tax', 0.9945365786552429)], [[[481.0, 798.0], [539.0, 798.0], [539.0, 833.0], [481.0, 833.0]], ('4.29', 0.9718554615974426)], [[[37.0, 825.0], [116.0, 827.0], [115.0, 864.0], [35.0, 862.0]], ('Total', 0.9803217053413391)], [[[396.0, 835.0], [539.0, 838.0], [539.0, 873.0], [395.0, 870.0]], ('48.29', 0.9924798011779785)]]	{"store_name": "HuckFirin's", "store_addr": "NewOrleans,LA 135DecaturStreet NewOrleans70130", "telephone": "(504)529-8600", "date": "May21'15", "time": "02:44PM", "subtotal": "60.00", "tax": "4,29", "total": "48.29", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CajunBurger", "item_value": "36.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ThinCatfish", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Platter", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SubCaesarSld", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FrenchFries", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SideSalad", "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	[[[[341.0, 155.0], [828.0, 148.0], [829.0, 211.0], [342.0, 219.0]], ("McDonald's Scape Branch", 0.9526811838150024)], [[[424.0, 214.0], [718.0, 206.0], [720.0, 258.0], [425.0, 265.0]], ('2 0rchard Link', 0.9269536733627319)], [[[468.0, 267.0], [697.0, 258.0], [699.0, 304.0], [470.0, 314.0]], ('02-43 Scape', 0.9541904926300049)], [[[405.0, 309.0], [739.0, 303.0], [740.0, 356.0], [406.0, 362.0]], ('Singapore 237978', 0.9741640686988831)], [[[427.0, 364.0], [718.0, 356.0], [720.0, 403.0], [429.0, 410.0]], ('Tel:6634 9498', 0.8947293162345886)], [[[465.0, 515.0], [696.0, 510.0], [698.0, 555.0], [466.0, 560.0]], ('TAX INVOICE', 0.9550052285194397)], [[[336.0, 608.0], [826.0, 605.0], [827.0, 657.0], [336.0, 660.0]], ('MFY Side 1 /DESSSide S', 0.9337813854217529)], [[[161.0, 706.0], [588.0, 719.0], [587.0, 759.0], [160.0, 746.0]], ('INV# 001570100090376', 0.9773322343826294)], [[[150.0, 808.0], [936.0, 810.0], [936.0, 860.0], [150.0, 858.0]], ('ORD #67 -REG #1-13/06/2016 14:41:24', 0.9195221066474915)], [[[151.0, 865.0], [334.0, 869.0], [333.0, 910.0], [150.0, 906.0]], ('QTY ITEM', 0.9427585005760193)], [[[890.0, 867.0], [1006.0, 867.0], [1006.0, 910.0], [890.0, 910.0]], ('TOTAL', 0.9984720945358276)], [[[196.0, 920.0], [648.0, 923.0], [648.0, 963.0], [196.0, 960.0]], ('1 SuperRed Burger Upz', 0.941111147403717)], [[[907.0, 917.0], [1009.0, 917.0], [1009.0, 965.0], [907.0, 965.0]], ('8.55', 0.9709309339523315)], [[[242.0, 973.0], [650.0, 977.0], [649.0, 1017.0], [242.0, 1013.0]], ('1 Med Ice Lemon Tea', 0.9147984385490417)], [[[910.0, 973.0], [1014.0, 973.0], [1014.0, 1022.0], [910.0, 1022.0]], ('0.50', 0.9962073564529419)], [[[198.0, 1028.0], [583.0, 1028.0], [583.0, 1068.0], [198.0, 1068.0]], ('1 Super Red Burger', 0.9134040474891663)], [[[910.0, 1027.0], [1014.0, 1027.0], [1014.0, 1075.0], [910.0, 1075.0]], ('6.10', 0.9832469820976257)], [[[193.0, 1083.0], [692.0, 1082.0], [692.0, 1123.0], [193.0, 1125.0]], ('1 McFlurry LemonCustard', 0.9496591091156006)], [[[914.0, 1085.0], [1016.0, 1085.0], [1016.0, 1135.0], [914.0, 1135.0]], ('2.90', 0.9963358044624329)], [[[133.0, 1194.0], [318.0, 1190.0], [319.0, 1236.0], [134.0, 1240.0]], ('Subtotal', 0.9907745122909546)], [[[898.0, 1195.0], [1020.0, 1199.0], [1018.0, 1249.0], [896.0, 1244.0]], ('18.05', 0.9854795336723328)], [[[133.0, 1245.0], [692.0, 1242.0], [692.0, 1293.0], [133.0, 1297.0]], ('Take-Out Total inc1 GST)', 0.9030959010124207)], [[[901.0, 1253.0], [1020.0, 1257.0], [1018.0, 1307.0], [899.0, 1303.0]], ('18.05', 0.9953204393386841)], [[[129.0, 1309.0], [429.0, 1303.0], [430.0, 1350.0], [130.0, 1355.0]], ('Cashless Visa', 0.9777058959007263)], [[[901.0, 1311.0], [1022.0, 1316.0], [1020.0, 1366.0], [899.0, 1361.0]], ('18.05', 0.9949699640274048)], [[[129.0, 1424.0], [599.0, 1413.0], [600.0, 1458.0], [130.0, 1469.0]], ('TOTAL INCLUDES GST OF', 0.9362643361091614)], [[[922.0, 1428.0], [1026.0, 1428.0], [1026.0, 1485.0], [922.0, 1485.0]], ('1.18', 0.9943835735321045)]]	{"store_name": "McDonaId'sScapeBranch", "store_addr": "2OrchardLink 02-43Scape Singapore237978", "telephone": "66349498", "date": "13/06/2016", "time": "14:41:24", "subtotal": "18.05", "tax": "1.18", "total": "18.05 18.05", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "SuperRedBurgerUpz", "item_value": "8.55", "item_quantity": "1"}, {"item_key": "", "item_name": "1MedIceLemonTea", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SuperRedBurger", "item_value": "6.10", "item_quantity": "1"}, {"item_key": "", "item_name": "McFlurryLemonCustard", "item_value": "2.90", "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	[[[[158.0, 9.0], [238.0, 9.0], [238.0, 30.0], [158.0, 30.0]], ('PURCHASE', 0.9962767362594604)], [[[158.0, 45.0], [274.0, 49.0], [273.0, 68.0], [158.0, 65.0]], ('MENS HOSIERY', 0.9712495803833008)], [[[468.0, 53.0], [512.0, 56.0], [510.0, 78.0], [466.0, 76.0]], ('0.80', 0.9964306950569153)], [[[158.0, 66.0], [275.0, 69.0], [275.0, 86.0], [158.0, 83.0]], ('786888389214', 0.9989748597145081)], [[[300.0, 69.0], [360.0, 71.0], [360.0, 90.0], [299.0, 88.0]], ('538/10', 0.9962894916534424)], [[[156.0, 85.0], [434.0, 91.0], [434.0, 111.0], [156.0, 104.0]], ("Orig 20.00 Today's Price 3.50", 0.9020265936851501)], [[[156.0, 103.0], [389.0, 112.0], [388.0, 131.0], [156.0, 123.0]], ('20% Coupon $2.00 Coupon', 0.9346426129341125)], [[[156.0, 124.0], [320.0, 129.0], [319.0, 146.0], [156.0, 141.0]], ('CRLXXXXXXXXX0317', 0.8573119640350342)], [[[156.0, 144.0], [273.0, 147.0], [272.0, 165.0], [156.0, 162.0]], ('MENS HOSIERY', 0.9771090149879456)], [[[469.0, 148.0], [514.0, 150.0], [512.0, 173.0], [467.0, 170.0]], ('0.80', 0.9961363077163696)], [[[156.0, 164.0], [274.0, 167.0], [273.0, 184.0], [156.0, 180.0]], ('786888389788', 0.9966304898262024)], [[[296.0, 168.0], [359.0, 168.0], [359.0, 186.0], [296.0, 186.0]], ('538/10', 0.9958372712135315)], [[[155.0, 182.0], [434.0, 188.0], [434.0, 207.0], [155.0, 202.0]], ("0rig 20.00 Today's Price 3.50", 0.8793476223945618)], [[[154.0, 202.0], [389.0, 207.0], [389.0, 227.0], [154.0, 222.0]], ('20% Coupon $2.00 Coupon', 0.9304003715515137)], [[[154.0, 223.0], [319.0, 225.0], [319.0, 243.0], [154.0, 241.0]], ('CRL XXXXXXXXX0318', 0.8501535058021545)], [[[154.0, 243.0], [271.0, 245.0], [271.0, 263.0], [154.0, 260.0]], ('MENS HOSIERY', 0.9665651321411133)], [[[471.0, 247.0], [515.0, 247.0], [515.0, 269.0], [471.0, 269.0]], ('1.80', 0.9932669997215271)], [[[154.0, 262.0], [273.0, 265.0], [273.0, 282.0], [154.0, 280.0]], ('786888389788', 0.9683167338371277)], [[[297.0, 265.0], [358.0, 265.0], [358.0, 283.0], [297.0, 283.0]], ('538/10', 0.9964470863342285)], [[[152.0, 283.0], [433.0, 287.0], [433.0, 304.0], [152.0, 300.0]], ("Orig 20.00 Today's Price 3.50", 0.874668300151825)], [[[151.0, 301.0], [388.0, 306.0], [388.0, 327.0], [151.0, 322.0]], ('20% Coupon$1.00 Coupon', 0.9608325958251953)], [[[149.0, 323.0], [319.0, 325.0], [319.0, 344.0], [149.0, 342.0]], ('CRLXXXXXXXXX0319', 0.8724899888038635)], [[[150.0, 344.0], [268.0, 344.0], [268.0, 361.0], [150.0, 361.0]], ('MENS HOSIERY', 0.9645984172821045)], [[[473.0, 348.0], [518.0, 348.0], [518.0, 370.0], [473.0, 370.0]], ('1.96', 0.9983293414115906)], [[[151.0, 366.0], [269.0, 366.0], [269.0, 383.0], [151.0, 383.0]], ('786888389269', 0.9980330467224121)], [[[297.0, 367.0], [357.0, 367.0], [357.0, 385.0], [297.0, 385.0]], ('538/10', 0.9953463673591614)], [[[147.0, 385.0], [437.0, 388.0], [437.0, 409.0], [147.0, 406.0]], ("Orig 20.00 Today's Price 2.45", 0.8885945081710815)], [[[147.0, 405.0], [248.0, 409.0], [247.0, 428.0], [147.0, 425.0]], ('20%Coupon', 0.9384732842445374)], [[[146.0, 428.0], [318.0, 428.0], [318.0, 448.0], [146.0, 448.0]], ('CRL XXXXXXXXX0320', 0.8694269061088562)], [[[287.0, 470.0], [377.0, 472.0], [377.0, 494.0], [286.0, 491.0]], ('Sub Total', 0.9568661451339722)], [[[476.0, 470.0], [521.0, 473.0], [520.0, 496.0], [474.0, 493.0]], ('5.36', 0.9942129850387573)], [[[182.0, 489.0], [381.0, 494.0], [381.0, 517.0], [181.0, 513.0]], ('9.00O% CA RGLR Tax', 0.8919820785522461)], [[[477.0, 494.0], [521.0, 494.0], [521.0, 516.0], [477.0, 516.0]], ('0.48', 0.9948501586914062)], [[[326.0, 514.0], [380.0, 514.0], [380.0, 539.0], [326.0, 539.0]], ('Total', 0.9959317445755005)], [[[477.0, 515.0], [523.0, 515.0], [523.0, 538.0], [477.0, 538.0]], ('5.84', 0.9945971369743347)], [[[141.0, 555.0], [237.0, 560.0], [236.0, 582.0], [140.0, 577.0]], ('Revolving', 0.9945732951164246)], [[[294.0, 559.0], [362.0, 559.0], [362.0, 583.0], [294.0, 583.0]], ("Macy's", 0.9731853604316711)], [[[142.0, 580.0], [275.0, 580.0], [275.0, 599.0], [142.0, 599.0]], ('AKOSITA MAAKE', 0.9617380499839783)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "5.36", "tax": "0.48", "total": "5.84", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MENSHOSIERY", "item_value": "0.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MENSHOSIERY", "item_value": "0.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MENSHOSIERY", "item_value": "1.80", "item_quantity": "1"}, {"item_key": "", "item_name": "MENSHOSIERY", "item_value": "1.96", "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	[[[[219.0, 13.0], [249.0, 13.0], [249.0, 27.0], [219.0, 27.0]], ('SHIP', 0.997198224067688)], [[[70.0, 42.0], [161.0, 40.0], [161.0, 51.0], [70.0, 53.0]], ('The UPS Stores4271', 0.8922510147094727)], [[[230.0, 39.0], [247.0, 39.0], [247.0, 47.0], [230.0, 47.0]], ('DATE', 0.9931721687316895)], [[[69.0, 50.0], [160.0, 46.0], [160.0, 59.0], [70.0, 64.0]], ('12527 Centra1 Ave NE', 0.8652321696281433)], [[[75.0, 60.0], [151.0, 56.0], [152.0, 69.0], [76.0, 72.0]], ('8a1ne.MN 55434', 0.8197201490402222)], [[[231.0, 52.0], [248.0, 52.0], [248.0, 62.0], [231.0, 62.0]], ('PHO', 0.9465947151184082)], [[[81.0, 70.0], [146.0, 67.0], [147.0, 78.0], [81.0, 81.0]], ('763757-0205', 0.9684966802597046)], [[[231.0, 67.0], [249.0, 67.0], [249.0, 78.0], [231.0, 78.0]], ('EM', 0.9685086011886597)], [[[73.0, 88.0], [157.0, 85.0], [157.0, 98.0], [74.0, 102.0]], ('12/28/1503:10PH', 0.9278762340545654)], [[[29.0, 148.0], [102.0, 148.0], [102.0, 159.0], [29.0, 159.0]], ('001001045.001', 0.9724111557006836)], [[[163.0, 146.0], [220.0, 146.0], [220.0, 159.0], [163.0, 159.0]], ('TO$59.22', 0.9627865552902222)], [[[46.0, 158.0], [129.0, 157.0], [129.0, 171.0], [46.0, 172.0]], ('Ground Res1dential', 0.9204419255256653)], [[[233.0, 154.0], [247.0, 154.0], [247.0, 161.0], [233.0, 161.0]], ('PHO', 0.9444293975830078)], [[[27.0, 170.0], [102.0, 169.0], [103.0, 183.0], [27.0, 184.0]], ('002000012 009', 0.9517697691917419)], [[[163.0, 168.0], [220.0, 168.0], [220.0, 182.0], [163.0, 182.0]], ('T1$35.00', 0.9473737478256226)], [[[46.0, 182.0], [139.0, 182.0], [139.0, 194.0], [46.0, 194.0]], ("mat'Is standard pack", 0.9104641079902649)], [[[29.0, 193.0], [102.0, 193.0], [102.0, 204.0], [29.0, 204.0]], ('003000015016', 0.9965429306030273)], [[[165.0, 194.0], [221.0, 194.0], [221.0, 205.0], [165.0, 205.0]], ('TOS18.00', 0.9116572141647339)], [[[46.0, 204.0], [137.0, 204.0], [137.0, 217.0], [46.0, 217.0]], ('standard pack serve', 0.969992458820343)], [[[132.0, 227.0], [222.0, 227.0], [222.0, 240.0], [132.0, 240.0]], ('SubTota$112.22', 0.9554968476295471)], [[[105.0, 237.0], [174.0, 237.0], [174.0, 248.0], [105.0, 248.0]], ('Sales.Tax.1', 0.8037580847740173)], [[[180.0, 239.0], [222.0, 239.0], [222.0, 249.0], [180.0, 249.0]], ('2.49', 0.9911090731620789)], [[[236.0, 237.0], [247.0, 237.0], [247.0, 246.0], [236.0, 246.0]], ('PI', 0.6612603664398193)]]	{"store_name": "TheUPSStore-#4271", "store_addr": "", "telephone": "(763)757-0205", "date": "12/28/15", "time": "03:10PM", "subtotal": "$112.22", "tax": "$2.49", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "standardpackserve", "item_value": "$59.22", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$18.00", "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	[[[[211.0, 44.0], [496.0, 50.0], [495.0, 100.0], [210.0, 94.0]], ('Walmart', 0.993421196937561)], [[[215.0, 97.0], [501.0, 103.0], [501.0, 127.0], [214.0, 121.0]], ('Save money.Live better.', 0.9507549405097961)], [[[284.0, 144.0], [507.0, 145.0], [507.0, 169.0], [284.0, 168.0]], ('823645-5028', 0.9145728945732117)], [[[274.0, 166.0], [507.0, 166.0], [507.0, 186.0], [274.0, 186.0]], ('MANAGER JAMIE JONES', 0.9279698729515076)], [[[213.0, 183.0], [577.0, 185.0], [577.0, 205.0], [213.0, 203.0]], ('25 NORTHBRIDGE COMMONS PARKWAY', 0.921464204788208)], [[[275.0, 205.0], [521.0, 205.0], [521.0, 223.0], [275.0, 223.0]], ('WEAVERVILLENC 28787', 0.9420029520988464)], [[[162.0, 218.0], [635.0, 219.0], [635.0, 243.0], [162.0, 242.0]], ('ST#43340P#000017101E80 1R03986', 0.9190166592597961)], [[[163.0, 236.0], [304.0, 242.0], [303.0, 262.0], [162.0, 256.0]], ('RX#6813712', 0.9740041494369507)], [[[363.0, 242.0], [491.0, 242.0], [491.0, 262.0], [363.0, 262.0]], ('D38QTY.1H', 0.8911888599395752)], [[[559.0, 237.0], [639.0, 237.0], [639.0, 262.0], [559.0, 262.0]], ('4.00N', 0.9818195104598999)], [[[163.0, 253.0], [302.0, 261.0], [301.0, 282.0], [162.0, 274.0]], ('RX#6826931', 0.9637547731399536)], [[[363.0, 260.0], [492.0, 257.0], [493.0, 279.0], [363.0, 282.0]], ('D38 QTY 1H', 0.8846855163574219)], [[[563.0, 257.0], [641.0, 257.0], [641.0, 277.0], [563.0, 277.0]], ('4.00N', 0.9877663850784302)], [[[163.0, 274.0], [305.0, 282.0], [304.0, 302.0], [162.0, 294.0]], ('CCO MINI BF', 0.9137263894081116)], [[[325.0, 279.0], [481.0, 277.0], [481.0, 297.0], [325.0, 299.0]], ('007910051609', 0.9958944320678711)], [[[565.0, 276.0], [622.0, 276.0], [622.0, 297.0], [565.0, 297.0]], ('20S', 0.6338408589363098)], [[[624.0, 279.0], [639.0, 279.0], [639.0, 293.0], [624.0, 293.0]], ('X', 0.7650866508483887)], [[[162.0, 293.0], [309.0, 299.0], [308.0, 323.0], [161.0, 317.0]], ('8GB SD CARD', 0.9222023487091064)], [[[325.0, 299.0], [481.0, 296.0], [481.0, 316.0], [325.0, 319.0]], ('061965909543', 0.9935925602912903)], [[[566.0, 294.0], [621.0, 294.0], [621.0, 316.0], [566.0, 316.0]], ('9.88', 0.997970700263977)], [[[628.0, 297.0], [642.0, 297.0], [642.0, 313.0], [628.0, 313.0]], ('X', 0.7699245810508728)], [[[392.0, 318.0], [490.0, 318.0], [490.0, 338.0], [392.0, 338.0]], ('SUBTOTAL', 0.9776917099952698)], [[[558.0, 316.0], [621.0, 316.0], [621.0, 336.0], [558.0, 336.0]], ('19.96', 0.9948603510856628)], [[[279.0, 340.0], [347.0, 340.0], [347.0, 361.0], [279.0, 361.0]], ('TAX1', 0.9629065990447998)], [[[381.0, 340.0], [474.0, 340.0], [474.0, 360.0], [381.0, 360.0]], ('7.000%', 0.9662227630615234)], [[[567.0, 335.0], [623.0, 331.0], [624.0, 354.0], [568.0, 357.0]], ('0.84', 0.9455232620239258)], [[[433.0, 358.0], [493.0, 358.0], [493.0, 380.0], [433.0, 380.0]], ('TOTAL', 0.9916552305221558)], [[[559.0, 354.0], [627.0, 351.0], [629.0, 376.0], [560.0, 380.0]], ('20.80', 0.9014415740966797)], [[[268.0, 381.0], [498.0, 381.0], [498.0, 401.0], [268.0, 401.0]], ('SHOPPING CARD TEND', 0.946136474609375)], [[[560.0, 376.0], [629.0, 372.0], [630.0, 398.0], [561.0, 401.0]], ('20.80', 0.9951918721199036)], [[[370.0, 402.0], [498.0, 402.0], [498.0, 422.0], [370.0, 422.0]], ('CHANGE DUE', 0.9452959299087524)], [[[570.0, 399.0], [631.0, 395.0], [633.0, 420.0], [571.0, 424.0]], ('0.00', 0.9968146681785583)], [[[160.0, 441.0], [344.0, 442.0], [344.0, 466.0], [159.0, 465.0]], ('SHOP.CARD REDE', 0.9600226283073425)], [[[526.0, 442.0], [597.0, 442.0], [597.0, 468.0], [526.0, 468.0]], ('20.80', 0.992529034614563)], [[[160.0, 460.0], [261.0, 464.0], [261.0, 488.0], [159.0, 485.0]], ('ACCOUNT', 0.9968124032020569)], [[[162.0, 486.0], [279.0, 486.0], [279.0, 506.0], [162.0, 506.0]], ('APPR.CO', 0.945692241191864)], [[[333.0, 484.0], [417.0, 489.0], [416.0, 511.0], [331.0, 506.0]], ('023068', 0.9979393482208252)], [[[161.0, 506.0], [325.0, 506.0], [325.0, 530.0], [161.0, 530.0]], ('REF #0659745', 0.9573318362236023)], [[[159.0, 529.0], [255.0, 529.0], [255.0, 553.0], [159.0, 553.0]], ('Beg Bal', 0.9330622553825378)], [[[325.0, 532.0], [430.0, 532.0], [430.0, 552.0], [325.0, 552.0]], ('Tran Amt', 0.9254040718078613)], [[[483.0, 529.0], [574.0, 529.0], [574.0, 555.0], [483.0, 555.0]], ('End Bal', 0.9032450318336487)], [[[159.0, 550.0], [234.0, 550.0], [234.0, 576.0], [159.0, 576.0]], ('25.00', 0.9980286359786987)], [[[326.0, 553.0], [395.0, 553.0], [395.0, 573.0], [326.0, 573.0]], ('20.80', 0.9943341016769409)], [[[484.0, 553.0], [542.0, 553.0], [542.0, 574.0], [484.0, 574.0]], ('4.20', 0.9963887929916382)], [[[161.0, 573.0], [274.0, 573.0], [274.0, 597.0], [161.0, 597.0]], ('10/07/14', 0.9984090328216553)], [[[326.0, 573.0], [436.0, 573.0], [436.0, 599.0], [326.0, 599.0]], ('16:24:03', 0.9182738065719604)], [[[82.0, 628.0], [609.0, 643.0], [607.0, 701.0], [80.0, 686.0]], ('TC##ITEMS SOLD4', 0.9530880451202393)], [[[216.0, 718.0], [541.0, 717.0], [541.0, 741.0], [216.0, 742.0]], ('TC#7213066413655236', 0.9586597084999084)], [[[190.0, 819.0], [669.0, 810.0], [669.0, 839.0], [191.0, 848.0]], ('Try the new Savings Catcher today!', 0.9349681735038757)], [[[241.0, 846.0], [659.0, 839.0], [659.0, 864.0], [242.0, 872.0]], ('to walmart.com/SavingsCatcher', 0.9431804418563843)], [[[275.0, 869.0], [396.0, 866.0], [397.0, 894.0], [276.0, 897.0]], ('10/07/14', 0.9983298182487488)], [[[463.0, 864.0], [580.0, 864.0], [580.0, 890.0], [463.0, 890.0]], ('16:24:06', 0.9199213981628418)], [[[70.0, 948.0], [250.0, 952.0], [249.0, 1014.0], [69.0, 1011.0]], ('Date:', 0.9925099611282349)], [[[333.0, 939.0], [565.0, 934.0], [566.0, 979.0], [334.0, 984.0]], ('SAVINGS', 0.9972823262214661)], [[[344.0, 987.0], [568.0, 979.0], [569.0, 1019.0], [345.0, 1027.0]], ('CATCHER', 0.9955154061317444)], [[[337.0, 1035.0], [605.0, 1029.0], [606.0, 1055.0], [338.0, 1061.0]], ('Download the Walmart', 0.959679901599884)], [[[334.0, 1065.0], [611.0, 1056.0], [611.0, 1081.0], [335.0, 1089.0]], ('app from http://wmt.co', 0.9451888799667358)], [[[416.0, 1098.0], [579.0, 1098.0], [579.0, 1138.0], [416.0, 1138.0]], ('Available pn the', 0.8248578310012817)], [[[417.0, 1135.0], [584.0, 1127.0], [586.0, 1167.0], [419.0, 1175.0]], ('App Store', 0.9636864066123962)], [[[419.0, 1196.0], [521.0, 1191.0], [523.0, 1222.0], [420.0, 1228.0]], ('GETITON', 0.9225291013717651)], [[[420.0, 1229.0], [615.0, 1222.0], [616.0, 1261.0], [421.0, 1267.0]], ('Google Play', 0.9450220465660095)], [[[336.0, 1297.0], [639.0, 1285.0], [640.0, 1313.0], [337.0, 1326.0]], ('Scan this code with the', 0.9390670657157898)], [[[341.0, 1330.0], [636.0, 1318.0], [637.0, 1346.0], [342.0, 1358.0]], ('app to compare prices', 0.8871976137161255)]]	{"store_name": "Walmart", "store_addr": "25NORTHBRIDGECOMMONSPARKWAY WEAVERVILLENC28787", "telephone": "(823)645-5028", "date": "10/07/14 10/07/14", "time": "16:24:06", "subtotal": "19.96", "tax": "0.84", "total": "20.80 20.80 20.80 20.80", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CCOMINIBF", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "8GBSDCARD", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "D38QTY1H", "item_value": "2.08", "item_quantity": "1"}, {"item_key": "", "item_name": "D38QTY1H", "item_value": "9.88", "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	[[[[124.0, 12.0], [394.0, 4.0], [395.0, 24.0], [125.0, 32.0]], ('FEU LOBSTER D620', 0.8069490194320679)], [[[184.0, 30.0], [338.0, 25.0], [339.0, 42.0], [184.0, 47.0]], ('1718 Galera 3vd', 0.7181496024131775)], [[[157.0, 48.0], [355.0, 40.0], [356.0, 60.0], [158.0, 68.0]], ('Fank1in.IN37067-6186', 0.8789069056510925)], [[[309.0, 60.0], [432.0, 52.0], [433.0, 72.0], [311.0, 80.0]], ('Check57820', 0.9306186437606812)], [[[98.0, 79.0], [229.0, 79.0], [229.0, 100.0], [98.0, 100.0]], ('rb133', 0.6523438692092896)], [[[383.0, 107.0], [435.0, 103.0], [437.0, 125.0], [385.0, 129.0]], ('Gst 2', 0.8826160430908203)], [[[95.0, 117.0], [230.0, 114.0], [231.0, 132.0], [95.0, 135.0]], ('16:210937/2013', 0.8890409469604492)], [[[100.0, 136.0], [288.0, 130.0], [288.0, 147.0], [100.0, 153.0]], ('419934729', 0.9747119545936584)], [[[95.0, 201.0], [190.0, 199.0], [190.0, 220.0], [95.0, 223.0]], ('Eard terber', 0.5610670447349548)], [[[356.0, 196.0], [435.0, 193.0], [436.0, 211.0], [357.0, 215.0]], ('Autn Cod', 0.8736776113510132)], [[[95.0, 219.0], [242.0, 216.0], [243.0, 236.0], [95.0, 240.0]], ('1988', 0.8776532411575317)], [[[381.0, 212.0], [437.0, 210.0], [438.0, 228.0], [381.0, 231.0]], ('078353', 0.9831547737121582)], [[[399.0, 229.0], [439.0, 229.0], [439.0, 249.0], [399.0, 249.0]], ('ESIA', 0.8528881072998047)], [[[95.0, 239.0], [201.0, 236.0], [201.0, 255.0], [95.0, 257.0]], ('birnes/devin', 0.8614649772644043)], [[[97.0, 270.0], [299.0, 268.0], [299.0, 289.0], [97.0, 291.0]], ('Check Amount', 0.9077057838439941)], [[[350.0, 265.0], [438.0, 262.0], [439.0, 281.0], [351.0, 283.0]], ('44.53', 0.9968986511230469)], [[[247.0, 335.0], [382.0, 319.0], [386.0, 359.0], [252.0, 375.0]], ('none', 0.8624826669692993)], [[[124.0, 517.0], [388.0, 514.0], [388.0, 532.0], [124.0, 535.0]], ('etoe agrees to pay total in', 0.8656514286994934)], [[[116.0, 534.0], [406.0, 532.0], [406.0, 553.0], [116.0, 555.0]], ('ordsnce wi th agreenent governing', 0.7894837856292725)], [[[112.0, 556.0], [245.0, 552.0], [246.0, 570.0], [112.0, 574.0]], ('e of such card.', 0.8309999704360962)], [[[205.0, 590.0], [335.0, 590.0], [335.0, 607.0], [205.0, 607.0]], ('Restaurant Coay', 0.9156888127326965)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "16:21", "subtotal": "", "tax": "", "total": "44.53", "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	[[[[124.0, 10.0], [194.0, 11.0], [194.0, 22.0], [124.0, 21.0]], ('Saxene ol Tckyo', 0.7661948800086975)], [[[117.0, 21.0], [204.0, 21.0], [204.0, 31.0], [117.0, 31.0]], ('Japanese Restourant', 0.9425657391548157)], [[[94.0, 31.0], [226.0, 31.0], [226.0, 41.0], [94.0, 41.0]], ('5252 82dSt,indianapolis.IN', 0.8526999354362488)], [[[124.0, 42.0], [195.0, 42.0], [195.0, 52.0], [124.0, 52.0]], ('31.7436-7774', 0.9386581778526306)], [[[108.0, 52.0], [211.0, 53.0], [211.0, 64.0], [107.0, 63.0]], ('www.sacanaottolcyo.com', 0.8986137509346008)], [[[69.0, 68.0], [148.0, 69.0], [148.0, 80.0], [69.0, 79.0]], ('Server:NEMUULEN', 0.9288260340690613)], [[[68.0, 80.0], [174.0, 82.0], [174.0, 96.0], [68.0, 93.0]], ('Table:Main Hall C3', 0.9155765175819397)], [[[70.0, 94.0], [122.0, 94.0], [122.0, 105.0], [70.0, 105.0]], ('6:23:41PM', 0.885094940662384)], [[[193.0, 96.0], [248.0, 96.0], [248.0, 107.0], [193.0, 107.0]], ('12/31/2016', 0.9961720705032349)], [[[83.0, 117.0], [105.0, 120.0], [104.0, 132.0], [81.0, 129.0]], ('Item', 0.9262837767601013)], [[[221.0, 121.0], [244.0, 121.0], [244.0, 133.0], [221.0, 133.0]], ('Ptice', 0.949795126914978)], [[[84.0, 138.0], [147.0, 138.0], [147.0, 148.0], [84.0, 148.0]], ('(1xALBACOR', 0.860723614692688)], [[[223.0, 138.0], [244.0, 138.0], [244.0, 149.0], [223.0, 149.0]], ('2.15', 0.9871671795845032)], [[[84.0, 149.0], [141.0, 149.0], [141.0, 160.0], [84.0, 160.0]], ('(1xMAGURO', 0.9070110321044922)], [[[223.0, 146.0], [245.0, 149.0], [244.0, 161.0], [221.0, 158.0]], ('2.20', 0.9143146276473999)], [[[68.0, 162.0], [82.0, 162.0], [82.0, 170.0], [68.0, 170.0]], ('2', 0.9917444586753845)], [[[80.0, 160.0], [176.0, 160.0], [176.0, 173.0], [80.0, 173.0]], ('1xSMOKEDSALMON', 0.9184837937355042)], [[[223.0, 158.0], [246.0, 161.0], [245.0, 173.0], [221.0, 170.0]], ('4.00', 0.9897429943084717)], [[[83.0, 172.0], [183.0, 172.0], [183.0, 185.0], [83.0, 185.0]], ('1x)SUPER WHITE TUNA', 0.9128094911575317)], [[[222.0, 180.0], [246.0, 183.0], [245.0, 195.0], [220.0, 192.0]], ('2.00', 0.9884629845619202)], [[[223.0, 172.0], [246.0, 172.0], [246.0, 183.0], [223.0, 183.0]], ('2.10', 0.987966001033783)], [[[84.0, 184.0], [134.0, 184.0], [134.0, 195.0], [84.0, 195.0]], ('1xTOBIKO', 0.9339041709899902)], [[[84.0, 196.0], [130.0, 196.0], [130.0, 207.0], [84.0, 207.0]], ('THAI ROLL', 0.9425110220909119)], [[[218.0, 195.0], [247.0, 195.0], [247.0, 206.0], [218.0, 206.0]], ('10.95', 0.992967426776886)], [[[141.0, 219.0], [179.0, 219.0], [179.0, 230.0], [141.0, 230.0]], ('Subtotal:', 0.9565315246582031)], [[[219.0, 218.0], [248.0, 218.0], [248.0, 228.0], [219.0, 228.0]], ('23.40', 0.9913679957389832)], [[[138.0, 229.0], [181.0, 229.0], [181.0, 243.0], [138.0, 243.0]], ('iscount:', 0.9316179156303406)], [[[223.0, 229.0], [248.0, 229.0], [248.0, 240.0], [223.0, 240.0]], ('4.38', 0.9858511686325073)], [[[155.0, 242.0], [181.0, 242.0], [181.0, 253.0], [155.0, 253.0]], ('Tofal:', 0.8854588866233826)], [[[220.0, 241.0], [248.0, 241.0], [248.0, 252.0], [220.0, 252.0]], ('19.02', 0.9947324991226196)], [[[159.0, 253.0], [180.0, 253.0], [180.0, 265.0], [159.0, 265.0]], ('Tax:', 0.8542631268501282)], [[[220.0, 262.0], [249.0, 264.0], [248.0, 277.0], [219.0, 274.0]], ('20.74', 0.9849039316177368)], [[[224.0, 253.0], [249.0, 253.0], [249.0, 264.0], [224.0, 264.0]], ('1.72', 0.9677678942680359)], [[[154.0, 263.0], [180.0, 266.0], [179.0, 278.0], [153.0, 275.0]], ('Total:', 0.8622205853462219)], [[[150.0, 310.0], [181.0, 310.0], [181.0, 324.0], [150.0, 324.0]], ('Total:', 0.9887945652008057)], [[[217.0, 309.0], [252.0, 309.0], [252.0, 323.0], [217.0, 323.0]], ('20.74', 0.9914329648017883)], [[[104.0, 339.0], [223.0, 339.0], [223.0, 352.0], [104.0, 352.0]], ('Thank yo s lor allowing us to', 0.9040201902389526)], [[[129.0, 353.0], [197.0, 353.0], [197.0, 364.0], [129.0, 364.0]], ('sere you tocay,', 0.8929570913314819)], [[[133.0, 364.0], [194.0, 364.0], [194.0, 378.0], [133.0, 378.0]], ('See you soon', 0.9408696293830872)], [[[133.0, 377.0], [222.0, 378.0], [222.0, 392.0], [132.0, 391.0]], ('SYou', 0.9255510568618774)], [[[78.0, 400.0], [117.0, 400.0], [117.0, 411.0], [78.0, 411.0]], ('Tck#01', 0.757850170135498)], [[[76.0, 411.0], [163.0, 410.0], [163.0, 424.0], [76.0, 425.0]], ('Trans#0000606', 0.9420057535171509)]]	{"store_name": "", "store_addr": "", "telephone": "(31.7)436-7774", "date": "12/31/2016", "time": "6:23:41PM", "subtotal": "23.40", "tax": "1.72", "total": "20.74 20.74", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "TMAIROLL", "item_value": "2.15", "item_quantity": "1"}, {"item_key": "", "item_name": "(1x)TOBIKO", "item_value": "2.20", "item_quantity": "1"}, {"item_key": "", "item_name": "(1x)SUPERWHITETUNA", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "(1x)SMOKEDSALMON", "item_value": "2.10", "item_quantity": "1"}, {"item_key": "", "item_name": "(1x)MAGURO", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "(1x)ALBACORE", "item_value": "10.95", "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	[[[[151.0, 0.0], [227.0, 5.0], [225.0, 19.0], [150.0, 10.0]], ('1SOSM27', 0.710485577583313)], [[[166.0, 11.0], [220.0, 18.0], [218.0, 32.0], [165.0, 25.0]], ('Dublin 2', 0.9274625778198242)], [[[132.0, 21.0], [246.0, 34.0], [244.0, 49.0], [130.0, 36.0]], ('Ph+353 163 94 889', 0.9143610596656799)], [[[153.0, 39.0], [233.0, 47.0], [231.0, 61.0], [152.0, 53.0]], ('info@amuse.ie', 0.9256769418716431)], [[[55.0, 62.0], [114.0, 65.0], [113.0, 79.0], [54.0, 76.0]], ('From', 0.9812344908714294)], [[[113.0, 66.0], [217.0, 75.0], [216.0, 88.0], [112.0, 80.0]], ('FRI 19DEC 20:54', 0.8907169699668884)], [[[53.0, 78.0], [76.0, 78.0], [76.0, 93.0], [53.0, 93.0]], ('To', 0.9848129749298096)], [[[114.0, 80.0], [218.0, 88.0], [217.0, 103.0], [112.0, 95.0]], ('FRI 19DEC 22:00', 0.8903163075447083)], [[[96.0, 95.0], [214.0, 103.0], [213.0, 117.0], [95.0, 108.0]], ('TABLE14ROOM', 0.9424924850463867)], [[[100.0, 110.0], [217.0, 118.0], [216.0, 132.0], [100.0, 124.0]], ('1PROSECCO TREVISO', 0.9566534757614136)], [[[98.0, 126.0], [223.0, 133.0], [222.0, 147.0], [98.0, 140.0]], ("2 GL BARBERA D'ASTI", 0.8891533017158508)], [[[289.0, 120.0], [319.0, 123.0], [317.0, 138.0], [287.0, 135.0]], ('34.00', 0.9923766851425171)], [[[100.0, 141.0], [248.0, 147.0], [248.0, 163.0], [100.0, 157.0]], ('12 COURSES DINNER MENU', 0.9423972964286804)], [[[291.0, 136.0], [319.0, 136.0], [319.0, 151.0], [291.0, 151.0]], ('18.00', 0.9955520629882812)], [[[100.0, 158.0], [249.0, 162.0], [249.0, 178.0], [100.0, 174.0]], ('13 COURSES DINNER MENU', 0.9363059997558594)], [[[291.0, 149.0], [322.0, 152.0], [320.0, 166.0], [289.0, 164.0]], ('42.00', 0.9942439198493958)], [[[291.0, 163.0], [323.0, 165.0], [321.0, 181.0], [289.0, 179.0]], ('50.00', 0.992968738079071)], [[[209.0, 192.0], [260.0, 192.0], [260.0, 221.0], [209.0, 221.0]], ('TOTALE', 0.9688110947608948)], [[[287.0, 196.0], [323.0, 196.0], [323.0, 220.0], [287.0, 220.0]], ('144.00', 0.9251578450202942)], [[[69.0, 235.0], [131.0, 237.0], [130.0, 255.0], [68.0, 253.0]], ('Beverage', 0.996507465839386)], [[[176.0, 235.0], [242.0, 235.0], [242.0, 252.0], [176.0, 252.0]], ('42.28VAT', 0.9878398180007935)], [[[286.0, 234.0], [313.0, 234.0], [313.0, 250.0], [286.0, 250.0]], ('9.72', 0.9769084453582764)], [[[68.0, 255.0], [104.0, 255.0], [104.0, 273.0], [68.0, 273.0]], ('Food', 0.9968135952949524)], [[[174.0, 251.0], [243.0, 250.0], [243.0, 268.0], [174.0, 269.0]], ('84.40VAT', 0.984923243522644)], [[[287.0, 250.0], [314.0, 250.0], [314.0, 266.0], [287.0, 266.0]], ('7.60', 0.9920929670333862)], [[[190.0, 297.0], [231.0, 294.0], [232.0, 313.0], [192.0, 316.0]], ('SYS 1', 0.8742462992668152)], [[[250.0, 294.0], [288.0, 294.0], [288.0, 311.0], [250.0, 311.0]], ('TABLE', 0.9961687326431274)], [[[304.0, 294.0], [319.0, 294.0], [319.0, 306.0], [304.0, 306.0]], ('14', 0.9862353801727295)], [[[45.0, 304.0], [88.0, 304.0], [88.0, 322.0], [45.0, 322.0]], ('Z KEY', 0.8927434086799622)], [[[163.0, 335.0], [203.0, 335.0], [203.0, 346.0], [163.0, 346.0]], ('TEW', 0.9142220616340637)], [[[212.0, 331.0], [282.0, 327.0], [283.0, 345.0], [213.0, 347.0]], ('US ON', 0.9252246618270874)]]	{"store_name": "", "store_addr": "22DawsonSt. Dublin2", "telephone": "+35316394889", "date": "FRI19DEC FRI19DEC", "time": "22:00", "subtotal": "144.00", "tax": "9.72 7.60", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PROSECCOTREVISO", "item_value": "34.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLBARBERAD'ASTI", "item_value": "18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "2COURSESDINNERMENU", "item_value": "42.00", "item_quantity": "1"}, {"item_key": "", "item_name": "3COURSESDINNERMENU", "item_value": "50.00", "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	[[[[71.0, 18.0], [126.0, 18.0], [126.0, 32.0], [71.0, 32.0]], ('Saicae Sush', 0.7967402935028076)], [[[52.0, 31.0], [143.0, 31.0], [143.0, 44.0], [52.0, 44.0]], ('930 Yishn Avene2', 0.8255882263183594)], [[[19.0, 44.0], [179.0, 44.0], [179.0, 57.0], [19.0, 57.0]], ('#02-58/61Northpon Shopping Centre', 0.8942632079124451)], [[[60.0, 55.0], [139.0, 56.0], [139.0, 70.0], [60.0, 69.0]], ('Singapore 769098', 0.9146474003791809)], [[[40.0, 69.0], [161.0, 69.0], [161.0, 82.0], [40.0, 82.0]], ('Tel64825038Fax64825108', 0.9507213234901428)], [[[24.0, 80.0], [175.0, 82.0], [175.0, 97.0], [24.0, 94.0]], ('For Del1veryPls Cail 6388 8383', 0.8218382596969604)], [[[8.0, 106.0], [58.0, 106.0], [58.0, 121.0], [8.0, 121.0]], ('Table:06', 0.8899596929550171)], [[[7.0, 143.0], [71.0, 146.0], [71.0, 160.0], [6.0, 158.0]], ('Beef Kaninabe', 0.9030460715293884)], [[[107.0, 145.0], [149.0, 145.0], [149.0, 159.0], [107.0, 159.0]], ('1x$15.99', 0.9257702827453613)], [[[155.0, 146.0], [188.0, 146.0], [188.0, 160.0], [155.0, 160.0]], ('$15.99', 0.9746459126472473)], [[[7.0, 156.0], [58.0, 159.0], [57.0, 173.0], [6.0, 171.0]], ('YakGyoza', 0.8098745346069336)], [[[106.0, 158.0], [146.0, 158.0], [146.0, 172.0], [106.0, 172.0]], ('1$5.99', 0.9436336159706116)], [[[158.0, 158.0], [189.0, 158.0], [189.0, 173.0], [158.0, 173.0]], ('665', 0.6758210062980652)], [[[8.0, 171.0], [143.0, 171.0], [143.0, 185.0], [8.0, 185.0]], ('Soft Shel Crab Tep 1x$8.99', 0.7925639748573303)], [[[161.0, 172.0], [188.0, 172.0], [188.0, 184.0], [161.0, 184.0]], ('$8.99', 0.8944419622421265)], [[[7.0, 182.0], [67.0, 184.0], [67.0, 198.0], [6.0, 196.0]], ('Potato Saiad', 0.9536594748497009)], [[[108.0, 185.0], [142.0, 185.0], [142.0, 196.0], [108.0, 196.0]], ('1$5.99', 0.9886884093284607)], [[[160.0, 185.0], [189.0, 185.0], [189.0, 198.0], [160.0, 198.0]], ('$5.99', 0.9914962649345398)], [[[8.0, 195.0], [63.0, 197.0], [62.0, 211.0], [7.0, 209.0]], ('Color Plate', 0.9303173422813416)], [[[107.0, 196.0], [144.0, 196.0], [144.0, 210.0], [107.0, 210.0]], ('7$2.29', 0.9557128548622131)], [[[7.0, 207.0], [55.0, 209.0], [54.0, 223.0], [6.0, 221.0]], ('Re Piate', 0.9199217557907104)], [[[157.0, 198.0], [187.0, 198.0], [187.0, 209.0], [157.0, 209.0]], ('$16.03', 0.9922412037849426)], [[[106.0, 209.0], [143.0, 209.0], [143.0, 223.0], [106.0, 223.0]], ('2$6.29', 0.8862178921699524)], [[[155.0, 209.0], [188.0, 209.0], [188.0, 223.0], [155.0, 223.0]], ('$12.58', 0.957294225692749)], [[[7.0, 220.0], [58.0, 222.0], [57.0, 236.0], [6.0, 234.0]], ('Pink Plate', 0.8896414041519165)], [[[105.0, 220.0], [144.0, 222.0], [143.0, 237.0], [104.0, 235.0]], ('2$4.29', 0.9319474697113037)], [[[160.0, 223.0], [189.0, 223.0], [189.0, 236.0], [160.0, 236.0]], ('$8.58', 0.9565007090568542)], [[[8.0, 235.0], [58.0, 235.0], [58.0, 249.0], [8.0, 249.0]], ('Gensal iea', 0.7343198657035828)], [[[107.0, 233.0], [145.0, 235.0], [144.0, 250.0], [105.0, 248.0]], ('3$1.39', 0.9649185538291931)], [[[160.0, 236.0], [189.0, 236.0], [189.0, 249.0], [160.0, 249.0]], ('$4.17', 0.991308331489563)], [[[7.0, 247.0], [58.0, 247.0], [58.0, 261.0], [7.0, 261.0]], ('wet tissue', 0.876491904258728)], [[[106.0, 247.0], [144.0, 247.0], [144.0, 261.0], [106.0, 261.0]], ('3x$0.30', 0.9116392731666565)], [[[160.0, 248.0], [187.0, 248.0], [187.0, 260.0], [160.0, 260.0]], ('$0.90', 0.991169810295105)], [[[87.0, 270.0], [134.0, 272.0], [133.0, 287.0], [87.0, 284.0]], ('SUB-TOTAL', 0.9136720299720764)], [[[157.0, 274.0], [188.0, 274.0], [188.0, 285.0], [157.0, 285.0]], ('$79.22', 0.9913986325263977)], [[[71.0, 285.0], [131.0, 285.0], [131.0, 296.0], [71.0, 296.0]], ('10S.CHAR', 0.9216048717498779)], [[[160.0, 286.0], [187.0, 286.0], [187.0, 298.0], [160.0, 298.0]], ('$7.92', 0.9836686253547668)], [[[104.0, 298.0], [133.0, 298.0], [133.0, 311.0], [104.0, 311.0]], ('7XGST', 0.7968047261238098)], [[[159.0, 296.0], [189.0, 299.0], [187.0, 314.0], [158.0, 311.0]], ('$5.10', 0.9404259920120239)], [[[107.0, 322.0], [132.0, 325.0], [131.0, 337.0], [105.0, 334.0]], ('TOTAL', 0.8787543177604675)], [[[155.0, 321.0], [189.0, 324.0], [188.0, 339.0], [153.0, 336.0]], ('$93.24', 0.9808034896850586)], [[[7.0, 335.0], [31.0, 335.0], [31.0, 351.0], [7.0, 351.0]], ('VISA', 0.9971253275871277)], [[[155.0, 335.0], [188.0, 335.0], [188.0, 350.0], [155.0, 350.0]], ('$93.24', 0.9769718050956726)], [[[8.0, 363.0], [63.0, 363.0], [63.0, 374.0], [8.0, 374.0]], ('910', 0.9147776961326599)], [[[106.0, 361.0], [187.0, 362.0], [187.0, 376.0], [106.0, 375.0]], ('CasnierEr S', 0.8908963799476624)], [[[7.0, 375.0], [100.0, 375.0], [100.0, 388.0], [7.0, 388.0]], ('5/1/20136:29:07PM', 0.9211282134056091)], [[[46.0, 386.0], [147.0, 388.0], [146.0, 401.0], [46.0, 399.0]], ('3-9180-693', 0.7063371539115906)], [[[22.0, 397.0], [54.0, 400.0], [53.0, 414.0], [21.0, 412.0]], ('NAE', 0.8035499453544617)], [[[22.0, 414.0], [58.0, 414.0], [58.0, 425.0], [22.0, 425.0]], ('HNO', 0.7077257633209229)], [[[20.0, 424.0], [115.0, 425.0], [115.0, 439.0], [20.0, 438.0]], ('DATE F COLLECTON', 0.8865756988525391)], [[[22.0, 438.0], [53.0, 438.0], [53.0, 449.0], [22.0, 449.0]], ('E', 0.8232463598251343)]]	{"store_name": "SakaeSushi", "store_addr": "930YishunAvenue2 Sinzapore769098", "telephone": "6482503B", "date": "5/1/2013", "time": "6:29:07PM", "subtotal": "&79.22", "tax": "$6.10", "total": "$93.24 $93.24", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "BeefKainabe", "item_value": "$15.99", "item_quantity": "1"}, {"item_key": "", "item_name": "YakiGyoza", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "SoftShellCrabTemp", "item_value": "$8.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PotatoqSalad", "item_value": "$5.99", "item_quantity": "1"}, {"item_key": "", "item_name": "ColorPlate", "item_value": "$16.03", "item_quantity": "1"}, {"item_key": "", "item_name": "RedPlate", "item_value": "$12.58", "item_quantity": "1"}, {"item_key": "", "item_name": "GeneralTea", "item_value": "$8.58", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$4.17", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[751.0, 17.0], [1063.0, 22.0], [1062.0, 66.0], [751.0, 61.0]], ('1 Metro Park Rd.', 0.9310800433158875)], [[[753.0, 61.0], [1067.0, 63.0], [1066.0, 107.0], [753.0, 105.0]], ('Albany NY 12205', 0.8961169719696045)], [[[788.0, 107.0], [1031.0, 112.0], [1030.0, 157.0], [787.0, 152.0]], ('518-446-9190', 0.9874904751777649)], [[[492.0, 187.0], [645.0, 192.0], [643.0, 238.0], [490.0, 233.0]], ('Server:', 0.9924214482307434)], [[[1028.0, 207.0], [1323.0, 207.0], [1323.0, 244.0], [1028.0, 244.0]], ('D08:01/08/2011', 0.9047254323959351)], [[[489.0, 233.0], [662.0, 238.0], [660.0, 284.0], [488.0, 279.0]], ('09:08PM', 0.949404776096344)], [[[1124.0, 253.0], [1323.0, 253.0], [1323.0, 292.0], [1124.0, 292.0]], ('01/08/2011', 0.9571897387504578)], [[[492.0, 279.0], [720.0, 289.0], [718.0, 334.0], [490.0, 325.0]], ('Tabl8 102/2', 0.8890218138694763)], [[[1180.0, 299.0], [1321.0, 299.0], [1321.0, 338.0], [1180.0, 338.0]], ('3/30081', 0.9962621927261353)], [[[866.0, 377.0], [959.0, 383.0], [956.0, 433.0], [863.0, 427.0]], ('SALE', 0.9984308481216431)], [[[482.0, 457.0], [575.0, 463.0], [572.0, 514.0], [479.0, 507.0]], ('VISA', 0.981777012348175)], [[[1184.0, 475.0], [1334.0, 483.0], [1332.0, 531.0], [1181.0, 523.0]], ('5242953', 0.9902798533439636)], [[[481.0, 508.0], [822.0, 517.0], [821.0, 561.0], [480.0, 552.0]], ('Card #xxxxxxxxxx', 0.8850760459899902)], [[[479.0, 556.0], [926.0, 570.0], [925.0, 614.0], [477.0, 600.0]], ('Magnetic card present', 0.8850774168968201)], [[[479.0, 602.0], [918.0, 616.0], [916.0, 662.0], [477.0, 648.0]], ('Card Entry Nathod S', 0.8691803812980652)], [[[476.0, 700.0], [811.0, 707.0], [810.0, 753.0], [475.0, 746.0]], ('Approva1:008527', 0.8808627724647522)], [[[887.0, 805.0], [1035.0, 805.0], [1035.0, 853.0], [887.0, 853.0]], ('Axount:', 0.8135829567909241)], [[[1189.0, 807.0], [1340.0, 812.0], [1339.0, 860.0], [1188.0, 855.0]], ('14.75', 0.8296515345573425)], [[[1200.0, 870.0], [1398.0, 875.0], [1396.0, 950.0], [1198.0, 944.0]], ('1525', 0.9623217582702637)], [[[810.0, 894.0], [1038.0, 904.0], [1035.0, 956.0], [808.0, 946.0]], ('Gratuity:', 0.8938188552856445)], [[[1107.0, 947.0], [1385.0, 947.0], [1385.0, 1069.0], [1107.0, 1069.0]], ('3000', 0.8410071730613708)], [[[868.0, 982.0], [1069.0, 1001.0], [1063.0, 1064.0], [862.0, 1046.0]], ('Totg', 0.744600236415863)], [[[655.0, 1254.0], [1141.0, 1257.0], [1141.0, 1303.0], [655.0, 1300.0]], ("Romano's Nacaront Gri1", 0.7944799661636353)], [[[610.0, 1309.0], [1178.0, 1311.0], [1177.0, 1357.0], [610.0, 1355.0]], ("Ne'd love to hear fron you", 0.8359283208847046)], [[[676.0, 1366.0], [1126.0, 1366.0], [1126.0, 1409.0], [676.0, 1409.0]], ('www.acaronigr111.com', 0.8274108171463013)], [[[759.0, 1473.0], [1039.0, 1473.0], [1039.0, 1519.0], [759.0, 1519.0]], ("Romano's Copy", 0.9126626253128052)]]	{"store_name": "", "store_addr": "1MetroParkRd. Albany,NY12205", "telephone": "518-446-9190", "date": "01/08/2011 01/08/2011", "time": "09:08PM", "subtotal": "$14.75", "tax": "", "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	[[[[118.0, 6.0], [183.0, 6.0], [183.0, 17.0], [118.0, 17.0]], ('5032360716', 0.9910834431648254)], [[[61.0, 37.0], [117.0, 37.0], [117.0, 47.0], [61.0, 47.0]], ('8h1E3', 0.6256043314933777)], [[[62.0, 29.0], [105.0, 29.0], [105.0, 39.0], [62.0, 39.0]], ('ABLE', 0.6750843524932861)], [[[59.0, 52.0], [202.0, 52.0], [202.0, 65.0], [59.0, 65.0]], ('BATE/7/26/20186:0601PM', 0.882335901260376)], [[[59.0, 60.0], [125.0, 61.0], [124.0, 72.0], [59.0, 71.0]], ('SERVERSHANE', 0.9041089415550232)], [[[59.0, 77.0], [123.0, 79.0], [122.0, 90.0], [58.0, 88.0]], ('PAIY SIZE2', 0.8020932078361511)], [[[60.0, 70.0], [114.0, 70.0], [114.0, 81.0], [60.0, 81.0]], ('STATION01', 0.8844451904296875)], [[[60.0, 95.0], [123.0, 95.0], [123.0, 105.0], [60.0, 105.0]], ('Itcs Count4', 0.7551965713500977)], [[[60.0, 112.0], [127.0, 112.0], [127.0, 122.0], [60.0, 122.0]], ('1 ONION PAKDRA', 0.810357928276062)], [[[218.0, 110.0], [243.0, 110.0], [243.0, 121.0], [218.0, 121.0]], ('$7.50', 0.8951493501663208)], [[[60.0, 122.0], [130.0, 122.0], [130.0, 131.0], [60.0, 131.0]], ('1 AVOCADO SALAD', 0.8817889094352722)], [[[60.0, 127.0], [107.0, 130.0], [106.0, 141.0], [59.0, 138.0]], ('1KICHO1', 0.5917598009109497)], [[[218.0, 118.0], [243.0, 118.0], [243.0, 129.0], [218.0, 129.0]], ('$8.00', 0.9006330370903015)], [[[215.0, 128.0], [243.0, 128.0], [243.0, 138.0], [215.0, 138.0]], ('$14.00', 0.9836958050727844)], [[[59.0, 146.0], [130.0, 146.0], [130.0, 157.0], [59.0, 157.0]], ('GLU FREE NAAN', 0.8299635648727417)], [[[216.0, 145.0], [243.0, 142.0], [245.0, 154.0], [217.0, 157.0]], ('$5.50', 0.9763482809066772)], [[[59.0, 155.0], [130.0, 155.0], [130.0, 166.0], [59.0, 166.0]], ('1BREAKSIDE IPA', 0.8871126174926758)], [[[219.0, 153.0], [245.0, 153.0], [245.0, 164.0], [219.0, 164.0]], ('$9.00', 0.9878681302070618)], [[[216.0, 169.0], [247.0, 169.0], [247.0, 183.0], [216.0, 183.0]], ('$00', 0.8799389004707336)], [[[57.0, 184.0], [112.0, 184.0], [112.0, 201.0], [57.0, 201.0]], ('GRAND TOTAL', 0.9389284253120422)], [[[216.0, 180.0], [248.0, 180.0], [248.0, 200.0], [216.0, 200.0]], ('$44.00', 0.9907135963439941)], [[[54.0, 217.0], [192.0, 213.0], [192.0, 226.0], [55.0, 229.0]], ('Opened7/26/20186:06:01PM', 0.869257390499115)], [[[55.0, 235.0], [197.0, 234.0], [197.0, 247.0], [55.0, 248.0]], ('Ihank you for you patronage.', 0.908520519733429)], [[[53.0, 245.0], [228.0, 242.0], [228.0, 255.0], [54.0, 258.0]], ('the following are prelax suggested', 0.918414831161499)], [[[53.0, 255.0], [240.0, 251.0], [240.0, 265.0], [54.0, 269.0]], ('gratuily asounts for your convenience', 0.9301193952560425)], [[[53.0, 273.0], [190.0, 270.0], [190.0, 284.0], [54.0, 287.0]], ('15X=$6.60.1ota1=$50.60', 0.8487457633018494)], [[[52.0, 283.0], [190.0, 281.0], [190.0, 295.0], [53.0, 297.0]], ('18X=$7.92.Tota1=$51.92', 0.85491943359375)], [[[52.0, 296.0], [72.0, 296.0], [72.0, 306.0], [52.0, 306.0]], ('20%', 0.9954953193664551)], [[[66.0, 294.0], [191.0, 291.0], [191.0, 304.0], [66.0, 308.0]], ('=$8.80.Tota1=$52.80', 0.8579367399215698)], [[[125.0, 315.0], [195.0, 315.0], [195.0, 344.0], [125.0, 344.0]], ('OH-7', 0.9929202198982239)]]	{"store_name": "", "store_addr": "PORTLAND,97214", "telephone": "(503)2360716", "date": "7/26/2018 7/26/2018", "time": "6:06:01PM 6:06:01PM", "subtotal": "$44.00", "tax": "", "total": "$44.00 Total=$50. 60 Total=$51,92 Total=$52.80", "ignore": " ", "tips": "15%=$6.60. 18%=$7.92. 20%=$8.80.", "line_items": [{"item_key": "", "item_name": "ONIONPAKORA", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "AVOCADOSALAD", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "KHICHOI", "item_value": "$14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GLUFREEMAAN", "item_value": "$5.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[1070.0, 8.0], [2122.0, 17.0], [2122.0, 93.0], [1069.0, 84.0]], (' DUPLICATE RECEIPT ', 0.9203080534934998)], [[[680.0, 234.0], [993.0, 244.0], [991.0, 316.0], [678.0, 306.0]], ('9529009', 0.9988506436347961)], [[[1153.0, 251.0], [1534.0, 265.0], [1531.0, 341.0], [1150.0, 327.0]], ('HM3-00001', 0.9936428070068359)], [[[2122.0, 269.0], [2337.0, 269.0], [2337.0, 344.0], [2122.0, 344.0]], ('83.99', 0.9992439150810242)], [[[762.0, 314.0], [2217.0, 349.0], [2215.0, 437.0], [760.0, 403.0]], ('XBOX ONE ELITE WIRELESS CONTROLLER', 0.9659008979797363)], [[[814.0, 398.0], [1548.0, 434.0], [1544.0, 509.0], [811.0, 473.0]], ('149.99 Was Price', 0.9448357820510864)], [[[856.0, 491.0], [1878.0, 521.0], [1876.0, 593.0], [854.0, 562.0]], ('30.OO-GAMING CPN BNDL 1', 0.9112995266914368)], [[[861.0, 570.0], [1887.0, 606.0], [1884.0, 681.0], [858.0, 646.0]], ('36.00-GAMING CPN BNDL 2', 0.9206662178039551)], [[[771.0, 654.0], [1169.0, 669.0], [1167.0, 740.0], [768.0, 726.0]], ('Sales Tax', 0.9673669338226318)], [[[1748.0, 685.0], [1929.0, 685.0], [1929.0, 760.0], [1748.0, 760.0]], ('5.04', 0.9955869913101196)], [[[681.0, 730.0], [1186.0, 748.0], [1184.0, 824.0], [678.0, 806.0]], ('5979127', 0.9978416562080383)], [[[1148.0, 747.0], [1633.0, 761.0], [1631.0, 832.0], [1146.0, 818.0]], ('$50TRADE-I', 0.9373418688774109)], [[[2165.0, 764.0], [2345.0, 764.0], [2345.0, 840.0], [2165.0, 840.0]], ('0.00', 0.9946876168251038)], [[[770.0, 823.0], [2050.0, 853.0], [2048.0, 925.0], [768.0, 894.0]], ('$30 TRADE-IN TOWARD ELITE CTLR', 0.9327412247657776)], [[[903.0, 911.0], [1886.0, 933.0], [1885.0, 1004.0], [901.0, 982.0]], ('O.OO GAMING CPN BNDL1', 0.908400297164917)], [[[770.0, 991.0], [2174.0, 1017.0], [2173.0, 1088.0], [768.0, 1062.0]], ('Seria1# ***************4445', 0.7568259835243225)], [[[775.0, 1074.0], [1182.0, 1089.0], [1180.0, 1160.0], [772.0, 1146.0]], ('Sales Tax', 0.9647194743156433)], [[[1752.0, 1082.0], [1934.0, 1093.0], [1929.0, 1173.0], [1747.0, 1162.0]], ('0.00', 0.9977198839187622)], [[[689.0, 1154.0], [1027.0, 1164.0], [1025.0, 1240.0], [687.0, 1230.0]], ('5948141', 0.9960160255432129)], [[[1156.0, 1167.0], [1637.0, 1176.0], [1636.0, 1248.0], [1155.0, 1239.0]], ('SAVE30%ON', 0.9526035785675049)], [[[2169.0, 1172.0], [2350.0, 1172.0], [2350.0, 1247.0], [2169.0, 1247.0]], ('0.00', 0.9970605373382568)], [[[778.0, 1247.0], [1877.0, 1260.0], [1876.0, 1336.0], [777.0, 1323.0]], ('SAVE 30% 0N XBOX ACCESSORY', 0.9006275534629822)], [[[911.0, 1335.0], [1886.0, 1344.0], [1885.0, 1416.0], [910.0, 1407.0]], ('O.OO GAMING CPN BNDL 2', 0.8914358615875244)], [[[786.0, 1424.0], [2178.0, 1420.0], [2178.0, 1491.0], [786.0, 1495.0]], ('Seria1 # ***************1649', 0.7887564897537231)], [[[783.0, 1503.0], [1182.0, 1513.0], [1180.0, 1588.0], [781.0, 1579.0]], ('Sales Tax', 0.9427993297576904)], [[[1757.0, 1508.0], [1933.0, 1508.0], [1933.0, 1583.0], [1757.0, 1583.0]], ('0.00', 0.9959017634391785)], [[[1637.0, 1672.0], [1972.0, 1672.0], [1972.0, 1747.0], [1637.0, 1747.0]], ('Subtotal', 0.9953208565711975)], [[[2135.0, 1663.0], [2358.0, 1663.0], [2358.0, 1739.0], [2135.0, 1739.0]], ('83.99', 0.9978326559066772)], [[[1034.0, 1693.0], [1416.0, 1683.0], [1418.0, 1788.0], [1037.0, 1798.0]], ('1990', 0.7185936570167542)], [[[1595.0, 1747.0], [1981.0, 1756.0], [1979.0, 1832.0], [1593.0, 1822.0]], ('Sales Tax', 0.9639350175857544)], [[[2168.0, 1748.0], [2359.0, 1738.0], [2364.0, 1818.0], [2172.0, 1828.0]], ('5.04', 0.9957929253578186)], [[[1057.0, 1814.0], [1375.0, 1814.0], [1375.0, 1886.0], [1057.0, 1886.0]], ('DAU02', 0.6101066470146179)], [[[1765.0, 1915.0], [1976.0, 1915.0], [1976.0, 1991.0], [1765.0, 1991.0]], ('Total', 0.997847855091095)], [[[2139.0, 1911.0], [2367.0, 1911.0], [2367.0, 1987.0], [2139.0, 1987.0]], ('89.03', 0.9965726137161255)], [[[1430.0, 2083.0], [1937.0, 2079.0], [1937.0, 2154.0], [1431.0, 2159.0]], ('Scanned USD$', 0.9733688235282898)], [[[2138.0, 2080.0], [2364.0, 2070.0], [2368.0, 2150.0], [2142.0, 2160.0]], ('20.00', 0.9945446848869324)], [[[708.0, 2096.0], [1309.0, 2087.0], [1311.0, 2158.0], [709.0, 2168.0]], ('86******', 0.7192378640174866)], [[[708.0, 2176.0], [1103.0, 2171.0], [1104.0, 2247.0], [709.0, 2251.0]], ('GIFT CARD', 0.9648423790931702)], [[[708.0, 2260.0], [1356.0, 2242.0], [1358.0, 2326.0], [710.0, 2344.0]], ('Approva1 100262', 0.9172237515449524)], [[[1933.0, 2327.0], [2118.0, 2327.0], [2118.0, 2407.0], [1933.0, 2407.0]], ('0.00', 0.9965077042579651)], [[[885.0, 2344.0], [1641.0, 2344.0], [1641.0, 2415.0], [885.0, 2415.0]], ('Remaining Balance:', 0.9751033782958984)], [[[1798.0, 2416.0], [1990.0, 2405.0], [1994.0, 2486.0], [1803.0, 2496.0]], ('USD$', 0.9908818602561951)], [[[2152.0, 2407.0], [2384.0, 2407.0], [2384.0, 2495.0], [2152.0, 2495.0]], ('69.03', 0.9949913024902344)], [[[713.0, 2428.0], [1344.0, 2419.0], [1345.0, 2490.0], [714.0, 2499.0]], ('********8664', 0.8728626370429993)], [[[1426.0, 2419.0], [1838.0, 2419.0], [1838.0, 2491.0], [1426.0, 2491.0]], ('ChipReadL', 0.8857861757278442)], [[[713.0, 2512.0], [1649.0, 2499.0], [1650.0, 2570.0], [714.0, 2583.0]], ('Visa Credit - BBy CARD', 0.9105305075645447)], [[[713.0, 2596.0], [1352.0, 2587.0], [1353.0, 2663.0], [714.0, 2672.0]], ('QAYYUM/MOHAMMAD', 0.9945387244224548)], [[[704.0, 2680.0], [1356.0, 2666.0], [1358.0, 2750.0], [706.0, 2764.0]], ('Approva1 007213', 0.9142444729804993)], [[[709.0, 2860.0], [1224.0, 2860.0], [1224.0, 2932.0], [709.0, 2932.0]], ('MODE: Issuer', 0.9550601840019226)], [[[708.0, 2944.0], [1524.0, 2931.0], [1525.0, 3007.0], [710.0, 3020.0]], ('AID: A0000000031010', 0.9545648694038391)], [[[704.0, 3024.0], [2349.0, 3011.0], [2350.0, 3095.0], [705.0, 3108.0]], ('5% Back in Rewards and Standard Credit', 0.9574249386787415)], [[[876.0, 3192.0], [1998.0, 3196.0], [1997.0, 3280.0], [876.0, 3276.0]], ('GAMING CPN BNDL 1 Savings:', 0.9189975261688232)], [[[2178.0, 3192.0], [2397.0, 3192.0], [2397.0, 3268.0], [2178.0, 3268.0]], ('30.00', 0.99383145570755)], [[[876.0, 3276.0], [1993.0, 3280.0], [1993.0, 3364.0], [876.0, 3360.0]], ('GAMING CPN BNDL 2 Savings', 0.9291460514068604)], [[[2178.0, 3280.0], [2401.0, 3280.0], [2401.0, 3356.0], [2178.0, 3356.0]], ('36.00', 0.99195396900177)], [[[1402.0, 3376.0], [1990.0, 3386.0], [1987.0, 3516.0], [1400.0, 3506.0]], ('Total Savings', 0.9686961770057678)], [[[2169.0, 3368.0], [2410.0, 3368.0], [2410.0, 3515.0], [2169.0, 3515.0]], ('66.00', 0.9926355481147766)], [[[715.0, 3670.0], [1186.0, 3684.0], [1184.0, 3772.0], [712.0, 3758.0]], ('My Best Buy', 0.9555378556251526)], [[[710.0, 3767.0], [1568.0, 3780.0], [1567.0, 3869.0], [708.0, 3855.0]], ('Member ID 4305427517', 0.9355740547180176)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "83.99", "tax": "5.04 0.00 0.00 5.04", "total": "89.03", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "HM3-00001", "item_value": "83.99", "item_quantity": "1"}, {"item_key": "", "item_name": "XBOXONEELITEWIRELESSCONTROLLER", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "$50TRADE-I", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "5948141", "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], [175.0, 80.0], [175.0, 94.0], [66.0, 95.0]], ('OCEANA BEACH INN', 0.9234801530838013)], [[[71.0, 96.0], [171.0, 96.0], [171.0, 109.0], [71.0, 109.0]], ('URB OCEAN PARK', 0.9482437968254089)], [[[55.0, 110.0], [188.0, 110.0], [188.0, 124.0], [55.0, 124.0]], ('SAN JUAN PR 00911-1323', 0.9278382658958435)], [[[90.0, 124.0], [151.0, 124.0], [151.0, 138.0], [90.0, 138.0]], ('787-728-8119', 0.9343453049659729)], [[[89.0, 156.0], [155.0, 156.0], [155.0, 170.0], [89.0, 170.0]], ('RETURN', 0.99628084897995)], [[[135.0, 195.0], [214.0, 195.0], [214.0, 209.0], [135.0, 209.0]], ('REF#00000005', 0.9824942946434021)], [[[30.0, 210.0], [98.0, 210.0], [98.0, 224.0], [30.0, 224.0]], ('Batch #741', 0.9414585828781128)], [[[31.0, 225.0], [70.0, 225.0], [70.0, 236.0], [31.0, 236.0]], ('08/22/16', 0.987882673740387)], [[[177.0, 220.0], [216.0, 222.0], [215.0, 237.0], [176.0, 235.0]], ('19.03:04', 0.9245226979255676)], [[[32.0, 239.0], [95.0, 239.0], [95.0, 250.0], [32.0, 250.0]], ('APPR CODE', 0.951885461807251)], [[[30.0, 251.0], [77.0, 251.0], [77.0, 265.0], [30.0, 265.0]], ('Trace5', 0.9906814694404602)], [[[29.0, 265.0], [100.0, 265.0], [100.0, 276.0], [29.0, 276.0]], ('MASTERCARD', 0.9930739402770996)], [[[179.0, 263.0], [218.0, 265.0], [217.0, 281.0], [178.0, 278.0]], ('Swiped', 0.9946754574775696)], [[[30.0, 307.0], [100.0, 310.0], [99.0, 327.0], [29.0, 324.0]], ('AMOUNT', 0.9969882965087891)], [[[157.0, 310.0], [217.0, 310.0], [217.0, 327.0], [157.0, 327.0]], ('$553.00', 0.9983479380607605)], [[[78.0, 340.0], [167.0, 343.0], [167.0, 359.0], [78.0, 356.0]], ('APPROVED', 0.9968987107276917)], [[[50.0, 373.0], [195.0, 375.0], [195.0, 390.0], [49.0, 388.0]], ('PROCESSORD 00411850017', 0.9723005294799805)], [[[57.0, 385.0], [191.0, 389.0], [190.0, 406.0], [56.0, 402.0]], ('THANK YOU GRACIAS', 0.9034354090690613)], [[[76.0, 414.0], [170.0, 419.0], [169.0, 433.0], [75.0, 428.0]], ('CUSTOMER COPY', 0.9642817974090576)]]	{"store_name": "OCEANABEACHINN", "store_addr": "SANJUAN,PR.00911-1323 URBOCEANPARK", "telephone": "787-728-8119", "date": "08/22/16", "time": "19:03:04", "subtotal": "", "tax": "", "total": "$553.00", "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	[[[[1255.0, 143.0], [1349.0, 143.0], [1349.0, 194.0], [1255.0, 194.0]], ('Bon', 0.9975833296775818)], [[[707.0, 374.0], [1207.0, 388.0], [1205.0, 446.0], [705.0, 431.0]], ('Apple Store,Amsterdam', 0.9576864838600159)], [[[700.0, 435.0], [1287.0, 449.0], [1285.0, 517.0], [698.0, 503.0]], ('Hirschgebouw,Leidseplein 25', 0.9372535943984985)], [[[701.0, 499.0], [1090.0, 521.0], [1086.0, 579.0], [698.0, 557.0]], ('1017PS Amsterdam', 0.9447149038314819)], [[[690.0, 567.0], [1166.0, 586.0], [1163.0, 643.0], [688.0, 625.0]], ('amsterdam@apple.com', 0.996656596660614)], [[[694.0, 625.0], [968.0, 644.0], [964.0, 691.0], [691.0, 672.0]], ('0205302200', 0.9945796132087708)], [[[683.0, 686.0], [1301.0, 715.0], [1299.0, 773.0], [681.0, 744.0]], ('www.apple.com/nl/amsterdam', 0.9964410066604614)], [[[688.0, 740.0], [1208.0, 780.0], [1204.0, 827.0], [684.0, 788.0]], ('BTWNR:NL815024757B02', 0.9576717615127563)], [[[681.0, 798.0], [1264.0, 838.0], [1259.0, 895.0], [677.0, 856.0]], ('Apple Retail Netherlands B.V.', 0.9508551359176636)], [[[681.0, 866.0], [1055.0, 895.0], [1051.0, 946.0], [677.0, 917.0]], ('KV.K.NR34236124', 0.9511774182319641)], [[[670.0, 1009.0], [1016.0, 1028.0], [1013.0, 1086.0], [667.0, 1067.0]], ('ARTEM DOGTIEV', 0.9690591096878052)], [[[661.0, 1073.0], [819.0, 1086.0], [814.0, 1144.0], [656.0, 1131.0]], ('0@0.n', 0.8939496278762817)], [[[665.0, 1176.0], [1552.0, 1208.0], [1550.0, 1262.0], [663.0, 1230.0]], ('Adopted Lens Case iPhone 5-Transparant', 0.9675266146659851)], [[[658.0, 1244.0], [1238.0, 1262.0], [1237.0, 1310.0], [657.0, 1292.0]], ('Artikelnummer:HA879ZM/A', 0.9655734896659851)], [[[652.0, 1305.0], [1183.0, 1323.0], [1181.0, 1381.0], [650.0, 1363.0]], ('Retourdatum:jul.10,2013', 0.9394603967666626)], [[[645.0, 1366.0], [1736.0, 1395.0], [1734.0, 1463.0], [643.0, 1434.0]], ('Ga voor meer informatie naar:www.getadopted.com', 0.9615671634674072)], [[[635.0, 1505.0], [825.0, 1514.0], [822.0, 1572.0], [632.0, 1563.0]], ('Per stuk', 0.9213098287582397)], [[[1021.0, 1515.0], [1180.0, 1524.0], [1177.0, 1582.0], [1018.0, 1573.0]], ('BTW%', 0.8757157325744629)], [[[1746.0, 1530.0], [1902.0, 1530.0], [1902.0, 1591.0], [1746.0, 1591.0]], ('Aantal', 0.9980147480964661)], [[[635.0, 1573.0], [797.0, 1582.0], [794.0, 1643.0], [632.0, 1634.0]], ('20,62', 0.8984621167182922)], [[[1018.0, 1583.0], [1163.0, 1592.0], [1159.0, 1654.0], [1014.0, 1644.0]], ('21,0%', 0.9692956209182739)], [[[633.0, 1649.0], [904.0, 1649.0], [904.0, 1707.0], [633.0, 1707.0]], ('Prijs ex BTW', 0.8997345566749573)], [[[1022.0, 1659.0], [1130.0, 1659.0], [1130.0, 1714.0], [1022.0, 1714.0]], ('BTW', 0.9967947006225586)], [[[1756.0, 1661.0], [1907.0, 1674.0], [1902.0, 1736.0], [1751.0, 1722.0]], ('Totaal', 0.9963820576667786)], [[[629.0, 1717.0], [789.0, 1717.0], [789.0, 1778.0], [629.0, 1778.0]], ('20,62', 0.9235763549804688)], [[[1011.0, 1723.0], [1152.0, 1732.0], [1148.0, 1793.0], [1007.0, 1784.0]], ('433', 0.9893073439598083)], [[[1734.0, 1733.0], [1907.0, 1742.0], [1903.0, 1803.0], [1731.0, 1794.0]], ('24,95', 0.945961594581604)], [[[622.0, 1886.0], [770.0, 1895.0], [766.0, 1956.0], [618.0, 1947.0]], ('Totaal', 0.9964547753334045)], [[[624.0, 1958.0], [898.0, 1966.0], [896.0, 2024.0], [622.0, 2016.0]], ('Prijs ex BTW', 0.9377648234367371)], [[[1012.0, 1975.0], [1120.0, 1975.0], [1120.0, 2030.0], [1012.0, 2030.0]], ('BTW', 0.9974855780601501)], [[[1748.0, 1981.0], [1900.0, 1990.0], [1896.0, 2051.0], [1744.0, 2042.0]], ('Totaal', 0.9971342086791992)], [[[625.0, 2019.0], [797.0, 2027.0], [794.0, 2089.0], [621.0, 2080.0]], ('20,62', 0.9131606817245483)], [[[1004.0, 2032.0], [1156.0, 2041.0], [1152.0, 2102.0], [1000.0, 2093.0]], ('4,33', 0.884463906288147)], [[[1716.0, 2043.0], [1896.0, 2051.0], [1893.0, 2112.0], [1713.0, 2104.0]], ('24,95', 0.9443788528442383)], [[[628.0, 2134.0], [884.0, 2146.0], [881.0, 2204.0], [625.0, 2192.0]], ('Betaalwize', 0.989162802696228)], [[[627.0, 2199.0], [950.0, 2211.0], [948.0, 2268.0], [625.0, 2257.0]], ('Visa Debit (ICC)', 0.9249541759490967)], [[[1721.0, 2227.0], [1878.0, 2227.0], [1878.0, 2278.0], [1721.0, 2278.0]], ('24,95', 0.947853684425354)], [[[633.0, 2278.0], [921.0, 2278.0], [921.0, 2326.0], [633.0, 2326.0]], ('xxxxxxxx6788', 0.8237282633781433)], [[[628.0, 2328.0], [790.0, 2337.0], [787.0, 2395.0], [625.0, 2386.0]], ('574614', 0.9013957381248474)], [[[638.0, 2396.0], [929.0, 2408.0], [927.0, 2459.0], [636.0, 2447.0]], ('408507482261', 0.9970081448554993)], [[[906.0, 2512.0], [1312.0, 2527.0], [1309.0, 2585.0], [903.0, 2570.0]], ('Totaal betaalmiddel', 0.972112774848938)], [[[1703.0, 2524.0], [1858.0, 2515.0], [1862.0, 2576.0], [1706.0, 2585.0]], ('24,95', 0.9444963335990906)], [[[784.0, 2573.0], [1315.0, 2595.0], [1313.0, 2653.0], [782.0, 2631.0]], ('Terug te geven wisselgeld', 0.988248884677887)], [[[1723.0, 2585.0], [1861.0, 2576.0], [1865.0, 2637.0], [1728.0, 2646.0]], ('0,00', 0.920491099357605)], [[[645.0, 2654.0], [964.0, 2673.0], [961.0, 2721.0], [642.0, 2702.0]], ('BTW-overzicht:', 0.9821410775184631)], [[[652.0, 2709.0], [877.0, 2724.0], [874.0, 2769.0], [649.0, 2753.0]], ('BTW-tarief', 0.9864473342895508)], [[[1087.0, 2729.0], [1312.0, 2745.0], [1308.0, 2796.0], [1084.0, 2780.0]], ('BTW-basis', 0.9917178750038147)], [[[1746.0, 2747.0], [1857.0, 2747.0], [1857.0, 2798.0], [1746.0, 2798.0]], ('BTW', 0.9962999224662781)], [[[652.0, 2760.0], [787.0, 2769.0], [784.0, 2816.0], [649.0, 2807.0]], ('21,0%', 0.9579616785049438)], [[[1153.0, 2791.0], [1315.0, 2799.0], [1313.0, 2850.0], [1150.0, 2842.0]], ('20,62', 0.9294782876968384)], [[[1721.0, 2805.0], [1857.0, 2805.0], [1857.0, 2866.0], [1721.0, 2866.0]], ('4,33', 0.8584475517272949)], [[[666.0, 2848.0], [992.0, 2867.0], [989.0, 2918.0], [663.0, 2899.0]], ('26/06/13-20:44', 0.9743828177452087)], [[[852.0, 3104.0], [1638.0, 3111.0], [1637.0, 3169.0], [852.0, 3162.0]], ('R4085074822', 0.9843882322311401)]]	{"store_name": "AppleStore,Amsterdam", "store_addr": "1017PSAmsterdam Hirschgebouw,Leidseplein25", "telephone": "0205302200", "date": "26/06/13- jul.10,2013", "time": "20:44", "subtotal": "\u20ac20,62 \u20ac20,62 \u20ac20,62 \u20ac20,62", "tax": "\u20ac4,33 \u20ac4,33 \u20ac4,33", "total": "\u20ac24,95 \u20ac24,95 \u20ac24,95 \u20ac24,95", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Perstuk", "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	[[[[91.0, 192.0], [334.0, 188.0], [335.0, 208.0], [92.0, 212.0]], ('The Press Room', 0.9498944878578186)], [[[342.0, 274.0], [392.0, 274.0], [392.0, 296.0], [342.0, 296.0]], ('Gst 4', 0.8905714154243469)], [[[218.0, 297.0], [284.0, 297.0], [284.0, 319.0], [218.0, 319.0]], ('01:08PM', 0.9448289275169373)], [[[58.0, 340.0], [177.0, 340.0], [177.0, 360.0], [58.0, 360.0]], ('4 Set Lunch138', 0.9408926367759705)], [[[304.0, 339.0], [361.0, 339.0], [361.0, 360.0], [304.0, 360.0]], ('552.00', 0.9971177577972412)], [[[57.0, 362.0], [152.0, 364.0], [152.0, 382.0], [56.0, 380.0]], ('3 Starter 1', 0.946556031703949)], [[[323.0, 363.0], [361.0, 363.0], [361.0, 382.0], [323.0, 382.0]], ('0.00', 0.9967125654220581)], [[[57.0, 382.0], [144.0, 384.0], [144.0, 404.0], [56.0, 402.0]], ('1 Set Soup', 0.926701545715332)], [[[323.0, 384.0], [361.0, 384.0], [361.0, 403.0], [323.0, 403.0]], ('0.00', 0.9951938390731812)], [[[58.0, 403.0], [128.0, 405.0], [128.0, 424.0], [57.0, 422.0]], ('1 Main 1', 0.9283254146575928)], [[[322.0, 406.0], [360.0, 406.0], [360.0, 425.0], [322.0, 425.0]], ('0.00', 0.9973582029342651)], [[[58.0, 425.0], [129.0, 425.0], [129.0, 443.0], [58.0, 443.0]], ('2 Main 4', 0.8973328471183777)], [[[322.0, 427.0], [359.0, 427.0], [359.0, 446.0], [322.0, 446.0]], ('0.00', 0.9974454641342163)], [[[58.0, 446.0], [128.0, 446.0], [128.0, 464.0], [58.0, 464.0]], ('1 Main 2', 0.9154077768325806)], [[[321.0, 448.0], [359.0, 448.0], [359.0, 467.0], [321.0, 467.0]], ('0.00', 0.9971991777420044)], [[[57.0, 465.0], [160.0, 467.0], [160.0, 487.0], [56.0, 485.0]], ('2 Set dess 1', 0.936189591884613)], [[[321.0, 469.0], [358.0, 469.0], [358.0, 488.0], [321.0, 488.0]], ('0.00', 0.9970816373825073)], [[[57.0, 485.0], [162.0, 489.0], [161.0, 507.0], [56.0, 503.0]], ('2 Set dess 2', 0.9124746322631836)], [[[320.0, 487.0], [359.0, 490.0], [357.0, 510.0], [318.0, 507.0]], ('0.00', 0.9977146983146667)], [[[57.0, 505.0], [178.0, 509.0], [177.0, 530.0], [56.0, 526.0]], ('2 Spark WaterS', 0.9261192083358765)], [[[311.0, 507.0], [360.0, 510.0], [359.0, 531.0], [309.0, 528.0]], ('60.00', 0.9941299557685852)], [[[74.0, 545.0], [114.0, 548.0], [112.0, 571.0], [72.0, 568.0]], ('Food', 0.9981067180633545)], [[[302.0, 549.0], [359.0, 552.0], [358.0, 573.0], [302.0, 570.0]], ('552.00', 0.9963614344596863)], [[[74.0, 568.0], [143.0, 573.0], [142.0, 591.0], [73.0, 586.0]], ('Beverage', 0.995410680770874)], [[[311.0, 571.0], [360.0, 574.0], [359.0, 596.0], [309.0, 593.0]], ('60.00', 0.9974335432052612)], [[[75.0, 588.0], [178.0, 593.0], [177.0, 613.0], [74.0, 608.0]], ('10% Svc Chag', 0.9108278155326843)], [[[311.0, 592.0], [360.0, 595.0], [359.0, 617.0], [309.0, 614.0]], ('61.00', 0.9969900846481323)], [[[108.0, 610.0], [186.0, 614.0], [185.0, 634.0], [107.0, 630.0]], ('Total Due', 0.929169774055481)], [[[251.0, 614.0], [358.0, 618.0], [357.0, 638.0], [250.0, 635.0]], ('673.00', 0.996595561504364)], [[[77.0, 651.0], [345.0, 661.0], [344.0, 680.0], [76.0, 670.0]], ('-WEEKEND BRUNCH-', 0.9716666340827942)], [[[110.0, 675.0], [317.0, 683.0], [316.0, 700.0], [109.0, 692.0]], ('--AVAILABLE-', 0.9764934182167053)], [[[80.0, 692.0], [339.0, 703.0], [338.0, 724.0], [79.0, 713.0]], ('-ON SAT&SUN-', 0.9223380088806152)]]	{"store_name": "PR ThePressRoom", "store_addr": "", "telephone": "", "date": "", "time": "01:08PM", "subtotal": "", "tax": "", "total": "673.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Starter1", "item_value": "552.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SetSoup", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Main1", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Main4", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Main2", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Setdess1", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Setdess2", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SparkWaterS", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SetLunch138", "item_value": "60.00", "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	[[[[123.0, 34.0], [337.0, 19.0], [338.0, 40.0], [124.0, 54.0]], ('FUEL KING SERVICE CENTER', 0.9328973889350891)], [[[50.0, 55.0], [422.0, 41.0], [423.0, 67.0], [51.0, 82.0]], ('BUS.STYLERETAIL SALE OF AUTOMOTIVE FUEL.', 0.8998785018920898)], [[[79.0, 83.0], [394.0, 67.0], [395.0, 91.0], [80.0, 106.0]], ('270F.BLUM.ST.RATIS SANJUAN CITY', 0.9230778813362122)], [[[79.0, 107.0], [395.0, 94.0], [396.0, 117.0], [80.0, 131.0]], ('VAT Registered TIN 110-005-602-003', 0.949597179889679)], [[[134.0, 133.0], [341.0, 121.0], [342.0, 142.0], [136.0, 153.0]], ('OPERATOR:LYNDON GO CO.', 0.9284417629241943)], [[[107.0, 156.0], [363.0, 146.0], [364.0, 169.0], [108.0, 180.0]], ('SNDSC-072810MIN10013672', 0.9469165802001953)], [[[55.0, 207.0], [212.0, 207.0], [212.0, 227.0], [55.0, 227.0]], ('03-06-20173:01', 0.9492168426513672)], [[[253.0, 203.0], [311.0, 200.0], [312.0, 221.0], [254.0, 225.0]], ('POS#1', 0.9598770141601562)], [[[54.0, 232.0], [177.0, 232.0], [177.0, 252.0], [54.0, 252.0]], ('Mabuti,Susan', 0.9398136734962463)], [[[254.0, 230.0], [375.0, 224.0], [376.0, 245.0], [255.0, 250.0]], ('OR#002386242', 0.9767906665802002)], [[[53.0, 282.0], [195.0, 278.0], [195.0, 299.0], [53.0, 302.0]], ('04-EURD GAS91', 0.857593297958374)], [[[118.0, 304.0], [309.0, 301.0], [310.0, 324.0], [118.0, 328.0]], ('43.9522.900VAT P', 0.9268562197685242)], [[[349.0, 301.0], [427.0, 298.0], [428.0, 322.0], [350.0, 326.0]], ('1,006.45', 0.8801500797271729)], [[[53.0, 334.0], [188.0, 331.0], [189.0, 352.0], [53.0, 354.0]], ('Acc Dis/Chg-Cr', 0.914383053779602)], [[[120.0, 358.0], [172.0, 358.0], [172.0, 380.0], [120.0, 380.0]], ('-3.00', 0.9042152166366577)], [[[251.0, 355.0], [291.0, 355.0], [291.0, 377.0], [251.0, 377.0]], ('UAT', 0.800916850566864)], [[[372.0, 352.0], [432.0, 349.0], [433.0, 370.0], [373.0, 374.0]], ('-68.70', 0.9438791871070862)], [[[73.0, 385.0], [144.0, 385.0], [144.0, 406.0], [73.0, 406.0]], ('Inhouse', 0.9604219198226929)], [[[299.0, 380.0], [315.0, 380.0], [315.0, 401.0], [299.0, 401.0]], ('P', 0.8127931356430054)], [[[375.0, 377.0], [435.0, 374.0], [436.0, 396.0], [376.0, 398.0]], ('937.76', 0.9764118790626526)], [[[71.0, 411.0], [200.0, 408.0], [200.0, 428.0], [72.0, 432.0]], ('Total INVOICE', 0.9580761194229126)], [[[378.0, 402.0], [439.0, 400.0], [440.0, 420.0], [378.0, 423.0]], ('937.76', 0.9858617782592773)], [[[304.0, 431.0], [319.0, 431.0], [319.0, 451.0], [304.0, 451.0]], ('P', 0.8614134788513184)], [[[381.0, 427.0], [444.0, 424.0], [445.0, 446.0], [381.0, 448.0]], ('937.76', 0.9587585926055908)], [[[72.0, 439.0], [202.0, 434.0], [202.0, 455.0], [73.0, 459.0]], ('Total Payment', 0.9634031057357788)], [[[388.0, 479.0], [451.0, 475.0], [453.0, 496.0], [389.0, 500.0]], ('837.29', 0.9719646573066711)], [[[69.0, 493.0], [194.0, 487.0], [195.0, 508.0], [70.0, 513.0]], ('WATable Sale', 0.9094398021697998)], [[[312.0, 507.0], [330.0, 507.0], [330.0, 531.0], [312.0, 531.0]], ('P', 0.8797782063484192)], [[[413.0, 503.0], [458.0, 501.0], [459.0, 522.0], [414.0, 525.0]], ('0.00', 0.9885562062263489)], [[[68.0, 519.0], [224.0, 513.0], [225.0, 533.0], [69.0, 540.0]], ('VAT-Exempt Sale', 0.910365641117096)], [[[315.0, 533.0], [331.0, 533.0], [331.0, 556.0], [315.0, 556.0]], ('P', 0.8255743980407715)], [[[417.0, 529.0], [463.0, 526.0], [464.0, 549.0], [418.0, 551.0]], ('0.00', 0.9915677309036255)], [[[66.0, 546.0], [266.0, 537.0], [267.0, 558.0], [67.0, 566.0]], ('VAT-Zero Rated Sale', 0.9378072023391724)], [[[323.0, 590.0], [340.0, 590.0], [340.0, 614.0], [323.0, 614.0]], ('P', 0.8462492227554321)], [[[408.0, 585.0], [476.0, 581.0], [477.0, 606.0], [409.0, 609.0]], ('937.29', 0.9664185047149658)], [[[62.0, 602.0], [176.0, 597.0], [177.0, 620.0], [63.0, 626.0]], ('Total Sale', 0.9407023191452026)], [[[326.0, 619.0], [343.0, 619.0], [343.0, 643.0], [326.0, 643.0]], ('P', 0.741062343120575)], [[[414.0, 615.0], [481.0, 610.0], [483.0, 635.0], [415.0, 640.0]], ('100.47', 0.9946115016937256)], [[[59.0, 630.0], [99.0, 630.0], [99.0, 656.0], [59.0, 656.0]], ('VAT', 0.9905981421470642)]]	{"store_name": "FUELKINGSERVICECENTER", "store_addr": "270F.BLUM.ST.BATISSANJUANCITY", "telephone": "", "date": "03-06-2017", "time": "3:01pm", "subtotal": "837.29 837.29", "tax": "100.47 0.00 0.00", "total": "937.76 937.76 937.76", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "04-EUROGAS91", "item_value": "1,006.46", "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	[[[[251.0, 55.0], [457.0, 58.0], [457.0, 80.0], [250.0, 77.0]], ('6548 EL CAJON BLVD', 0.9252154231071472)], [[[249.0, 82.0], [460.0, 80.0], [460.0, 102.0], [249.0, 104.0]], ('SAN DIEGO,CA 92115', 0.8893601894378662)], [[[293.0, 106.0], [417.0, 104.0], [418.0, 125.0], [293.0, 127.0]], ('6192298500', 0.9977661967277527)], [[[277.0, 145.0], [437.0, 138.0], [438.0, 170.0], [278.0, 178.0]], ('ORDER:34', 0.9609750509262085)], [[[153.0, 194.0], [383.0, 178.0], [385.0, 201.0], [155.0, 218.0]], ('CashierOFER GRISSARO', 0.9720472097396851)], [[[154.0, 221.0], [354.0, 206.0], [355.0, 228.0], [156.0, 243.0]], ('04-Jan-2017 1:19:34P', 0.9366337656974792)], [[[155.0, 256.0], [330.0, 243.0], [332.0, 264.0], [157.0, 276.0]], ('Transaction 001293', 0.9747695922851562)], [[[518.0, 264.0], [577.0, 261.0], [578.0, 285.0], [520.0, 288.0]], ('$9.95', 0.9985952377319336)], [[[152.0, 278.0], [361.0, 267.0], [363.0, 288.0], [153.0, 299.0]], ('1Lamb&Beef Kebab', 0.9576331377029419)], [[[206.0, 298.0], [577.0, 286.0], [578.0, 310.0], [207.0, 322.0]], ('Cabbage cooked in tomato Sauce $0.00', 0.9559627175331116)], [[[383.0, 320.0], [576.0, 313.0], [577.0, 335.0], [384.0, 342.0]], ('Babaganoush $0.00', 0.970291256904602)], [[[151.0, 370.0], [310.0, 370.0], [310.0, 391.0], [151.0, 391.0]], ('1Falafel In Pita', 0.9541099071502686)], [[[519.0, 361.0], [580.0, 361.0], [580.0, 388.0], [519.0, 388.0]], ('$9.95', 0.9952201843261719)], [[[468.0, 389.0], [578.0, 386.0], [579.0, 408.0], [468.0, 411.0]], ('Fries $0.00', 0.9499977231025696)], [[[463.0, 414.0], [578.0, 411.0], [579.0, 433.0], [464.0, 436.0]], ('Drink $0.00', 0.9614393711090088)], [[[427.0, 440.0], [578.0, 436.0], [579.0, 458.0], [428.0, 462.0]], ('Hummus $0.00', 0.9659290313720703)], [[[145.0, 514.0], [229.0, 514.0], [229.0, 535.0], [145.0, 535.0]], ('Subtotal', 0.9969722628593445)], [[[509.0, 511.0], [581.0, 511.0], [581.0, 533.0], [509.0, 533.0]], ('$19.90', 0.998660147190094)], [[[144.0, 537.0], [182.0, 540.0], [180.0, 561.0], [142.0, 558.0]], ('Tax', 0.997833251953125)], [[[521.0, 536.0], [581.0, 533.0], [582.0, 557.0], [522.0, 560.0]], ('$1.59', 0.9983809590339661)], [[[140.0, 585.0], [192.0, 585.0], [192.0, 608.0], [140.0, 608.0]], ('Total', 0.9987379312515259)], [[[511.0, 585.0], [583.0, 585.0], [583.0, 608.0], [511.0, 608.0]], ('$21.49', 0.9976392388343811)], [[[139.0, 622.0], [338.0, 623.0], [338.0, 644.0], [138.0, 643.0]], ('CREDIT CARD AUTH', 0.9417266845703125)], [[[512.0, 621.0], [585.0, 621.0], [585.0, 647.0], [512.0, 647.0]], ('$21.49', 0.9971911311149597)], [[[137.0, 647.0], [253.0, 649.0], [252.0, 671.0], [136.0, 669.0]], ('AMEX1012', 0.9951503872871399)], [[[138.0, 684.0], [359.0, 687.0], [359.0, 707.0], [137.0, 705.0]], ('04-Jan-20171:24:46P', 0.957049548625946)], [[[139.0, 710.0], [389.0, 714.0], [389.0, 734.0], [138.0, 731.0]], ('$21.49Method:SWIPED', 0.9423206448554993)], [[[138.0, 737.0], [419.0, 741.0], [419.0, 759.0], [137.0, 756.0]], ('AMEXXXXXXXXXXXXX1012', 0.9698832631111145)], [[[135.0, 762.0], [514.0, 767.0], [513.0, 788.0], [135.0, 783.0]], ('Ref#700400515850Auth#:526527', 0.9779311418533325)], [[[134.0, 788.0], [313.0, 791.0], [313.0, 812.0], [134.0, 809.0]], ('MID****++3889', 0.7808037400245667)], [[[136.0, 818.0], [324.0, 818.0], [324.0, 835.0], [136.0, 835.0]], ('AthNtwkNm:AMEX', 0.9557711482048035)], [[[134.0, 843.0], [349.0, 844.0], [349.0, 863.0], [134.0, 861.0]], ('SIGNATURE VERIFIED', 0.9729515910148621)], [[[133.0, 895.0], [381.0, 896.0], [381.0, 917.0], [133.0, 916.0]], ('Order WNED863K6PQM2', 0.9773889780044556)]]	{"store_name": "TWOBROTHERSRESTAURANT", "store_addr": "SANDIEGO,CA92115 6548ELCAJONBLVD", "telephone": "6192298500", "date": "04-Jan-2017 04Jan-2017", "time": "1:24:46P", "subtotal": "$19.90", "tax": "$1.59", "total": "$21.49", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "FalafelInPita", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Babaganoush", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Hummus", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Drink", "item_value": "$9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "Fries", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CabbagecookedintomatoSauce", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Lamb&BeefKebab", "item_value": "$9.95", "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	[[[[134.0, 54.0], [267.0, 48.0], [268.0, 70.0], [135.0, 76.0]], ('save-on-foods', 0.9942985773086548)], [[[105.0, 103.0], [335.0, 101.0], [335.0, 122.0], [105.0, 125.0]], ('B.C.OWNED AND OPERATED', 0.9505811333656311)], [[[96.0, 129.0], [345.0, 129.0], [345.0, 149.0], [96.0, 149.0]], ('yisit www.saveonfoods.com', 0.9597356915473938)], [[[132.0, 152.0], [202.0, 150.0], [202.0, 174.0], [132.0, 175.0]], ('G.S.T', 0.9665617942810059)], [[[23.0, 204.0], [142.0, 204.0], [142.0, 226.0], [23.0, 226.0]], ('Dish Scrunge', 0.9787132740020752)], [[[352.0, 201.0], [425.0, 201.0], [425.0, 224.0], [352.0, 224.0]], ('14.95B', 0.9899771809577942)], [[[31.0, 226.0], [97.0, 224.0], [98.0, 246.0], [32.0, 248.0]], ('502.99', 0.9666444659233093)], [[[22.0, 277.0], [114.0, 277.0], [114.0, 299.0], [22.0, 299.0]], ('Sub Total', 0.9285459518432617)], [[[336.0, 276.0], [402.0, 274.0], [403.0, 300.0], [337.0, 302.0]], ('$14.95', 0.9960758686065674)], [[[22.0, 326.0], [153.0, 329.0], [152.0, 351.0], [22.0, 347.0]], ('Vendor Coupon', 0.9765609502792358)], [[[339.0, 328.0], [421.0, 328.0], [421.0, 350.0], [339.0, 350.0]], ('-14.95B', 0.976019561290741)], [[[37.0, 352.0], [106.0, 352.0], [106.0, 370.0], [37.0, 370.0]], ('-502.99', 0.9758843183517456)], [[[60.0, 400.0], [220.0, 400.0], [220.0, 418.0], [60.0, 418.0]], ('BALANCE DUE', 0.9609714150428772)], [[[338.0, 400.0], [414.0, 400.0], [414.0, 419.0], [338.0, 419.0]], ('000$', 0.9442015886306763)], [[[63.0, 423.0], [107.0, 423.0], [107.0, 447.0], [63.0, 447.0]], ('Cash', 0.9975666403770447)], [[[344.0, 426.0], [398.0, 423.0], [399.0, 447.0], [345.0, 450.0]], ('$0.00', 0.9982911348342896)], [[[61.0, 448.0], [148.0, 448.0], [148.0, 466.0], [61.0, 466.0]], ('CHANGE', 0.9984399676322937)], [[[337.0, 449.0], [411.0, 449.0], [411.0, 467.0], [337.0, 467.0]], ('$0.00', 0.9961525201797485)], [[[18.0, 496.0], [426.0, 498.0], [426.0, 516.0], [18.0, 514.0]], ('****************************************', 0.9628656506538391)], [[[56.0, 520.0], [386.0, 522.0], [386.0, 543.0], [55.0, 540.0]], ('By being a More Rewards Cardholder', 0.9476193785667419)], [[[47.0, 543.0], [251.0, 545.0], [251.0, 566.0], [47.0, 563.0]], ('You could have earned', 0.9579477906227112)], [[[318.0, 547.0], [406.0, 547.0], [406.0, 565.0], [318.0, 565.0]], ('15 points', 0.9370813369750977)], [[[20.0, 565.0], [425.0, 571.0], [425.0, 588.0], [20.0, 583.0]], ('****************************************', 0.960236668586731)], [[[103.0, 589.0], [347.0, 594.0], [346.0, 614.0], [102.0, 610.0]], ('How was your visit today?', 0.9487847685813904)], [[[47.0, 611.0], [403.0, 618.0], [403.0, 640.0], [47.0, 633.0]], ('Te11 us at www.saveonfoods.com/survey', 0.955991268157959)], [[[114.0, 636.0], [336.0, 640.0], [336.0, 661.0], [114.0, 657.0]], ('and enter to win a $200', 0.9294140934944153)], [[[114.0, 659.0], [335.0, 664.0], [335.0, 685.0], [114.0, 679.0]], ('Save On Foods gift card', 0.9492581486701965)], [[[87.0, 704.0], [326.0, 711.0], [325.0, 732.0], [87.0, 725.0]], ('100% MONEY BACK GUARANTEE', 0.9425250291824341)], [[[68.0, 728.0], [345.0, 735.0], [344.0, 754.0], [68.0, 748.0]], ('if returned within 14 days of', 0.9591317176818848)], [[[67.0, 751.0], [353.0, 758.0], [352.0, 778.0], [67.0, 772.0]], ('purchase with original receipt', 0.9705867171287537)]]	{"store_name": "save-on-foods", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$14.95", "tax": "", "total": "$0.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "DishScrunge", "item_value": "4.95", "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	[[[[43.0, 7.0], [553.0, 9.0], [553.0, 33.0], [43.0, 32.0]], ('*REPRINT REPRINTREPRINT', 0.9620047211647034)], [[[33.0, 74.0], [309.0, 75.0], [308.0, 97.0], [33.0, 96.0]], ('REGULAR Grade 01) CA', 0.8899742960929871)], [[[341.0, 74.0], [437.0, 74.0], [437.0, 99.0], [341.0, 99.0]], ('PUMP#5', 0.9883823990821838)], [[[35.0, 107.0], [330.0, 107.0], [330.0, 131.0], [35.0, 131.0]], ('18.564GAL@$0.019/GAL', 0.9793093800544739)], [[[460.0, 103.0], [580.0, 103.0], [580.0, 133.0], [460.0, 133.0]], ('$0.3599', 0.9976583123207092)], [[[34.0, 170.0], [457.0, 171.0], [457.0, 193.0], [34.0, 192.0]], ('DISCOUNTS APPLIED BEFORE FUELING', 0.9554980397224426)], [[[35.0, 204.0], [278.0, 204.0], [278.0, 226.0], [35.0, 226.0]], ('Rewards $-2.180/GAL', 0.9663068652153015)], [[[280.0, 263.0], [412.0, 263.0], [412.0, 290.0], [280.0, 290.0]], ('Subtotal=', 0.9700825810432434)], [[[456.0, 263.0], [527.0, 260.0], [528.0, 291.0], [457.0, 294.0]], ('$0.35', 0.9961035847663879)], [[[327.0, 293.0], [415.0, 293.0], [415.0, 324.0], [327.0, 324.0]], ('Tax=', 0.9913274645805359)], [[[458.0, 295.0], [528.0, 295.0], [528.0, 323.0], [458.0, 323.0]], ('$0.00', 0.9950751066207886)], [[[317.0, 356.0], [413.0, 356.0], [413.0, 386.0], [317.0, 386.0]], ('Total =', 0.9276530146598816)], [[[457.0, 356.0], [528.0, 356.0], [528.0, 387.0], [457.0, 387.0]], ('$0.35', 0.9967705607414246)], [[[49.0, 423.0], [550.0, 423.0], [550.0, 445.0], [49.0, 445.0]], (' REPRINT REPRINT REPRINT *', 0.94062340259552)], [[[240.0, 482.0], [455.0, 484.0], [455.0, 513.0], [240.0, 511.0]], ('Change Due =', 0.9527425169944763)], [[[441.0, 484.0], [526.0, 484.0], [526.0, 511.0], [441.0, 511.0]], ('$-0.03', 0.9531891942024231)], [[[30.0, 545.0], [90.0, 545.0], [90.0, 577.0], [30.0, 577.0]], ('Cash', 0.9974358081817627)], [[[447.0, 546.0], [528.0, 546.0], [528.0, 575.0], [447.0, 575.0]], ('$50.00', 0.9957183003425598)], [[[33.0, 579.0], [176.0, 579.0], [176.0, 605.0], [33.0, 605.0]], ('Refund Cash', 0.9677889347076416)], [[[433.0, 580.0], [526.0, 580.0], [526.0, 607.0], [433.0, 607.0]], ('$-49.62', 0.9871963858604431)], [[[36.0, 706.0], [458.0, 706.0], [458.0, 731.0], [36.0, 731.0]], ('Today you saved a T0TAL of $40.47', 0.9112048745155334)], [[[35.0, 767.0], [293.0, 770.0], [293.0, 795.0], [35.0, 791.0]], ('Fue1 Rewards program', 0.9462292790412903)], [[[37.0, 800.0], [278.0, 800.0], [278.0, 822.0], [37.0, 822.0]], ('YouSaved $2.18/ga]', 0.8917853236198425)], [[[35.0, 829.0], [241.0, 831.0], [241.0, 857.0], [35.0, 854.0]], ('Up To 20 Ga11ons', 0.892850399017334)], [[[35.0, 861.0], [329.0, 862.0], [329.0, 887.0], [35.0, 886.0]], ('Tota1 Balance $0.74/Ga1', 0.905735433101654)], [[[36.0, 894.0], [203.0, 894.0], [203.0, 916.0], [36.0, 916.0]], ('On 02/28/2017', 0.9445164799690247)], [[[36.0, 922.0], [267.0, 924.0], [267.0, 949.0], [36.0, 947.0]], ('$0.00/Ga1 Expires', 0.9598541259765625)], [[[38.0, 957.0], [291.0, 957.0], [291.0, 979.0], [38.0, 979.0]], ('Amount Saved:$40.47', 0.9446594715118408)], [[[36.0, 987.0], [367.0, 987.0], [367.0, 1012.0], [36.0, 1012.0]], ('Lifetime Savings:$266.21', 0.9560142159461975)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "$0.35", "tax": "$0.00", "total": "$0.35", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "REGULAR(Grade01)CAPUMP#5", "item_value": "$0.35", "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	[[[[318.0, 127.0], [670.0, 147.0], [666.0, 223.0], [313.0, 203.0]], ('Walmart', 0.9938886761665344)], [[[320.0, 208.0], [667.0, 222.0], [665.0, 259.0], [318.0, 245.0]], ('Save money.Live better', 0.9637577533721924)], [[[430.0, 269.0], [658.0, 279.0], [657.0, 307.0], [429.0, 297.0]], ('520625-3808', 0.9610849618911743)], [[[426.0, 293.0], [656.0, 302.0], [655.0, 331.0], [425.0, 321.0]], ('MANAGER JAHES GROW', 0.8651362657546997)], [[[426.0, 339.0], [656.0, 348.0], [655.0, 379.0], [425.0, 369.0]], ('SAHUARITA AZ 85629', 0.9454612731933594)], [[[302.0, 382.0], [647.0, 394.0], [646.0, 422.0], [301.0, 410.0]], ('BURN0UT HENL 07046253082350', 0.9383237361907959)], [[[302.0, 404.0], [450.0, 411.0], [449.0, 439.0], [301.0, 432.0]], ('TON HERLOOM', 0.8551129698753357)], [[[457.0, 410.0], [643.0, 418.0], [641.0, 446.0], [456.0, 439.0]], ('085178100538F', 0.9473171234130859)], [[[700.0, 402.0], [797.0, 402.0], [797.0, 426.0], [700.0, 426.0]], ('5.00', 0.9896219372749329)], [[[299.0, 428.0], [638.0, 437.0], [637.0, 467.0], [299.0, 458.0]], ('GRN CHIL SCE 004161200733F', 0.9411242008209229)], [[[704.0, 422.0], [795.0, 422.0], [795.0, 452.0], [704.0, 452.0]], ('3.24N', 0.9549627304077148)], [[[300.0, 449.0], [636.0, 461.0], [635.0, 491.0], [299.0, 480.0]], ('ENER6Y P0MBY 005100019624F', 0.8916394114494324)], [[[705.0, 441.0], [798.0, 446.0], [796.0, 476.0], [704.0, 471.0]], ('2.48', 0.8370500802993774)], [[[706.0, 462.0], [809.0, 470.0], [807.0, 501.0], [703.0, 493.0]], ('86E', 0.5431866645812988)], [[[300.0, 473.0], [448.0, 478.0], [447.0, 509.0], [299.0, 504.0]], ('BATH TISSUE', 0.9672864675521851)], [[[459.0, 478.0], [616.0, 485.0], [615.0, 515.0], [458.0, 508.0]], ('003600038571', 0.9886682629585266)], [[[297.0, 497.0], [612.0, 509.0], [610.0, 537.0], [296.0, 526.0]], ('SD T86EL41002570070885', 0.9172866344451904)], [[[704.0, 491.0], [808.0, 491.0], [808.0, 522.0], [704.0, 522.0]], ('6.97', 0.9817488789558411)], [[[295.0, 521.0], [609.0, 530.0], [608.0, 559.0], [294.0, 549.0]], ('HALIBU PINAP 008954046313', 0.9488906860351562)], [[[706.0, 513.0], [788.0, 513.0], [788.0, 543.0], [706.0, 543.0]], ('9.97.x', 0.8799322247505188)], [[[703.0, 530.0], [807.0, 535.0], [805.0, 568.0], [701.0, 562.0]], ('9.97-1', 0.8749642372131348)], [[[297.0, 543.0], [631.0, 552.0], [631.0, 583.0], [296.0, 573.0]], ('AZ GREEN TEA 061300871585F', 0.9353249073028564)], [[[703.0, 556.0], [787.0, 561.0], [785.0, 592.0], [701.0, 586.0]], ('06', 0.6921458840370178)], [[[297.0, 567.0], [611.0, 576.0], [611.0, 607.0], [296.0, 597.0]], ('HIC AHB BEER 001820010986', 0.9037655591964722)], [[[300.0, 588.0], [428.0, 596.0], [426.0, 626.0], [298.0, 619.0]], ('CARGO JEAN', 0.9170778393745422)], [[[457.0, 593.0], [614.0, 600.0], [612.0, 631.0], [456.0, 623.0]], ('004032608678', 0.9590720534324646)], [[[704.0, 585.0], [788.0, 585.0], [788.0, 608.0], [704.0, 608.0]], ('6.64', 0.9535442590713501)], [[[701.0, 601.0], [809.0, 607.0], [808.0, 637.0], [699.0, 632.0]], ('8.96', 0.9775481224060059)], [[[299.0, 619.0], [363.0, 619.0], [363.0, 643.0], [299.0, 643.0]], ('SOCKS', 0.9931179285049438)], [[[457.0, 617.0], [614.0, 622.0], [613.0, 652.0], [456.0, 647.0]], ('000082815479', 0.9444966316223145)], [[[293.0, 636.0], [605.0, 646.0], [604.0, 676.0], [292.0, 667.0]], ('COHP0SITE AU 003087833216', 0.9292646646499634)], [[[702.0, 628.0], [786.0, 628.0], [786.0, 658.0], [702.0, 658.0]], ('1.07', 0.9229084849357605)], [[[703.0, 647.0], [809.0, 652.0], [807.0, 685.0], [701.0, 680.0]], ('7.96', 0.9061476588249207)], [[[295.0, 663.0], [607.0, 667.0], [606.0, 698.0], [294.0, 693.0]], ('SCRN PR0TCTR 004385961829', 0.9314691424369812)], [[[700.0, 671.0], [808.0, 671.0], [808.0, 702.0], [700.0, 702.0]], ('5.96.0X', 0.8598771691322327)], [[[297.0, 691.0], [447.0, 691.0], [447.0, 715.0], [297.0, 715.0]], ('BABY SO NEU', 0.8654897809028625)], [[[452.0, 689.0], [649.0, 693.0], [648.0, 722.0], [451.0, 717.0]], ('07467751728937', 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"item_name": "BATHTISSUE", "item_value": "6.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SBTBGEL41", "item_value": "9.97", "item_quantity": "1"}, {"item_key": "", "item_name": "MALIBUPINAP", "item_value": "9.97", "item_quantity": "1"}, {"item_key": "", "item_name": "AZGREENTEA", "item_value": "3.98", "item_quantity": "1"}, {"item_key": "", "item_name": "HICAMBBEER", "item_value": "6.64", "item_quantity": "1"}, {"item_key": "", "item_name": "CARGOJEAN", "item_value": "8.96", "item_quantity": "1"}, {"item_key": "", "item_name": "SOCKS", "item_value": "1.87", "item_quantity": "1"}, {"item_key": "", "item_name": "COHPOSITEAV", "item_value": "7.96", "item_quantity": "1"}, {"item_key": "", "item_name": "SCRNPROTCTR", "item_value": "5.96", "item_quantity": "1"}, {"item_key": "", "item_name": "BABYSONEW", "item_value": "12.77", "item_quantity": "1"}, {"item_key": "", "item_name": "LOOPSWEAVE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WL12MMLOCK", "item_value": "12.96", "item_quantity": "1"}, {"item_key": "", "item_name": "ARMHOOP", "item_value": "9.97", "item_quantity": "1"}, {"item_key": "", "item_name": "ARMCHAIRS", "item_value": "6.88", "item_quantity": "1"}, {"item_key": "", "item_name": "TACKLEBOX", "item_value": "19.96", "item_quantity": "1"}, {"item_key": "", "item_name": "THRASH", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PENETRANT", "item_value": "3.97", "item_quantity": "1"}, {"item_key": "", "item_name": "2PKLUGGAGE", "item_value": "5.97", "item_quantity": "1"}, {"item_key": "", "item_name": "PATCHPRIMER", "item_value": "5.47", "item_quantity": "1"}, {"item_key": "", "item_name": "KTCHNFAUCET", "item_value": "39.97", "item_quantity": "1"}, {"item_key": "", "item_name": "WALLPLATE", "item_value": "4.97", "item_quantity": "1"}, {"item_key": "", "item_name": "SOLARLIGHT", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "ALADSWWV", "item_value": "4.96", "item_quantity": "1"}, {"item_key": "", "item_name": "BEDDING", "item_value": "5.32", "item_quantity": "1"}, {"item_key": "", "item_name": "DOGFOOD", "item_value": "26.98", "item_quantity": "1"}, {"item_key": "", "item_name": "CCIN6.3LB", "item_value": "7.08", "item_quantity": "1"}, {"item_key": "", "item_name": "AVNBBYSCRM", "item_value": "6.24", "item_quantity": "1"}, {"item_key": "", "item_name": "KTXSPTHP18", "item_value": "2.86", "item_quantity": "1"}, {"item_key": "", "item_name": "HYDSILK1UPRZ", "item_value": "4.50", "item_quantity": "1"}, {"item_key": "", "item_name": "371401388166", "item_value": "6.97", "item_quantity": "1"}, {"item_key": "", "item_name": "ALIGN28CT", "item_value": "26.58", "item_quantity": "1"}, {"item_key": "", "item_name": "SINUSBUSTER", "item_value": "11.87", "item_quantity": "1"}, {"item_key": "", "item_name": "RYHSIZEMAT", "item_value": "14.97", "item_quantity": "1"}, {"item_key": "", "item_name": "NT8NATPFC", "item_value": "6.97", "item_quantity": "1"}, {"item_key": "", "item_name": "FOUNDATION", "item_value": "11.47", "item_quantity": "1"}, {"item_key": "", "item_name": "CURVE", "item_value": "10.97", "item_quantity": "1"}, {"item_key": "", "item_name": "JEWELRY", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JEWLRYBATH", "item_value": "14.88", "item_quantity": "1"}, {"item_key": "", "item_name": "CUP90ZPPR", "item_value": "1.42", "item_quantity": "1"}, {"item_key": "", "item_name": "GLUESPOTS", "item_value": "4.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LUBGAGE", "item_value": "89.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PHOTOFRAME", "item_value": "16.96", "item_quantity": "1"}, {"item_key": "", "item_name": "CANDLEHOLDER", "item_value": "9.87", "item_quantity": "1"}, {"item_key": "", "item_name": "FORLIGHTING", "item_value": "7.97", "item_quantity": "1"}, {"item_key": "", "item_name": "KITCHENCART", "item_value": "39.86", "item_quantity": "1"}, {"item_key": "", "item_name": "SOFA", "item_value": "279.00", "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	[[[[119.0, 0.0], [331.0, 5.0], [330.0, 22.0], [118.0, 13.0]], ('aurant KEUNG KEE', 0.8452273011207581)], [[[99.0, 25.0], [300.0, 36.0], [299.0, 55.0], [98.0, 43.0]], ('70 La Gauchetiere Ouest,2etage', 0.9461024403572083)], [[[150.0, 46.0], [254.0, 52.0], [254.0, 69.0], [149.0, 63.0]], ('Montreal,Quebec', 0.9457224607467651)], [[[150.0, 63.0], [245.0, 68.0], [245.0, 85.0], [149.0, 80.0]], ('Canada H2Z 1C1', 0.9428219199180603)], [[[144.0, 79.0], [258.0, 85.0], [258.0, 102.0], [143.0, 96.0]], ('Tel514393-1668', 0.9758243560791016)], [[[92.0, 112.0], [287.0, 121.0], [286.0, 145.0], [91.0, 136.0]], ('Invoice:25117-1', 0.975612998008728)], [[[130.0, 139.0], [236.0, 143.0], [235.0, 170.0], [129.0, 166.0]], ('Table:23', 0.9389059543609619)], [[[62.0, 160.0], [248.0, 169.0], [248.0, 186.0], [61.0, 178.0]], ('2018-02-15 14:33:37 14:33:09', 0.9413822889328003)], [[[64.0, 196.0], [247.0, 202.0], [247.0, 216.0], [63.0, 210.0]], ('18.Soupe aux estomac de porc', 0.9516330361366272)], [[[287.0, 200.0], [331.0, 202.0], [330.0, 220.0], [286.0, 218.0]], ('$10.95', 0.991771399974823)], [[[63.0, 212.0], [264.0, 218.0], [264.0, 232.0], [62.0, 226.0]], ('130.Filet de Boeuf en Cube Frit', 0.9280663132667542)], [[[63.0, 228.0], [258.0, 233.0], [258.0, 248.0], [62.0, 243.0]], ('176.Tofu Avec Porc Hache Epice', 0.9568442106246948)], [[[288.0, 219.0], [329.0, 219.0], [329.0, 234.0], [288.0, 234.0]], ('$12.95', 0.9934367537498474)], [[[59.0, 243.0], [220.0, 246.0], [220.0, 263.0], [59.0, 260.0]], ('39.Bass vert a la Vapeur', 0.9363217353820801)], [[[287.0, 235.0], [329.0, 235.0], [329.0, 250.0], [287.0, 250.0]], ('$10.95', 0.9971296191215515)], [[[286.0, 247.0], [330.0, 249.0], [329.0, 268.0], [285.0, 265.0]], ('$36.95', 0.9915854334831238)], [[[60.0, 260.0], [217.0, 262.0], [217.0, 277.0], [60.0, 275.0]], ('262.Riz a la Vapeur M', 0.9267550110816956)], [[[291.0, 264.0], [331.0, 267.0], [330.0, 284.0], [290.0, 281.0]], ('$4.50', 0.9917219877243042)], [[[60.0, 291.0], [120.0, 293.0], [119.0, 310.0], [59.0, 307.0]], ('SUB-TOTAL', 0.9942275285720825)], [[[285.0, 297.0], [326.0, 297.0], [326.0, 312.0], [285.0, 312.0]], ('$76.30', 0.9959554672241211)], [[[58.0, 307.0], [198.0, 308.0], [198.0, 325.0], [58.0, 324.0]], ('TPS 824373609RT0001)', 0.9454963803291321)], [[[289.0, 312.0], [325.0, 312.0], [325.0, 327.0], [289.0, 327.0]], ('$3.82', 0.9859980344772339)], [[[58.0, 323.0], [202.0, 326.0], [202.0, 343.0], [58.0, 340.0]], ('TVQ(1217436237TQ0001)', 0.9546797871589661)], [[[289.0, 327.0], [322.0, 327.0], [322.0, 342.0], [289.0, 342.0]], ('$7.61', 0.9950604438781738)], [[[59.0, 342.0], [124.0, 342.0], [124.0, 359.0], [59.0, 359.0]], ('TOTAL', 0.9985916018486023)], [[[241.0, 343.0], [316.0, 343.0], [316.0, 357.0], [241.0, 357.0]], ('$87.73', 0.9875771403312683)], [[[123.0, 373.0], [259.0, 373.0], [259.0, 387.0], [123.0, 387.0]], ('Merci de votre visite', 0.9565274119377136)], [[[94.0, 388.0], [277.0, 386.0], [277.0, 403.0], [95.0, 405.0]], ('et au plaisir de vous servir', 0.9367405772209167)], [[[95.0, 421.0], [263.0, 417.0], [263.0, 441.0], [96.0, 445.0]], ('BONNE JOURNEE', 0.972443163394928)]]	{"store_name": "", "store_addr": "CanadaH2Z1C1", "telephone": "(514)393-1668", "date": "2018-02-15", "time": "14:33:37", "subtotal": "$76.30", "tax": "$3.82 $7.61", "total": "$87.73", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "18.Soupeauxestomacdeporc", "item_value": "$10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "130.FiletdeBoeufenCubeFrit", "item_value": "$12.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "$36.95", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[278.0, 76.0], [423.0, 90.0], [420.0, 115.0], [275.0, 101.0]], ('BLEND CAFE', 0.9582445025444031)], [[[259.0, 97.0], [442.0, 113.0], [439.0, 139.0], [257.0, 123.0]], ('745 RESERVOIR AVE', 0.941379189491272)], [[[254.0, 118.0], [448.0, 134.0], [446.0, 159.0], [252.0, 143.0]], ('CRANSTON.RI02910', 0.922958254814148)], [[[295.0, 145.0], [409.0, 154.0], [407.0, 175.0], [294.0, 167.0]], ('4012705533', 0.9965190887451172)], [[[244.0, 198.0], [463.0, 213.0], [461.0, 249.0], [241.0, 234.0]], ('ORDER:Table 4', 0.9122269153594971)], [[[304.0, 242.0], [404.0, 247.0], [403.0, 278.0], [302.0, 272.0]], ('Dine In', 0.9264702796936035)], [[[136.0, 256.0], [279.0, 268.0], [276.0, 293.0], [134.0, 281.0]], ('Cashier:Santa', 0.9650658369064331)], [[[134.0, 277.0], [351.0, 299.0], [349.0, 324.0], [131.0, 302.0]], ('06-Feb-2016813:49P', 0.9557068943977356)], [[[132.0, 332.0], [142.0, 332.0], [142.0, 346.0], [132.0, 346.0]], ('7', 0.7446902990341187)], [[[170.0, 329.0], [383.0, 345.0], [381.0, 370.0], [168.0, 354.0]], ('Crab Cake &Calamari', 0.9700013399124146)], [[[499.0, 345.0], [566.0, 347.0], [565.0, 369.0], [498.0, 366.0]], ('$14.00', 0.9900386333465576)], [[[325.0, 370.0], [567.0, 370.0], [567.0, 391.0], [325.0, 391.0]], ('Appetizer,Serve 1st $0.00', 0.9429097175598145)], [[[128.0, 405.0], [138.0, 405.0], [138.0, 421.0], [128.0, 421.0]], ('1', 0.8253278136253357)], [[[168.0, 403.0], [361.0, 414.0], [359.0, 439.0], [167.0, 428.0]], ('Sweet Platains And', 0.9771549701690674)], [[[516.0, 412.0], [574.0, 415.0], [572.0, 438.0], [515.0, 435.0]], ('$8.00', 0.9987956881523132)], [[[168.0, 428.0], [372.0, 439.0], [371.0, 464.0], [167.0, 453.0]], ('Walnuts Tres Leches', 0.9787297248840332)], [[[123.0, 451.0], [207.0, 457.0], [205.0, 480.0], [121.0, 473.0]], ('Guest1', 0.9935650825500488)], [[[120.0, 478.0], [137.0, 478.0], [137.0, 500.0], [120.0, 500.0]], ('7', 0.5520827770233154)], [[[163.0, 479.0], [336.0, 490.0], [334.0, 515.0], [161.0, 504.0]], ('Mofongo Shrimp', 0.9751963019371033)], [[[509.0, 486.0], [578.0, 486.0], [578.0, 508.0], [509.0, 508.0]], ('$18.00', 0.9981799125671387)], [[[118.0, 504.0], [135.0, 504.0], [135.0, 526.0], [118.0, 526.0]], ('7', 0.5415200591087341)], [[[163.0, 506.0], [226.0, 511.0], [224.0, 534.0], [161.0, 529.0]], ('Water', 0.9981101751327515)], [[[522.0, 511.0], [581.0, 511.0], [581.0, 534.0], [522.0, 534.0]], ('$0.00', 0.9971691370010376)], [[[118.0, 531.0], [205.0, 535.0], [204.0, 558.0], [117.0, 554.0]], ('Guest2', 0.9903181195259094)], [[[115.0, 559.0], [132.0, 559.0], [132.0, 583.0], [115.0, 583.0]], ('1', 0.685319185256958)], [[[159.0, 560.0], [285.0, 565.0], [284.0, 591.0], [158.0, 586.0]], ('red snapper', 0.969071626663208)], [[[515.0, 561.0], [585.0, 561.0], [585.0, 583.0], [515.0, 583.0]], ('$16.00', 0.9967029094696045)], [[[114.0, 588.0], [131.0, 588.0], [131.0, 610.0], [114.0, 610.0]], ('1', 0.7472196221351624)], [[[159.0, 587.0], [223.0, 591.0], [222.0, 615.0], [157.0, 611.0]], ('Water', 0.9976552724838257)], [[[527.0, 588.0], [588.0, 588.0], [588.0, 610.0], [527.0, 610.0]], ('$0.00', 0.998210608959198)], [[[112.0, 646.0], [209.0, 646.0], [209.0, 668.0], [112.0, 668.0]], ('Subtotal', 0.997740626335144)], [[[520.0, 640.0], [591.0, 640.0], [591.0, 662.0], [520.0, 662.0]], ('$56.00', 0.9971683025360107)], [[[110.0, 674.0], [152.0, 674.0], [152.0, 699.0], [110.0, 699.0]], ('Tax', 0.9806613922119141)], [[[533.0, 666.0], [596.0, 666.0], [596.0, 692.0], [533.0, 692.0]], ('$4.48', 0.9982333183288574)], [[[105.0, 730.0], [166.0, 730.0], [166.0, 757.0], [105.0, 757.0]], ('Total', 0.9988306164741516)], [[[524.0, 721.0], [601.0, 721.0], [601.0, 748.0], [524.0, 748.0]], ('$60.48', 0.9973583221435547)], [[[103.0, 795.0], [378.0, 786.0], [378.0, 808.0], [104.0, 817.0]], ('Order 8NWCBZQCRCE4G', 0.9635945558547974)], [[[99.0, 840.0], [315.0, 833.0], [316.0, 859.0], [100.0, 866.0]], ('Please Come again', 0.9682193994522095)], [[[254.0, 958.0], [465.0, 949.0], [466.0, 971.0], [255.0, 979.0]], ('8NWCBZQCRCE4G', 0.9928191304206848)]]	{"store_name": "BLENDCAFE", "store_addr": "745RESERVOIRAVE CRANSTON,RI02910", "telephone": "4012705533", "date": "06-Feb-2016", "time": "8:13:49P", "subtotal": "$56.00", "tax": "$4.48", "total": "$60.48", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CrabCake&Calamari", "item_value": "$14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SweetPlatainsAnd", "item_value": "$8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WalnutsTresLeches", "item_value": "$18.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MofongoShrimp", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Water", "item_value": "$16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "redsnapper", "item_value": "$0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Water", "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	[[[[102.0, 53.0], [221.0, 47.0], [222.0, 68.0], [103.0, 74.0]], ('RISTORANTE ALLA BUONA', 0.9784060716629028)], [[[117.0, 70.0], [216.0, 66.0], [216.0, 81.0], [118.0, 86.0]], ('di Rossi Stefano', 0.9353952407836914)], [[[114.0, 83.0], [220.0, 78.0], [221.0, 94.0], [115.0, 100.0]], ('1.mare C.Tintori 11', 0.9377281069755554)], [[[135.0, 95.0], [199.0, 92.0], [200.0, 107.0], [136.0, 110.0]], ('47921Rimint', 0.9304878115653992)], [[[119.0, 110.0], [218.0, 105.0], [218.0, 119.0], [119.0, 124.0]], ('p.1va.04067040404', 0.9802701473236084)], [[[120.0, 122.0], [218.0, 118.0], [218.0, 133.0], [120.0, 137.0]], ('by Bar Pattinaggio', 0.954264223575592)], [[[275.0, 141.0], [301.0, 141.0], [301.0, 156.0], [275.0, 156.0]], ('EURO', 0.9796203374862671)], [[[41.0, 161.0], [138.0, 160.0], [138.0, 174.0], [41.0, 175.0]], ('INSALATA CONTADINA', 0.9750893115997314)], [[[275.0, 155.0], [301.0, 155.0], [301.0, 170.0], [275.0, 170.0]], ("00'8", 0.8884069323539734)], [[[40.0, 174.0], [139.0, 173.0], [139.0, 187.0], [40.0, 188.0]], ('INSALATA CONTADINA', 0.9729225635528564)], [[[276.0, 168.0], [302.0, 168.0], [302.0, 183.0], [276.0, 183.0]], ('8,00', 0.9507150650024414)], [[[274.0, 181.0], [301.0, 178.0], [303.0, 194.0], [276.0, 197.0]], ('0,50', 0.9149274826049805)], [[[40.0, 201.0], [124.0, 201.0], [124.0, 215.0], [40.0, 215.0]], ('ACQUA VETRO NAT', 0.9435908794403076)], [[[275.0, 196.0], [302.0, 193.0], [304.0, 208.0], [277.0, 211.0]], ('2,50', 0.923638105392456)], [[[41.0, 216.0], [71.0, 216.0], [71.0, 227.0], [41.0, 227.0]], ('CAFFE', 0.9299604296684265)], [[[278.0, 209.0], [304.0, 209.0], [304.0, 224.0], [278.0, 224.0]], ('1,00', 0.9775906801223755)], [[[39.0, 240.0], [105.0, 238.0], [106.0, 263.0], [40.0, 265.0]], ('TOTALE EURO', 0.9083738923072815)], [[[272.0, 236.0], [305.0, 236.0], [305.0, 260.0], [272.0, 260.0]], ('20,00', 0.9753414988517761)], [[[43.0, 263.0], [90.0, 263.0], [90.0, 274.0], [43.0, 274.0]], ('CONTANTI', 0.9954010248184204)], [[[275.0, 257.0], [305.0, 257.0], [305.0, 272.0], [275.0, 272.0]], ('20,00', 0.9274882078170776)], [[[42.0, 288.0], [105.0, 286.0], [106.0, 300.0], [43.0, 303.0]], ('#TAVOLO.9M', 0.9162871241569519)], [[[42.0, 300.0], [115.0, 299.0], [115.0, 313.0], [42.0, 314.0]], ('OPER.VERDE', 0.9667871594429016)], [[[75.0, 326.0], [185.0, 324.0], [185.0, 337.0], [75.0, 340.0]], ('ARRIVEDERCI E GRAZIE', 0.9585135579109192)], [[[44.0, 340.0], [86.0, 340.0], [86.0, 354.0], [44.0, 354.0]], ('NR.0029', 0.9517417550086975)], [[[224.0, 336.0], [307.0, 336.0], [307.0, 351.0], [224.0, 351.0]], ('12/07/1415:26', 0.9791627526283264)], [[[137.0, 363.0], [218.0, 363.0], [218.0, 377.0], [137.0, 377.0]], ('U172000976', 0.9842135310173035)], [[[109.0, 408.0], [246.0, 408.0], [246.0, 421.0], [109.0, 421.0]], ('GRAZIE E ARRIVEDERCI ', 0.9034788012504578)]]	{"store_name": "RISTORANTE\"ALLABUONA\"", "store_addr": "l.mareC.Tintori11 47921Rimini", "telephone": "", "date": "12/07/14", "time": "15:26", "subtotal": "", "tax": "", "total": "20.00 20.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "INSALATACONTADINA", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "INSALATACONTADINA", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "+OLIVEVERDI", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "ACOUAVETRONAI", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CAFFE", "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	[[[[117.0, 39.0], [225.0, 36.0], [226.0, 50.0], [117.0, 52.0]], ('Winfield ShoppingF)', 0.9240587949752808)], [[[115.0, 51.0], [229.0, 46.0], [230.0, 60.0], [115.0, 64.0]], ('966 Bosso Hi1 Road', 0.8190485835075378)], [[[119.0, 61.0], [226.0, 58.0], [227.0, 72.0], [120.0, 75.0]], ('San JoseCA 95123', 0.9338259696960449)], [[[136.0, 72.0], [211.0, 69.0], [212.0, 82.0], [137.0, 85.0]], ('403362-0202', 0.9833508133888245)], [[[85.0, 114.0], [262.0, 107.0], [262.0, 123.0], [85.0, 131.0]], ('Get cash tor your old gamessmar', 0.8897027373313904)], [[[86.0, 128.0], [259.0, 117.0], [260.0, 131.0], [87.0, 142.0]], ('phones,edia players and tabets', 0.9347556233406067)], [[[178.0, 140.0], [252.0, 137.0], [252.0, 151.0], [178.0, 153.0]], ('00698/02-022', 0.940415620803833)], [[[68.0, 155.0], [142.0, 153.0], [143.0, 167.0], [68.0, 169.0]], ('282393Anthony', 0.9441767930984497)], [[[236.0, 167.0], [262.0, 167.0], [262.0, 182.0], [236.0, 182.0]], ('19.99', 0.9708148241043091)], [[[70.0, 192.0], [184.0, 187.0], [185.0, 203.0], [71.0, 209.0]], ('HARRANTY NOT PURCHASED', 0.8688621520996094)], [[[170.0, 199.0], [209.0, 194.0], [211.0, 208.0], [172.0, 213.0]], ('SLETOTAL', 0.8344565629959106)], [[[151.0, 219.0], [184.0, 215.0], [185.0, 227.0], [152.0, 231.0]], ('8.750x', 0.878126323223114)], [[[183.0, 218.0], [212.0, 218.0], [212.0, 229.0], [183.0, 229.0]], ('State', 0.9836761355400085)], [[[188.0, 227.0], [212.0, 227.0], [212.0, 239.0], [188.0, 239.0]], ('TOTAL', 0.99742192029953)], [[[77.0, 238.0], [152.0, 236.0], [152.0, 246.0], [77.0, 248.0]], ('DEBII:XXXCY', 0.7005457282066345)], [[[186.0, 247.0], [212.0, 244.0], [213.0, 255.0], [187.0, 257.0]], ('HANDE', 0.9334891438484192)], [[[198.0, 306.0], [260.0, 306.0], [260.0, 320.0], [198.0, 320.0]], ('HIN THE NEXT', 0.9004020094871521)], [[[206.0, 316.0], [262.0, 316.0], [262.0, 330.0], [206.0, 330.0]], ('WIN ONE OF', 0.8996654748916626)], [[[263.0, 317.0], [272.0, 317.0], [272.0, 327.0], [263.0, 327.0]], ('25', 0.884125828742981)]]	{"store_name": "MinfieldShopping(F)", "store_addr": "966BiossomHillRoad SanJose.CA95123", "telephone": "(403)362-0202", "date": "08/22/13", "time": "14:28", "subtotal": "19.99 19.99", "tax": "1.75", "total": "21.74 21.74", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Kirby:SuperStarUltra<DS>", "item_value": "19.99", "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	[[[[73.0, 7.0], [194.0, 12.0], [194.0, 28.0], [73.0, 23.0]], ('Asador Soriano S.L.', 0.9494442939758301)], [[[50.0, 20.0], [215.0, 28.0], [215.0, 45.0], [49.0, 37.0]], ('36.613 Bembrive -Chans 25', 0.9378209710121155)], [[[87.0, 38.0], [187.0, 43.0], [186.0, 57.0], [86.0, 52.0]], ('Tf.986481373', 0.9766848087310791)], [[[76.0, 52.0], [191.0, 58.0], [191.0, 73.0], [76.0, 66.0]], ('C.I.F.B-36.779.312', 0.9537632465362549)], [[[21.0, 93.0], [125.0, 98.0], [124.0, 115.0], [20.0, 110.0]], ('27/dic/2016 CAO', 0.9498189091682434)], [[[21.0, 110.0], [126.0, 114.0], [125.0, 131.0], [21.0, 127.0]], ('Mesa18', 0.9951825141906738)], [[[170.0, 103.0], [220.0, 100.0], [221.0, 115.0], [170.0, 118.0]], ('Fra.FH/', 0.9677088856697083)], [[[234.0, 101.0], [261.0, 101.0], [261.0, 115.0], [234.0, 115.0]], ('7144', 0.9991821050643921)], [[[136.0, 113.0], [216.0, 116.0], [216.0, 133.0], [135.0, 130.0]], ('Cubiertos1', 0.9871523976325989)], [[[22.0, 139.0], [102.0, 142.0], [101.0, 159.0], [22.0, 157.0]], ('Cant. Plato', 0.9557790756225586)], [[[213.0, 143.0], [256.0, 143.0], [256.0, 158.0], [213.0, 158.0]], ('Importe', 0.9936941266059875)], [[[38.0, 173.0], [96.0, 173.0], [96.0, 187.0], [38.0, 187.0]], ('1.00 Cafe', 0.8927325010299683)], [[[235.0, 170.0], [262.0, 170.0], [262.0, 185.0], [235.0, 185.0]], ('1.20', 0.91219162940979)], [[[38.0, 187.0], [148.0, 187.0], [148.0, 200.0], [38.0, 200.0]], ('2.00 Canitas Crema', 0.9418577551841736)], [[[184.0, 184.0], [211.0, 184.0], [211.0, 200.0], [184.0, 200.0]], ('5.00', 0.9727475047111511)], [[[230.0, 184.0], [262.0, 184.0], [262.0, 198.0], [230.0, 198.0]], ('10.00', 0.9054562449455261)], [[[38.0, 201.0], [131.0, 200.0], [132.0, 214.0], [39.0, 215.0]], ('1.00 SAN MEIRAS', 0.9052140116691589)], [[[231.0, 197.0], [262.0, 195.0], [263.0, 210.0], [232.0, 212.0]], ('16,50', 0.8961274027824402)], [[[39.0, 217.0], [95.0, 217.0], [95.0, 228.0], [39.0, 228.0]], ('5.00 pan', 0.9039037823677063)], [[[186.0, 210.0], [214.0, 210.0], [214.0, 225.0], [186.0, 225.0]], ('1.10', 0.9034314155578613)], [[[237.0, 209.0], [265.0, 209.0], [265.0, 224.0], [237.0, 224.0]], ('5,50', 0.8758087158203125)], [[[37.0, 229.0], [126.0, 227.0], [126.0, 241.0], [38.0, 243.0]], ('1.00 Croquetas', 0.9330608248710632)], [[[234.0, 223.0], [267.0, 223.0], [267.0, 237.0], [234.0, 237.0]], ('10.00', 0.9087579846382141)], [[[37.0, 244.0], [138.0, 241.0], [138.0, 255.0], [38.0, 258.0]], ('1.00 Pulpo Feria', 0.917570948600769)], [[[236.0, 236.0], [268.0, 236.0], [268.0, 251.0], [236.0, 251.0]], ('13.40', 0.8973468542098999)], [[[36.0, 258.0], [162.0, 255.0], [162.0, 269.0], [37.0, 272.0]], ('3.00 Rodaballo salva', 0.9043706655502319)], [[[183.0, 253.0], [216.0, 253.0], [216.0, 267.0], [183.0, 267.0]], ('24.50', 0.8911601901054382)], [[[236.0, 251.0], [269.0, 251.0], [269.0, 265.0], [236.0, 265.0]], ('73.50', 0.9028621912002563)], [[[37.0, 273.0], [168.0, 269.0], [168.0, 284.0], [38.0, 288.0]], ('1.00 almejas mar inera', 0.922615110874176)], [[[237.0, 265.0], [270.0, 265.0], [270.0, 280.0], [237.0, 280.0]], ('17.50', 0.9256725311279297)], [[[37.0, 289.0], [163.0, 284.0], [163.0, 298.0], [38.0, 304.0]], ('1.00 Mer luza Plancha', 0.9370236992835999)], [[[239.0, 280.0], [271.0, 280.0], [271.0, 295.0], [239.0, 295.0]], ('19,60', 0.8953635096549988)], [[[244.0, 293.0], [273.0, 293.0], [273.0, 307.0], [244.0, 307.0]], ('2.70', 0.9460655450820923)], [[[36.0, 304.0], [138.0, 298.0], [139.0, 315.0], [37.0, 321.0]], ('1.00 sousas 1 L', 0.9207661747932434)], [[[186.0, 308.0], [222.0, 308.0], [222.0, 323.0], [186.0, 323.0]], ('17.90', 0.9146198034286499)], [[[241.0, 306.0], [280.0, 306.0], [280.0, 320.0], [241.0, 320.0]], ('35.80', 0.94758540391922)], [[[34.0, 320.0], [157.0, 313.0], [158.0, 327.0], [35.0, 334.0]], ('2.00-casal_de.arman', 0.8656851053237915)], [[[181.0, 336.0], [226.0, 332.0], [227.0, 349.0], [182.0, 353.0]], ('205.70', 0.9804412722587585)], [[[246.0, 331.0], [285.0, 328.0], [287.0, 346.0], [248.0, 349.0]], ('20.57', 0.9049314260482788)], [[[16.0, 345.0], [159.0, 339.0], [160.0, 356.0], [17.0, 362.0]], ('10.00 %I.V.A.Sobre', 0.9299012422561646)], [[[207.0, 364.0], [292.0, 357.0], [293.0, 375.0], [208.0, 382.0]], ('226,27', 0.9016242623329163)], [[[25.0, 374.0], [94.0, 374.0], [94.0, 391.0], [25.0, 391.0]], ('TOTAL', 0.998482346534729)]]	{"store_name": "AsadorSorianoS.L.", "store_addr": "36.613Bemabrive-Chans25", "telephone": "Tf.986481373", "date": "27/dic/2016", "time": "", "subtotal": "205,70", "tax": "20,57", "total": "226,27", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Cafe", "item_value": "1,20", "item_quantity": "1"}, {"item_key": "", "item_name": "CanitasCrema", "item_value": "10,00", "item_quantity": "1"}, {"item_key": "", "item_name": "SANMEIRAS", "item_value": "16,50", "item_quantity": "1"}, {"item_key": "", "item_name": "pan", "item_value": "5,50", "item_quantity": "1"}, {"item_key": "", "item_name": "Croquetas", "item_value": "10,00", "item_quantity": "1"}, {"item_key": "", "item_name": "PulpoFeria", "item_value": "13,40", "item_quantity": "1"}, {"item_key": "", "item_name": "Rodaballosalva", "item_value": "73,50", "item_quantity": "1"}, {"item_key": "", "item_name": "almejasmarinera", "item_value": "17,50", "item_quantity": "1"}, {"item_key": "", "item_name": "MerluzaPlancha", "item_value": "19,60", "item_quantity": "1"}, {"item_key": "", "item_name": "sousa1L", "item_value": "2,70", "item_quantity": "1"}, {"item_key": "", "item_name": "casaldearman", "item_value": "35,80", "item_quantity": "1"}, {"item_key": "Plato", "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	[[[[31.0, 44.0], [298.0, 40.0], [299.0, 95.0], [32.0, 99.0]], ('Walmart', 0.9745228886604309)], [[[35.0, 104.0], [295.0, 103.0], [295.0, 124.0], [35.0, 125.0]], ('Save money.Live better.', 0.9501556754112244)], [[[112.0, 149.0], [289.0, 147.0], [289.0, 164.0], [112.0, 166.0]], ('HANAGER IRENE BROWN', 0.9250451922416687)], [[[122.0, 166.0], [288.0, 166.0], [288.0, 183.0], [122.0, 183.0]], ('360532-7595', 0.9606142044067383)], [[[31.0, 185.0], [382.0, 183.0], [382.0, 200.0], [31.0, 202.0]], ('ST20370P 00003048TE18TR#05704', 0.9534770846366882)], [[[30.0, 203.0], [73.0, 203.0], [73.0, 221.0], [30.0, 221.0]], ('HALF', 0.9910095930099487)], [[[91.0, 203.0], [281.0, 202.0], [281.0, 219.0], [91.0, 220.0]], ('HALF060538818716F', 0.9880471229553223)], [[[325.0, 202.0], [383.0, 202.0], [383.0, 220.0], [325.0, 220.0]], ('1.680', 0.9913830757141113)], [[[30.0, 222.0], [78.0, 222.0], [78.0, 240.0], [30.0, 240.0]], ('HALF', 0.9870423674583435)], [[[90.0, 222.0], [281.0, 222.0], [281.0, 239.0], [90.0, 239.0]], ('HALF060538818716F', 0.9874643683433533)], [[[326.0, 220.0], [384.0, 220.0], [384.0, 238.0], [326.0, 238.0]], ('1.680', 0.9902127981185913)], [[[32.0, 241.0], [282.0, 241.0], [282.0, 257.0], [32.0, 257.0]], ('GU BRWN RICE 007874212222F', 0.9144780039787292)], [[[326.0, 239.0], [384.0, 239.0], [384.0, 256.0], [326.0, 256.0]], ('0.76N', 0.9445219039916992)], [[[31.0, 258.0], [281.0, 257.0], [281.0, 274.0], [31.0, 275.0]], ('GUL0NG RICE 007874235205F', 0.9226953387260437)], [[[326.0, 257.0], [384.0, 257.0], [384.0, 275.0], [326.0, 275.0]], ('1.28N', 0.9444149732589722)], [[[32.0, 277.0], [278.0, 277.0], [278.0, 291.0], [32.0, 291.0]], ('6U2REMLK007874235187F', 0.9313165545463562)], [[[326.0, 275.0], [384.0, 275.0], [384.0, 293.0], [326.0, 293.0]], ('3.080', 0.9932540655136108)], [[[31.0, 295.0], [281.0, 294.0], [281.0, 310.0], [31.0, 311.0]], ('RAMEN-BEEF12 004178900232 F', 0.9460169672966003)], [[[326.0, 294.0], [384.0, 294.0], [384.0, 310.0], [326.0, 310.0]], ('1.820', 0.9941097497940063)], [[[196.0, 312.0], [273.0, 312.0], [273.0, 329.0], [196.0, 329.0]], ('SUBTOTAL', 0.9960488677024841)], [[[318.0, 311.0], [365.0, 311.0], [365.0, 329.0], [318.0, 329.0]], ('10.30', 0.9977094531059265)], [[[226.0, 331.0], [270.0, 331.0], [270.0, 346.0], [226.0, 346.0]], ('TOTAL', 0.9981252551078796)], [[[318.0, 329.0], [365.0, 329.0], [365.0, 347.0], [318.0, 347.0]], ('10.30', 0.9963016510009766)], [[[105.0, 348.0], [272.0, 347.0], [272.0, 364.0], [105.0, 365.0]], ('SHOPPING CARD TEND', 0.9664841890335083)], [[[318.0, 347.0], [365.0, 347.0], [365.0, 365.0], [318.0, 365.0]], ('10.00', 0.9976614713668823)], [[[179.0, 366.0], [272.0, 366.0], [272.0, 383.0], [179.0, 383.0]], ('CASH TEND', 0.9392674565315247)], [[[325.0, 365.0], [366.0, 365.0], [366.0, 383.0], [325.0, 383.0]], ('0.50', 0.9984451532363892)], [[[178.0, 384.0], [272.0, 383.0], [272.0, 401.0], [178.0, 402.0]], ('CHANGE DUE', 0.9472497701644897)], [[[326.0, 384.0], [366.0, 384.0], [366.0, 402.0], [326.0, 402.0]], ('0.20', 0.9972664713859558)], [[[32.0, 421.0], [216.0, 421.0], [216.0, 438.0], [32.0, 438.0]], ('SHOP.CARD REDEMPTION', 0.9788891077041626)], [[[289.0, 419.0], [338.0, 419.0], [338.0, 438.0], [289.0, 438.0]], ('10.00', 0.9987193942070007)], [[[30.0, 440.0], [217.0, 439.0], [217.0, 456.0], [30.0, 457.0]], ('ACC0UNT 605214515600', 0.9702345728874207)], [[[31.0, 457.0], [207.0, 456.0], [207.0, 473.0], [31.0, 474.0]], ('APPR.C0DE=037453', 0.9007847309112549)], [[[31.0, 475.0], [144.0, 474.0], [144.0, 492.0], [31.0, 493.0]], ('REF #0571931', 0.9477410316467285)], [[[32.0, 494.0], [193.0, 494.0], [193.0, 511.0], [32.0, 511.0]], ('Beg Bal Tran Amt', 0.9129596948623657)], [[[217.0, 492.0], [282.0, 492.0], [282.0, 510.0], [217.0, 510.0]], ('End Bal', 0.9378513693809509)], [[[59.0, 512.0], [108.0, 512.0], [108.0, 529.0], [59.0, 529.0]], ('10.00', 0.9987756013870239)], [[[152.0, 512.0], [201.0, 512.0], [201.0, 529.0], [152.0, 529.0]], ('10.00', 0.998310923576355)], [[[242.0, 511.0], [283.0, 511.0], [283.0, 528.0], [242.0, 528.0]], ('0.00', 0.9989915490150452)], [[[32.0, 530.0], [108.0, 530.0], [108.0, 548.0], [32.0, 548.0]], ('10/14/10', 0.9966635704040527)], [[[143.0, 529.0], [218.0, 529.0], [218.0, 547.0], [143.0, 547.0]], ('21:20:50', 0.9458239674568176)], [[[68.0, 585.0], [324.0, 585.0], [324.0, 612.0], [68.0, 612.0]], ('#ITEMS SOLD6', 0.9583147168159485)], [[[69.0, 630.0], [328.0, 629.0], [328.0, 645.0], [69.0, 646.0]], ('TC#5803 0268 190822336122', 0.9364869594573975)], [[[67.0, 718.0], [365.0, 718.0], [365.0, 735.0], [67.0, 735.0]], ('Washington E-Cycles:Free Recycling', 0.9689022302627563)], [[[75.0, 739.0], [354.0, 738.0], [354.0, 755.0], [75.0, 756.0]], ("For Computers,Monitors,and TV's", 0.936940610408783)], [[[40.0, 761.0], [395.0, 757.0], [395.0, 774.0], [40.0, 778.0]], ('www.ecyclewashington.org 1-800-RECYCLE', 0.9754416942596436)], [[[72.0, 797.0], [346.0, 797.0], [346.0, 813.0], [72.0, 813.0]], ('THANK YOU FOR SHOPPING WITH US', 0.9414539337158203)], [[[108.0, 815.0], [183.0, 815.0], [183.0, 832.0], [108.0, 832.0]], ('10/14/10', 0.9980578422546387)], [[[226.0, 814.0], [303.0, 814.0], [303.0, 832.0], [226.0, 832.0]], ('21:20:58', 0.9142633676528931)]]	{"store_name": "Walmart", "store_addr": "", "telephone": "(360)532-7595", "date": "10/14/10 10/14/10", "time": "21:20:58", "subtotal": "10.30", "tax": "", "total": "10.30", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "HALFHALF", "item_value": "1.68", "item_quantity": "1"}, {"item_key": "", "item_name": "HALFHALF", "item_value": "1.68", "item_quantity": "1"}, {"item_key": "", "item_name": "GVBRWNRICE", "item_value": "0.76", "item_quantity": "1"}, {"item_key": "", "item_name": "GVLONGRICE", "item_value": "1.28", "item_quantity": "1"}, {"item_key": "", "item_name": "GV2RFMLK", "item_value": "3.08", "item_quantity": "1"}, {"item_key": "", "item_name": "RAMEN-BEEF12", "item_value": "1.82", "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', 0.9503750801086426)], [[[105.0, 49.0], [178.0, 49.0], [178.0, 64.0], [105.0, 64.0]], ('BAKERY', 0.9964095950126648)], [[[22.0, 74.0], [101.0, 76.0], [101.0, 94.0], [22.0, 92.0]], ('7001 Marlina', 0.9529178142547607)], [[[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', 0.9492390751838684)], [[[28.0, 152.0], [143.0, 152.0], [143.0, 167.0], [28.0, 167.0]], ('1 Four Mini Select', 0.9446409940719604)], [[[221.0, 151.0], [251.0, 151.0], [251.0, 168.0], [221.0, 168.0]], ('2.40', 0.9912034869194031)], [[[39.0, 169.0], [69.0, 169.0], [69.0, 184.0], [39.0, 184.0]], ('Cash', 0.9972577691078186)], [[[223.0, 168.0], [252.0, 168.0], [252.0, 183.0], [223.0, 183.0]], ('4.00', 0.9909694194793701)], [[[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', 0.993314266204834)], [[[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', 0.989068329334259)], [[[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', 0.9860616326332092)], [[[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', 0.9840261936187744)], [[[36.0, 297.0], [249.0, 294.0], [249.0, 311.0], [37.0, 315.0]], ('313 Somerset,313 Orchard Road', 0.9314526915550232)], [[[37.0, 315.0], [236.0, 312.0], [237.0, 327.0], [38.0, 329.0]], ('Provisiona1 Unit No. #B1-39-46', 0.9257646799087524)], [[[36.0, 331.0], [147.0, 329.0], [147.0, 347.0], [37.0, 349.0]], ('Singapore 238895', 0.9642404317855835)], [[[38.0, 349.0], [211.0, 347.0], [212.0, 361.0], [39.0, 364.0]], ('www.marche-restaurants.com', 0.9920446872711182)], [[[177.0, 383.0], [298.0, 383.0], [298.0, 398.0], [177.0, 398.0]], ('alwaysfood.blogspot.com', 0.9919233918190002)]]	{"store_name": "Marche@Somerset BAKERY MarcheRestaurants", "store_addr": "313@Somerset,313OrchardRoad ProvisionalUnitNo.#B1-39-46 Singapore238895", "telephone": "", "date": "08Dec'", "time": "0908:04", "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	[[[[51.0, 8.0], [102.0, 8.0], [102.0, 21.0], [51.0, 21.0]], ('PUMP6', 0.9672005772590637)], [[[50.0, 19.0], [121.0, 16.0], [121.0, 33.0], [50.0, 35.0]], ('V-Power CR', 0.9505816698074341)], [[[136.0, 19.0], [184.0, 16.0], [185.0, 30.0], [136.0, 32.0]], ('16.631G', 0.9525183439254761)], [[[51.0, 32.0], [112.0, 32.0], [112.0, 43.0], [51.0, 43.0]], ('PRICE/GAL', 0.9957207441329956)], [[[148.0, 31.0], [184.0, 27.0], [186.0, 42.0], [149.0, 45.0]], ('4.119', 0.9964340329170227)], [[[49.0, 43.0], [132.0, 42.0], [132.0, 56.0], [49.0, 57.0]], ('FUEL TOTAL', 0.9543461799621582)], [[[148.0, 42.0], [186.0, 40.0], [187.0, 54.0], [149.0, 57.0]], ('68.50', 0.9941852688789368)], [[[50.0, 68.0], [94.0, 68.0], [94.0, 82.0], [50.0, 82.0]], ('CREDIT', 0.996522843837738)], [[[130.0, 65.0], [189.0, 65.0], [189.0, 82.0], [130.0, 82.0]], ('$68.50', 0.9163134098052979)], [[[56.0, 106.0], [187.0, 105.0], [188.0, 119.0], [56.0, 120.0]], ('Thr 05/31/15-Jain FRars and', 0.72097247838974)], [[[57.0, 120.0], [182.0, 119.0], [182.0, 136.0], [57.0, 137.0]], ('cai0.25/galsigpbons', 0.6575989127159119)], [[[48.0, 148.0], [194.0, 144.0], [194.0, 160.0], [48.0, 163.0]], ("It'sFr.For dts-fua.", 0.7263402938842773)], [[[64.0, 162.0], [178.0, 158.0], [179.0, 175.0], [65.0, 179.0]], ('7 taxtJin t FEL 83335', 0.6425583958625793)], [[[105.0, 189.0], [144.0, 189.0], [144.0, 204.0], [105.0, 204.0]], ('Thank You', 0.8331291675567627)], [[[91.0, 204.0], [159.0, 204.0], [159.0, 221.0], [91.0, 221.0]], ('Pleese Cona Again', 0.8022193312644958)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "$68.50 $68.50", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "V-PowerCR", "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	[[[[258.0, 202.0], [637.0, 226.0], [636.0, 251.0], [257.0, 227.0]], ('KMART TUGGERANONG WWW.KMART.COM.AU', 0.9494128227233887)], [[[280.0, 237.0], [613.0, 258.0], [612.0, 282.0], [279.0, 261.0]], ('TAX INVOICE ABN 73 004 700 485', 0.8856312036514282)], [[[354.0, 381.0], [476.0, 388.0], [475.0, 409.0], [353.0, 402.0]], ('IRRESISTIBLY', 0.9957439303398132)], [[[353.0, 405.0], [476.0, 413.0], [474.0, 434.0], [352.0, 426.0]], ('LOW PRICES.', 0.9393304586410522)], [[[353.0, 432.0], [472.0, 438.0], [471.0, 459.0], [352.0, 453.0]], ('EVERYTHING.', 0.9579372406005859)], [[[361.0, 457.0], [460.0, 462.0], [459.0, 485.0], [360.0, 479.0]], ('EVERYDAY', 0.9911350011825562)], [[[237.0, 561.0], [608.0, 579.0], [607.0, 603.0], [236.0, 585.0]], ('MANAGER:SAMANTHA PH:0261317200', 0.9301202893257141)], [[[213.0, 594.0], [497.0, 606.0], [496.0, 630.0], [212.0, 618.0]], ('19/07/17 16:10081SALES', 0.9539397954940796)], [[[572.0, 608.0], [714.0, 615.0], [712.0, 642.0], [571.0, 635.0]], ('5533 1129 081', 0.9278134703636169)], [[[169.0, 649.0], [347.0, 667.0], [345.0, 694.0], [166.0, 676.0]], ('%PAPER CARRY BAG', 0.9373737573623657)], [[[403.0, 668.0], [548.0, 674.0], [547.0, 699.0], [401.0, 693.0]], ('9300805996821', 0.9989804029464722)], [[[169.0, 680.0], [355.0, 701.0], [353.0, 725.0], [166.0, 704.0]], ('%BOLS GUMMI BEARS', 0.9261806011199951)], [[[626.0, 678.0], [660.0, 678.0], [660.0, 704.0], [626.0, 704.0]], ('.15', 0.9850888848304749)], [[[167.0, 710.0], [377.0, 733.0], [374.0, 758.0], [165.0, 736.0]], ('%BELGIAN DARK BLOCK', 0.9549239277839661)], [[[400.0, 701.0], [547.0, 706.0], [546.0, 732.0], [399.0, 726.0]], ('9341103143760', 0.9990521669387817)], [[[623.0, 708.0], [660.0, 708.0], [660.0, 737.0], [623.0, 737.0]], ('.75', 0.9736406207084656)], [[[264.0, 752.0], [354.0, 761.0], [352.0, 786.0], [261.0, 777.0]], ('5@1.00', 0.9867982268333435)], [[[167.0, 773.0], [377.0, 793.0], [374.0, 820.0], [164.0, 800.0]], ('%BELGIAN WHITE BLCK', 0.9498805999755859)], [[[397.0, 765.0], [545.0, 772.0], [544.0, 800.0], [395.0, 793.0]], ('9341101462313', 0.998602032661438)], [[[607.0, 771.0], [658.0, 774.0], [657.0, 805.0], [605.0, 802.0]], ('5.00', 0.9974047541618347)], [[[262.0, 814.0], [353.0, 822.0], [351.0, 847.0], [259.0, 839.0]], ('9@1.00', 0.9936825633049011)], [[[164.0, 836.0], [373.0, 855.0], [371.0, 880.0], [162.0, 860.0]], ('%BELGIAN HNUT BLOCK', 0.9469723701477051)], [[[394.0, 828.0], [541.0, 839.0], [539.0, 868.0], [392.0, 856.0]], ('9341101462337', 0.9941685795783997)], [[[603.0, 838.0], [654.0, 838.0], [654.0, 869.0], [603.0, 869.0]], ('9.00', 0.9963651895523071)], [[[258.0, 872.0], [351.0, 879.0], [349.0, 899.0], [257.0, 896.0]], ('5@1.00', 0.8495273590087891)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "19/07/17", "time": "16:10081", "subtotal": "", "tax": "", "total": "", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "%PAPERCARRYBAG", "item_value": ".15", "item_quantity": "1"}, {"item_key": "", "item_name": "%BOLSGUMMIBEARS", "item_value": ".75", "item_quantity": "1"}, {"item_key": "", "item_name": "%BELGIANDARKBLOCK", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "%BELGIANWHITEBLCK", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "%BELGIANHNUTBLOCK", "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	[[[[223.0, 12.0], [336.0, 12.0], [336.0, 25.0], [223.0, 25.0]], ('Ribs & Rumps', 0.9234997630119324)], [[[253.0, 22.0], [304.0, 20.0], [305.0, 34.0], [253.0, 36.0]], ('DUBAI MALL', 0.8892389535903931)], [[[193.0, 46.0], [248.0, 46.0], [248.0, 57.0], [193.0, 57.0]], ('1011 Tarutan', 0.865813672542572)], [[[185.0, 67.0], [225.0, 67.0], [225.0, 80.0], [185.0, 80.0]], ('Tb133/1', 0.9162449240684509)], [[[256.0, 65.0], [300.0, 63.0], [301.0, 76.0], [256.0, 78.0]], ('Chk1249', 0.9885974526405334)], [[[345.0, 62.0], [376.0, 60.0], [378.0, 74.0], [347.0, 77.0]], ('Gst2', 0.9092044830322266)], [[[238.0, 77.0], [318.0, 74.0], [319.0, 88.0], [239.0, 91.0]], ('HdCZ-60S1.1A9N', 0.6603598594665527)], [[[201.0, 99.0], [271.0, 99.0], [271.0, 113.0], [201.0, 113.0]], ('Dine In', 0.9628097414970398)], [[[192.0, 109.0], [260.0, 111.0], [260.0, 125.0], [192.0, 122.0]], ('1Flet 300g', 0.7966433167457581)], [[[330.0, 107.0], [363.0, 107.0], [363.0, 122.0], [330.0, 122.0]], ('150.00', 0.9906651973724365)], [[[190.0, 132.0], [271.0, 133.0], [271.0, 147.0], [190.0, 146.0]], ('2 Mushroon Sauce', 0.9131754040718079)], [[[210.0, 123.0], [283.0, 123.0], [283.0, 133.0], [210.0, 133.0]], ('Side Vegetables', 0.9565758109092712)], [[[335.0, 130.0], [364.0, 130.0], [364.0, 145.0], [335.0, 145.0]], ('28.00', 0.9790283441543579)], [[[191.0, 144.0], [248.0, 146.0], [247.0, 160.0], [191.0, 157.0]], ('1Rup 200g', 0.8932706117630005)], [[[335.0, 143.0], [364.0, 143.0], [364.0, 157.0], [335.0, 157.0]], ('85.00', 0.9916782379150391)], [[[208.0, 156.0], [284.0, 156.0], [284.0, 170.0], [208.0, 170.0]], ('Side Vegetables', 0.9203442335128784)], [[[190.0, 167.0], [265.0, 169.0], [265.0, 183.0], [190.0, 180.0]], ('1elon Mojito', 0.8376134037971497)], [[[335.0, 167.0], [365.0, 167.0], [365.0, 182.0], [335.0, 182.0]], ('35.00', 0.9906467199325562)], [[[190.0, 181.0], [273.0, 181.0], [273.0, 193.0], [190.0, 193.0]], ('1App1&Elderflowr', 0.8715206384658813)], [[[335.0, 180.0], [366.0, 180.0], [366.0, 193.0], [335.0, 193.0]], ('35.00', 0.9933439493179321)], [[[197.0, 203.0], [222.0, 203.0], [222.0, 217.0], [197.0, 217.0]], ('Food', 0.994194746017456)], [[[331.0, 204.0], [366.0, 204.0], [366.0, 218.0], [331.0, 218.0]], ('263.00', 0.9902650713920593)], [[[196.0, 215.0], [241.0, 217.0], [240.0, 231.0], [195.0, 229.0]], ('Beverage', 0.9946582317352295)], [[[336.0, 217.0], [366.0, 217.0], [366.0, 232.0], [336.0, 232.0]], ('70.00', 0.9916859865188599)], [[[177.0, 228.0], [268.0, 229.0], [268.0, 242.0], [177.0, 241.0]], ('10:02PM Aount De', 0.8165684938430786)], [[[301.0, 229.0], [365.0, 231.0], [365.0, 245.0], [300.0, 243.0]], ('333.00', 0.9982274174690247)], [[[240.0, 265.0], [288.0, 268.0], [288.0, 282.0], [239.0, 280.0]], ('THANK YOU', 0.9280617833137512)], [[[234.0, 280.0], [293.0, 283.0], [293.0, 298.0], [233.0, 294.0]], ('Visit Again', 0.9411459565162659)]]	{"store_name": "Ribs&Rumps", "store_addr": "DUBAIMALL", "telephone": "", "date": "Nov13'15", "time": "10:02PM", "subtotal": "", "tax": "", "total": "333.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Fillet300g", "item_value": "35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SideVegetables", "item_value": "35.00", "item_quantity": "1"}, {"item_key": "", "item_name": "MushroomSauce", "item_value": "85.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Rump200g", "item_value": "28.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SideVegetables", "item_value": "150.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WMelonMojito", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "Appl&Elderflowr", "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	[[[[182.0, 57.0], [317.0, 60.0], [316.0, 92.0], [181.0, 89.0]], ('TARGET', 0.995771586894989)], [[[189.0, 86.0], [314.0, 91.0], [314.0, 108.0], [189.0, 103.0]], ('EXPECT MORE PAY LESS', 0.937226414680481)], [[[127.0, 115.0], [320.0, 121.0], [320.0, 141.0], [127.0, 135.0]], ('TRUMBULL203-455-0102', 0.9896489977836609)], [[[40.0, 209.0], [256.0, 213.0], [256.0, 231.0], [40.0, 227.0]], ('ENTERTAINMENT-ELECTRONICS', 0.9817363023757935)], [[[40.0, 227.0], [121.0, 229.0], [121.0, 244.0], [40.0, 242.0]], ('057170035', 0.9985705614089966)], [[[169.0, 228.0], [264.0, 228.0], [264.0, 245.0], [169.0, 245.0]], ('AMAZON FIRE', 0.9790204763412476)], [[[302.0, 228.0], [385.0, 228.0], [385.0, 245.0], [302.0, 245.0]], ('$123.32', 0.983352780342102)], [[[171.0, 245.0], [346.0, 245.0], [346.0, 259.0], [171.0, 259.0]], ('Regular Price $199.00', 0.9115042686462402)], [[[169.0, 258.0], [322.0, 257.0], [322.0, 274.0], [169.0, 275.0]], ('Return by 01/09/12', 0.9507147669792175)], [[[248.0, 289.0], [313.0, 289.0], [313.0, 303.0], [248.0, 303.0]], ('SUBTOTAL', 0.9956965446472168)], [[[328.0, 287.0], [389.0, 287.0], [389.0, 304.0], [328.0, 304.0]], ('$123.32', 0.9966718554496765)], [[[120.0, 303.0], [316.0, 303.0], [316.0, 320.0], [120.0, 320.0]], ('Your REDcard Savings 5%', 0.9578476548194885)], [[[343.0, 303.0], [391.0, 300.0], [392.0, 317.0], [344.0, 320.0]], ('$6.17', 0.9943023920059204)], [[[57.0, 318.0], [318.0, 315.0], [318.0, 336.0], [57.0, 339.0]], ('T=CT TAX 6.3500% on$117.15', 0.9221073985099792)], [[[346.0, 318.0], [389.0, 318.0], [389.0, 333.0], [346.0, 333.0]], ('$7.44', 0.9946964383125305)], [[[273.0, 333.0], [328.0, 333.0], [328.0, 350.0], [273.0, 350.0]], ('TOTAL', 0.9213639497756958)], [[[328.0, 332.0], [390.0, 331.0], [390.0, 349.0], [328.0, 350.0]], ('$124.59', 0.9940312504768372)], [[[172.0, 366.0], [336.0, 363.0], [336.0, 380.0], [172.0, 383.0]], ('*6775 TARGET VISA ', 0.8946971893310547)], [[[327.0, 363.0], [391.0, 361.0], [391.0, 378.0], [327.0, 380.0]], ('$124.59', 0.9899412989616394)], [[[228.0, 442.0], [267.0, 442.0], [267.0, 456.0], [228.0, 456.0]], ('OFF', 0.9937207698822021)], [[[203.0, 457.0], [269.0, 455.0], [269.0, 473.0], [203.0, 475.0]], ('TODAYO', 0.9273326396942139)], [[[204.0, 473.0], [266.0, 470.0], [267.0, 487.0], [205.0, 490.0]], ('EVERYDAY', 0.9940298795700073)], [[[127.0, 520.0], [332.0, 515.0], [332.0, 536.0], [127.0, 541.0]], ("Today's REDcard Savings", 0.9596214890480042)], [[[206.0, 536.0], [254.0, 536.0], [254.0, 555.0], [206.0, 555.0]], ('$6.17', 0.9955378770828247)], [[[128.0, 605.0], [334.0, 601.0], [334.0, 622.0], [128.0, 626.0]], ('TOTAL SAVINGS THIS TRIP', 0.9638824462890625)], [[[217.0, 625.0], [263.0, 625.0], [263.0, 639.0], [217.0, 639.0]], ('$6.17', 0.9906980395317078)]]	{"store_name": "TARGET", "store_addr": "", "telephone": "TRUMBULL-203-455-0102", "date": "11/25/2011", "time": "01:39PM", "subtotal": "$123.32", "tax": "$7.44", "total": "$124.59", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "AMAZONFIRE", "item_value": "$123.32", "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	[[[[103.0, 51.0], [162.0, 53.0], [161.0, 68.0], [102.0, 66.0]], ('EST.1', 0.6574235558509827)], [[[86.0, 70.0], [166.0, 70.0], [166.0, 99.0], [86.0, 99.0]], ('UNO', 0.997286856174469)], [[[89.0, 101.0], [160.0, 101.0], [160.0, 111.0], [89.0, 111.0]], ('PIZZERIR GRILL', 0.8463010787963867)], [[[44.0, 126.0], [188.0, 125.0], [189.0, 136.0], [44.0, 137.0]], ('TEL617262-4911FAX:617869-7044', 0.838894784450531)], [[[51.0, 117.0], [149.0, 115.0], [149.0, 127.0], [51.0, 128.0]], ('KENMORE SQ', 0.9426681399345398)], [[[146.0, 119.0], [179.0, 119.0], [179.0, 126.0], [146.0, 126.0]], ('1209', 0.8847991228103638)], [[[36.0, 149.0], [156.0, 149.0], [156.0, 162.0], [36.0, 162.0]], ('124 Tabl 93 Paty 2', 0.7753100395202637)], [[[36.0, 167.0], [95.0, 166.0], [95.0, 177.0], [36.0, 178.0]], ('PICK-UP', 0.9649044275283813)], [[[37.0, 159.0], [78.0, 159.0], [78.0, 169.0], [37.0, 169.0]], ('AMHSTA', 0.8112919330596924)], [[[76.0, 159.0], [181.0, 158.0], [181.0, 169.0], [76.0, 170.0]], ('Svr032214308/24/17', 0.8557707667350769)], [[[35.0, 189.0], [148.0, 190.0], [148.0, 204.0], [35.0, 203.0]], ('1REDEP DISH cy', 0.7462252974510193)], [[[44.0, 183.0], [72.0, 183.0], [72.0, 193.0], [44.0, 193.0]], ('DAVID', 0.8566619157791138)], [[[48.0, 201.0], [148.0, 199.0], [148.0, 209.0], [48.0, 211.0]], ('ushrooss.ronl.chcken.', 0.7573832869529724)], [[[48.0, 208.0], [141.0, 207.0], [141.0, 218.0], [48.0, 219.0]], ('rlglnal crust.garc', 0.734200656414032)], [[[173.0, 206.0], [197.0, 206.0], [197.0, 217.0], [173.0, 217.0]], ('21.79', 0.965783953666687)], [[[36.0, 216.0], [159.0, 214.0], [159.0, 224.0], [36.0, 226.0]], ('2WINGS TO G0.1 buffalo se', 0.7225456237792969)], [[[49.0, 224.0], [109.0, 224.0], [109.0, 234.0], [49.0, 234.0]], ('1chicago Tire', 0.7111759185791016)], [[[174.0, 221.0], [197.0, 221.0], [197.0, 232.0], [174.0, 232.0]], ('10.00', 0.9870011210441589)], [[[116.0, 238.0], [159.0, 238.0], [159.0, 249.0], [116.0, 249.0]], ('Sub Total', 0.8337365984916687)], [[[174.0, 237.0], [197.0, 237.0], [197.0, 249.0], [174.0, 249.0]], ('31.79', 0.9473555684089661)], [[[37.0, 255.0], [133.0, 254.0], [133.0, 265.0], [37.0, 266.0]], ('08/242143 TOTAL', 0.9199017882347107)], [[[156.0, 253.0], [196.0, 253.0], [196.0, 264.0], [156.0, 264.0]], ('34.02', 0.9828929901123047)], [[[178.0, 247.0], [196.0, 247.0], [196.0, 255.0], [178.0, 255.0]], ('2.23', 0.8606888055801392)], [[[46.0, 271.0], [180.0, 269.0], [181.0, 280.0], [46.0, 282.0]], ('PLEASE PAY SERVER', 0.9507826566696167)], [[[59.0, 286.0], [175.0, 285.0], [175.0, 299.0], [60.0, 300.0]], ('Custosr Conts nne t', 0.7845109105110168)], [[[72.0, 297.0], [161.0, 295.0], [161.0, 305.0], [73.0, 307.0]], ('www.uns.co/cts', 0.8060516715049744)], [[[68.0, 313.0], [169.0, 312.0], [169.0, 323.0], [69.0, 324.0]], ('Order Onl ine', 0.8782873153686523)], [[[54.0, 340.0], [181.0, 336.0], [182.0, 349.0], [55.0, 353.0]], ('To provide feedbck about your', 0.8116500377655029)], [[[51.0, 357.0], [183.0, 355.0], [184.0, 368.0], [51.0, 370.0]], ('Stephen Brennan. General Manage', 0.8045243620872498)], [[[62.0, 350.0], [170.0, 347.0], [170.0, 358.0], [63.0, 360.0]], ('vis.please contact me.', 0.8611780405044556)], [[[85.0, 367.0], [150.0, 367.0], [150.0, 377.0], [85.0, 377.0]], ('at 617-262-4911', 0.9648606181144714)], [[[53.0, 384.0], [183.0, 381.0], [184.0, 394.0], [54.0, 397.0]], ('RDER CHEKED FOR ACRACY BY', 0.833742618560791)], [[[162.0, 376.0], [202.0, 376.0], [202.0, 383.0], [162.0, 383.0]], ('CREXXXXXX', 0.7114484310150146)], [[[36.0, 399.0], [41.0, 399.0], [41.0, 405.0], [36.0, 405.0]], ('X', 0.5211436748504639)]]	{"store_name": "UNO", "store_addr": "", "telephone": "(617)262-4911", "date": "08/24 08/24/17", "time": "21:43 3221:40", "subtotal": "31.78", "tax": "2.29", "total": "34.02", "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	[[[[146.0, 189.0], [302.0, 189.0], [302.0, 210.0], [146.0, 210.0]], ('Bharat Curry House', 0.9751408100128174)], [[[172.0, 213.0], [268.0, 212.0], [268.0, 230.0], [172.0, 231.0]], ('1045489-V', 0.9832271933555603)], [[[92.0, 235.0], [351.0, 233.0], [351.0, 253.0], [92.0, 256.0]], ('No 27Jalan Mut iara Emas 9/3,', 0.9200559854507446)], [[[136.0, 259.0], [299.0, 257.0], [299.0, 278.0], [137.0, 279.0]], ('Taman Mount Austin,', 0.9512816071510315)], [[[145.0, 282.0], [301.0, 282.0], [301.0, 302.0], [145.0, 302.0]], ('81100 Johor Bahru,', 0.9203360080718994)], [[[197.0, 304.0], [251.0, 304.0], [251.0, 327.0], [197.0, 327.0]], ('Johor.', 0.9893814921379089)], [[[180.0, 330.0], [268.0, 330.0], [268.0, 348.0], [180.0, 348.0]], ('073579619', 0.9977302551269531)], [[[102.0, 353.0], [348.0, 351.0], [348.0, 372.0], [102.0, 375.0]], ('GST Reg.No000045211648', 0.9710626602172852)], [[[97.0, 403.0], [368.0, 402.0], [368.0, 434.0], [97.0, 435.0]], ('GUEST CHECK ', 0.9288758635520935)], [[[42.0, 459.0], [170.0, 454.0], [171.0, 494.0], [44.0, 499.0]], ('Table-', 0.9767532348632812)], [[[40.0, 521.0], [189.0, 519.0], [189.0, 539.0], [41.0, 542.0]], ('Check #230613', 0.9661350846290588)], [[[276.0, 518.0], [361.0, 518.0], [361.0, 539.0], [276.0, 539.0]], ('Paxs0', 0.9692527651786804)], [[[38.0, 547.0], [298.0, 543.0], [298.0, 564.0], [39.0, 567.0]], ('Date29-01-2016 1113:13', 0.9568400979042053)], [[[38.0, 573.0], [214.0, 570.0], [214.0, 590.0], [39.0, 593.0]], ('Server :Supervisor', 0.9537755250930786)], [[[36.0, 626.0], [50.0, 626.0], [50.0, 644.0], [36.0, 644.0]], ('1', 0.9729129076004028)], [[[83.0, 623.0], [196.0, 623.0], [196.0, 644.0], [83.0, 644.0]], ('Chicken Meal', 0.9435940384864807)], [[[369.0, 620.0], [411.0, 620.0], [411.0, 643.0], [369.0, 643.0]], ('9.50', 0.9943887591362)], [[[31.0, 652.0], [47.0, 650.0], [50.0, 671.0], [34.0, 673.0]], ('1', 0.933501124382019)], [[[83.0, 650.0], [187.0, 648.0], [187.0, 670.0], [83.0, 672.0]], ('Mutton Meal', 0.9120680093765259)], [[[364.0, 646.0], [412.0, 646.0], [412.0, 669.0], [364.0, 669.0]], ('10.00', 0.9963372349739075)], [[[33.0, 678.0], [50.0, 678.0], [50.0, 699.0], [33.0, 699.0]], ('2', 0.9973477125167847)], [[[83.0, 677.0], [215.0, 677.0], [215.0, 698.0], [83.0, 698.0]], ('Extra Vege L)', 0.907862663269043)], [[[371.0, 673.0], [415.0, 673.0], [415.0, 696.0], [371.0, 696.0]], ('6.00', 0.9946501851081848)], [[[34.0, 732.0], [129.0, 732.0], [129.0, 753.0], [34.0, 753.0]], ('Subtotal:', 0.971333384513855)], [[[365.0, 729.0], [417.0, 729.0], [417.0, 751.0], [365.0, 751.0]], ('25.50', 0.9954865574836731)], [[[33.0, 760.0], [175.0, 760.0], [175.0, 782.0], [33.0, 782.0]], ('Gorv.Tax 6%', 0.9145030379295349)], [[[374.0, 756.0], [418.0, 756.0], [418.0, 780.0], [374.0, 780.0]], ('1.53', 0.990454912185669)], [[[32.0, 788.0], [166.0, 788.0], [166.0, 808.0], [32.0, 808.0]], ('Rounding Adj:', 0.9223006367683411)], [[[375.0, 784.0], [418.0, 784.0], [418.0, 807.0], [375.0, 807.0]], ('0.02', 0.9940866827964783)], [[[31.0, 842.0], [146.0, 842.0], [146.0, 882.0], [31.0, 882.0]], ('TOTAL:', 0.9810357689857483)], [[[316.0, 839.0], [419.0, 836.0], [420.0, 881.0], [317.0, 884.0]], ('27.05', 0.993436336517334)]]	{"store_name": "BharatCurryHouse", "store_addr": "No27,JalanMutiaraEmas9/3, TamanMountAustin, 81100JohorBahru, Johor,", "telephone": "073579619", "date": "29-01-2016", "time": "11:13:13", "subtotal": "25.50", "tax": "1.53", "total": "27.05", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenMeal", "item_value": "9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "MuttonMeal", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ExtraVege(L)", "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	[[[[116.0, 165.0], [260.0, 166.0], [260.0, 183.0], [116.0, 182.0]], ('1000 Broadway', 0.956633448600769)], [[[130.0, 178.0], [249.0, 177.0], [249.0, 194.0], [130.0, 195.0]], ('ucingamo.4010', 0.7219851016998291)], [[[151.0, 192.0], [226.0, 191.0], [227.0, 205.0], [152.0, 206.0]], ('T00691020', 0.8451650738716125)], [[[157.0, 203.0], [218.0, 205.0], [218.0, 219.0], [156.0, 217.0]], ('SurTingau', 0.7055457234382629)], [[[153.0, 217.0], [221.0, 219.0], [221.0, 232.0], [152.0, 230.0]], ('1000 Brondw', 0.85335773229599)], [[[131.0, 230.0], [245.0, 229.0], [245.0, 246.0], [131.0, 247.0]], ('BrngamCA 94010', 0.8269405364990234)], [[[75.0, 255.0], [191.0, 257.0], [191.0, 272.0], [75.0, 270.0]], ('DUPLICATE RECEIT', 0.865498960018158)], [[[84.0, 285.0], [151.0, 285.0], [151.0, 299.0], [84.0, 299.0]], ('Description', 0.9714972972869873)], [[[210.0, 285.0], [232.0, 285.0], [232.0, 302.0], [210.0, 302.0]], ('oty', 0.7411139607429504)], [[[263.0, 286.0], [302.0, 286.0], [302.0, 300.0], [263.0, 300.0]], ('Ambunt', 0.8888614773750305)], [[[85.0, 312.0], [165.0, 312.0], [165.0, 326.0], [85.0, 326.0]], ('REGB7A#02', 0.6878702044487)], [[[190.0, 310.0], [229.0, 312.0], [228.0, 328.0], [189.0, 326.0]], ('0.0006', 0.8600327968597412)], [[[273.0, 312.0], [303.0, 312.0], [303.0, 328.0], [273.0, 328.0]], ('0.00', 0.9402902722358704)], [[[108.0, 326.0], [170.0, 326.0], [170.0, 340.0], [108.0, 340.0]], ('0.030/', 0.8331325054168701)], [[[179.0, 353.0], [230.0, 353.0], [230.0, 370.0], [179.0, 370.0]], ('Subtotal', 0.9315998554229736)], [[[277.0, 354.0], [305.0, 354.0], [305.0, 369.0], [277.0, 369.0]], ('0.00', 0.9410073757171631)], [[[208.0, 367.0], [232.0, 370.0], [230.0, 384.0], [206.0, 381.0]], ('Tax', 0.9711360335350037)], [[[278.0, 366.0], [306.0, 368.0], [305.0, 384.0], [276.0, 382.0]], ('0.00', 0.9548895359039307)], [[[132.0, 383.0], [189.0, 383.0], [189.0, 397.0], [132.0, 397.0]], ('TOTAL', 0.990298867225647)], [[[260.0, 381.0], [311.0, 383.0], [310.0, 398.0], [259.0, 396.0]], ('0.00', 0.9904468059539795)], [[[198.0, 396.0], [240.0, 396.0], [240.0, 411.0], [198.0, 411.0]], ('BEBIT', 0.9220613241195679)], [[[279.0, 397.0], [310.0, 397.0], [310.0, 412.0], [279.0, 412.0]], ('0.00', 0.7717009782791138)], [[[65.0, 438.0], [118.0, 440.0], [117.0, 458.0], [64.0, 456.0]], ('MC DEBIT', 0.7499083280563354)], [[[64.0, 455.0], [144.0, 457.0], [143.0, 474.0], [63.0, 472.0]], ('Payment from', 0.9315493106842041)], [[[66.0, 473.0], [160.0, 473.0], [160.0, 487.0], [66.0, 487.0]], ('Primary Acocunt', 0.810251772403717)], [[[66.0, 489.0], [167.0, 489.0], [167.0, 502.0], [66.0, 502.0]], ('XXXXXXXXXXXX6085', 0.7974840402603149)], [[[66.0, 504.0], [155.0, 504.0], [155.0, 518.0], [66.0, 518.0]], ('Auth312305', 0.9866896867752075)], [[[66.0, 520.0], [144.0, 520.0], [144.0, 534.0], [66.0, 534.0]], ('Resp Code0', 0.8758746385574341)], [[[64.0, 534.0], [168.0, 531.0], [169.0, 548.0], [65.0, 551.0]], ('Stan0185198462', 0.9798154234886169)], [[[65.0, 551.0], [174.0, 547.0], [175.0, 564.0], [66.0, 568.0]], ('Invalce127036', 0.848456621170044)], [[[64.0, 566.0], [205.0, 563.0], [206.0, 580.0], [65.0, 583.0]], ('SITE 10T006910286001', 0.8745166063308716)], [[[65.0, 584.0], [168.0, 579.0], [169.0, 596.0], [66.0, 601.0]], ('APPROVED312305', 0.9698973298072815)], [[[170.0, 613.0], [230.0, 613.0], [230.0, 630.0], [170.0, 630.0]], ('Thank You', 0.9239572882652283)], [[[66.0, 671.0], [111.0, 668.0], [112.0, 686.0], [67.0, 689.0]], ('OHS3', 0.8060532808303833)], [[[209.0, 663.0], [321.0, 662.0], [321.0, 679.0], [209.0, 680.0]], ('04/09/1714:30:24', 0.9298512935638428)]]	{"store_name": "BurlingameVaIe 1000Broadway", "store_addr": "", "telephone": "", "date": "04/09/17", "time": "14:30:24", "subtotal": "0.00", "tax": "0.00", "total": "0.00", "ignore": " ", "tips": "", "line_items": [{"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	[[[[64.0, 51.0], [227.0, 53.0], [227.0, 70.0], [63.0, 68.0]], ('Sunshine POS', 0.9461895823478699)], [[[96.0, 68.0], [207.0, 71.0], [207.0, 87.0], [96.0, 84.0]], ('Sold To:Samples', 0.9005782008171082)], [[[42.0, 84.0], [261.0, 88.0], [260.0, 104.0], [42.0, 101.0]], ('SAMPLES/#14107-August072001', 0.9751874208450317)], [[[8.0, 118.0], [159.0, 119.0], [159.0, 134.0], [8.0, 133.0]], ('Bedwetting 1 FL.Oz.', 0.905892014503479)], [[[251.0, 121.0], [289.0, 121.0], [289.0, 136.0], [251.0, 136.0]], ('$8.50', 0.9934734106063843)], [[[7.0, 135.0], [206.0, 137.0], [206.0, 151.0], [7.0, 149.0]], ('CVITAMIN-CITRUS Biofav/500', 0.9188671112060547)], [[[244.0, 137.0], [290.0, 137.0], [290.0, 155.0], [244.0, 155.0]], ('$10.95', 0.9913831353187561)], [[[9.0, 153.0], [104.0, 153.0], [104.0, 167.0], [9.0, 167.0]], ('ALJ2FL.OZ', 0.9328845143318176)], [[[250.0, 155.0], [289.0, 155.0], [289.0, 170.0], [250.0, 170.0]], ('$9.50', 0.9961704015731812)], [[[7.0, 167.0], [199.0, 169.0], [199.0, 186.0], [7.0, 184.0]], ('HSN-WKSP-STRUCTURALT-10', 0.97645103931427)], [[[244.0, 172.0], [289.0, 172.0], [289.0, 187.0], [244.0, 187.0]], ('$11.25', 0.9902179837226868)], [[[9.0, 183.0], [199.0, 186.0], [199.0, 203.0], [8.0, 200.0]], ('ACIDOPHILUS-FLORA Fore 90', 0.948779284954071)], [[[244.0, 188.0], [289.0, 188.0], [289.0, 203.0], [244.0, 203.0]], ('$14.25', 0.9923095107078552)], [[[7.0, 201.0], [173.0, 203.0], [173.0, 220.0], [7.0, 218.0]], ('Oregon Grape2 FL.Oz.', 0.9470995664596558)], [[[245.0, 205.0], [289.0, 205.0], [289.0, 220.0], [245.0, 220.0]], ('$11.95', 0.992523193359375)], [[[156.0, 234.0], [222.0, 237.0], [221.0, 254.0], [155.0, 251.0]], ('SUBTOTAL:', 0.9631921052932739)], [[[243.0, 234.0], [290.0, 237.0], [289.0, 255.0], [242.0, 252.0]], ('$66.40', 0.9887542724609375)], [[[148.0, 251.0], [222.0, 254.0], [221.0, 272.0], [148.0, 269.0]], ('SALES TAX', 0.9524195790290833)], [[[248.0, 253.0], [290.0, 253.0], [290.0, 271.0], [248.0, 271.0]], ('$0.00', 0.9928344488143921)], [[[176.0, 284.0], [223.0, 287.0], [222.0, 303.0], [175.0, 301.0]], ('TOTAL:', 0.9405667185783386)], [[[245.0, 287.0], [289.0, 287.0], [289.0, 302.0], [245.0, 302.0]], ('$66.40', 0.9956579208374023)], [[[155.0, 302.0], [221.0, 302.0], [221.0, 319.0], [155.0, 319.0]], ('PAYMENTS:', 0.9685733318328857)], [[[244.0, 304.0], [289.0, 304.0], [289.0, 319.0], [244.0, 319.0]], ('$66.40', 0.9914152026176453)], [[[136.0, 318.0], [222.0, 320.0], [222.0, 337.0], [135.0, 335.0]], ('BALANCE DUE:', 0.9315479397773743)], [[[236.0, 318.0], [289.0, 320.0], [288.0, 338.0], [235.0, 336.0]], ('$783.95', 0.9962682127952576)], [[[7.0, 350.0], [126.0, 351.0], [126.0, 368.0], [7.0, 367.0]], ('You Saved$30.80', 0.9701966643333435)], [[[7.0, 384.0], [173.0, 385.0], [173.0, 402.0], [7.0, 401.0]], ('Total number of items:6', 0.916347086429596)], [[[7.0, 415.0], [65.0, 418.0], [64.0, 436.0], [6.0, 433.0]], ('Volumes:', 0.9561201333999634)], [[[142.0, 416.0], [194.0, 419.0], [193.0, 437.0], [141.0, 434.0]], ('Invoice', 0.997909665107727)], [[[216.0, 417.0], [241.0, 420.0], [239.0, 436.0], [214.0, 433.0]], ('PV', 0.8447179794311523)], [[[264.0, 419.0], [288.0, 419.0], [288.0, 436.0], [264.0, 436.0]], ('GV', 0.9779019355773926)], [[[7.0, 434.0], [32.0, 434.0], [32.0, 449.0], [7.0, 449.0]], ('NSP', 0.9972040057182312)], [[[169.0, 436.0], [194.0, 436.0], [194.0, 451.0], [169.0, 451.0]], ('N/C', 0.9934310913085938)], [[[216.0, 436.0], [241.0, 436.0], [241.0, 452.0], [216.0, 452.0]], ('225', 0.998253345489502)], [[[264.0, 436.0], [288.0, 436.0], [288.0, 453.0], [264.0, 453.0]], ('225', 0.9987185597419739)], [[[6.0, 449.0], [259.0, 453.0], [259.0, 470.0], [6.0, 466.0]], ('*Paid Invoices for Current Month Only', 0.9527831077575684)], [[[181.0, 485.0], [220.0, 485.0], [220.0, 503.0], [181.0, 503.0]], ('Cash:', 0.9575730562210083)], [[[242.0, 484.0], [289.0, 486.0], [288.0, 504.0], [241.0, 502.0]], ('$66.40', 0.9913816452026367)], [[[41.0, 517.0], [213.0, 519.0], [212.0, 536.0], [41.0, 534.0]], ('Thank you for your order.', 0.9549105763435364)], [[[25.0, 550.0], [206.0, 553.0], [206.0, 570.0], [25.0, 567.0]], ('Please contact us with any', 0.9618071913719177)], [[[6.0, 567.0], [216.0, 569.0], [216.0, 586.0], [6.0, 583.0]], ('questions or problems you have', 0.9556952118873596)], [[[28.0, 602.0], [184.0, 602.0], [184.0, 616.0], [28.0, 616.0]], ('www.sunshinesupport.com', 0.955890417098999)]]	{"store_name": "SunshinePOS", "store_addr": "", "telephone": "", "date": "SAMPLES/#14107-August07,2001", "time": "", "subtotal": "$66.40", "tax": "$0.00", "total": "$66.40 $66.40", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "Bedwetting(1FL.Oz.)", "item_value": "$8.50", "item_quantity": "1"}, {"item_key": "", "item_name": "C,VITAMIN-CITRUSBioflav/500", "item_value": "$10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "ALJ(2FL.OZ)", "item_value": "$9.50", "item_quantity": "1"}, {"item_key": "", "item_name": "HSN-W(KSP-STRUCTURAL,T-10)", "item_value": "$11.25", "item_quantity": "1"}, {"item_key": "", "item_name": "ACIDOPHILUS-FLORAForce(90)", "item_value": "$14.25", "item_quantity": "1"}, {"item_key": "", "item_name": "OregonGrape(2FL.Oz)", "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	[[[[472.0, 212.0], [702.0, 212.0], [702.0, 252.0], [472.0, 252.0]], ('Berghotel', 0.9026678800582886)], [[[391.0, 250.0], [805.0, 260.0], [804.0, 310.0], [390.0, 300.0]], ('Grosse Scheidegg', 0.968644380569458)], [[[443.0, 303.0], [725.0, 307.0], [724.0, 342.0], [443.0, 338.0]], ('3818 Grindelwald', 0.9527249932289124)], [[[445.0, 353.0], [721.0, 353.0], [721.0, 388.0], [445.0, 388.0]], ('Fami lie R.Muller', 0.9245189428329468)], [[[182.0, 450.0], [411.0, 450.0], [411.0, 485.0], [182.0, 485.0]], ('Rech.Nr.4572', 0.9738242626190186)], [[[602.0, 450.0], [927.0, 452.0], [927.0, 487.0], [602.0, 485.0]], ('30.07.2007/13:29:17', 0.9676110148429871)], [[[180.0, 492.0], [241.0, 500.0], [236.0, 540.0], [175.0, 532.0]], ('Bar', 0.9935287833213806)], [[[721.0, 496.0], [819.0, 500.0], [817.0, 539.0], [719.0, 535.0]], ('Tisch', 0.9954429864883423)], [[[854.0, 500.0], [929.0, 500.0], [929.0, 538.0], [854.0, 538.0]], ('7/01', 0.9978106021881104)], [[[203.0, 598.0], [499.0, 598.0], [499.0, 632.0], [203.0, 632.0]], ('2xLatte Macchiato', 0.973534107208252)], [[[547.0, 598.0], [571.0, 598.0], [571.0, 633.0], [547.0, 633.0]], ('a', 0.974353551864624)], [[[615.0, 595.0], [694.0, 595.0], [694.0, 633.0], [615.0, 633.0]], ('4.50', 0.9955686926841736)], [[[721.0, 597.0], [777.0, 597.0], [777.0, 633.0], [721.0, 633.0]], ('CHF', 0.9936296343803406)], [[[839.0, 593.0], [918.0, 597.0], [915.0, 636.0], [836.0, 631.0]], ('9.00', 0.9951855540275574)], [[[203.0, 643.0], [324.0, 643.0], [324.0, 680.0], [203.0, 680.0]], ('1xGloki', 0.8119980692863464)], [[[614.0, 642.0], [694.0, 642.0], [694.0, 680.0], [614.0, 680.0]], ('5.00', 0.9966247081756592)], [[[721.0, 645.0], [777.0, 645.0], [777.0, 682.0], [721.0, 682.0]], ('CHF', 0.9915359616279602)], [[[839.0, 642.0], [917.0, 642.0], [917.0, 680.0], [839.0, 680.0]], ('5.00', 0.9967482089996338)], [[[208.0, 695.0], [513.0, 695.0], [513.0, 723.0], [208.0, 723.0]], ('1xSchweinschnitzel', 0.94566410779953)], [[[549.0, 695.0], [569.0, 695.0], [569.0, 722.0], [549.0, 722.0]], ('a', 0.9752115607261658)], [[[598.0, 690.0], [694.0, 690.0], [694.0, 727.0], [598.0, 727.0]], ('22.00', 0.99571692943573)], [[[721.0, 692.0], [777.0, 692.0], [777.0, 725.0], [721.0, 725.0]], ('CHF', 0.9795475602149963)], [[[825.0, 688.0], [918.0, 692.0], [916.0, 730.0], [823.0, 726.0]], ('22.00', 0.9960576891899109)], [[[206.0, 738.0], [428.0, 738.0], [428.0, 773.0], [206.0, 773.0]], ('1xChasspatzli', 0.9852851033210754)], [[[602.0, 737.0], [695.0, 737.0], [695.0, 773.0], [602.0, 773.0]], ('18.50', 0.9962261319160461)], [[[722.0, 732.0], [780.0, 738.0], [776.0, 776.0], [718.0, 771.0]], ('CHF', 0.9858519434928894)], [[[551.0, 742.0], [571.0, 742.0], [571.0, 770.0], [551.0, 770.0]], ('a', 0.9780921339988708)], [[[827.0, 735.0], [920.0, 735.0], [920.0, 777.0], [827.0, 777.0]], ('18.50', 0.9964458346366882)], [[[600.0, 837.0], [660.0, 837.0], [660.0, 878.0], [600.0, 878.0]], ('CHF', 0.99257892370224)], [[[755.0, 830.0], [893.0, 830.0], [893.0, 878.0], [755.0, 878.0]], ('54.50', 0.966903030872345)], [[[411.0, 840.0], [535.0, 840.0], [535.0, 877.0], [411.0, 877.0]], ('Total :', 0.9011053442955017)], [[[184.0, 937.0], [457.0, 937.0], [457.0, 970.0], [184.0, 970.0]], ('Incl.7.6% MwSt', 0.9132488369941711)], [[[496.0, 935.0], [673.0, 935.0], [673.0, 970.0], [496.0, 970.0]], ('54.50CHF', 0.9941851496696472)], [[[740.0, 930.0], [822.0, 930.0], [822.0, 973.0], [740.0, 973.0]], ('3.85', 0.9952921271324158)], [[[182.0, 1037.0], [510.0, 1037.0], [510.0, 1070.0], [182.0, 1070.0]], ('Entspricht in Euro', 0.9714829325675964)], [[[551.0, 1035.0], [731.0, 1035.0], [731.0, 1070.0], [551.0, 1070.0]], ('36.33EUR', 0.9913380742073059)], [[[181.0, 1087.0], [586.0, 1087.0], [586.0, 1120.0], [181.0, 1120.0]], ('Es bediente Sie: Ursula', 0.9217509627342224)], [[[445.0, 1185.0], [748.0, 1183.0], [748.0, 1218.0], [445.0, 1220.0]], ('MwSt Nr.:430 234', 0.9034481048583984)], [[[413.0, 1235.0], [750.0, 1235.0], [750.0, 1270.0], [413.0, 1270.0]], ('Tel.:0338536716', 0.9305874705314636)], [[[411.0, 1283.0], [750.0, 1282.0], [750.0, 1317.0], [411.0, 1318.0]], ('Fax.:0338536719', 0.9430184960365295)], [[[232.0, 1333.0], [835.0, 1330.0], [835.0, 1368.0], [232.0, 1372.0]], ('E-mail: grossescheidegg@b luewin.ch', 0.9483029246330261)]]	{"store_name": "GrosseScheidegg Berghotel", "store_addr": "FamilieR.M\u00fcller 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": "LatteMacchiato", "item_value": "18.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Gloki", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Schweinschnitzel", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Ch\u00e4ssp\u00e4tzli", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "18.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "22.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "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	[[[[159.0, 6.0], [180.0, 6.0], [178.0, 166.0], [157.0, 166.0]], ('GRATIS Guarda', 0.9573185443878174)], [[[221.0, 5.0], [405.0, 7.0], [404.0, 31.0], [220.0, 29.0]], ('WHOPPER', 0.9954749345779419)], [[[217.0, 42.0], [372.0, 28.0], [376.0, 66.0], [221.0, 79.0]], ('BURGERKINGRATIS', 0.8223823308944702)], [[[194.0, 72.0], [313.0, 72.0], [313.0, 89.0], [194.0, 89.0]], ('LARGO COCCO GRIFFI N 13', 0.9195541739463806)], [[[212.0, 89.0], [293.0, 89.0], [293.0, 106.0], [212.0, 106.0]], ('56122PISA PI', 0.9550132155418396)], [[[235.0, 123.0], [274.0, 123.0], [274.0, 138.0], [235.0, 138.0]], ('CASSA 1', 0.9363497495651245)], [[[290.0, 116.0], [422.0, 116.0], [422.0, 129.0], [290.0, 129.0]], ('TRO DELLO SCONTRING', 0.9194941520690918)], [[[345.0, 156.0], [370.0, 156.0], [370.0, 172.0], [345.0, 172.0]], ('EURO', 0.9809169769287109)], [[[143.0, 173.0], [180.0, 173.0], [180.0, 192.0], [143.0, 192.0]], ('WHOPPER', 0.9306700825691223)], [[[353.0, 172.0], [380.0, 172.0], [380.0, 192.0], [353.0, 192.0]], ('4,40', 0.9631203413009644)], [[[142.0, 192.0], [206.0, 192.0], [206.0, 209.0], [142.0, 209.0]], ('REGULAR COKE', 0.9728257060050964)], [[[354.0, 189.0], [380.0, 189.0], [380.0, 208.0], [354.0, 208.0]], ('2,20', 0.8722514510154724)], [[[142.0, 208.0], [195.0, 208.0], [195.0, 226.0], [142.0, 226.0]], ('SUBTOTALE', 0.9933914542198181)], [[[257.0, 209.0], [380.0, 204.0], [380.0, 225.0], [257.0, 230.0]], ('Entra nel s6,60', 0.8932685852050781)], [[[140.0, 224.0], [205.0, 224.0], [205.0, 257.0], [140.0, 257.0]], ('TOTALEURO', 0.7964453101158142)], [[[143.0, 253.0], [188.0, 253.0], [188.0, 271.0], [143.0, 271.0]], ('CONTANTE', 0.9944281578063965)], [[[349.0, 249.0], [377.0, 249.0], [377.0, 264.0], [349.0, 264.0]], ('20,00', 0.8807133436203003)], [[[143.0, 270.0], [179.0, 270.0], [179.0, 289.0], [143.0, 289.0]], ('RESTO', 0.9918572306632996)], [[[347.0, 265.0], [377.0, 262.0], [379.0, 281.0], [349.0, 284.0]], ('13,40', 0.9879911541938782)], [[[169.0, 309.0], [184.0, 309.0], [184.0, 323.0], [169.0, 323.0]], ('O', 0.5511564016342163)], [[[177.0, 305.0], [334.0, 299.0], [335.0, 316.0], [177.0, 322.0]], ('ENJOY YOUR MEAL IN BURGER KING', 0.9325574040412903)], [[[241.0, 319.0], [276.0, 319.0], [276.0, 338.0], [241.0, 338.0]], ('#19457', 0.9737628102302551)], [[[223.0, 341.0], [408.0, 330.0], [410.0, 358.0], [225.0, 369.0]], ('WHOPPER', 0.9965896606445312)], [[[143.0, 374.0], [186.0, 374.0], [186.0, 396.0], [143.0, 396.0]], ('18-0514', 0.9400907158851624)], [[[196.0, 377.0], [223.0, 374.0], [225.0, 391.0], [197.0, 394.0]], ('13:07', 0.9714726209640503)], [[[167.0, 396.0], [181.0, 396.0], [181.0, 408.0], [167.0, 408.0]], ('S', 0.5345428586006165)]]	{"store_name": "BURGERKING", "store_addr": "LARGOCOCCOGRIFFIN13 56122PISA(PI)", "telephone": "", "date": "18-05-1413:07", "time": "", "subtotal": "6,60", "tax": "", "total": "6,60", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WHOPPER", "item_value": "4,40", "item_quantity": "1"}, {"item_key": "", "item_name": "REGULARCOKE", "item_value": "2,20", "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	[[[[221.0, 156.0], [282.0, 154.0], [282.0, 172.0], [222.0, 174.0]], ('GST', 0.9619987607002258)], [[[325.0, 159.0], [360.0, 159.0], [360.0, 170.0], [325.0, 170.0]], ('NO', 0.7346847057342529)], [[[275.0, 170.0], [443.0, 170.0], [443.0, 191.0], [275.0, 191.0]], ('3 Clover Way', 0.9043963551521301)], [[[245.0, 194.0], [471.0, 189.0], [472.0, 219.0], [246.0, 223.0]], ('Singapore 579078', 0.9787002205848694)], [[[220.0, 224.0], [499.0, 220.0], [499.0, 245.0], [220.0, 249.0]], ('Phone: +65 6353 3995', 0.9088472127914429)], [[[250.0, 251.0], [467.0, 249.0], [467.0, 274.0], [251.0, 276.0]], ('TABLE14', 0.9857812523841858)], [[[88.0, 280.0], [158.0, 280.0], [158.0, 307.0], [88.0, 307.0]], ('Pax:3', 0.9322823286056519)], [[[249.0, 279.0], [399.0, 279.0], [399.0, 304.0], [249.0, 304.0]], ('OP:Xiao Wei', 0.8497801423072815)], [[[509.0, 276.0], [586.0, 276.0], [586.0, 306.0], [509.0, 306.0]], ('Fabio', 0.9952200055122375)], [[[91.0, 307.0], [316.0, 309.0], [316.0, 334.0], [90.0, 332.0]], ('POS Title:Cashier', 0.9256568551063538)], [[[496.0, 305.0], [637.0, 307.0], [636.0, 333.0], [496.0, 331.0]], ('POS:POS001', 0.9214293360710144)], [[[95.0, 336.0], [330.0, 335.0], [331.0, 360.0], [95.0, 361.0]], ('Rcpt#:A16000000737', 0.974335253238678)], [[[415.0, 335.0], [634.0, 335.0], [634.0, 360.0], [415.0, 360.0]], ('01/04/201619:25', 0.9828387498855591)], [[[129.0, 385.0], [246.0, 390.0], [245.0, 412.0], [128.0, 407.0]], ('1Cannona', 0.9948006868362427)], [[[544.0, 383.0], [628.0, 383.0], [628.0, 408.0], [544.0, 408.0]], ('$76.00', 0.9945082664489746)], [[[132.0, 406.0], [387.0, 407.0], [387.0, 432.0], [132.0, 431.0]], ('1P.Pizza all aglio', 0.8945403695106506)], [[[540.0, 407.0], [623.0, 405.0], [623.0, 428.0], [540.0, 430.0]], ('$12.50', 0.9964748024940491)], [[[138.0, 430.0], [301.0, 431.0], [301.0, 452.0], [138.0, 451.0]], ('1Panna cotta', 0.9772698283195496)], [[[537.0, 427.0], [618.0, 425.0], [619.0, 446.0], [537.0, 448.0]], ('$12.50', 0.9962312579154968)], [[[163.0, 451.0], [326.0, 450.0], [326.0, 469.0], [163.0, 470.0]], ('Pollo Diavola', 0.9163365960121155)], [[[536.0, 446.0], [612.0, 444.0], [613.0, 462.0], [536.0, 465.0]], ('$25.00', 0.9909231662750244)], [[[165.0, 471.0], [365.0, 470.0], [365.0, 491.0], [165.0, 492.0]], ('Risotto Mushroom', 0.9692484736442566)], [[[537.0, 464.0], [615.0, 464.0], [615.0, 485.0], [537.0, 485.0]], ('$21.50', 0.9978998303413391)], [[[140.0, 492.0], [351.0, 490.0], [352.0, 510.0], [140.0, 513.0]], ('1S.O.Meat Balls', 0.8871349692344666)], [[[552.0, 483.0], [618.0, 483.0], [618.0, 505.0], [552.0, 505.0]], ('$9.00', 0.9919346570968628)], [[[541.0, 504.0], [622.0, 502.0], [622.0, 525.0], [542.0, 527.0]], ('$14.50', 0.9974284172058105)], [[[139.0, 514.0], [265.0, 514.0], [265.0, 534.0], [139.0, 534.0]], ('1Tiramisu', 0.993828535079956)], [[[134.0, 535.0], [311.0, 531.0], [312.0, 556.0], [134.0, 560.0]], ('1 Vongole Soup', 0.9377428889274597)], [[[543.0, 526.0], [627.0, 524.0], [628.0, 550.0], [544.0, 552.0]], ('$14.50', 0.9966674447059631)], [[[152.0, 583.0], [253.0, 579.0], [254.0, 604.0], [153.0, 608.0]], ('SUBTOTAL', 0.9960052967071533)], [[[536.0, 574.0], [634.0, 574.0], [634.0, 600.0], [536.0, 600.0]], ('$185.50', 0.9974859356880188)], [[[152.0, 607.0], [309.0, 604.0], [310.0, 630.0], [153.0, 634.0]], ('10%Svr Chrg', 0.9683460593223572)], [[[552.0, 601.0], [636.0, 601.0], [636.0, 627.0], [552.0, 627.0]], ('$18.55', 0.9963517189025879)], [[[152.0, 632.0], [229.0, 632.0], [229.0, 662.0], [152.0, 662.0]], ('7%GST', 0.9889092445373535)], [[[553.0, 627.0], [639.0, 627.0], [639.0, 656.0], [553.0, 656.0]], ('$14.28', 0.997098982334137)], [[[152.0, 685.0], [275.0, 685.0], [275.0, 715.0], [152.0, 715.0]], ('TOTAL', 0.997920036315918)], [[[449.0, 683.0], [638.0, 683.0], [638.0, 711.0], [449.0, 711.0]], ('$218.33', 0.9963681101799011)], [[[281.0, 772.0], [493.0, 772.0], [493.0, 800.0], [281.0, 800.0]], ('www.follia.asia', 0.986916184425354)], [[[225.0, 800.0], [551.0, 801.0], [550.0, 829.0], [225.0, 828.0]], ('Email: info@follia.asia', 0.9523873329162598)], [[[307.0, 860.0], [439.0, 860.0], [439.0, 890.0], [307.0, 890.0]], ('Thank you', 0.9425723552703857)], [[[265.0, 891.0], [467.0, 891.0], [467.0, 919.0], [265.0, 919.0]], ('See you again!', 0.9104233384132385)], [[[294.0, 922.0], [512.0, 922.0], [512.0, 940.0], [294.0, 940.0]], ('***', 0.6253750324249268)], [[[242.0, 973.0], [494.0, 973.0], [494.0, 995.0], [242.0, 995.0]], ('PreSettlement Bi11', 0.9257674813270569)]]	{"store_name": "", "store_addr": "Singapore579078 3CloverWay", "telephone": "+6563533995", "date": "01/04/2016", "time": "19:25", "subtotal": "$185.50", "tax": "$14.28", "total": "$218.33", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "VongoleSoup", "item_value": "$14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Tiramisu", "item_value": "$14.50", "item_quantity": "1"}, {"item_key": "", "item_name": "S.O.MeatBalls", "item_value": "$9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RisottoMushroom", "item_value": "$21.50", "item_quantity": "1"}, {"item_key": "", "item_name": "PolloDiavola", "item_value": "$25.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Pannacotta", "item_value": "$12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "P.Pizzaallaglio", "item_value": "$12.50", "item_quantity": "1"}, {"item_key": "", "item_name": "Cannona", "item_value": "$76.00", "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	[[[[109.0, 35.0], [194.0, 34.0], [194.0, 48.0], [110.0, 49.0]], ('404&', 0.8539466857910156)], [[[94.0, 47.0], [208.0, 45.0], [208.0, 58.0], [94.0, 60.0]], ('RENAISSANCE NASHVILLE', 0.9701283574104309)], [[[45.0, 67.0], [118.0, 70.0], [118.0, 85.0], [44.0, 81.0]], ('82875Jennice', 0.9533920884132385)], [[[97.0, 58.0], [207.0, 55.0], [208.0, 69.0], [97.0, 72.0]], ('** THE BRIDGE **', 0.8621028661727905)], [[[41.0, 90.0], [130.0, 93.0], [129.0, 107.0], [40.0, 104.0]], ('CHK1275', 0.9964659810066223)], [[[205.0, 90.0], [241.0, 90.0], [241.0, 101.0], [205.0, 101.0]], ('GST', 0.9941228032112122)], [[[249.0, 89.0], [260.0, 89.0], [260.0, 98.0], [249.0, 98.0]], ('7', 0.51492840051651)], [[[135.0, 102.0], [166.0, 102.0], [166.0, 117.0], [135.0, 117.0]], ('QUES', 0.9874736070632935)], [[[98.0, 116.0], [196.0, 112.0], [196.0, 126.0], [98.0, 130.0]], ('21JAN17 635PM', 0.9525455236434937)], [[[41.0, 137.0], [90.0, 140.0], [89.0, 154.0], [40.0, 151.0]], ('1.CORONA', 0.8790724873542786)], [[[203.0, 137.0], [248.0, 137.0], [248.0, 151.0], [203.0, 151.0]], ('7.00T8', 0.9347503185272217)], [[[39.0, 151.0], [127.0, 152.0], [127.0, 166.0], [39.0, 165.0]], ('1 ANGRY ORCHARD', 0.9250315427780151)], [[[202.0, 151.0], [246.0, 151.0], [246.0, 162.0], [202.0, 162.0]], ('7.00T8', 0.9749389290809631)], [[[39.0, 163.0], [115.0, 165.0], [115.0, 179.0], [38.0, 177.0]], ('1QUESO CHIKN', 0.9295704364776611)], [[[180.0, 162.0], [247.0, 162.0], [247.0, 176.0], [180.0, 176.0]], ('12.00T1 T2', 0.9241400957107544)], [[[46.0, 189.0], [101.0, 189.0], [101.0, 203.0], [46.0, 203.0]], ('Subtotal:', 0.9902336597442627)], [[[206.0, 187.0], [246.0, 185.0], [247.0, 200.0], [207.0, 202.0]], ('$26.00', 0.9955474734306335)], [[[44.0, 201.0], [72.0, 204.0], [70.0, 216.0], [43.0, 212.0]], ('Tax:', 0.9410405158996582)], [[[210.0, 201.0], [246.0, 199.0], [247.0, 214.0], [211.0, 216.0]], ('$2.47', 0.9928107261657715)], [[[27.0, 213.0], [112.0, 215.0], [111.0, 229.0], [27.0, 227.0]], ('7:00PM', 0.9279972910881042)], [[[61.0, 229.0], [125.0, 229.0], [125.0, 240.0], [61.0, 240.0]], ('TOTAL', 0.9974091649055481)], [[[127.0, 227.0], [261.0, 226.0], [261.0, 240.0], [127.0, 241.0]], ('DUE$28.47', 0.979010283946991)], [[[43.0, 253.0], [239.0, 255.0], [239.0, 269.0], [43.0, 267.0]], ('PLEASE COMPLETE FOR ROOM CHARGES', 0.9470593333244324)], [[[135.0, 272.0], [194.0, 272.0], [194.0, 298.0], [135.0, 298.0]], ('1.53', 0.9680117964744568)], [[[15.0, 282.0], [67.0, 282.0], [67.0, 296.0], [15.0, 296.0]], ('GRATUITY', 0.9964605569839478)], [[[12.0, 310.0], [44.0, 310.0], [44.0, 325.0], [12.0, 325.0]], ('TOTAL', 0.9982703924179077)], [[[135.0, 303.0], [208.0, 307.0], [207.0, 332.0], [134.0, 328.0]], ('30.0', 0.8740795850753784)], [[[5.0, 340.0], [79.0, 343.0], [78.0, 358.0], [5.0, 355.0]], ('ROOM NUMBER', 0.9574962854385376)], [[[1.0, 370.0], [101.0, 374.0], [100.0, 391.0], [1.0, 388.0]], ('PRINT LAST NAME', 0.9577388763427734)], [[[138.0, 364.0], [185.0, 369.0], [183.0, 392.0], [136.0, 387.0]], ('aye', 0.878143310546875)], [[[0.0, 403.0], [59.0, 405.0], [58.0, 423.0], [0.0, 421.0]], ('SIGNATURE', 0.9940584897994995)]]	{"store_name": "&&&404&&&", "store_addr": "RENAISSANCENASHVILLE", "telephone": "", "date": "21JAN'17", "time": "7:O0PM", "subtotal": "$26.00", "tax": "$2.47", "total": "$28.47", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CORONA", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ANGRYORCHARD", "item_value": "7.00", "item_quantity": "1"}, {"item_key": "", "item_name": "QUESOCHIKN", "item_value": "12.00", "item_quantity": "1"}]}
You are POS receipt data expert, parse, detect, recognize and convert following receipt OCR image result into structure receipt data object. Don't make up value not in the Input. Output must be a well-formed JSON object.```json	[[[[119.0, 30.0], [204.0, 35.0], [203.0, 50.0], [118.0, 44.0]], ('SALE RECEIPT', 0.9283307194709778)], [[[35.0, 176.0], [106.0, 176.0], [106.0, 191.0], [35.0, 191.0]], ('EGG&HAM', 0.9776090979576111)], [[[115.0, 174.0], [195.0, 184.0], [193.0, 202.0], [113.0, 192.0]], ('5r1', 0.5526612401008606)], [[[204.0, 169.0], [317.0, 160.0], [318.0, 178.0], [205.0, 187.0]], ('PRICE MEMO PLU', 0.92833411693573)], [[[216.0, 185.0], [249.0, 185.0], [249.0, 201.0], [216.0, 201.0]], ('6.30', 0.9892826676368713)], [[[294.0, 180.0], [332.0, 174.0], [334.0, 190.0], [296.0, 195.0]], ('12011', 0.9920272827148438)], [[[36.0, 192.0], [107.0, 192.0], [107.0, 206.0], [36.0, 206.0]], ('BEUERAGE', 0.9405009150505066)], [[[147.0, 196.0], [197.0, 200.0], [196.0, 215.0], [146.0, 211.0]], ('1TS', 0.5872263312339783)], [[[220.0, 201.0], [254.0, 201.0], [254.0, 216.0], [220.0, 216.0]], ('0.00', 0.9910074472427368)], [[[301.0, 192.0], [340.0, 192.0], [340.0, 206.0], [301.0, 206.0]], ('15005', 0.9533093571662903)], [[[107.0, 224.0], [189.0, 231.0], [188.0, 250.0], [106.0, 243.0]], ('SUBTOTAL$', 0.9768412113189697)], [[[226.0, 232.0], [261.0, 230.0], [262.0, 246.0], [227.0, 249.0]], ('6.30', 0.9971060752868652)], [[[100.0, 242.0], [193.0, 247.0], [192.0, 269.0], [99.0, 264.0]], ('Sales Tx $', 0.8340901136398315)], [[[228.0, 248.0], [265.0, 245.0], [266.0, 264.0], [230.0, 267.0]], ('0.38', 0.9893818497657776)], [[[41.0, 280.0], [198.0, 286.0], [197.0, 304.0], [41.0, 298.0]], ('TAKE-OUT **TOTAL$', 0.9523130059242249)], [[[237.0, 283.0], [274.0, 279.0], [276.0, 299.0], [239.0, 303.0]], ('6.68', 0.9893842935562134)], [[[40.0, 302.0], [84.0, 305.0], [83.0, 323.0], [39.0, 321.0]], ('Cash', 0.997991144657135)], [[[113.0, 306.0], [201.0, 306.0], [201.0, 323.0], [113.0, 323.0]], ('AMT TEND $', 0.8984237909317017)], [[[235.0, 303.0], [279.0, 298.0], [281.0, 317.0], [237.0, 322.0]], ('10.00', 0.9972738027572632)], [[[110.0, 348.0], [207.0, 345.0], [208.0, 363.0], [110.0, 367.0]], ('CHANGE DUE$', 0.9526035189628601)], [[[250.0, 340.0], [290.0, 335.0], [292.0, 355.0], [253.0, 360.0]], ('3.32', 0.996403694152832)], [[[187.0, 434.0], [395.0, 431.0], [395.0, 456.0], [187.0, 459.0]], ('joycescapade.com', 0.9892483353614807)]]	{"store_name": "AGLIGNINTERGARTEDSDNBHD(583469-0)", "store_addr": "Unit101.Level1uptown2.JinSS21/37 DamansaraUptown.47400PetalingJaya", "telephone": "", "date": "05/10/12", "time": "08:03:07", "subtotal": "6.30", "tax": "0.38", "total": "6.68", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "EGG&HAM", "item_value": "6.30", "item_quantity": "1"}, {"item_key": "", "item_name": "BEVERAGE", "item_value": "0.00", "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	[[[[225.0, 285.0], [321.0, 285.0], [321.0, 308.0], [225.0, 308.0]], ('Jicket', 0.6690568923950195)], [[[335.0, 280.0], [446.0, 289.0], [443.0, 320.0], [333.0, 311.0]], ('659526', 0.6333652138710022)], [[[148.0, 343.0], [260.0, 339.0], [261.0, 356.0], [149.0, 360.0]], ('to win $1000', 0.8686766624450684)], [[[146.0, 372.0], [205.0, 372.0], [205.0, 391.0], [146.0, 391.0]], ('ID', 0.9530246257781982)], [[[219.0, 372.0], [325.0, 372.0], [325.0, 390.0], [219.0, 390.0]], ('7JYKZ5V91KC', 0.991685688495636)], [[[8.0, 451.0], [82.0, 451.0], [82.0, 465.0], [8.0, 465.0]], ('chnical', 0.9818166494369507)], [[[176.0, 467.0], [409.0, 473.0], [408.0, 520.0], [175.0, 515.0]], ('Walmart', 0.9938121438026428)], [[[676.0, 462.0], [804.0, 467.0], [804.0, 492.0], [675.0, 487.0]], ('TAP200', 0.9955360293388367)], [[[175.0, 519.0], [408.0, 523.0], [408.0, 544.0], [175.0, 540.0]], ('Save money.Live better', 0.9614860415458679)], [[[226.0, 559.0], [404.0, 561.0], [404.0, 583.0], [226.0, 580.0]], ('316284-0555', 0.9653035998344421)], [[[226.0, 577.0], [404.0, 580.0], [404.0, 598.0], [226.0, 595.0]], ('MANAGER AARON ROHR', 0.9570834636688232)], [[[233.0, 595.0], [394.0, 598.0], [394.0, 615.0], [233.0, 612.0]], ('1701S KANSASRD', 0.9508470296859741)], [[[64.0, 612.0], [84.0, 612.0], [84.0, 628.0], [64.0, 628.0]], ('1x', 0.7238782048225403)], [[[233.0, 612.0], [385.0, 615.0], [385.0, 633.0], [233.0, 630.0]], ('NEWTON KS67114', 0.9150838255882263)], [[[60.0, 629.0], [83.0, 629.0], [83.0, 645.0], [60.0, 645.0]], ('3x', 0.8888726234436035)], [[[126.0, 626.0], [494.0, 633.0], [493.0, 653.0], [125.0, 646.0]], ('ST#024280P#002362 TE#04TR#01164', 0.9386754035949707)], [[[59.0, 650.0], [82.0, 656.0], [78.0, 671.0], [55.0, 665.0]], ('1', 0.9887413382530212)], [[[123.0, 644.0], [373.0, 648.0], [373.0, 669.0], [123.0, 665.0]], ('WIFI R0TUER 085021400399', 0.9441972374916077)], [[[4.0, 655.0], [49.0, 655.0], [49.0, 669.0], [4.0, 669.0]], ('ennas:', 0.9704479575157166)], [[[431.0, 651.0], [500.0, 651.0], [500.0, 669.0], [431.0, 669.0]], ('35.00T', 0.9184889793395996)], [[[298.0, 664.0], [379.0, 666.0], [378.0, 685.0], [298.0, 682.0]], ('SUBTOTAL', 0.9926632642745972)], [[[430.0, 666.0], [482.0, 669.0], [481.0, 688.0], [429.0, 685.0]], ('35.00', 0.9967865943908691)], [[[57.0, 687.0], [79.0, 691.0], [76.0, 707.0], [54.0, 703.0]], ('1X', 0.673012912273407)], [[[212.0, 682.0], [268.0, 682.0], [268.0, 701.0], [212.0, 701.0]], ('TAX1', 0.9879637956619263)], [[[289.0, 685.0], [364.0, 685.0], [364.0, 702.0], [289.0, 702.0]], ('8.500%', 0.990265429019928)], [[[437.0, 686.0], [481.0, 686.0], [481.0, 705.0], [437.0, 705.0]], ('2.98', 0.9969787001609802)], [[[329.0, 702.0], [378.0, 702.0], [378.0, 721.0], [329.0, 721.0]], ('TOTAL', 0.9983040690422058)], [[[427.0, 702.0], [482.0, 702.0], [482.0, 725.0], [427.0, 725.0]], ('37.98', 0.9931299090385437)], [[[54.0, 715.0], [77.0, 715.0], [77.0, 731.0], [54.0, 731.0]], ('1x', 0.9009352326393127)], [[[277.0, 717.0], [381.0, 720.0], [381.0, 741.0], [276.0, 739.0]], ('CASH TEND', 0.9471123218536377)], [[[779.0, 709.0], [814.0, 709.0], [814.0, 735.0], [779.0, 735.0]], ('FC', 0.9709224104881287)], [[[429.0, 721.0], [481.0, 724.0], [480.0, 744.0], [428.0, 741.0]], ('40.00', 0.9972902536392212)], [[[51.0, 734.0], [74.0, 734.0], [74.0, 750.0], [51.0, 750.0]], ('2x', 0.862657904624939)], [[[277.0, 736.0], [381.0, 739.0], [381.0, 760.0], [276.0, 757.0]], ('CHANGE DUE', 0.9549071192741394)], [[[437.0, 741.0], [481.0, 741.0], [481.0, 760.0], [437.0, 760.0]], ('2.02', 0.9974672198295593)], [[[50.0, 753.0], [73.0, 753.0], [73.0, 768.0], [50.0, 768.0]], ('1x', 0.8706775903701782)], [[[154.0, 772.0], [434.0, 776.0], [433.0, 810.0], [153.0, 806.0]], ('#ITEMS SOLD1', 0.9552991986274719)], [[[4.0, 810.0], [31.0, 810.0], [31.0, 825.0], [4.0, 825.0]], ('W-F', 0.7742490768432617)], [[[151.0, 824.0], [439.0, 829.0], [438.0, 850.0], [151.0, 845.0]], ('TC# 09206336 66893947 0450', 0.940489649772644)], [[[571.0, 830.0], [592.0, 830.0], [592.0, 840.0], [571.0, 840.0]], ('SSE', 0.9361260533332825)], [[[654.0, 837.0], [786.0, 843.0], [786.0, 860.0], [653.0, 855.0]], ('5021400399', 0.9964969754219055)], [[[571.0, 850.0], [591.0, 850.0], [591.0, 859.0], [571.0, 859.0]], ('ran', 0.9418115615844727)], [[[118.0, 894.0], [485.0, 901.0], [484.0, 926.0], [117.0, 919.0]], ('Low Prices You Can Trust. Every Day', 0.9247502088546753)], [[[190.0, 915.0], [276.0, 918.0], [276.0, 939.0], [189.0, 936.0]], ('06/16/16', 0.9964791536331177)], [[[323.0, 918.0], [407.0, 923.0], [406.0, 942.0], [322.0, 937.0]], ('18:48:10', 0.9343315362930298)], [[[107.0, 950.0], [499.0, 959.0], [498.0, 984.0], [106.0, 975.0]], ('Savings Catcher! Scan with Walmart app', 0.910566508769989)]]	{"store_name": "Walmart", "store_addr": "NEWTONKS67114 1701SKANSASRD", "telephone": "(316)284-0555", "date": "06/16/16", "time": "18:48:10", "subtotal": "35.00", "tax": "2.98", "total": "37.98", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WIFIROTUER", "item_value": "35.00", "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	[[[[158.0, 77.0], [507.0, 78.0], [507.0, 99.0], [158.0, 98.0]], ('BUY ONE GET ONE FREE QUARTER POUNDER', 0.9395971298217773)], [[[216.0, 104.0], [449.0, 104.0], [449.0, 122.0], [216.0, 122.0]], ('W/CHEESE OR EGG MCMUFFIN', 0.9445556998252869)], [[[157.0, 125.0], [507.0, 126.0], [507.0, 148.0], [157.0, 147.0]], ('Go to www.mcdvoice.com within 7 days', 0.942234992980957)], [[[194.0, 150.0], [475.0, 151.0], [475.0, 172.0], [194.0, 171.0]], ('and tell us about your visit.', 0.9445167183876038)], [[[186.0, 173.0], [345.0, 176.0], [345.0, 197.0], [185.0, 194.0]], ('Validation Code:', 0.943764328956604)], [[[164.0, 197.0], [502.0, 200.0], [502.0, 222.0], [164.0, 219.0]], ('Expires 30 days after receipt date', 0.9486053586006165)], [[[154.0, 220.0], [516.0, 223.0], [515.0, 248.0], [153.0, 245.0]], ("Valid at participating US McDonald's.", 0.9569255709648132)], [[[234.0, 249.0], [427.0, 250.0], [427.0, 269.0], [234.0, 268.0]], ('1107 EAST 4TH STREET', 0.9290132522583008)], [[[300.0, 272.0], [374.0, 272.0], [374.0, 294.0], [300.0, 294.0]], ('ONTARIO', 0.9948673844337463)], [[[317.0, 295.0], [344.0, 295.0], [344.0, 318.0], [317.0, 318.0]], ('CA', 0.9981076717376709)], [[[281.0, 321.0], [381.0, 321.0], [381.0, 340.0], [281.0, 340.0]], ('91764-2523', 0.9961541295051575)], [[[232.0, 345.0], [441.0, 345.0], [441.0, 366.0], [232.0, 366.0]], ('!THANK YOU!', 0.9016609787940979)], [[[193.0, 369.0], [482.0, 369.0], [482.0, 393.0], [193.0, 393.0]], ('TEL# 9092044590 Store#3506', 0.9658776521682739)], [[[138.0, 443.0], [205.0, 446.0], [204.0, 470.0], [137.0, 467.0]], ('KS#13', 0.9898160099983215)], [[[320.0, 446.0], [530.0, 447.0], [529.0, 469.0], [320.0, 468.0]], ("Nov.21'14 Fri13:11", 0.9216883182525635)], [[[140.0, 498.0], [380.0, 497.0], [380.0, 518.0], [140.0, 519.0]], ('MFY SIDE 1 KVS Order 08', 0.8955230116844177)], [[[137.0, 551.0], [222.0, 551.0], [222.0, 573.0], [137.0, 573.0]], ('QTY ITEM', 0.9441925287246704)], [[[484.0, 551.0], [534.0, 551.0], [534.0, 575.0], [484.0, 575.0]], ('TOTAL', 0.998685359954834)], [[[158.0, 576.0], [297.0, 578.0], [297.0, 600.0], [158.0, 598.0]], ('1 L Dr.Pepper', 0.8699531555175781)], [[[492.0, 577.0], [538.0, 577.0], [538.0, 601.0], [492.0, 601.0]], ('1.00', 0.9912829399108887)], [[[158.0, 604.0], [239.0, 604.0], [239.0, 626.0], [158.0, 626.0]], ('1 L Coke', 0.8791474103927612)], [[[493.0, 604.0], [539.0, 604.0], [539.0, 628.0], [493.0, 628.0]], ('1.00', 0.9922013282775879)], [[[156.0, 629.0], [269.0, 631.0], [268.0, 654.0], [155.0, 652.0]], ('1 McChicken', 0.9585085511207581)], [[[493.0, 631.0], [539.0, 631.0], [539.0, 656.0], [493.0, 656.0]], ('1.00', 0.9941316843032837)], [[[194.0, 657.0], [329.0, 661.0], [329.0, 682.0], [194.0, 679.0]], ('NO Mayonnaise', 0.9575735926628113)], [[[134.0, 707.0], [218.0, 710.0], [217.0, 735.0], [133.0, 732.0]], ('Subtotal', 0.9923754334449768)], [[[495.0, 714.0], [542.0, 714.0], [542.0, 738.0], [495.0, 738.0]], ('3.00', 0.9972554445266724)], [[[155.0, 734.0], [191.0, 737.0], [189.0, 763.0], [153.0, 760.0]], ('Tax', 0.9952569007873535)], [[[494.0, 741.0], [543.0, 741.0], [543.0, 768.0], [494.0, 768.0]], ('0.24', 0.9926460981369019)], [[[138.0, 788.0], [278.0, 794.0], [277.0, 819.0], [137.0, 813.0]], ('Take-Out Total', 0.9381476640701294)], [[[496.0, 796.0], [545.0, 796.0], [545.0, 824.0], [496.0, 824.0]], ('3.24', 0.9941354393959045)], [[[136.0, 841.0], [220.0, 847.0], [218.0, 872.0], [134.0, 866.0]], ('Cashless', 0.989519476890564)], [[[496.0, 853.0], [547.0, 853.0], [547.0, 880.0], [496.0, 880.0]], ('3.24', 0.9960038661956787)], [[[136.0, 867.0], [201.0, 873.0], [199.0, 899.0], [134.0, 893.0]], ('Change', 0.9985709190368652)], [[[496.0, 882.0], [547.0, 882.0], [547.0, 909.0], [496.0, 909.0]], ('0.00', 0.9965506196022034)], [[[137.0, 923.0], [269.0, 931.0], [267.0, 952.0], [136.0, 944.0]], ('MER#49701402', 0.9957075119018555)], [[[138.0, 948.0], [251.0, 957.0], [249.0, 979.0], [136.0, 970.0]], ('CARD ISSUER', 0.9762536883354187)], [[[350.0, 961.0], [440.0, 966.0], [439.0, 992.0], [349.0, 987.0]], ('ACCOUNT#', 0.9956633448600769)], [[[137.0, 975.0], [230.0, 980.0], [229.0, 999.0], [136.0, 997.0]], ('Visa SALE', 0.9230717420578003)]]	{"store_name": "", "store_addr": "1107EAST4THSTREET ONTARIO CA", "telephone": "91764-2523 9092044590", "date": "Nov.21'14(Fri)", "time": "13:11", "subtotal": "3.00", "tax": "0.24", "total": "3.24 3.24", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LDr.Pepper", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LCoke", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "McChicken", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "NOMayonnaise", "item_value": "", "item_quantity": ""}, {"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	[[[[92.0, 12.0], [158.0, 12.0], [158.0, 21.0], [92.0, 21.0]], ('17049 New.Brenan', 0.7903102040290833)], [[[93.0, 5.0], [160.0, 5.0], [160.0, 16.0], [93.0, 16.0]], ('Dzora Travel Plaza', 0.8369330763816833)], [[[79.0, 21.0], [175.0, 21.0], [175.0, 30.0], [79.0, 30.0]], ('SAINTE GEMEVIEVE MO 63670', 0.8558672070503235)], [[[50.0, 47.0], [107.0, 47.0], [107.0, 58.0], [50.0, 58.0]], ('<CUSTOMER COPY>', 0.8887848258018494)], [[[55.0, 65.0], [100.0, 65.0], [100.0, 76.0], [55.0, 76.0]], ('Description', 0.9867665767669678)], [[[137.0, 65.0], [154.0, 65.0], [154.0, 77.0], [137.0, 77.0]], ('Qty', 0.9803723692893982)], [[[174.0, 65.0], [201.0, 65.0], [201.0, 76.0], [174.0, 76.0]], ('Ascunt', 0.8887669444084167)], [[[52.0, 82.0], [79.0, 84.0], [78.0, 95.0], [51.0, 92.0]], ('Sides', 0.9751814603805542)], [[[53.0, 93.0], [117.0, 93.0], [117.0, 104.0], [53.0, 104.0]], ('Rhole Pork Steak', 0.8637820482254028)], [[[146.0, 84.0], [153.0, 84.0], [153.0, 94.0], [146.0, 94.0]], ('1', 0.8743011355400085)], [[[178.0, 93.0], [201.0, 93.0], [201.0, 104.0], [178.0, 104.0]], ('12.64', 0.9764682054519653)], [[[180.0, 84.0], [201.0, 84.0], [201.0, 96.0], [180.0, 96.0]], ('1.00', 0.9854421615600586)], [[[47.0, 100.0], [80.0, 103.0], [80.0, 114.0], [47.0, 111.0]], ('3 Ribo', 0.8662586808204651)], [[[147.0, 95.0], [152.0, 95.0], [152.0, 102.0], [147.0, 102.0]], ('1', 0.7849529981613159)], [[[40.0, 108.0], [77.0, 112.0], [75.0, 124.0], [39.0, 121.0]], ('1 Sides', 0.8594960570335388)], [[[181.0, 103.0], [201.0, 103.0], [201.0, 114.0], [181.0, 114.0]], ('5.74', 0.994526743888855)], [[[41.0, 121.0], [51.0, 121.0], [51.0, 129.0], [41.0, 129.0]], ('I.', 0.5234748125076294)], [[[48.0, 120.0], [75.0, 120.0], [75.0, 131.0], [48.0, 131.0]], ('Sides', 0.9925505518913269)], [[[147.0, 114.0], [152.0, 114.0], [152.0, 120.0], [147.0, 120.0]], ('1', 0.773850679397583)], [[[182.0, 112.0], [201.0, 112.0], [201.0, 123.0], [182.0, 123.0]], ('1.00', 0.9895172119140625)], [[[48.0, 129.0], [90.0, 131.0], [89.0, 142.0], [48.0, 139.0]], ('440ZS0A', 0.7480899095535278)], [[[182.0, 120.0], [203.0, 123.0], [201.0, 134.0], [180.0, 131.0]], ('1.00', 0.990124523639679)], [[[182.0, 132.0], [202.0, 132.0], [202.0, 144.0], [182.0, 144.0]], ('1.19', 0.990848958492279)], [[[113.0, 149.0], [149.0, 152.0], [148.0, 162.0], [112.0, 160.0]], ('Subtotal', 0.987269937992096)], [[[178.0, 151.0], [202.0, 151.0], [202.0, 163.0], [178.0, 163.0]], ('22.57', 0.9814454913139343)], [[[80.0, 168.0], [121.0, 170.0], [121.0, 183.0], [79.0, 180.0]], ('TOTAL', 0.9985619783401489)], [[[131.0, 161.0], [149.0, 161.0], [149.0, 173.0], [131.0, 173.0]], ('Tax', 0.9951648712158203)], [[[160.0, 169.0], [205.0, 171.0], [205.0, 185.0], [159.0, 182.0]], ('24.31', 0.9942218661308289)], [[[180.0, 161.0], [203.0, 161.0], [203.0, 173.0], [180.0, 173.0]], ('1.74', 0.9903997778892517)], [[[123.0, 189.0], [163.0, 192.0], [163.0, 205.0], [122.0, 203.0]], ('DEBIT $', 0.8636059761047363)], [[[127.0, 180.0], [163.0, 180.0], [163.0, 193.0], [127.0, 193.0]], ('CASH$', 0.900547206401825)], [[[178.0, 183.0], [205.0, 183.0], [205.0, 195.0], [178.0, 195.0]], ('24.00', 0.9948064684867859)], [[[182.0, 193.0], [205.0, 193.0], [205.0, 205.0], [182.0, 205.0]], ('0.31', 0.992221474647522)], [[[28.0, 221.0], [88.0, 223.0], [88.0, 236.0], [27.0, 234.0]], ('Debit $0.31', 0.9223007559776306)], [[[27.0, 232.0], [153.0, 236.0], [152.0, 249.0], [26.0, 245.0]], ('Payment from Primary Account', 0.9060514569282532)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "22.57", "tax": "1.74", "total": "24.31", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Sides", "item_value": "1.19", "item_quantity": "1"}, {"item_key": "", "item_name": "Sides", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "3Ribo", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Sides", "item_value": "5.74", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "12.64", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.00", "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	[[[[1451.0, 131.0], [1677.0, 106.0], [1686.0, 178.0], [1459.0, 203.0]], ('Bar', 0.9930872917175293)], [[[640.0, 272.0], [1370.0, 146.0], [1382.0, 214.0], [652.0, 341.0]], ('Grill&sushi', 0.8211658000946045)], [[[789.0, 316.0], [1283.0, 242.0], [1294.0, 310.0], [799.0, 384.0]], ('Hisma Atria L4', 0.9070886373519897)], [[[762.0, 390.0], [1319.0, 324.0], [1328.0, 392.0], [771.0, 458.0]], ('435 Orchard Road', 0.9548231363296509)], [[[697.0, 481.0], [1358.0, 412.0], [1365.0, 481.0], [704.0, 550.0]], ('#04-02/14,304-32/33', 0.9727605581283569)], [[[756.0, 560.0], [1330.0, 504.0], [1338.0, 583.0], [763.0, 638.0]], ('Singapore 238877', 0.9715406894683838)], [[[700.0, 658.0], [1362.0, 603.0], [1368.0, 675.0], [707.0, 730.0]], ('GST No.:M90360888E', 0.9295704960823059)], [[[770.0, 743.0], [1332.0, 706.0], [1337.0, 777.0], [775.0, 814.0]], ('For Reservation,', 0.9587600827217102)], [[[680.0, 838.0], [1414.0, 784.0], [1421.0, 865.0], [686.0, 920.0]], ('Please Ca11 6836 0609', 0.914818286895752)], [[[1153.0, 984.0], [1777.0, 940.0], [1782.0, 1012.0], [1158.0, 1055.0]], ('1231 St23-Cashier1', 0.9779887795448303)], [[[408.0, 1035.0], [747.0, 1008.0], [753.0, 1080.0], [414.0, 1107.0]], ('57 Sta1123', 0.9229893684387207)], [[[1539.0, 1184.0], [1791.0, 1165.0], [1796.0, 1227.0], [1544.0, 1246.0]], ('Cover:0', 0.959206223487854)], [[[450.0, 1202.0], [1233.0, 1150.0], [1240.0, 1256.0], [457.0, 1308.0]], ('Check:283790', 0.9784894585609436)], [[[767.0, 1293.0], [1412.0, 1247.0], [1417.0, 1305.0], [771.0, 1351.0]], ('241521:23:58', 0.9341222643852234)], [[[1483.0, 1372.0], [1678.0, 1355.0], [1685.0, 1430.0], [1490.0, 1447.0]], ('84.00', 0.9213581085205078)], [[[510.0, 1429.0], [1350.0, 1383.0], [1354.0, 1444.0], [513.0, 1490.0]], ('M19 SHI0K! Maki @16.80', 0.8517894744873047)], [[[414.0, 1445.0], [459.0, 1445.0], [459.0, 1496.0], [414.0, 1496.0]], ('5', 0.997617781162262)], [[[1487.0, 1450.0], [1687.0, 1437.0], [1691.0, 1508.0], [1492.0, 1521.0]], ('33.60', 0.9950016140937805)], [[[403.0, 1510.0], [452.0, 1510.0], [452.0, 1567.0], [403.0, 1567.0]], ('2', 0.9949859380722046)], [[[503.0, 1503.0], [1427.0, 1458.0], [1430.0, 1516.0], [506.0, 1562.0]], ('M25 SHI0K! 2nd Maki @16.80', 0.8881511688232422)], [[[1501.0, 1528.0], [1694.0, 1519.0], [1698.0, 1594.0], [1505.0, 1602.0]], ('16.00', 0.9966831207275391)], [[[396.0, 1588.0], [445.0, 1588.0], [445.0, 1646.0], [396.0, 1646.0]], ('2', 0.9964522123336792)], [[[489.0, 1579.0], [1291.0, 1543.0], [1295.0, 1611.0], [492.0, 1647.0]], ('S32 Sake Sashimi @8.00', 0.9515230059623718)], [[[1508.0, 1609.0], [1698.0, 1600.0], [1702.0, 1685.0], [1512.0, 1694.0]], ('10.00', 0.997697651386261)], [[[389.0, 1669.0], [435.0, 1669.0], [435.0, 1727.0], [389.0, 1727.0]], ('1', 0.9893001317977905)], [[[489.0, 1660.0], [895.0, 1645.0], [898.0, 1716.0], [492.0, 1731.0]], ('Ebi Tempura', 0.968319833278656)], [[[1539.0, 1701.0], [1704.0, 1692.0], [1709.0, 1770.0], [1544.0, 1779.0]], ('9.00', 0.9971837997436523)], [[[1252.0, 1714.0], [1450.0, 1714.0], [1450.0, 1785.0], [1252.0, 1785.0]], ('@3.00', 0.9939764738082886)], [[[382.0, 1754.0], [438.0, 1754.0], [438.0, 1826.0], [382.0, 1826.0]], ('3', 0.9977372884750366)], [[[489.0, 1748.0], [1222.0, 1720.0], [1225.0, 1791.0], [492.0, 1820.0]], ('Y17 Enoki Buta Maki', 0.9366180300712585)], [[[1515.0, 1797.0], [1707.0, 1784.0], [1712.0, 1862.0], [1520.0, 1875.0]], ('10.00', 0.9977431297302246)], [[[493.0, 1837.0], [941.0, 1822.0], [943.0, 1893.0], [495.0, 1908.0]], ('A4 Yaki Udon', 0.9531593322753906)], [[[389.0, 1850.0], [435.0, 1850.0], [435.0, 1904.0], [389.0, 1904.0]], ('1', 0.9836592674255371)], [[[1519.0, 1884.0], [1712.0, 1876.0], [1715.0, 1955.0], [1522.0, 1963.0]], ('10.00', 0.9981669187545776)], [[[396.0, 1938.0], [438.0, 1938.0], [438.0, 1996.0], [396.0, 1996.0]], ('1', 0.9892677664756775)], [[[500.0, 1929.0], [1194.0, 1900.0], [1197.0, 1971.0], [503.0, 2000.0]], ('A23 Seafood Chaahan', 0.9566944241523743)], [[[1553.0, 1970.0], [1718.0, 1961.0], [1723.0, 2039.0], [1558.0, 2048.0]], ('3.00', 0.9983358383178711)], [[[400.0, 2026.0], [456.0, 2026.0], [456.0, 2094.0], [400.0, 2094.0]], ('2', 0.9874843955039978)], [[[503.0, 2017.0], [1163.0, 1988.0], [1166.0, 2059.0], [506.0, 2089.0]], ('Iced Grn Tea @1.50', 0.9371393918991089)], [[[1553.0, 2058.0], [1718.0, 2049.0], [1723.0, 2120.0], [1557.0, 2130.0]], ('2.00', 0.9979549050331116)], [[[410.0, 2115.0], [452.0, 2115.0], [452.0, 2169.0], [410.0, 2169.0]], ('1', 0.9923858642578125)], [[[510.0, 2106.0], [884.0, 2086.0], [888.0, 2158.0], [514.0, 2177.0]], ('Pepsi Cola', 0.9518861770629883)], [[[1491.0, 2139.0], [1716.0, 2131.0], [1719.0, 2202.0], [1494.0, 2211.0]], ('190.05', 0.9969751834869385)], [[[524.0, 2187.0], [926.0, 2168.0], [930.0, 2240.0], [527.0, 2259.0]], ('Credit Card', 0.9830997586250305)], [[[1648.0, 2298.0], [1739.0, 2298.0], [1739.0, 2373.0], [1648.0, 2373.0]], ('18', 0.9976059198379517)], [[[524.0, 2368.0], [1103.0, 2335.0], [1107.0, 2406.0], [528.0, 2439.0]], ('Total item sold:', 0.9418537020683289)], [[[1515.0, 2394.0], [1746.0, 2382.0], [1750.0, 2458.0], [1519.0, 2470.0]], ('177.60', 0.9918155670166016)], [[[513.0, 2460.0], [887.0, 2437.0], [892.0, 2511.0], [518.0, 2534.0]], ('Sub Total:', 0.9277674555778503)], [[[1556.0, 2481.0], [1761.0, 2464.0], [1769.0, 2552.0], [1563.0, 2569.0]], ('12.45', 0.9954547882080078)], [[[503.0, 2548.0], [897.0, 2525.0], [902.0, 2606.0], [508.0, 2630.0]], ('GST Add On', 0.9521908760070801)], [[[1535.0, 2579.0], [1772.0, 2562.0], [1779.0, 2650.0], [1542.0, 2668.0]], ('190.05', 0.9963269829750061)], [[[499.0, 2647.0], [732.0, 2630.0], [739.0, 2718.0], [506.0, 2735.0]], ('Total:', 0.9852502942085266)], [[[1546.0, 2681.0], [1787.0, 2668.0], [1792.0, 2753.0], [1551.0, 2766.0]], ('190.05', 0.9977834224700928)], [[[494.0, 2747.0], [664.0, 2747.0], [664.0, 2836.0], [494.0, 2836.0]], ('Pay:', 0.9894577860832214)], [[[475.0, 2858.0], [1777.0, 2776.0], [1782.0, 2858.0], [480.0, 2939.0]], ('1231CL0SED2415212454', 0.9726052284240723)], [[[617.0, 2956.0], [1693.0, 2892.0], [1699.0, 2973.0], [622.0, 3038.0]], ('Thank You Please Come Again', 0.949709415435791)]]	{"store_name": "KohGrill&SushiBar", "store_addr": "WismaAtriaL4 435OrchardRoad #04-02/14,304-32/33 Singapore238877", "telephone": "68360609", "date": "", "time": "21:23:58 21:24:54", "subtotal": "177.60", "tax": "12.45", "total": "190.05", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "M19SHIOK!!!Maki", "item_value": "84.00", "item_quantity": "1"}, {"item_key": "", "item_name": "M25SHIOK!2ndMaki", "item_value": "33.60", "item_quantity": "1"}, {"item_key": "", "item_name": "S32SakeSashimi", "item_value": "16.00", "item_quantity": "1"}, {"item_key": "", "item_name": "EbiTempura", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Y17EnokiButaMaki", "item_value": "9.00", "item_quantity": "1"}, {"item_key": "", "item_name": "A4YakiUdon", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "A23SeafoodChaahan", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "IcedGrnTea", "item_value": "3.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PepsiCola", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CreditCard", "item_value": "190.05", "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	[[[[55.0, 45.0], [279.0, 38.0], [279.0, 52.0], [56.0, 58.0]], ('EFEWOERESTAURACION S.L.CIF:B 93.006.484', 0.8924777507781982)], [[[75.0, 56.0], [243.0, 52.0], [243.0, 66.0], [75.0, 70.0]], ('Avda.Pintor Sorolla N 10-2 A', 0.9039495587348938)], [[[120.0, 67.0], [200.0, 64.0], [201.0, 78.0], [121.0, 81.0]], ('29016-MALAGA', 0.9616301655769348)], [[[58.0, 91.0], [147.0, 91.0], [147.0, 105.0], [58.0, 105.0]], ('Mesa002 SALON', 0.9444678425788879)], [[[186.0, 90.0], [262.0, 87.0], [262.0, 101.0], [186.0, 104.0]], ('Comensales 4', 0.9358550906181335)], [[[60.0, 115.0], [203.0, 114.0], [203.0, 128.0], [60.0, 129.0]], ('Factura Siaplif icada Pdte.', 0.9138702750205994)], [[[60.0, 128.0], [206.0, 125.0], [206.0, 139.0], [60.0, 141.0]], ('JUE26MAR20152110:02', 0.9545251727104187)], [[[231.0, 124.0], [276.0, 124.0], [276.0, 138.0], [231.0, 138.0]], ('CAJA 1', 0.9180886745452881)], [[[45.0, 153.0], [139.0, 152.0], [139.0, 166.0], [46.0, 167.0]], ('Unl. Descripcion', 0.8668167591094971)], [[[214.0, 150.0], [286.0, 149.0], [286.0, 164.0], [215.0, 165.0]], ('P.Uni. Total', 0.9016774296760559)], [[[48.0, 179.0], [139.0, 179.0], [139.0, 193.0], [48.0, 193.0]], ('ENTRADAS CAL IEN', 0.9225058555603027)], [[[64.0, 193.0], [142.0, 193.0], [142.0, 207.0], [64.0, 207.0]], ('1 1/2H GULAS', 0.914954662322998)], [[[221.0, 191.0], [250.0, 191.0], [250.0, 206.0], [221.0, 206.0]], ('5.90', 0.953743040561676)], [[[263.0, 190.0], [293.0, 190.0], [293.0, 205.0], [263.0, 205.0]], ('5.90', 0.9403917789459229)], [[[45.0, 207.0], [91.0, 207.0], [91.0, 220.0], [45.0, 220.0]], ('BEBIDAS', 0.9952138066291809)], [[[59.0, 220.0], [100.0, 220.0], [100.0, 234.0], [59.0, 234.0]], ('1AGUA', 0.9274470210075378)], [[[222.0, 218.0], [252.0, 218.0], [252.0, 233.0], [222.0, 233.0]], ('1.50', 0.9875137805938721)], [[[266.0, 218.0], [296.0, 218.0], [296.0, 232.0], [266.0, 232.0]], ('1.50', 0.9060753583908081)], [[[43.0, 235.0], [75.0, 235.0], [75.0, 249.0], [43.0, 249.0]], ('TAPAS', 0.995272159576416)], [[[56.0, 248.0], [195.0, 247.0], [195.0, 261.0], [56.0, 262.0]], ('1 TAPA FIDEOS TOSTADOS', 0.9183912873268127)], [[[223.0, 247.0], [254.0, 247.0], [254.0, 262.0], [223.0, 262.0]], ('2.90', 0.9283629655838013)], [[[268.0, 245.0], [299.0, 248.0], [298.0, 263.0], [267.0, 261.0]], ('2,90', 0.8787396550178528)], [[[56.0, 263.0], [207.0, 263.0], [207.0, 276.0], [56.0, 276.0]], ('1.TAPA CHISTORRA SAL TEAD', 0.9172926545143127)], [[[222.0, 263.0], [254.0, 263.0], [254.0, 278.0], [222.0, 278.0]], ('2.20', 0.9114443063735962)], [[[271.0, 263.0], [302.0, 263.0], [302.0, 279.0], [271.0, 279.0]], ('2.20', 0.9138541221618652)], [[[34.0, 280.0], [74.0, 280.0], [74.0, 294.0], [34.0, 294.0]], ('CARNES', 0.9963628649711609)], [[[49.0, 295.0], [159.0, 295.0], [159.0, 308.0], [49.0, 308.0]], ('1.1/2 TIRAS PRESA', 0.8934552073478699)], [[[226.0, 296.0], [256.0, 296.0], [256.0, 311.0], [226.0, 311.0]], ('6.80', 0.98261559009552)], [[[273.0, 293.0], [307.0, 296.0], [305.0, 315.0], [271.0, 312.0]], ('6,80', 0.8796926140785217)]]	{"store_name": "", "store_addr": "Avda.PintorSorollaN10-2A 29016-MALAGA", "telephone": "", "date": "JUE26MAR2015", "time": "21:10:02", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "1/2HGULAS", "item_value": "5,90", "item_quantity": "1"}, {"item_key": "", "item_name": "AGUA", "item_value": "1,50", "item_quantity": "1"}, {"item_key": "", "item_name": "TAPAFIDEOSTOSTADOS", "item_value": "2,90", "item_quantity": "1"}, {"item_key": "", "item_name": "TAPACHISTORRASALTEAD", "item_value": "2,20", "item_quantity": "1"}, {"item_key": "", "item_name": "1/2TIRASPRESA", "item_value": "6,80", "item_quantity": "1"}, {"item_key": "Uni.Descripcion", "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	[[[[117.0, 6.0], [216.0, 6.0], [216.0, 30.0], [117.0, 30.0]], ('H-E-B', 0.8536980748176575)], [[[83.0, 59.0], [158.0, 57.0], [158.0, 71.0], [83.0, 73.0]], ('CUOMBERS12', 0.7274731397628784)], [[[215.0, 57.0], [229.0, 57.0], [229.0, 70.0], [215.0, 70.0]], ('Fw', 0.7171615958213806)], [[[239.0, 57.0], [264.0, 57.0], [264.0, 72.0], [239.0, 72.0]], ('0.66', 0.6955034136772156)], [[[83.0, 71.0], [210.0, 67.0], [210.0, 81.0], [83.0, 85.0]], ('GRANGE BELL POPPERS TOCT', 0.8310450911521912)], [[[216.0, 69.0], [231.0, 69.0], [231.0, 81.0], [216.0, 81.0]], ('FW', 0.732189953327179)], [[[71.0, 86.0], [85.0, 86.0], [85.0, 94.0], [71.0, 94.0]], ('30', 0.6145292520523071)], [[[83.0, 83.0], [140.0, 81.0], [140.0, 94.0], [83.0, 96.0]], ('JICAMA.40', 0.8583805561065674)], [[[85.0, 94.0], [152.0, 92.0], [152.0, 106.0], [85.0, 108.0]], ('1.', 0.6980264186859131)], [[[191.0, 91.0], [232.0, 91.0], [232.0, 106.0], [191.0, 106.0]], ('0.93', 0.9182454347610474)], [[[242.0, 90.0], [266.0, 90.0], [266.0, 106.0], [242.0, 106.0]], ('1.39', 0.958566427230835)], [[[72.0, 110.0], [82.0, 110.0], [82.0, 118.0], [72.0, 118.0]], ('4', 0.8265277743339539)], [[[85.0, 107.0], [161.0, 104.0], [161.0, 118.0], [85.0, 121.0]], ('YELLOW BANANAS', 0.9300309419631958)], [[[87.0, 119.0], [152.0, 117.0], [152.0, 130.0], [87.0, 132.0]], ('0.91Lbs', 0.8672484755516052)], [[[192.0, 116.0], [232.0, 116.0], [232.0, 131.0], [192.0, 131.0]], ('0.48', 0.8476365208625793)], [[[240.0, 116.0], [266.0, 113.0], [268.0, 127.0], [242.0, 130.0]], ('0.44', 0.9801246523857117)], [[[85.0, 131.0], [173.0, 128.0], [173.0, 142.0], [85.0, 145.0]], ('SMALL LEMONS 200', 0.8323734998703003)], [[[111.0, 143.0], [154.0, 143.0], [154.0, 157.0], [111.0, 157.0]], ('3', 0.9019531607627869)], [[[194.0, 141.0], [235.0, 141.0], [235.0, 155.0], [194.0, 155.0]], ('1.00', 0.9679983854293823)], [[[243.0, 139.0], [269.0, 139.0], [269.0, 154.0], [243.0, 154.0]], ('1.00', 0.9305153489112854)], [[[86.0, 156.0], [134.0, 154.0], [134.0, 168.0], [86.0, 170.0]], ('SHALLOTS', 0.9411311149597168)], [[[92.0, 168.0], [157.0, 166.0], [157.0, 180.0], [92.0, 182.0]], ('0.11Lbs', 0.8639990091323853)], [[[192.0, 166.0], [234.0, 164.0], [235.0, 178.0], [193.0, 180.0]], ('2.98', 0.8977339267730713)], [[[244.0, 164.0], [269.0, 164.0], [269.0, 179.0], [244.0, 179.0]], ('0.33', 0.9871006011962891)], [[[306.0, 164.0], [324.0, 164.0], [324.0, 184.0], [306.0, 184.0]], ('4', 0.7960454821586609)], [[[86.0, 181.0], [210.0, 178.0], [210.0, 192.0], [86.0, 195.0]], ('SMAVOCADOS R SIZE', 0.8224363923072815)], [[[105.0, 193.0], [180.0, 191.0], [180.0, 205.0], [105.0, 207.0]], ('1.2', 0.6404779553413391)], [[[196.0, 191.0], [236.0, 189.0], [237.0, 203.0], [197.0, 205.0]], ('1.01', 0.8339440822601318)], [[[246.0, 189.0], [271.0, 189.0], [271.0, 204.0], [246.0, 204.0]], ('0.50', 0.9086447954177856)], [[[75.0, 207.0], [145.0, 204.0], [145.0, 218.0], [75.0, 221.0]], ('NECTARINES', 0.9510442614555359)], [[[99.0, 219.0], [157.0, 217.0], [157.0, 231.0], [99.0, 233.0]], ('97890', 0.7983952760696411)], [[[199.0, 215.0], [237.0, 215.0], [237.0, 230.0], [199.0, 230.0]], ('1.67', 0.9017133712768555)], [[[248.0, 213.0], [272.0, 213.0], [272.0, 228.0], [248.0, 228.0]], ('1.14', 0.9392806887626648)], [[[77.0, 232.0], [152.0, 232.0], [152.0, 243.0], [77.0, 243.0]], ('9SALA APPLES', 0.9306447505950928)], [[[102.0, 244.0], [158.0, 244.0], [158.0, 255.0], [102.0, 255.0]], ('0.91', 0.9548597931861877)], [[[199.0, 240.0], [238.0, 240.0], [238.0, 254.0], [199.0, 254.0]], ('1.67W', 0.7679048180580139)], [[[249.0, 238.0], [273.0, 238.0], [273.0, 253.0], [249.0, 253.0]], ('1.52', 0.9612610340118408)], [[[77.0, 255.0], [198.0, 253.0], [198.0, 267.0], [77.0, 269.0]], ('10MACINTSAPPLS 4', 0.8716124296188354)], [[[247.0, 264.0], [273.0, 261.0], [275.0, 275.0], [249.0, 278.0]], ('0.71', 0.9632099270820618)], [[[77.0, 281.0], [199.0, 276.0], [199.0, 290.0], [77.0, 295.0]], ('115MNAVEL CRANS30', 0.7362619042396545)], [[[114.0, 292.0], [184.0, 289.0], [184.0, 303.0], [114.0, 306.0]], ('5.5/', 0.7903504967689514)], [[[202.0, 287.0], [241.0, 287.0], [241.0, 301.0], [202.0, 301.0]], ('1.00', 0.8540131449699402)], [[[252.0, 285.0], [276.0, 285.0], [276.0, 300.0], [252.0, 300.0]], ('1.00', 0.8602984547615051)], [[[78.0, 305.0], [209.0, 300.0], [209.0, 314.0], [78.0, 319.0]], ('12 ROASTEDSATEDA', 0.8164197206497192)], [[[226.0, 301.0], [234.0, 299.0], [238.0, 310.0], [229.0, 313.0]], ('F', 0.9188178181648254)], [[[254.0, 299.0], [276.0, 299.0], [276.0, 311.0], [254.0, 311.0]], ('3.40', 0.8857548832893372)], [[[78.0, 318.0], [206.0, 313.0], [206.0, 326.0], [78.0, 331.0]], ('13FULLPNT BLLBERRES', 0.7357796430587769)], [[[253.0, 309.0], [277.0, 309.0], [277.0, 324.0], [253.0, 324.0]], ('1.97', 0.9663732051849365)], [[[78.0, 330.0], [194.0, 325.0], [194.0, 339.0], [78.0, 344.0]], ('14GAPETOMATOESP1', 0.749386191368103)], [[[226.0, 325.0], [240.0, 320.0], [245.0, 334.0], [231.0, 339.0]], ('EW', 0.5928752422332764)], [[[252.0, 322.0], [277.0, 319.0], [279.0, 333.0], [254.0, 336.0]], ('2.36', 0.8869386911392212)], [[[226.0, 336.0], [238.0, 333.0], [242.0, 348.0], [230.0, 351.0]], ('F', 0.9028393626213074)], [[[255.0, 332.0], [279.0, 332.0], [279.0, 348.0], [255.0, 348.0]], ('0.67', 0.958869457244873)], [[[79.0, 343.0], [191.0, 336.0], [192.0, 350.0], [80.0, 357.0]], ('15CURLY LEAF PAREY', 0.8523104786872864)], [[[79.0, 356.0], [201.0, 349.0], [202.0, 363.0], [80.0, 370.0]], ('16BUNCHD REDRAISHES', 0.77508944272995)], [[[230.0, 348.0], [243.0, 348.0], [243.0, 361.0], [230.0, 361.0]], ('FH', 0.8658591508865356)], [[[253.0, 347.0], [279.0, 344.0], [281.0, 357.0], [255.0, 360.0]], ('0.98', 0.863867998123169)], [[[79.0, 368.0], [192.0, 362.0], [193.0, 376.0], [80.0, 382.0]], ('17ER8S MINCELLO', 0.7757152915000916)], [[[204.0, 373.0], [240.0, 371.0], [241.0, 385.0], [205.0, 387.0]], ('1.96F', 0.7892478704452515)], [[[258.0, 369.0], [281.0, 369.0], [281.0, 385.0], [258.0, 385.0]], ('3.5', 0.7176721096038818)], [[[119.0, 379.0], [191.0, 375.0], [192.0, 389.0], [120.0, 393.0]], ('2a.1', 0.6870739459991455)], [[[80.0, 394.0], [239.0, 384.0], [240.0, 398.0], [81.0, 408.0]], ('18 SOURCOUGH SQRE12LOAF', 0.7432437539100647)], [[[259.0, 394.0], [283.0, 394.0], [283.0, 410.0], [259.0, 410.0]], ('2.42', 0.9594923257827759)], [[[80.0, 407.0], [192.0, 399.0], [193.0, 413.0], [81.0, 421.0]], ('19HEBPITEDPUNES', 0.7980655431747437)], [[[259.0, 407.0], [284.0, 407.0], [284.0, 423.0], [259.0, 423.0]], ('1.94', 0.9841828346252441)], [[[81.0, 420.0], [214.0, 411.0], [215.0, 424.0], [82.0, 433.0]], ('20 BARLA PLUS SPA', 0.8567432165145874)], [[[260.0, 420.0], [285.0, 420.0], [285.0, 435.0], [260.0, 435.0]], ('2.94', 0.9638106226921082)], [[[81.0, 432.0], [216.0, 424.0], [217.0, 437.0], [82.0, 445.0]], ('21 SCUODERCRNCHYPNUTBTR', 0.7899931073188782)], [[[261.0, 433.0], [286.0, 433.0], [286.0, 448.0], [261.0, 448.0]], ('2.48', 0.9577369093894958)], [[[82.0, 444.0], [233.0, 435.0], [234.0, 449.0], [83.0, 458.0]], ('22HEB CDFASHIONED GATS 42', 0.8234977126121521)], [[[262.0, 446.0], [287.0, 446.0], [287.0, 461.0], [262.0, 461.0]], ('2.44', 0.9555087089538574)], [[[84.0, 457.0], [243.0, 448.0], [244.0, 462.0], [85.0, 471.0]], ('23 NV CRUNCHY BAR VARIETY PA F', 0.8501144647598267)], [[[262.0, 458.0], [287.0, 458.0], [287.0, 474.0], [262.0, 474.0]], ('2.99', 0.9880145192146301)], [[[84.0, 469.0], [213.0, 463.0], [213.0, 477.0], [84.0, 483.0]], ('24 CENTRAL MARKEI BULR', 0.8105810284614563)], [[[263.0, 472.0], [288.0, 472.0], [288.0, 488.0], [263.0, 488.0]], ('1.12', 0.8994839191436768)], [[[85.0, 482.0], [182.0, 477.0], [183.0, 491.0], [86.0, 496.0]], ('25 ORGANIC POPCOEN', 0.8792777061462402)], [[[84.0, 495.0], [208.0, 490.0], [208.0, 504.0], [84.0, 509.0]], ('26 ANGEL SOFTTE 4OR', 0.8332969546318054)], [[[238.0, 489.0], [246.0, 489.0], [246.0, 500.0], [238.0, 500.0]], ('I', 0.7454604506492615)], [[[263.0, 486.0], [289.0, 486.0], [289.0, 501.0], [263.0, 501.0]], ('2.00', 0.989549994468689)], [[[83.0, 509.0], [213.0, 503.0], [213.0, 517.0], [83.0, 523.0]], ('27 HEB 5GROUND TURKEY', 0.8528296947479248)], [[[263.0, 500.0], [288.0, 497.0], [290.0, 512.0], [264.0, 515.0]], ('2.77', 0.943432092666626)], [[[83.0, 522.0], [236.0, 515.0], [236.0, 529.0], [83.0, 536.0]], ('28HEB VITAMIN D 5000IU SFTG', 0.8386470675468445)], [[[265.0, 513.0], [302.0, 513.0], [302.0, 528.0], [265.0, 528.0]], ('5.40', 0.9696375131607056)], [[[83.0, 535.0], [232.0, 530.0], [232.0, 544.0], [83.0, 549.0]], ('29 HEB LG GRADE AA 6CT EGGS', 0.8900237083435059)], [[[238.0, 531.0], [246.0, 531.0], [246.0, 540.0], [238.0, 540.0]], ('E', 0.6206157207489014)], [[[265.0, 526.0], [290.0, 526.0], [290.0, 542.0], [265.0, 542.0]], ('1.41', 0.9618561267852783)], [[[83.0, 562.0], [240.0, 555.0], [240.0, 571.0], [83.0, 578.0]], ('* Sale Subtot', 0.717660665512085)], [[[249.0, 555.0], [281.0, 553.0], [282.0, 567.0], [250.0, 569.0]], ('53.11', 0.9890087246894836)], [[[113.0, 574.0], [170.0, 574.0], [170.0, 591.0], [113.0, 591.0]], ('Sales Tax', 0.9334700107574463)], [[[204.0, 571.0], [233.0, 569.0], [234.0, 583.0], [205.0, 585.0]], ('0.17', 0.9526129364967346)], [[[248.0, 580.0], [283.0, 578.0], [284.0, 593.0], [249.0, 595.0]], ('53.28', 0.968256950378418)], [[[84.0, 591.0], [238.0, 582.0], [239.0, 596.0], [85.0, 605.0]], ('******* Tota Sale', 0.6641358733177185)], [[[89.0, 602.0], [136.0, 600.0], [137.0, 615.0], [90.0, 617.0]], ('*CASH', 0.8321802020072937)], [[[262.0, 593.0], [293.0, 591.0], [294.0, 606.0], [263.0, 608.0]], ('60.00', 0.9414566159248352)], [[[125.0, 614.0], [231.0, 606.0], [232.0, 623.0], [126.0, 631.0]], ('Changa6.72', 0.8609086275100708)]]	{"store_name": "H\u00b7E\u00b7B", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "53.11", "tax": "0.17", "total": "53.28", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SHALLOTS", "item_value": "1.39", "item_quantity": "1"}, {"item_key": "", "item_name": "8NECTARINES", "item_value": "0.44", "item_quantity": "1"}, {"item_key": "", "item_name": "23NYCRUNCHYBARVARIETYPA", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "25ORGANICPOPCORN", "item_value": "0.33", "item_quantity": "1"}, {"item_key": "", "item_name": "26ANGELSOFTWHITE4DR", "item_value": "0.50", "item_quantity": "1"}, {"item_key": "", "item_name": "28HEBVITAMIND5000IUSFTG", "item_value": "1.14", "item_quantity": "1"}, {"item_key": "", "item_name": "29HEBLGGRADEAA6CTEGGS", "item_value": "1.52", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.71", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.48", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.97", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.67", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.98", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "3.96", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.08", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.42", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.94", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.94", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.48", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.44", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.99", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.12", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "2.77", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "5.40", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "1.41", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.68", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "0.97", "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	[[[[344.0, 64.0], [885.0, 70.0], [885.0, 106.0], [344.0, 100.0]], ('WEL.COME TO BEST BUY #571', 0.8945273756980896)], [[[433.0, 109.0], [824.0, 112.0], [824.0, 148.0], [433.0, 144.0]], ('ORLANDOFL32828', 0.9654179811477661)], [[[480.0, 153.0], [779.0, 157.0], [779.0, 192.0], [480.0, 189.0]], ('407482-8099', 0.9906402826309204)], [[[409.0, 240.0], [821.0, 245.0], [820.0, 286.0], [408.0, 280.0]], ('Keep your receipt!', 0.9455152153968811)], [[[134.0, 524.0], [1144.0, 527.0], [1144.0, 568.0], [134.0, 564.0]], ('Va1 #:000147-669944-074813-582651-273926-210', 0.9793132543563843)], [[[141.0, 617.0], [643.0, 619.0], [643.0, 655.0], [141.0, 653.0]], ('0571085106711/09/13', 0.9980590343475342)], [[[737.0, 620.0], [1052.0, 620.0], [1052.0, 656.0], [737.0, 656.0]], ('16:5601047476', 0.9772638082504272)], [[[150.0, 756.0], [311.0, 756.0], [311.0, 787.0], [150.0, 787.0]], ('9503119', 0.9989323616027832)], [[[370.0, 753.0], [483.0, 753.0], [483.0, 789.0], [370.0, 789.0]], ('35811', 0.9983364939689636)], [[[932.0, 750.0], [1050.0, 750.0], [1050.0, 792.0], [932.0, 792.0]], ('59.99', 0.9967703819274902)], [[[193.0, 796.0], [843.0, 797.0], [843.0, 833.0], [193.0, 831.0]], ('PS4-ASSASSINS CREED IV: BLACK', 0.9405873417854309)], [[[198.0, 842.0], [487.0, 842.0], [487.0, 877.0], [198.0, 877.0]], ('ITEM TAX 3.90', 0.9202775955200195)], [[[153.0, 884.0], [489.0, 884.0], [489.0, 920.0], [153.0, 920.0]], ('867604610012', 0.9966362118721008)], [[[930.0, 881.0], [1047.0, 881.0], [1047.0, 923.0], [930.0, 923.0]], ('29.99', 0.9966446161270142)], [[[0.0, 899.0], [71.0, 899.0], [71.0, 930.0], [0.0, 930.0]], ('ONsN', 0.6376289129257202)], [[[0.0, 929.0], [76.0, 922.0], [79.0, 961.0], [0.0, 968.0]], ('ESRB', 0.9957256317138672)], [[[198.0, 930.0], [403.0, 930.0], [403.0, 966.0], [198.0, 966.0]], ('PS4-KNACK', 0.9884312748908997)], [[[247.0, 973.0], [573.0, 969.0], [574.0, 1005.0], [247.0, 1008.0]], ('30.00DISCOUNT', 0.9706529378890991)], [[[198.0, 1015.0], [490.0, 1011.0], [490.0, 1047.0], [199.0, 1051.0]], ('ITEM TAX 1.95', 0.9103555679321289)], [[[156.0, 1059.0], [490.0, 1054.0], [490.0, 1090.0], [157.0, 1095.0]], ('867704510008', 0.9966390132904053)], [[[927.0, 1052.0], [1043.0, 1052.0], [1043.0, 1095.0], [927.0, 1095.0]], ('29.99', 0.997418224811554)], [[[201.0, 1102.0], [512.0, 1096.0], [513.0, 1132.0], [202.0, 1138.0]], ('PS4-KILLZONE 4', 0.9568796753883362)], [[[247.0, 1144.0], [575.0, 1137.0], [576.0, 1173.0], [247.0, 1180.0]], ('30.00DISCOUNT', 0.9719136953353882)], [[[205.0, 1187.0], [490.0, 1181.0], [491.0, 1217.0], [206.0, 1223.0]], ('ITEM TAX 1.95', 0.9193155765533447)], [[[308.0, 1228.0], [619.0, 1222.0], [619.0, 1258.0], [308.0, 1263.0]], ('MY BEST BUY', 0.911354660987854)], [[[946.0, 1221.0], [1081.0, 1221.0], [1081.0, 1260.0], [946.0, 1260.0]], ('0.00N', 0.9078810811042786)], [[[163.0, 1232.0], [325.0, 1232.0], [325.0, 1263.0], [163.0, 1263.0]], ('5426693', 0.9962210059165955)], [[[205.0, 1272.0], [448.0, 1266.0], [449.0, 1302.0], [206.0, 1308.0]], ('MY BEST BUY', 0.9098647832870483)], [[[207.0, 1314.0], [641.0, 1309.0], [642.0, 1343.0], [207.0, 1348.0]], ('MEMBER ID 0409908006', 0.9557372331619263)], [[[624.0, 1391.0], [788.0, 1391.0], [788.0, 1421.0], [624.0, 1421.0]], ('SUBTOTAL', 0.9951411485671997)], [[[876.0, 1382.0], [1009.0, 1378.0], [1011.0, 1419.0], [877.0, 1423.0]], ('119.97', 0.997703492641449)], [[[450.0, 1430.0], [793.0, 1426.0], [793.0, 1462.0], [451.0, 1466.0]], ('SALES TAX AMOUNT', 0.9594407081604004)], [[[917.0, 1423.0], [1005.0, 1419.0], [1007.0, 1458.0], [919.0, 1463.0]], ('7.80', 0.9971694350242615)], [[[685.0, 1504.0], [793.0, 1504.0], [793.0, 1542.0], [685.0, 1542.0]], ('TOTAL', 0.9986461400985718)], [[[872.0, 1500.0], [1003.0, 1494.0], [1006.0, 1536.0], [874.0, 1542.0]], ('127.77', 0.9965210556983948)]]	{"store_name": "WELCOMETOBESTBUY#571", "store_addr": "ORLANDO,FL32828", "telephone": "(407)482-8099", "date": "11/09/13", "time": "16:56", "subtotal": "119.97", "tax": "3.90 1.95 1.95 7.80", "total": "127.77", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "PS4-ASSASSINSCREEDIV:BLACK", "item_value": "59.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PS4-KNACK", "item_value": "29.99", "item_quantity": "1"}, {"item_key": "", "item_name": "PS4-KILLZONE4", "item_value": "29.99", "item_quantity": "1"}, {"item_key": "", "item_name": "MYBESTBUY", "item_value": "0.00N", "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	[[[[79.0, 8.0], [144.0, 0.0], [146.0, 16.0], [82.0, 25.0]], ('USA63014', 0.9799150824546814)], [[[84.0, 21.0], [148.0, 15.0], [150.0, 33.0], [86.0, 39.0]], ('BREA,CA', 0.8496438264846802)], [[[71.0, 33.0], [163.0, 30.0], [163.0, 47.0], [72.0, 50.0]], ('714-672-0295', 0.9463759064674377)], [[[72.0, 48.0], [161.0, 46.0], [161.0, 58.0], [72.0, 61.0]], ('TES063014001', 0.9857422709465027)], [[[97.0, 61.0], [127.0, 61.0], [127.0, 74.0], [97.0, 74.0]], ('USA', 0.9953494668006897)], [[[47.0, 73.0], [188.0, 72.0], [189.0, 89.0], [47.0, 90.0]], ('120 E Imperial Hwy', 0.8900780081748962)], [[[84.0, 89.0], [142.0, 86.0], [143.0, 103.0], [85.0, 107.0]], ('Brea CA', 0.9461173415184021)], [[[37.0, 136.0], [141.0, 136.0], [141.0, 149.0], [37.0, 149.0]], ('DATE 06/24/16', 0.9432438611984253)], [[[153.0, 135.0], [199.0, 135.0], [199.0, 148.0], [153.0, 148.0]], ('10:02', 0.9547513723373413)], [[[37.0, 152.0], [139.0, 152.0], [139.0, 166.0], [37.0, 166.0]], ('TRAN#9850791', 0.9593219757080078)], [[[34.0, 169.0], [102.0, 167.0], [103.0, 182.0], [35.0, 184.0]], ('PUMP#05', 0.9486910104751587)], [[[33.0, 185.0], [189.0, 180.0], [190.0, 196.0], [34.0, 201.0]], ('SERVICE LEVELSELF', 0.9726969599723816)], [[[32.0, 201.0], [149.0, 198.0], [150.0, 215.0], [33.0, 218.0]], ('PRODUCT:DIESL', 0.9523929953575134)], [[[32.0, 218.0], [102.0, 216.0], [103.0, 233.0], [33.0, 236.0]], ('GALLONS:', 0.9876518249511719)], [[[146.0, 214.0], [200.0, 212.0], [200.0, 228.0], [147.0, 231.0]], ('18.613', 0.9952561259269714)], [[[33.0, 236.0], [101.0, 236.0], [101.0, 249.0], [33.0, 249.0]], ('PRICE/G:', 0.9604637622833252)], [[[124.0, 233.0], [137.0, 233.0], [137.0, 248.0], [124.0, 248.0]], ('$', 0.9653605818748474)], [[[154.0, 230.0], [201.0, 227.0], [201.0, 245.0], [155.0, 247.0]], ('2.579', 0.9936133623123169)]]	{"store_name": "", "store_addr": "USA63014 BREA,CA 120EImperialHwy BreaCA", "telephone": "714-672-0295", "date": "06/24/16", "time": "10:02", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "PRODUCT:DIESL", "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	[[[[142.0, 32.0], [351.0, 21.0], [352.0, 41.0], [143.0, 52.0]], ('RESTAURANT', 0.9972890019416809)], [[[162.0, 52.0], [346.0, 41.0], [347.0, 59.0], [163.0, 69.0]], ('CHICAGO RIB HOUSE', 0.961807131767273)], [[[106.0, 71.0], [390.0, 58.0], [391.0, 82.0], [107.0, 95.0]], ('GP-170-G-43GURNEY PLAZA,', 0.9311699867248535)], [[[158.0, 90.0], [345.0, 86.0], [346.0, 107.0], [159.0, 112.0]], ('PERSIARAN GURNEY,', 0.9451627135276794)], [[[183.0, 111.0], [324.0, 114.0], [323.0, 135.0], [182.0, 133.0]], ('10250 PENANG.', 0.9537855982780457)], [[[170.0, 138.0], [326.0, 141.0], [325.0, 162.0], [169.0, 159.0]], ('Tel 04-2290763', 0.9160041809082031)], [[[169.0, 164.0], [326.0, 168.0], [325.0, 190.0], [168.0, 185.0]], ('Fax 04-2290985', 0.9612899422645569)], [[[19.0, 190.0], [134.0, 190.0], [134.0, 212.0], [19.0, 212.0]], ('3COUNTER2', 0.9832913279533386)], [[[394.0, 189.0], [479.0, 185.0], [480.0, 214.0], [396.0, 218.0]], ('1091CJ', 0.9848716855049133)], [[[16.0, 242.0], [111.0, 242.0], [111.0, 266.0], [16.0, 266.0]], ('Chk 1037', 0.9498412013053894)], [[[404.0, 246.0], [476.0, 244.0], [477.0, 270.0], [404.0, 273.0]], ('Guest1', 0.988032877445221)], [[[133.0, 272.0], [372.0, 278.0], [371.0, 299.0], [132.0, 294.0]], ('26Nov 12 05:10:01 PM', 0.8784822225570679)], [[[15.0, 302.0], [221.0, 304.0], [220.0, 342.0], [15.0, 340.0]], ('TBL87/1', 0.9610714912414551)], [[[47.0, 375.0], [165.0, 375.0], [165.0, 396.0], [47.0, 396.0]], ('RM1 COFFEE', 0.9317889213562012)], [[[384.0, 374.0], [434.0, 374.0], [434.0, 401.0], [384.0, 401.0]], ('1.00', 0.9946256875991821)], [[[44.0, 400.0], [155.0, 402.0], [155.0, 427.0], [44.0, 424.0]], ('RM1 LATTE', 0.9408299922943115)], [[[384.0, 403.0], [434.0, 403.0], [434.0, 429.0], [384.0, 429.0]], ('1.00', 0.9948160648345947)], [[[249.0, 428.0], [296.0, 416.0], [303.0, 444.0], [256.0, 456.0]], ('TQ!', 0.9669319987297058)], [[[45.0, 460.0], [139.0, 460.0], [139.0, 484.0], [45.0, 484.0]], ('Subtotal', 0.9960712790489197)], [[[384.0, 460.0], [435.0, 460.0], [435.0, 486.0], [384.0, 486.0]], ('2.00', 0.9980047941207886)], [[[47.0, 487.0], [176.0, 489.0], [176.0, 515.0], [47.0, 512.0]], ('10%Srv Chg', 0.9589511752128601)], [[[384.0, 489.0], [436.0, 489.0], [436.0, 516.0], [384.0, 516.0]], ('0.20', 0.9958670139312744)], [[[44.0, 516.0], [177.0, 519.0], [177.0, 544.0], [44.0, 542.0]], ('6%Govt Tax', 0.9643750190734863)], [[[384.0, 516.0], [437.0, 519.0], [436.0, 546.0], [382.0, 543.0]], ('0.12', 0.996560275554657)], [[[45.0, 547.0], [118.0, 547.0], [118.0, 572.0], [45.0, 572.0]], ('Total:', 0.9656276702880859)], [[[385.0, 547.0], [438.0, 547.0], [438.0, 574.0], [385.0, 574.0]], ('2.32', 0.9851958751678467)], [[[44.0, 575.0], [129.0, 579.0], [128.0, 604.0], [43.0, 600.0]], ('Rnd Adj', 0.9804636836051941)], [[[384.0, 574.0], [449.0, 579.0], [446.0, 608.0], [382.0, 603.0]], ('002-', 0.9320546388626099)], [[[46.0, 605.0], [160.0, 610.0], [158.0, 655.0], [43.0, 649.0]], ('Total', 0.997480571269989)], [[[325.0, 608.0], [430.0, 608.0], [430.0, 657.0], [325.0, 657.0]], ('2.30', 0.9979020953178406)], [[[80.0, 681.0], [418.0, 687.0], [418.0, 711.0], [80.0, 706.0]], ('Thank You.Please Come Again', 0.9400700330734253)]]	{"store_name": "RESTAURANT CHICAGORIBHOUSE", "store_addr": "GP-170-G-43,GURNEYPLAZA, PERSIARANGURNEY, 10250PENANG.", "telephone": "04-2290763", "date": "26Nov12", "time": "05:10:01PM", "subtotal": "2.00", "tax": "0.12", "total": "2.30 ThankYou.PleaseComeAgain.", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "RM1COFFEE", "item_value": "1.00", "item_quantity": "1"}, {"item_key": "", "item_name": "RM1LATTE", "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	[[[[72.0, 25.0], [275.0, 29.0], [275.0, 46.0], [72.0, 42.0]], ('Restaurant at Elderberry Pond', 0.9532662034034729)], [[[134.0, 43.0], [219.0, 46.0], [218.0, 61.0], [133.0, 58.0]], ('315-252-6025', 0.9920259118080139)], [[[94.0, 59.0], [254.0, 63.0], [253.0, 80.0], [93.0, 75.0]], ('3728 Center Street Road', 0.9395966529846191)], [[[98.0, 78.0], [251.0, 80.0], [251.0, 95.0], [98.0, 93.0]], ('Auburn New York 13021', 0.9253576993942261)], [[[30.0, 107.0], [143.0, 111.0], [142.0, 128.0], [30.0, 124.0]], ('ServerMichelle', 0.9786387085914612)], [[[249.0, 115.0], [322.0, 115.0], [322.0, 132.0], [249.0, 132.0]], ('04/13/2017', 0.9974859356880188)], [[[31.0, 126.0], [101.0, 126.0], [101.0, 143.0], [31.0, 143.0]], ('Table 45/1', 0.9340506792068481)], [[[29.0, 140.0], [94.0, 143.0], [94.0, 160.0], [29.0, 158.0]], ('Guests:2', 0.9034621715545654)], [[[263.0, 132.0], [322.0, 132.0], [322.0, 149.0], [263.0, 149.0]], ('12:57PM', 0.956541895866394)], [[[283.0, 150.0], [321.0, 150.0], [321.0, 165.0], [283.0, 165.0]], ('10004', 0.9990385174751282)], [[[28.0, 175.0], [86.0, 175.0], [86.0, 192.0], [28.0, 192.0]], ('ICED TEA', 0.8983526229858398)], [[[26.0, 191.0], [90.0, 193.0], [90.0, 208.0], [26.0, 206.0]], ('SPECIAL4', 0.9703547954559326)], [[[287.0, 182.0], [322.0, 182.0], [322.0, 200.0], [287.0, 200.0]], ('2.50', 0.9959758520126343)], [[[283.0, 197.0], [323.0, 199.0], [322.0, 217.0], [281.0, 215.0]], ('14.00', 0.9952462911605835)], [[[24.0, 208.0], [127.0, 211.0], [126.0, 225.0], [24.0, 222.0]], ('DESSERT SPECIAL', 0.9497133493423462)], [[[23.0, 224.0], [223.0, 232.0], [222.0, 246.0], [23.0, 238.0]], ('DECAFF1NATED COFFEE23.00', 0.9388675689697266)], [[[288.0, 215.0], [322.0, 217.0], [321.0, 233.0], [286.0, 231.0]], ('6.00', 0.9943268895149231)], [[[21.0, 239.0], [87.0, 242.0], [86.0, 259.0], [20.0, 256.0]], ('VEG PASTA', 0.9565277099609375)], [[[288.0, 233.0], [321.0, 235.0], [320.0, 251.0], [286.0, 249.0]], ('6.00', 0.9950073957443237)], [[[282.0, 251.0], [322.0, 251.0], [322.0, 269.0], [282.0, 269.0]], ('12.00', 0.9965994954109192)], [[[15.0, 273.0], [76.0, 277.0], [75.0, 294.0], [14.0, 290.0]], ('Subtotal', 0.9517585039138794)], [[[15.0, 291.0], [41.0, 294.0], [39.0, 311.0], [13.0, 308.0]], ('Tax', 0.9851210117340088)], [[[282.0, 285.0], [324.0, 288.0], [323.0, 306.0], [280.0, 303.0]], ('40.50', 0.9933491945266724)], [[[287.0, 304.0], [323.0, 307.0], [322.0, 325.0], [285.0, 322.0]], ('3.24', 0.9881895780563354)], [[[10.0, 326.0], [49.0, 329.0], [47.0, 348.0], [9.0, 345.0]], ('Total', 0.985173225402832)], [[[281.0, 341.0], [323.0, 344.0], [322.0, 362.0], [279.0, 359.0]], ('43.74', 0.9950875043869019)], [[[9.0, 362.0], [170.0, 373.0], [169.0, 391.0], [8.0, 380.0]], ('Balance Due', 0.943564772605896)], [[[243.0, 376.0], [320.0, 381.0], [319.0, 399.0], [242.0, 394.0]], ('43.74', 0.9937871098518372)], [[[58.0, 401.0], [265.0, 416.0], [264.0, 433.0], [57.0, 418.0]], ('Thank you for supporting our', 0.9455704689025879)], [[[87.0, 422.0], [236.0, 430.0], [235.0, 447.0], [86.0, 439.0]], ('farm and restaurant!', 0.9532511830329895)]]	{"store_name": "RestaurantatElderberryPond", "store_addr": "3728CenterStreetRoad Auburn,NewYork13021", "telephone": "315-252-6025", "date": "04/13/2017", "time": "12:57PM", "subtotal": "40.50", "tax": "3.24", "total": "43.74 43.74", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ICEDTEA", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "SPECIAL4", "item_value": "14.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DESSERTSPECIAL", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DECAFFINATEDCOFFEE", "item_value": "6.00", "item_quantity": "1"}, {"item_key": "", "item_name": "VEGPASTA", "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	[[[[108.0, 0.0], [187.0, 5.0], [186.0, 19.0], [107.0, 13.0]], ('3200 LakeShore Ave', 0.9192855358123779)], [[[111.0, 10.0], [182.0, 16.0], [181.0, 29.0], [110.0, 23.0]], ('0196', 0.7173815965652466)], [[[120.0, 22.0], [171.0, 27.0], [170.0, 38.0], [119.0, 34.0]], ('510-893-1676', 0.9530022740364075)], [[[58.0, 37.0], [142.0, 44.0], [141.0, 57.0], [57.0, 49.0]], ('LekeSrore76.255325', 0.8536190986633301)], [[[57.0, 56.0], [131.0, 63.0], [130.0, 75.0], [56.0, 69.0]], ('klardCa 94610', 0.8035188317298889)], [[[58.0, 48.0], [132.0, 55.0], [131.0, 66.0], [57.0, 58.0]], ('3200 LakeShore Ave', 0.8856732845306396)], [[[68.0, 94.0], [207.0, 110.0], [205.0, 123.0], [67.0, 107.0]], ('Rec1ser11rars4637 o 1012', 0.7631721496582031)], [[[93.0, 87.0], [186.0, 99.0], [184.0, 112.0], [91.0, 100.0]], ('04/07/201810:28:26AM', 0.8767374753952026)], [[[98.0, 107.0], [176.0, 118.0], [175.0, 128.0], [96.0, 118.0]], ('Your cashter: Aastha', 0.8310565948486328)], [[[91.0, 123.0], [177.0, 134.0], [176.0, 145.0], [89.0, 133.0]], ('PREPAIORECEI*', 0.7061129212379456)], [[[57.0, 137.0], [128.0, 146.0], [127.0, 157.0], [55.0, 148.0]], ('ERAPU', 0.7568494081497192)], [[[122.0, 162.0], [198.0, 174.0], [196.0, 187.0], [120.0, 175.0]], ('Suetctal=$30.00', 0.8217321634292603)], [[[170.0, 153.0], [215.0, 159.0], [214.0, 169.0], [169.0, 164.0]], ('660000S', 0.6656553149223328)], [[[139.0, 174.0], [197.0, 183.0], [195.0, 196.0], [137.0, 187.0]], ('Ta=$0.00', 0.8265173435211182)], [[[131.0, 191.0], [193.0, 201.0], [191.0, 212.0], [129.0, 202.0]], ('Total=$30.00', 0.8833112716674805)], [[[111.0, 205.0], [163.0, 213.0], [161.0, 224.0], [110.0, 216.0]], ('Charg Due', 0.6329814791679382)], [[[54.0, 215.0], [67.0, 215.0], [67.0, 223.0], [54.0, 223.0]], ('CEsh', 0.6477122902870178)], [[[167.0, 213.0], [192.0, 217.0], [190.0, 229.0], [165.0, 225.0]], ('$0.00', 0.9397555589675903)], [[[162.0, 230.0], [188.0, 230.0], [188.0, 241.0], [162.0, 241.0]], ('830.00', 0.9003623127937317)]]	{"store_name": "", "store_addr": "3200LakeShoreAve Dakland.Ca94610 LakeShore76.255325 3200LakeShoreAve OakLand,Ca94510", "telephone": "510-893-1676", "date": "04/07/2018", "time": "10:28:26AM", "subtotal": "$30.00", "tax": "$0.00", "total": "$30.00", "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	[[[[111.0, 183.0], [206.0, 181.0], [207.0, 198.0], [112.0, 200.0]], ('RISTORANTE COSO', 0.971824049949646)], [[[84.0, 205.0], [233.0, 204.0], [233.0, 215.0], [84.0, 216.0]], ('VIA IN LUCINA 16 L ROMA', 0.8919974565505981)], [[[112.0, 198.0], [205.0, 198.0], [205.0, 208.0], [112.0, 208.0]], ('LUC1NA 2009_SRL', 0.8676711916923523)], [[[94.0, 213.0], [222.0, 213.0], [222.0, 226.0], [94.0, 226.0]], ('CFE_PI10350891007', 0.9525441527366638)], [[[112.0, 222.0], [208.0, 221.0], [208.0, 235.0], [112.0, 236.0]], ('TEL0668210420', 0.9887440204620361)], [[[240.0, 243.0], [272.0, 243.0], [272.0, 257.0], [240.0, 257.0]], ('EURO', 0.995855450630188)], [[[131.0, 253.0], [188.0, 253.0], [188.0, 267.0], [131.0, 267.0]], ('2X1.00', 0.9398040175437927)], [[[52.0, 264.0], [100.0, 264.0], [100.0, 275.0], [52.0, 275.0]], ('COPERTO', 0.9969765543937683)], [[[239.0, 264.0], [273.0, 264.0], [273.0, 278.0], [239.0, 278.0]], ('2.00', 0.9965188503265381)], [[[50.0, 275.0], [186.0, 275.0], [186.0, 288.0], [50.0, 288.0]], ('SYRAH CASALE DEL GIL', 0.927932620048523)], [[[234.0, 276.0], [273.0, 276.0], [273.0, 290.0], [234.0, 290.0]], ('20.00', 0.993506133556366)], [[[49.0, 286.0], [133.0, 286.0], [133.0, 300.0], [49.0, 300.0]], ('ACQUA LISCIA', 0.9714305996894836)], [[[241.0, 287.0], [274.0, 287.0], [274.0, 302.0], [241.0, 302.0]], ('2.00', 0.9947400689125061)], [[[49.0, 298.0], [181.0, 298.0], [181.0, 311.0], [49.0, 311.0]], ('PATATA AL CARTOCCIO', 0.9458208680152893)], [[[241.0, 297.0], [274.0, 300.0], [273.0, 315.0], [240.0, 312.0]], ('8.00', 0.9905503988265991)], [[[46.0, 308.0], [187.0, 309.0], [187.0, 323.0], [46.0, 322.0]], ('SPAGHE.ALLA CARBONAR', 0.9518876075744629)], [[[47.0, 319.0], [166.0, 321.0], [166.0, 336.0], [47.0, 333.0]], ('LASAGNE BOLOGNESE', 0.9569797515869141)], [[[235.0, 311.0], [275.0, 311.0], [275.0, 325.0], [235.0, 325.0]], ('10.00', 0.9962701797485352)], [[[235.0, 321.0], [276.0, 324.0], [275.0, 339.0], [234.0, 336.0]], ('10.00', 0.995622456073761)], [[[47.0, 332.0], [124.0, 332.0], [124.0, 347.0], [47.0, 347.0]], ('MILLEFOGLIE', 0.9649067521095276)], [[[241.0, 335.0], [276.0, 335.0], [276.0, 350.0], [241.0, 350.0]], ('6.00', 0.9688055515289307)], [[[48.0, 353.0], [117.0, 357.0], [115.0, 379.0], [47.0, 375.0]], ('TOTALE', 0.9945452809333801)], [[[233.0, 357.0], [278.0, 357.0], [278.0, 385.0], [233.0, 385.0]], ('58.00', 0.9915116429328918)], [[[48.0, 373.0], [104.0, 376.0], [103.0, 390.0], [48.0, 388.0]], ('CONTANTI', 0.9933446049690247)], [[[50.0, 384.0], [87.0, 387.0], [86.0, 398.0], [50.0, 396.0]], ('RESTO', 0.9977661371231079)], [[[235.0, 378.0], [276.0, 382.0], [275.0, 397.0], [234.0, 393.0]], ('58.00', 0.9931778907775879)], [[[3.0, 395.0], [30.0, 395.0], [30.0, 424.0], [3.0, 424.0]], ('ISI', 0.7487189173698425)], [[[52.0, 400.0], [102.0, 402.0], [101.0, 416.0], [52.0, 414.0]], ('R.0026', 0.7842562198638916)], [[[241.0, 392.0], [275.0, 394.0], [274.0, 406.0], [240.0, 404.0]], ('0.00', 0.9926750063896179)], [[[166.0, 406.0], [237.0, 409.0], [237.0, 423.0], [165.0, 420.0]], ('14/11/14', 0.9860936403274536)], [[[231.0, 407.0], [274.0, 411.0], [273.0, 425.0], [230.0, 422.0]], ('20:40', 0.9358714818954468)], [[[129.0, 422.0], [210.0, 425.0], [210.0, 435.0], [129.0, 432.0]], ('R7-72025646', 0.7804117798805237)]]	{"store_name": "RISTORANTECOSO", "store_addr": "VIAINLUCINA16LROMA LUCINA2009SRL", "telephone": "0668210420", "date": "14/11/14", "time": "20:40", "subtotal": "", "tax": "", "total": "58.00 58.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "MILLEFOGLIE", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LASAGNEBOLOGNESE", "item_value": "20.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SPAGHEALLACARBONAR", "item_value": "2.00", "item_quantity": "1"}, {"item_key": "", "item_name": "PATATAALCARTOCCIO", "item_value": "8.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ACQUALISCIA", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "SYRAHCASALEDELGIL", "item_value": "10.00", "item_quantity": "1"}, {"item_key": "", "item_name": "COPERTO", "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	[[[[134.0, 64.0], [283.0, 54.0], [285.0, 92.0], [137.0, 102.0]], ('1st 6as up', 0.8348759412765503)], [[[127.0, 154.0], [311.0, 144.0], [312.0, 158.0], [127.0, 168.0]], ('MRP TRAUEL PLAZA', 0.9226881861686707)], [[[124.0, 166.0], [311.0, 155.0], [312.0, 172.0], [126.0, 183.0]], ('15838 PAUL NEGRA', 0.9381368160247803)], [[[112.0, 181.0], [324.0, 168.0], [326.0, 185.0], [113.0, 198.0]], ('FIREBAUGH-CA 93622', 0.9214360117912292)], [[[143.0, 193.0], [287.0, 185.0], [288.0, 201.0], [144.0, 209.0]], ('209-364-6437', 0.9871928691864014)], [[[174.0, 205.0], [258.0, 200.0], [259.0, 215.0], [175.0, 220.0]], ('HEP TRUL PLAZA', 0.8276487588882446)], [[[176.0, 219.0], [252.0, 215.0], [253.0, 231.0], [177.0, 235.0]], ('FIREBAUGCA', 0.9482135772705078)], [[[153.0, 235.0], [268.0, 229.0], [269.0, 244.0], [154.0, 250.0]], ('DEALER:4543880-693', 0.9546439051628113)], [[[110.0, 281.0], [265.0, 273.0], [266.0, 290.0], [111.0, 298.0]], ('DUPLICATE OUTDOOR RECEIPT', 0.9120503067970276)], [[[85.0, 311.0], [190.0, 307.0], [190.0, 324.0], [85.0, 328.0]], ('#XXxXXXXXXXXX013', 0.6365509033203125)], [[[83.0, 328.0], [165.0, 324.0], [166.0, 341.0], [84.0, 345.0]], ('IN6934588', 0.9185477495193481)], [[[84.0, 343.0], [163.0, 340.0], [164.0, 356.0], [84.0, 359.0]], ('AUTH#068310', 0.9788463115692139)], [[[89.0, 358.0], [188.0, 354.0], [188.0, 371.0], [90.0, 375.0]], ('03/26/03 14:40', 0.9444838762283325)], [[[80.0, 374.0], [182.0, 370.0], [182.0, 387.0], [80.0, 391.0]], ('DEALER#4543880', 0.9715202450752258)], [[[99.0, 389.0], [192.0, 386.0], [192.0, 403.0], [100.0, 406.0]], ('MBP TRUL FLAZA', 0.8609355688095093)], [[[100.0, 405.0], [156.0, 405.0], [156.0, 422.0], [100.0, 422.0]], ('FIREBAUG', 0.9648826122283936)], [[[150.0, 403.0], [193.0, 403.0], [193.0, 421.0], [150.0, 421.0]], ('CA', 0.9886994361877441)], [[[68.0, 439.0], [182.0, 436.0], [182.0, 453.0], [69.0, 456.0]], ('FUMP#02SUPREM', 0.9568862318992615)], [[[71.0, 456.0], [118.0, 456.0], [118.0, 471.0], [71.0, 471.0]], ('CLUONNS', 0.5162902474403381)], [[[156.0, 453.0], [201.0, 453.0], [201.0, 471.0], [156.0, 471.0]], ('12.006', 0.9921393990516663)], [[[65.0, 473.0], [124.0, 473.0], [124.0, 487.0], [65.0, 487.0]], ('PRICE/GAL', 0.9368400573730469)], [[[147.0, 469.0], [199.0, 469.0], [199.0, 487.0], [147.0, 487.0]], ('$2.499', 0.9884832501411438)], [[[63.0, 488.0], [127.0, 488.0], [127.0, 505.0], [63.0, 505.0]], ('FUEL SALE', 0.9547005891799927)], [[[146.0, 488.0], [198.0, 488.0], [198.0, 504.0], [146.0, 504.0]], ('$30.00', 0.9882226586341858)], [[[59.0, 522.0], [122.0, 522.0], [122.0, 540.0], [59.0, 540.0]], ('TOTAL D', 0.9226557612419128)], [[[141.0, 521.0], [194.0, 521.0], [194.0, 539.0], [141.0, 539.0]], ('$30.00', 0.9892117977142334)], [[[70.0, 556.0], [302.0, 552.0], [303.0, 572.0], [71.0, 576.0]], ('THANKSCOME AGAIN', 0.9686640501022339)]]	{"store_name": "", "store_addr": "FIREBAUGCA MBPTRVLPLAZA FIREBAUG,CA MBPTRVPLAZA FIREBAUGH,CA.93622 15838PAULNEGRA MBPTRAVELPLAZA", "telephone": "209-364-6437", "date": "03/26/03", "time": "14:40", "subtotal": "", "tax": "", "total": "$30.00 $30.00", "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	[[[[89.0, 20.0], [151.0, 20.0], [151.0, 37.0], [89.0, 37.0]], ('Seoul', 0.8999700546264648)], [[[173.0, 20.0], [256.0, 20.0], [256.0, 37.0], [173.0, 37.0]], ('Garden', 0.9963283538818359)], [[[135.0, 53.0], [196.0, 53.0], [196.0, 63.0], [135.0, 63.0]], ('Kk', 0.5927624702453613)], [[[97.0, 78.0], [249.0, 78.0], [249.0, 92.0], [97.0, 92.0]], ('8 GF Zomorrodah BldgZabee1 Rd', 0.897678792476654)], [[[109.0, 90.0], [237.0, 90.0], [237.0, 103.0], [109.0, 103.0]], ('Near Al Karama Post Off ice', 0.9168357253074646)], [[[150.0, 102.0], [197.0, 102.0], [197.0, 114.0], [150.0, 114.0]], ('Bur Dubai', 0.9514703750610352)], [[[138.0, 114.0], [212.0, 114.0], [212.0, 126.0], [138.0, 126.0]], ('97143377876', 0.9562452435493469)], [[[135.0, 125.0], [214.0, 125.0], [214.0, 138.0], [135.0, 138.0]], ('971)505353056', 0.9480026960372925)], [[[157.0, 147.0], [193.0, 147.0], [193.0, 161.0], [157.0, 161.0]], ('Invoice', 0.9970641732215881)], [[[56.0, 171.0], [100.0, 171.0], [100.0, 182.0], [56.0, 182.0]], ('Memo#33', 0.9224194884300232)], [[[144.0, 169.0], [244.0, 169.0], [244.0, 182.0], [144.0, 182.0]], ('08:43 PM 01-Mar-2017', 0.8889539837837219)], [[[54.0, 182.0], [104.0, 182.0], [104.0, 196.0], [54.0, 196.0]], ('User:Lee', 0.9296777248382568)], [[[218.0, 183.0], [249.0, 183.0], [249.0, 194.0], [218.0, 194.0]], ('Px4', 0.644053041934967)], [[[142.0, 193.0], [208.0, 193.0], [208.0, 207.0], [142.0, 207.0]], ('TableRoom13', 0.94815593957901)], [[[55.0, 219.0], [92.0, 219.0], [92.0, 230.0], [55.0, 230.0]], ('Product', 0.9960514307022095)], [[[195.0, 217.0], [213.0, 217.0], [213.0, 230.0], [195.0, 230.0]], ('Qty', 0.9845060706138611)], [[[224.0, 216.0], [256.0, 216.0], [256.0, 230.0], [224.0, 230.0]], ('Amount', 0.8479311466217041)], [[[55.0, 244.0], [104.0, 244.0], [104.0, 255.0], [55.0, 255.0]], ('Water-L', 0.9738810658454895)], [[[207.0, 242.0], [214.0, 242.0], [214.0, 253.0], [207.0, 253.0]], ('1', 0.9583056569099426)], [[[234.0, 239.0], [259.0, 239.0], [259.0, 254.0], [234.0, 254.0]], ('5.00', 0.9943787455558777)], [[[54.0, 255.0], [109.0, 255.0], [109.0, 269.0], [54.0, 269.0]], ('Chadolbaki', 0.9282666444778442)], [[[230.0, 252.0], [259.0, 252.0], [259.0, 266.0], [230.0, 266.0]], ('65.00', 0.9916805028915405)], [[[53.0, 268.0], [93.0, 268.0], [93.0, 282.0], [53.0, 282.0]], ('Gim Bab', 0.9129563570022583)], [[[209.0, 268.0], [214.0, 268.0], [214.0, 275.0], [209.0, 275.0]], ('1', 0.9572121500968933)], [[[233.0, 265.0], [260.0, 265.0], [260.0, 278.0], [233.0, 278.0]], ('45.00', 0.995104968547821)], [[[52.0, 281.0], [93.0, 281.0], [93.0, 295.0], [52.0, 295.0]], ('Rabokki', 0.9894489049911499)], [[[232.0, 276.0], [261.0, 276.0], [261.0, 291.0], [232.0, 291.0]], ('50.00', 0.9937976598739624)], [[[52.0, 294.0], [94.0, 294.0], [94.0, 308.0], [52.0, 308.0]], ('Jab Che', 0.9610782861709595)], [[[233.0, 289.0], [262.0, 289.0], [262.0, 303.0], [233.0, 303.0]], ('50.00', 0.9945185780525208)], [[[51.0, 308.0], [141.0, 303.0], [141.0, 318.0], [51.0, 323.0]], ('Dolsot Bibim Bab', 0.9113166928291321)], [[[233.0, 302.0], [262.0, 302.0], [262.0, 316.0], [233.0, 316.0]], ('55.00', 0.9940950274467468)], [[[51.0, 335.0], [102.0, 332.0], [103.0, 347.0], [51.0, 350.0]], ('Sub Tota', 0.9480191469192505)], [[[230.0, 327.0], [264.0, 327.0], [264.0, 343.0], [230.0, 343.0]], ('270.00', 0.9952678084373474)], [[[51.0, 363.0], [162.0, 357.0], [162.0, 371.0], [51.0, 377.0]], ('Total Qty:6 Amt', 0.8736754655838013)], [[[235.0, 355.0], [269.0, 352.0], [270.0, 367.0], [236.0, 370.0]], ('270.00', 0.9945521950721741)], [[[50.0, 376.0], [240.0, 366.0], [240.0, 382.0], [50.0, 392.0]], ('Two Hundred Seventy Dirhans Only', 0.9481279850006104)], [[[51.0, 391.0], [173.0, 384.0], [174.0, 399.0], [51.0, 405.0]], ('Thank you, we look for', 0.9010589718818665)], [[[51.0, 404.0], [179.0, 398.0], [180.0, 412.0], [51.0, 418.0]], ('ward to serve you again', 0.9586221575737)], [[[50.0, 417.0], [243.0, 407.0], [244.0, 420.0], [50.0, 430.0]], ('Dubai Seoul Garden Korean Restaurant', 0.9412769675254822)]]	{"store_name": "", "store_addr": "8GFZomorrodahBldg,ZabeelRd NearAlKaramaPostOffice BurDubai", "telephone": "(971)43377878 (971)505353058", "date": "01-Mar-2017", "time": "08:43PM", "subtotal": "270.00", "tax": "", "total": "270.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Water-L", "item_value": "5.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Chadolbaki", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "GimBab", "item_value": "45.00", "item_quantity": "1"}, {"item_key": "", "item_name": "Rabokki", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "JabChe", "item_value": "50.00", "item_quantity": "1"}, {"item_key": "", "item_name": "DolsotBibimBab", "item_value": "55.00", "item_quantity": "1"}, {"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	[[[[100.0, 40.0], [242.0, 40.0], [242.0, 53.0], [100.0, 53.0]], ('THAIR YOU EOR SHOPPING AT', 0.7245583534240723)], [[[90.0, 53.0], [255.0, 53.0], [255.0, 67.0], [90.0, 67.0]], ("ELOGHTHGDALE'SHEUPORT BEACH", 0.8209368586540222)], [[[65.0, 77.0], [223.0, 77.0], [223.0, 91.0], [65.0, 91.0]], ('TERMAL 125 CUSTOHER CGPY', 0.840874969959259)], [[[218.0, 78.0], [282.0, 78.0], [282.0, 89.0], [218.0, 89.0]], ('MCPURCHASE', 0.7934166789054871)], [[[62.0, 90.0], [284.0, 90.0], [284.0, 103.0], [62.0, 103.0]], ('50305506412021R335806/01/08410P', 0.8988943696022034)], [[[61.0, 118.0], [111.0, 118.0], [111.0, 129.0], [61.0, 129.0]], ('CLIHIQUE', 0.80789715051651)], [[[184.0, 116.0], [220.0, 116.0], [220.0, 130.0], [184.0, 130.0]], ('OTX2', 0.7723003029823303)], [[[244.0, 115.0], [279.0, 115.0], [279.0, 129.0], [244.0, 129.0]], ('46.00', 0.954376220703125)], [[[59.0, 132.0], [133.0, 132.0], [133.0, 144.0], [59.0, 144.0]], ('020714222857', 0.9667365550994873)], [[[59.0, 147.0], [109.0, 147.0], [109.0, 158.0], [59.0, 158.0]], ('CLINIQUE', 0.9706038236618042)], [[[184.0, 143.0], [220.0, 143.0], [220.0, 157.0], [184.0, 157.0]], ('OTY', 0.8768250346183777)], [[[246.0, 142.0], [280.0, 142.0], [280.0, 157.0], [246.0, 157.0]], ('16.50', 0.9487872123718262)], [[[57.0, 158.0], [133.0, 158.0], [133.0, 173.0], [57.0, 173.0]], ('020714247362', 0.994564950466156)], [[[57.0, 174.0], [110.0, 174.0], [110.0, 189.0], [57.0, 189.0]], ('CLINIQUE', 0.8830466866493225)], [[[185.0, 172.0], [221.0, 172.0], [221.0, 188.0], [185.0, 188.0]], ('OTY1', 0.7498905658721924)], [[[248.0, 171.0], [281.0, 171.0], [281.0, 186.0], [248.0, 186.0]], ('16.50', 0.9506658315658569)], [[[56.0, 190.0], [134.0, 190.0], [134.0, 204.0], [56.0, 204.0]], ('020714288594', 0.968960702419281)], [[[56.0, 221.0], [108.0, 221.0], [108.0, 235.0], [56.0, 235.0]], ('SUBTOTAL', 0.9671406149864197)], [[[248.0, 215.0], [285.0, 215.0], [285.0, 233.0], [248.0, 233.0]], ('79.00', 0.9328540563583374)], [[[73.0, 237.0], [153.0, 234.0], [153.0, 249.0], [73.0, 251.0]], ('CA 775%TAX', 0.8364621996879578)], [[[255.0, 231.0], [285.0, 231.0], [285.0, 248.0], [255.0, 248.0]], ('6.12', 0.9268582463264465)], [[[56.0, 268.0], [196.0, 264.0], [196.0, 279.0], [56.0, 282.0]], ('TOTAL AMOUNTDUE STORE', 0.9251477122306824)], [[[250.0, 264.0], [288.0, 264.0], [288.0, 279.0], [250.0, 279.0]], ('85.12', 0.9826894998550415)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "06/01/08", "time": "", "subtotal": "79.00", "tax": "6.12", "total": "85.12", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "CLINIQUE", "item_value": "46.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CLINIQUE", "item_value": "16.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CLINIQUE", "item_value": "16.50", "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	[[[[248.0, 134.0], [727.0, 130.0], [728.0, 212.0], [249.0, 217.0]], ('SAFEWAY', 0.9953169822692871)], [[[887.0, 211.0], [915.0, 211.0], [915.0, 230.0], [887.0, 230.0]], ('TM', 0.8845608234405518)], [[[234.0, 257.0], [636.0, 253.0], [637.0, 279.0], [234.0, 284.0]], ('STORE MGR GINA PRATHER', 0.9436692595481873)], [[[713.0, 254.0], [931.0, 251.0], [931.0, 279.0], [713.0, 282.0]], ('408-867-0180', 0.9882562756538391)], [[[288.0, 289.0], [856.0, 288.0], [856.0, 316.0], [288.0, 317.0]], ('THANK YOU FOR SHOPPING WITH US!', 0.9420579671859741)], [[[494.0, 421.0], [643.0, 421.0], [643.0, 455.0], [494.0, 455.0]], ('GROCERY', 0.997035801410675)], [[[169.0, 496.0], [511.0, 496.0], [511.0, 523.0], [169.0, 523.0]], ('BCWARM DELIGHTS', 0.9741396307945251)], [[[866.0, 493.0], [998.0, 488.0], [999.0, 521.0], [867.0, 526.0]], ('1.64F', 0.9784375429153442)], [[[165.0, 529.0], [425.0, 534.0], [425.0, 566.0], [165.0, 562.0]], ('Mfr. eCoupon', 0.8924781680107117)], [[[895.0, 527.0], [981.0, 527.0], [981.0, 562.0], [895.0, 562.0]], ('.50-', 0.977679431438446)], [[[164.0, 566.0], [425.0, 570.0], [425.0, 602.0], [164.0, 598.0]], ('Mfr.eCoupon', 0.912304699420929)], [[[899.0, 563.0], [983.0, 563.0], [983.0, 598.0], [899.0, 598.0]], ('.50-', 0.9744564890861511)], [[[163.0, 602.0], [427.0, 606.0], [426.0, 639.0], [162.0, 635.0]], ('Mfr.eCoupan', 0.914267361164093)], [[[901.0, 601.0], [984.0, 601.0], [984.0, 635.0], [901.0, 635.0]], ('.75-', 0.9031546711921692)], [[[162.0, 643.0], [379.0, 643.0], [379.0, 671.0], [162.0, 671.0]], ('RITZCHIPS', 0.9682514667510986)], [[[870.0, 640.0], [1006.0, 635.0], [1007.0, 668.0], [871.0, 673.0]], ('2.50F', 0.9702137112617493)], [[[160.0, 681.0], [446.0, 678.0], [446.0, 710.0], [160.0, 713.0]], ('RegPrice 3.79', 0.914203941822052)], [[[560.0, 678.0], [828.0, 675.0], [828.0, 711.0], [560.0, 714.0]], ('CardSav 1.29', 0.930560827255249)], [[[160.0, 718.0], [559.0, 718.0], [559.0, 749.0], [160.0, 749.0]], ('WHTTHINSCHP PARM', 0.9704767465591431)], [[[871.0, 713.0], [1010.0, 707.0], [1012.0, 744.0], [873.0, 751.0]], ('2.50F', 0.9222549200057983)], [[[160.0, 756.0], [446.0, 756.0], [446.0, 788.0], [160.0, 788.0]], ('RegPrice 3.79', 0.93760746717453)], [[[560.0, 755.0], [830.0, 749.0], [831.0, 786.0], [560.0, 792.0]], ('CardSav 1.29', 0.94659024477005)], [[[157.0, 793.0], [357.0, 793.0], [357.0, 821.0], [157.0, 821.0]], ('BBQ SAUCE', 0.9501259922981262)], [[[907.0, 787.0], [1016.0, 782.0], [1017.0, 821.0], [908.0, 826.0]], ('.99F', 0.900098443031311)], [[[157.0, 833.0], [444.0, 833.0], [444.0, 861.0], [157.0, 861.0]], ('RegPrice3.69', 0.9622090458869934)], [[[561.0, 831.0], [833.0, 826.0], [833.0, 863.0], [562.0, 867.0]], ('CardSay 2.70', 0.8992099761962891)], [[[152.0, 867.0], [559.0, 868.0], [559.0, 900.0], [152.0, 899.0]], ('2@99KCBBQ SCE', 0.9409460425376892)], [[[880.0, 863.0], [1019.0, 858.0], [1020.0, 896.0], [882.0, 901.0]], ('1.98F', 0.9891731142997742)], [[[153.0, 908.0], [446.0, 907.0], [446.0, 939.0], [153.0, 940.0]], ('RegPrice7.38', 0.981572151184082)], [[[562.0, 907.0], [836.0, 903.0], [836.0, 936.0], [563.0, 940.0]], ('CardSay 5.40', 0.9185653328895569)], [[[151.0, 946.0], [724.0, 946.0], [724.0, 978.0], [151.0, 978.0]], ('2@.99KCMSTRPCBBQ SCE', 0.9292436838150024)], [[[885.0, 941.0], [1022.0, 937.0], [1022.0, 975.0], [885.0, 978.0]], ('1.98F', 0.9883696436882019)], [[[150.0, 987.0], [445.0, 983.0], [445.0, 1016.0], [151.0, 1021.0]], ('RegPrice7.38', 0.9765443801879883)], [[[562.0, 987.0], [837.0, 984.0], [837.0, 1016.0], [563.0, 1019.0]], ('CardSay 5.40', 0.9446436762809753)], [[[149.0, 1026.0], [725.0, 1026.0], [725.0, 1058.0], [149.0, 1058.0]], ('4@.99KCMSTRPCBBQ SCE', 0.9274298548698425)], [[[886.0, 1021.0], [1027.0, 1018.0], [1028.0, 1055.0], [887.0, 1058.0]], ('3.96F', 0.9909452199935913)], [[[151.0, 1069.0], [466.0, 1069.0], [466.0, 1097.0], [151.0, 1097.0]], ('Re9Pr1ce14.76', 0.8876424431800842)], [[[562.0, 1066.0], [863.0, 1063.0], [864.0, 1097.0], [563.0, 1100.0]], ('CardSav 10.80', 0.9172950387001038)], [[[147.0, 1106.0], [788.0, 1106.0], [788.0, 1138.0], [147.0, 1138.0]], ('2@.99KCBBQSAUCESWT/T', 0.9617981910705566)], [[[889.0, 1101.0], [1030.0, 1098.0], [1030.0, 1135.0], [889.0, 1138.0]], ('1.98F', 0.9880973100662231)], [[[147.0, 1149.0], [444.0, 1149.0], [444.0, 1181.0], [147.0, 1181.0]], ('RegPrice7.38', 0.940822184085846)], [[[562.0, 1148.0], [844.0, 1145.0], [844.0, 1180.0], [563.0, 1182.0]], ('CardSav5.40', 0.952827513217926)], [[[143.0, 1186.0], [260.0, 1189.0], [260.0, 1221.0], [142.0, 1218.0]], ('20.99', 0.9856777191162109)], [[[324.0, 1192.0], [572.0, 1192.0], [572.0, 1220.0], [324.0, 1220.0]], ('KC MSTRPC', 0.930724024772644)], [[[559.0, 1192.0], [750.0, 1192.0], [750.0, 1220.0], [559.0, 1220.0]], ('BBQ SAUC', 0.9373077750205994)], [[[891.0, 1185.0], [1033.0, 1182.0], [1034.0, 1220.0], [892.0, 1223.0]], ('1.98F', 0.9260748624801636)], [[[141.0, 1231.0], [445.0, 1228.0], [445.0, 1265.0], [142.0, 1268.0]], ('ResPrice7.38', 0.9475390911102295)], [[[564.0, 1231.0], [846.0, 1226.0], [847.0, 1262.0], [564.0, 1267.0]], ('CardSav 5.40', 0.9542681574821472)]]	{"store_name": "SAFEWAY", "store_addr": "", "telephone": "408-867-0180", "date": "", "time": "", "subtotal": "", "tax": "", "total": "", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "BCWARMDELIGHTS", "item_value": "1.64", "item_quantity": "1"}, {"item_key": "", "item_name": "RITZCHIPS", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "WHTTHINSCHPPARM", "item_value": "2.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BBQSAUCE", "item_value": ".99", "item_quantity": "1"}, {"item_key": "", "item_name": "2@.99KCBBQSCE", "item_value": "1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "2@.99KCMSTRPCBBQSCE", "item_value": "1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "4@.99KCMSTRPCBBQSCE", "item_value": "3.96", "item_quantity": "1"}, {"item_key": "", "item_name": "2@.99KCBBQSAUCESWT/T", "item_value": "1.98", "item_quantity": "1"}, {"item_key": "", "item_name": "2@.99KCMSTRPCBBQSAUC.", "item_value": "1.98", "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	[[[[102.0, 33.0], [214.0, 33.0], [214.0, 46.0], [102.0, 46.0]], ('BUDDHA BAR LONDON', 0.9561828374862671)], [[[126.0, 54.0], [189.0, 54.0], [189.0, 65.0], [126.0, 65.0]], ('103675222', 0.7093948721885681)], [[[130.0, 68.0], [184.0, 68.0], [184.0, 78.0], [130.0, 78.0]], ('Cate:29/08/2014', 0.9238768219947815)], [[[133.0, 77.0], [183.0, 77.0], [183.0, 88.0], [133.0, 88.0]], ('Tine:21:20:42', 0.8449710607528687)], [[[84.0, 97.0], [118.0, 97.0], [118.0, 108.0], [84.0, 108.0]], ('Table 323', 0.877020001411438)], [[[84.0, 107.0], [145.0, 107.0], [145.0, 119.0], [84.0, 119.0]], ('Trans 102073002', 0.9360243082046509)], [[[84.0, 115.0], [119.0, 118.0], [118.0, 132.0], [83.0, 129.0]], ('Covers:2', 0.9268525838851929)], [[[84.0, 127.0], [137.0, 127.0], [137.0, 138.0], [84.0, 138.0]], ('Paid By:Claudia', 0.7819041609764099)], [[[84.0, 147.0], [126.0, 147.0], [126.0, 158.0], [84.0, 158.0]], ('StillNater', 0.7303504943847656)], [[[196.0, 146.0], [229.0, 146.0], [229.0, 157.0], [196.0, 157.0]], ('14.50', 0.9211603403091431)], [[[84.0, 156.0], [163.0, 156.0], [163.0, 169.0], [84.0, 169.0]], ('CablisFrance-125', 0.7987184524536133)], [[[85.0, 165.0], [189.0, 165.0], [189.0, 178.0], [85.0, 178.0]], ('61Pinot No1rFrance125', 0.7739425897598267)], [[[197.0, 156.0], [229.0, 156.0], [229.0, 167.0], [197.0, 167.0]], ('18.60', 0.8864873051643372)], [[[195.0, 173.0], [230.0, 173.0], [230.0, 183.0], [195.0, 183.0]], ('110.50', 0.9224546551704407)], [[[84.0, 183.0], [119.0, 183.0], [119.0, 193.0], [84.0, 193.0]], ('Miso Soup', 0.8651983737945557)], [[[84.0, 192.0], [122.0, 192.0], [122.0, 202.0], [84.0, 202.0]], ('DctopusN1', 0.8531022071838379)], [[[194.0, 190.0], [232.0, 190.0], [232.0, 200.0], [194.0, 200.0]], ('111.00', 0.9356389045715332)], [[[196.0, 183.0], [229.0, 183.0], [229.0, 190.0], [196.0, 190.0]], ('17.80', 0.6827754378318787)], [[[82.0, 200.0], [137.0, 200.0], [137.0, 210.0], [82.0, 210.0]], ('Callfornta Kaki', 0.7678253054618835)], [[[194.0, 198.0], [232.0, 198.0], [232.0, 209.0], [194.0, 209.0]], ('1.0-216.50', 0.7160941958427429)], [[[83.0, 209.0], [137.0, 209.0], [137.0, 219.0], [83.0, 219.0]], ('Buccha Bar Mak', 0.7827798128128052)], [[[194.0, 208.0], [232.0, 208.0], [232.0, 219.0], [194.0, 219.0]], ('123.50', 0.9543632864952087)], [[[82.0, 218.0], [141.0, 218.0], [141.0, 229.0], [82.0, 229.0]], (' Beet Tartare', 0.8780578374862671)], [[[195.0, 217.0], [233.0, 217.0], [233.0, 227.0], [195.0, 227.0]], ('115.00', 0.9180870652198792)], [[[81.0, 228.0], [153.0, 227.0], [153.0, 238.0], [81.0, 239.0]], ('Love Food Gtve Food', 0.9087886810302734)], [[[198.0, 227.0], [233.0, 227.0], [233.0, 238.0], [198.0, 238.0]], ('101.00', 0.9200264811515808)], [[[81.0, 244.0], [116.0, 246.0], [116.0, 260.0], [80.0, 258.0]], ('Sutotal:', 0.9296202063560486)], [[[210.0, 246.0], [234.0, 246.0], [234.0, 257.0], [210.0, 257.0]], ('98.10', 0.9581915736198425)], [[[209.0, 256.0], [234.0, 256.0], [234.0, 267.0], [209.0, 267.0]], ('213.11', 0.8640792369842529)], [[[80.0, 275.0], [107.0, 275.0], [107.0, 295.0], [80.0, 295.0]], ('Total:', 0.9733801484107971)], [[[205.0, 273.0], [236.0, 273.0], [236.0, 292.0], [205.0, 292.0]], ('111.21', 0.9351020455360413)], [[[79.0, 300.0], [164.0, 300.0], [164.0, 313.0], [79.0, 313.0]], ('VAT inc luded in.total:', 0.8284030556678772)], [[[211.0, 297.0], [240.0, 297.0], [240.0, 311.0], [211.0, 311.0]], ('216.10', 0.8072249293327332)], [[[152.0, 322.0], [244.0, 319.0], [244.0, 332.0], [152.0, 335.0]], ('VAT Reg No138 089 394', 0.9042294025421143)], [[[107.0, 345.0], [208.0, 342.0], [208.0, 355.0], [108.0, 358.0]], ('THANK YOU FOR YOUR CUSTOM', 0.8693686127662659)]]	{"store_name": "BUDOHABARLONDON", "store_addr": "", "telephone": "", "date": "29/08/2014", "time": "21:20:42", "subtotal": "\u00a398.10", "tax": "\u00a316.18", "total": "\u00a3111.21", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "LoveFoodGiveFood", "item_value": "\u00a34.50", "item_quantity": "1"}, {"item_key": "", "item_name": "StillMater", "item_value": "\u00a38.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a310.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a37.80", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a311.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a316.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a323.50", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a315.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "\u00a31.00", "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	[[[[78.0, 38.0], [189.0, 40.0], [189.0, 58.0], [78.0, 56.0]], ('DCATE', 0.8225021362304688)], [[[161.0, 71.0], [296.0, 71.0], [296.0, 130.0], [161.0, 130.0]], ('0570', 0.9986140131950378)], [[[72.0, 109.0], [144.0, 111.0], [144.0, 128.0], [72.0, 126.0]], (' No.', 0.5445603728294373)], [[[127.0, 143.0], [282.0, 141.0], [282.0, 158.0], [127.0, 160.0]], ('ank you for catng at', 0.8357833623886108)], [[[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', 0.7807693481445312)], [[[150.0, 192.0], [252.0, 190.0], [252.0, 207.0], [150.0, 209.0]], ('City of London', 0.8514615297317505)], [[[170.0, 210.0], [230.0, 208.0], [230.0, 225.0], [170.0, 227.0]], ('EC2MPY', 0.8633784651756287)], [[[136.0, 229.0], [272.0, 224.0], [272.0, 241.0], [136.0, 246.0]], ('Phon:02073779562', 0.8824871778488159)], [[[114.0, 246.0], [287.0, 242.0], [287.0, 259.0], [114.0, 263.0]], ('Fa00444k.cd.com', 0.8593603372573853)], [[[165.0, 280.0], [245.0, 279.0], [245.0, 297.0], [165.0, 298.0]], ('TAX INVOICE', 0.9393404126167297)], [[[149.0, 300.0], [250.0, 297.0], [251.0, 325.0], [150.0, 328.0]], ('RECEIPT', 0.9970489144325256)], [[[63.0, 345.0], [344.0, 343.0], [344.0, 360.0], [63.0, 362.0]], ('RGDat0//08/2012 1e13:2901', 0.8115203380584717)], [[[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', 0.8688812255859375)], [[[73.0, 400.0], [192.0, 403.0], [192.0, 420.0], [73.0, 417.0]], ('CH DDAR DELUXE', 0.8562431931495667)], [[[314.0, 401.0], [349.0, 401.0], [349.0, 420.0], [314.0, 420.0]], ('3.69', 0.9936683773994446)], [[[56.0, 436.0], [217.0, 442.0], [217.0, 459.0], [56.0, 453.0]], ('UI lota1 1ncl VAl', 0.6178604364395142)], [[[316.0, 439.0], [351.0, 439.0], [351.0, 459.0], [316.0, 459.0]], ('3.69', 0.9628877639770508)], [[[56.0, 458.0], [127.0, 458.0], [127.0, 476.0], [56.0, 476.0]], ('Pald GBP', 0.9100956916809082)], [[[316.0, 460.0], [352.0, 460.0], [352.0, 479.0], [316.0, 479.0]], ('5.00', 0.9958302974700928)], [[[318.0, 480.0], [352.0, 480.0], [352.0, 500.0], [318.0, 500.0]], ('1.31', 0.993706226348877)], [[[55.0, 521.0], [217.0, 521.0], [217.0, 538.0], [55.0, 538.0]], ('AI mber3/1057172', 0.7971950769424438)], [[[162.0, 542.0], [196.0, 542.0], [196.0, 561.0], [162.0, 561.0]], ('TAXX', 0.831982433795929)], [[[231.0, 543.0], [278.0, 543.0], [278.0, 561.0], [231.0, 561.0]], ('AMOUNT', 0.990590512752533)], [[[321.0, 543.0], [349.0, 543.0], [349.0, 564.0], [321.0, 564.0]], ('TAX', 0.9747843742370605)], [[[54.0, 564.0], [178.0, 564.0], [178.0, 581.0], [54.0, 581.0]], ('INCL.TAX:20.00%', 0.8811233639717102)], [[[230.0, 564.0], [265.0, 564.0], [265.0, 583.0], [230.0, 583.0]], ('3.07', 0.9971082210540771)], [[[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", 0.9316704869270325)], [[[145.0, 631.0], [267.0, 631.0], [267.0, 651.0], [145.0, 651.0]], ('11-59 High Road', 0.8660860061645508)], [[[173.0, 652.0], [228.0, 654.0], [227.0, 675.0], [172.0, 673.0]], ('London', 0.9961013793945312)], [[[174.0, 676.0], [228.0, 676.0], [228.0, 697.0], [174.0, 697.0]], ('N28AW', 0.9220597147941589)], [[[127.0, 701.0], [283.0, 699.0], [283.0, 719.0], [127.0, 721.0]], ('www.mcdonalds.co.uk', 0.9385334849357605)]]	{"store_name": "McDonald's", "store_addr": "Unit25TheConcourse CityofLondon EC2M7PY", "telephone": "02073779562", "date": "07/08/2012", "time": "13:29:01", "subtotal": "3.07", "tax": "0.62", "total": "3.69", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "CHEDDARDELUXE", "item_value": "3.69", "item_quantity": "1"}, {"item_key": "TIEM", "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	[[[[16.0, 0.0], [198.0, 2.0], [198.0, 16.0], [16.0, 13.0]], ('Check:0000000c14000052810', 0.9760107398033142)], [[[15.0, 13.0], [108.0, 15.0], [107.0, 32.0], [14.0, 30.0]], ('Store:CPKMOE', 0.9507148861885071)], [[[14.0, 27.0], [159.0, 29.0], [159.0, 43.0], [13.0, 41.0]], ('Server:101714/Bernad', 0.9707688093185425)], [[[170.0, 18.0], [255.0, 20.0], [254.0, 34.0], [170.0, 32.0]], ('Terminal:C12', 0.9499068856239319)], [[[13.0, 39.0], [160.0, 42.0], [160.0, 56.0], [12.0, 53.0]], ('Date11-09-164:38', 0.9657289981842041)], [[[170.0, 42.0], [279.0, 44.0], [278.0, 58.0], [170.0, 56.0]], ('Ord.T1me:4:38', 0.9062240123748779)], [[[12.0, 54.0], [79.0, 54.0], [79.0, 68.0], [12.0, 68.0]], ('Table70', 0.9907764792442322)], [[[172.0, 57.0], [230.0, 57.0], [230.0, 71.0], [172.0, 71.0]], ('Guest4', 0.9864667057991028)], [[[10.0, 67.0], [155.0, 69.0], [154.0, 86.0], [10.0, 84.0]], ('Sales Type: TERRACE', 0.9327678680419922)], [[[11.0, 119.0], [86.0, 119.0], [86.0, 137.0], [11.0, 137.0]], ('Qty Item', 0.9370843768119812)], [[[192.0, 120.0], [232.0, 120.0], [232.0, 138.0], [192.0, 138.0]], ('Price', 0.9981058835983276)], [[[248.0, 120.0], [292.0, 120.0], [292.0, 138.0], [248.0, 138.0]], ('Amount', 0.9974974989891052)], [[[28.0, 155.0], [174.0, 155.0], [174.0, 169.0], [28.0, 169.0]], ('1 Jamaican Jerk Chick', 0.9421152472496033)], [[[193.0, 153.0], [231.0, 153.0], [231.0, 171.0], [193.0, 171.0]], ('56.00', 0.9946972131729126)], [[[254.0, 154.0], [291.0, 154.0], [291.0, 169.0], [254.0, 169.0]], ('56.00', 0.9825989007949829)], [[[30.0, 172.0], [176.0, 172.0], [176.0, 186.0], [30.0, 186.0]], ('1 Lobster Penne Pasta', 0.9329853057861328)], [[[193.0, 169.0], [231.0, 169.0], [231.0, 187.0], [193.0, 187.0]], ('65.00', 0.9919483065605164)], [[[254.0, 171.0], [291.0, 171.0], [291.0, 186.0], [254.0, 186.0]], ('65.00', 0.9954126477241516)], [[[32.0, 189.0], [176.0, 189.0], [176.0, 203.0], [32.0, 203.0]], ('1 Fire Grilied Ribeye', 0.9039728045463562)], [[[188.0, 187.0], [229.0, 187.0], [229.0, 202.0], [188.0, 202.0]], ('109.00', 0.9844048619270325)], [[[248.0, 187.0], [289.0, 187.0], [289.0, 202.0], [248.0, 202.0]], ('109.00', 0.9837602972984314)], [[[34.0, 204.0], [110.0, 204.0], [110.0, 218.0], [34.0, 218.0]], ('1 Wel1 Done', 0.8389028310775757)], [[[200.0, 202.0], [229.0, 202.0], [229.0, 217.0], [200.0, 217.0]], ('0.00', 0.9943621158599854)], [[[258.0, 202.0], [289.0, 202.0], [289.0, 217.0], [258.0, 217.0]], ('0.00', 0.9955360889434814)], [[[50.0, 218.0], [176.0, 216.0], [176.0, 233.0], [50.0, 235.0]], ('-->Shoestring frie', 0.9604782462120056)], [[[200.0, 217.0], [230.0, 217.0], [230.0, 232.0], [200.0, 232.0]], ('0.00', 0.9957202672958374)], [[[260.0, 217.0], [292.0, 217.0], [292.0, 232.0], [260.0, 232.0]], ('0.00', 0.9953006505966187)], [[[53.0, 235.0], [169.0, 235.0], [169.0, 249.0], [53.0, 249.0]], ('->PREP-ROASTED', 0.9291774034500122)], [[[200.0, 233.0], [231.0, 233.0], [231.0, 248.0], [200.0, 248.0]], ('0.00', 0.9466508626937866)], [[[261.0, 232.0], [293.0, 232.0], [293.0, 247.0], [261.0, 247.0]], ('0.00', 0.9910316467285156)], [[[30.0, 250.0], [176.0, 249.0], [176.0, 266.0], [30.0, 267.0]], ('1 Fountain Soda Coke-', 0.9490426182746887)], [[[197.0, 249.0], [232.0, 249.0], [232.0, 264.0], [197.0, 264.0]], ('15.00', 0.996959388256073)], [[[258.0, 248.0], [295.0, 248.0], [295.0, 263.0], [258.0, 263.0]], ('15.00', 0.9934561848640442)], [[[28.0, 267.0], [177.0, 265.0], [177.0, 282.0], [28.0, 284.0]], ('1 Fountain Soda Sprit', 0.9616581797599792)], [[[197.0, 266.0], [233.0, 266.0], [233.0, 281.0], [197.0, 281.0]], ('15.00', 0.9931631088256836)], [[[259.0, 265.0], [296.0, 265.0], [296.0, 280.0], [259.0, 280.0]], ('15.00', 0.9951125383377075)], [[[26.0, 285.0], [150.0, 283.0], [150.0, 300.0], [26.0, 302.0]], ('1 Cucumber Cooler', 0.9448716640472412)], [[[196.0, 282.0], [235.0, 282.0], [235.0, 300.0], [196.0, 300.0]], ('23.00', 0.997358500957489)], [[[258.0, 281.0], [299.0, 281.0], [299.0, 299.0], [258.0, 299.0]], ('23.00', 0.9967995882034302)], [[[26.0, 304.0], [113.0, 304.0], [113.0, 318.0], [26.0, 318.0]], ('1 Arwa Large', 0.9346478581428528)], [[[197.0, 299.0], [236.0, 299.0], [236.0, 317.0], [197.0, 317.0]], ('15.00', 0.9944953918457031)], [[[262.0, 300.0], [299.0, 300.0], [299.0, 315.0], [262.0, 315.0]], ('15.00', 0.9927982091903687)], [[[10.0, 339.0], [77.0, 339.0], [77.0, 357.0], [10.0, 357.0]], ('Total AED', 0.9196929931640625)], [[[234.0, 335.0], [281.0, 335.0], [281.0, 354.0], [234.0, 354.0]], ('298.00', 0.996957004070282)], [[[4.0, 376.0], [37.0, 376.0], [37.0, 396.0], [4.0, 396.0]], ('Tips', 0.9964930415153503)], [[[3.0, 414.0], [82.0, 416.0], [81.0, 434.0], [3.0, 432.0]], ('Total Tips', 0.9572113752365112)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "11-09-16", "time": "4:38 4:38", "subtotal": "", "tax": "", "total": "298.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "JamaicanJerkChick", "item_value": "56.00", "item_quantity": "1"}, {"item_key": "", "item_name": "LobsterPennePasta", "item_value": "65.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FireGrilledRibeye", "item_value": "109.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WellDone", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FountainSodaCoke-", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "FountainSodaSprit", "item_value": "0.00", "item_quantity": "1"}, {"item_key": "", "item_name": "CucumberCooler", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "ArwaLarge", "item_value": "15.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "23.00", "item_quantity": "1"}, {"item_key": "", "item_name": "", "item_value": "15.00", "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	[[[[86.0, 35.0], [389.0, 35.0], [389.0, 88.0], [86.0, 88.0]], ('Walmart', 0.9959007501602173)], [[[89.0, 100.0], [393.0, 98.0], [393.0, 122.0], [89.0, 123.0]], ('Save money.Live better', 0.9210229516029358)], [[[158.0, 153.0], [390.0, 153.0], [390.0, 176.0], [158.0, 176.0]], ('7175618402', 0.9847405552864075)], [[[148.0, 178.0], [388.0, 176.0], [388.0, 196.0], [148.0, 198.0]], ('MANAGER MARK ELIAZO', 0.9270113110542297)], [[[172.0, 200.0], [366.0, 200.0], [366.0, 223.0], [172.0, 223.0]], ('6536GRAYS0N RD', 0.9135372042655945)], [[[146.0, 224.0], [389.0, 221.0], [389.0, 244.0], [146.0, 246.0]], ('HARRISBURGPA17111', 0.9799654483795166)], [[[33.0, 248.0], [521.0, 246.0], [521.0, 268.0], [33.0, 271.0]], ('ST15910P00003921TE26TR03074', 0.9764233231544495)], [[[32.0, 272.0], [353.0, 271.0], [353.0, 293.0], [32.0, 294.0]], ('ROTSYN5W40 002140075555', 0.9588265419006348)], [[[430.0, 270.0], [522.0, 270.0], [522.0, 293.0], [430.0, 293.0]], ('11.36T', 0.9827098250389099)], [[[32.0, 295.0], [352.0, 293.0], [352.0, 315.0], [32.0, 318.0]], ('ROTSYN 5W40 002140075555', 0.9494268894195557)], [[[431.0, 294.0], [521.0, 294.0], [521.0, 314.0], [431.0, 314.0]], ('11.36T', 0.9132333397865295)], [[[33.0, 319.0], [353.0, 317.0], [353.0, 339.0], [33.0, 341.0]], ('ROTSYN5W40 002140075555', 0.9574833512306213)], [[[430.0, 317.0], [523.0, 317.0], [523.0, 340.0], [430.0, 340.0]], ('11.36T', 0.9742141366004944)], [[[32.0, 342.0], [354.0, 340.0], [354.0, 362.0], [32.0, 365.0]], ('ROT SYN5W40002140075555', 0.9463303685188293)], [[[430.0, 340.0], [522.0, 340.0], [522.0, 364.0], [430.0, 364.0]], ('11.36T', 0.9717817902565002)], [[[263.0, 362.0], [366.0, 365.0], [366.0, 388.0], [262.0, 386.0]], ('SUBTOTAL', 0.9968591928482056)], [[[431.0, 362.0], [497.0, 362.0], [497.0, 386.0], [431.0, 386.0]], ('45.44', 0.9893817901611328)], [[[148.0, 387.0], [216.0, 387.0], [216.0, 412.0], [148.0, 412.0]], ('TAX1', 0.9926510453224182)], [[[251.0, 389.0], [344.0, 389.0], [344.0, 409.0], [251.0, 409.0]], ('6.000%', 0.9907574653625488)], [[[443.0, 387.0], [497.0, 387.0], [497.0, 408.0], [443.0, 408.0]], ('2.73', 0.9954618811607361)], [[[303.0, 409.0], [366.0, 409.0], [366.0, 434.0], [303.0, 434.0]], ('TOTAL', 0.9981195330619812)], [[[431.0, 409.0], [497.0, 409.0], [497.0, 433.0], [431.0, 433.0]], ('48.17', 0.9962062835693359)], [[[239.0, 433.0], [298.0, 433.0], [298.0, 458.0], [239.0, 458.0]], ('VISA', 0.9943907260894775)], [[[289.0, 434.0], [369.0, 434.0], [369.0, 458.0], [289.0, 458.0]], ('TEND', 0.8969624638557434)], [[[430.0, 433.0], [497.0, 433.0], [497.0, 456.0], [430.0, 456.0]], ('48.17', 0.9889488220214844)], [[[34.0, 482.0], [153.0, 480.0], [153.0, 503.0], [35.0, 506.0]], ('ACCOUNT#', 0.9908344149589539)], [[[35.0, 507.0], [255.0, 506.0], [255.0, 528.0], [35.0, 529.0]], ('APPR0VAL#15650A', 0.9598433375358582)], [[[35.0, 531.0], [267.0, 529.0], [267.0, 551.0], [35.0, 554.0]], ('REF204200562016', 0.99553382396698)], [[[35.0, 555.0], [380.0, 550.0], [381.0, 573.0], [35.0, 577.0]], ('TRANSID-0282042725796597', 0.9719409942626953)], [[[35.0, 577.0], [255.0, 575.0], [255.0, 598.0], [35.0, 601.0]], ('VALIDATION-3QBR', 0.946617066860199)], [[[35.0, 602.0], [280.0, 600.0], [280.0, 622.0], [35.0, 624.0]], ('PAYMENTSERVICE-E', 0.9869450926780701)], [[[36.0, 624.0], [280.0, 623.0], [280.0, 645.0], [36.0, 647.0]], ('TERMINAL#20001306', 0.9491462707519531)], [[[139.0, 669.0], [244.0, 669.0], [244.0, 693.0], [139.0, 693.0]], ('02/11/12', 0.9976129531860352)], [[[306.0, 669.0], [409.0, 669.0], [409.0, 693.0], [306.0, 693.0]], ('15:09:48', 0.948366641998291)], [[[243.0, 715.0], [372.0, 715.0], [372.0, 738.0], [243.0, 738.0]], ('CHANGEDUE', 0.9842293858528137)], [[[446.0, 714.0], [502.0, 714.0], [502.0, 738.0], [446.0, 738.0]], ('0.00', 0.9950700402259827)], [[[88.0, 765.0], [447.0, 765.0], [447.0, 803.0], [88.0, 803.0]], ('# ITEMS SOLD 4', 0.9696983098983765)], [[[89.0, 831.0], [448.0, 829.0], [448.0, 851.0], [89.0, 854.0]], ('TC#75753471195354036328', 0.9743647575378418)], [[[37.0, 921.0], [510.0, 920.0], [510.0, 943.0], [38.0, 944.0]], ('Low prices.Every day. On everything.', 0.8837974667549133)], [[[64.0, 945.0], [481.0, 943.0], [481.0, 965.0], [64.0, 968.0]], ('Backed by our Ad Match Guarantee', 0.9294230341911316)], [[[140.0, 968.0], [246.0, 968.0], [246.0, 991.0], [140.0, 991.0]], ('02/11/12', 0.9971213340759277)], [[[309.0, 967.0], [414.0, 967.0], [414.0, 990.0], [309.0, 990.0]], ('15:09:48', 0.9601179361343384)], [[[155.0, 1014.0], [398.0, 1012.0], [398.0, 1035.0], [156.0, 1036.0]], ('CUSTOMER COPY**', 0.9104657173156738)]]	{"store_name": "Walmart", "store_addr": "HARRISBURGPA17111 6535GRAYSONRD", "telephone": "(717)561-8402", "date": "02/11/12 02/11/12", "time": "15:09:48 15:09:48", "subtotal": "45.44", "tax": "2.73", "total": "48.17 48.17", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ROTSYN5W40", "item_value": "11.36", "item_quantity": "1"}, {"item_key": "", "item_name": "ROTSYN5W40", "item_value": "11.36", "item_quantity": "1"}, {"item_key": "", "item_name": "ROTSYN5W40", "item_value": "11.36", "item_quantity": "1"}, {"item_key": "", "item_name": "ROTSYN5W40", "item_value": "11.36", "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	[[[[497.0, 479.0], [1101.0, 476.0], [1101.0, 524.0], [498.0, 526.0]], ('TELF0RD 03456779673', 0.9516413807868958)], [[[369.0, 557.0], [1238.0, 557.0], [1238.0, 613.0], [369.0, 613.0]], ('Why not try grocery shopping', 0.9595154523849487)], [[[592.0, 605.0], [1006.0, 602.0], [1006.0, 650.0], [593.0, 652.0]], ('at Tesco.com?', 0.967290997505188)], [[[332.0, 647.0], [1269.0, 647.0], [1269.0, 694.0], [332.0, 694.0]], ('1 hour delivery slots from 1,', 0.9146663546562195)], [[[316.0, 686.0], [1283.0, 695.0], [1282.0, 748.0], [316.0, 739.0]], ('Free Click + Collect groceries', 0.9477164149284363)], [[[366.0, 739.0], [1227.0, 745.0], [1226.0, 793.0], [366.0, 787.0]], ('when you spend 25 or more.', 0.9454154372215271)], [[[177.0, 778.0], [1414.0, 798.0], [1413.0, 854.0], [176.0, 834.0]], ('Selected stores at selected times only', 0.956528902053833)], [[[423.0, 837.0], [1177.0, 852.0], [1176.0, 908.0], [422.0, 893.0]], ('Subject to availability', 0.9665790796279907)], [[[149.0, 999.0], [573.0, 1011.0], [572.0, 1070.0], [148.0, 1058.0]], ('WII U 11605', 0.9133159518241882)], [[[1127.0, 1019.0], [1361.0, 1025.0], [1360.0, 1087.0], [1125.0, 1080.0]], ('239.00', 0.9952009320259094)], [[[79.0, 1064.0], [964.0, 1078.0], [963.0, 1137.0], [78.0, 1123.0]], ('THE NEXT ITEM IS CANCELLED', 0.9566076993942261)], [[[144.0, 1125.0], [568.0, 1137.0], [566.0, 1196.0], [142.0, 1184.0]], ('WII U 11605', 0.9197381734848022)], [[[1104.0, 1151.0], [1361.0, 1151.0], [1361.0, 1210.0], [1104.0, 1210.0]], ('-239.00', 0.9325408935546875)], [[[144.0, 1189.0], [531.0, 1202.0], [530.0, 1261.0], [142.0, 1248.0]], ('WII U 11384', 0.9282341599464417)], [[[1157.0, 1212.0], [1361.0, 1212.0], [1361.0, 1274.0], [1157.0, 1274.0]], ('84.00', 0.9944737553596497)], [[[140.0, 1324.0], [319.0, 1324.0], [319.0, 1386.0], [140.0, 1386.0]], ('TOTAL', 0.9987426996231079)], [[[1157.0, 1336.0], [1361.0, 1336.0], [1361.0, 1397.0], [1157.0, 1397.0]], ('84.00', 0.991923451423645)], [[[140.0, 1392.0], [461.0, 1392.0], [461.0, 1448.0], [140.0, 1448.0]], ('VISA SALE', 0.9549437761306763)], [[[1154.0, 1400.0], [1361.0, 1400.0], [1361.0, 1459.0], [1154.0, 1459.0]], ('84.00', 0.995383620262146)], [[[140.0, 1456.0], [489.0, 1456.0], [489.0, 1515.0], [140.0, 1515.0]], ('CHANGE DUE', 0.960055947303772)], [[[1188.0, 1462.0], [1364.0, 1462.0], [1364.0, 1523.0], [1188.0, 1523.0]], ('0.00', 0.9407522082328796)], [[[294.0, 1587.0], [1300.0, 1599.0], [1298.0, 1703.0], [293.0, 1691.0]], ('This is your Proof of Purchase', 0.9490956664085388)], [[[515.0, 1710.0], [1071.0, 1717.0], [1069.0, 1832.0], [514.0, 1825.0]], ('Please Keep Safe', 0.9488027095794678)], [[[550.0, 1899.0], [924.0, 1892.0], [925.0, 1954.0], [551.0, 1960.0]], ('WII U 11384', 0.9129965305328369)], [[[1059.0, 1912.0], [1084.0, 1912.0], [1084.0, 1946.0], [1059.0, 1946.0]], ('X', 0.5024404525756836)], [[[712.0, 2372.0], [1014.0, 2372.0], [1014.0, 2439.0], [712.0, 2439.0]], ('496311384', 0.988469660282135)], [[[645.0, 2526.0], [1312.0, 2505.0], [1314.0, 2573.0], [647.0, 2593.0]], ('orage Product', 0.9218283295631409)], [[[628.0, 2602.0], [950.0, 2586.0], [954.0, 2656.0], [631.0, 2672.0]], ('Type A', 0.9461207389831543)], [[[1249.0, 2640.0], [1425.0, 2640.0], [1425.0, 2687.0], [1249.0, 2687.0]], ('Mind', 0.9966372847557068)]]	{"store_name": "", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "\u00a384.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "WIIU11384", "item_value": "\u00a384.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WIIU11605", "item_value": "-\u00a3239.00", "item_quantity": "1"}, {"item_key": "", "item_name": "WIIU11605*", "item_value": "\u00a3239.00", "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	[[[[1115.0, 51.0], [1934.0, 34.0], [1936.0, 171.0], [1118.0, 188.0]], ('TARGETL', 0.8528251051902771)], [[[1139.0, 195.0], [1939.0, 182.0], [1940.0, 249.0], [1140.0, 261.0]], ('EXPECT MORE.PAY LESS:', 0.9288514256477356)], [[[600.0, 459.0], [2176.0, 431.0], [2178.0, 509.0], [602.0, 537.0]], ('NORTHBRUNSWICK-732-798-2558', 0.9767350554466248)], [[[1545.0, 526.0], [1985.0, 517.0], [1987.0, 599.0], [1546.0, 607.0]], ('11:50AM', 0.9717507362365723)], [[[807.0, 541.0], [1345.0, 532.0], [1347.0, 610.0], [809.0, 619.0]], ('10/20/2015', 0.9986048936843872)], [[[164.0, 988.0], [1576.0, 984.0], [1577.0, 1073.0], [164.0, 1078.0]], ('ENTERTAINMENT-ELECTRONICS', 0.9936209321022034)], [[[2122.0, 1070.0], [2468.0, 1061.0], [2471.0, 1158.0], [2125.0, 1168.0]], ('$24.98', 0.9955403804779053)], [[[160.0, 1089.0], [675.0, 1089.0], [675.0, 1167.0], [160.0, 1167.0]], ('008065555', 0.9988545179367065)], [[[1073.0, 1085.0], [1299.0, 1085.0], [1299.0, 1171.0], [1073.0, 1171.0]], ('ASUS', 0.997113049030304)], [[[1912.0, 1089.0], [1967.0, 1089.0], [1967.0, 1144.0], [1912.0, 1144.0]], ('I', 0.8245862126350403)], [[[1007.0, 1175.0], [2029.0, 1167.0], [2029.0, 1260.0], [1007.0, 1268.0]], ('RETURN BY11/19/15', 0.9669445157051086)], [[[2145.0, 1347.0], [2506.0, 1333.0], [2510.0, 1442.0], [2149.0, 1456.0]], ('$24.98', 0.9933137893676758)], [[[1525.0, 1362.0], [1977.0, 1353.0], [1979.0, 1450.0], [1527.0, 1459.0]], ('SUBTOTAL', 0.9957022070884705)], [[[2208.0, 1444.0], [2515.0, 1434.0], [2518.0, 1543.0], [2211.0, 1553.0]], ('$1.75', 0.9964106678962708)], [[[238.0, 1462.0], [1647.0, 1466.0], [1647.0, 1560.0], [238.0, 1556.0]], ('T=NJTAX7.0000% 0n', 0.9231958985328674)], [[[1630.0, 1463.0], [1992.0, 1454.0], [1995.0, 1551.0], [1633.0, 1560.0]], ('$24.98', 0.9950793385505676)], [[[1696.0, 1557.0], [2003.0, 1547.0], [2007.0, 1656.0], [1700.0, 1666.0]], ('TOTAL', 0.9983852505683899)], [[[2165.0, 1549.0], [2531.0, 1539.0], [2533.0, 1648.0], [2168.0, 1658.0]], ('$26.73', 0.99778151512146)], [[[2184.0, 1755.0], [2554.0, 1746.0], [2557.0, 1843.0], [2187.0, 1852.0]], ('$26.73', 0.9975614547729492)], [[[281.0, 1782.0], [2009.0, 1762.0], [2010.0, 1855.0], [282.0, 1875.0]], ('*7524 DISCOVER NETWORK CHARGE', 0.9242477416992188)], [[[1365.0, 1871.0], [2566.0, 1851.0], [2568.0, 1956.0], [1367.0, 1976.0]], ('AIDA0000001523010', 0.9979397058486938)], [[[1365.0, 1984.0], [1848.0, 1975.0], [1850.0, 2073.0], [1367.0, 2081.0]], ('Discover', 0.9962984323501587)], [[[2219.0, 2066.0], [2601.0, 2057.0], [2604.0, 2166.0], [2222.0, 2175.0]], ('02036B', 0.9908390045166016)], [[[1427.0, 2090.0], [2039.0, 2072.0], [2042.0, 2177.0], [1430.0, 2195.0]], ('AUTH CODE:', 0.9146097898483276)], [[[93.0, 2459.0], [2827.0, 2395.0], [2830.0, 2500.0], [95.0, 2564.0]], ('REC#2-5293-2853-0112-0924-0 VCD#751-255-144', 0.9786677956581116)], [[[904.0, 3424.0], [2612.0, 3387.0], [2615.0, 3531.0], [907.0, 3568.0]], ('WAS THIS TRIP-A-TREAT?', 0.956856369972229)], [[[332.0, 3512.0], [636.0, 3512.0], [636.0, 3715.0], [332.0, 3715.0]], ('.0', 0.6238577365875244)]]	{"store_name": "TARGET", "store_addr": "NORTHBRUNSWICK", "telephone": "732-798-2558", "date": "10/20/2015", "time": "11:50AM", "subtotal": "$24.98 $24.98", "tax": "$1.75", "total": "$26.73 $26.73", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ASUS", "item_value": "$24.98", "item_quantity": "1"}, {"item_key": "ENTERTAINMENT-ELECTRONICS", "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	[[[[89.0, 67.0], [153.0, 69.0], [152.0, 84.0], [88.0, 81.0]], ('TAX INVOICE', 0.9175360202789307)], [[[68.0, 79.0], [184.0, 82.0], [184.0, 97.0], [68.0, 93.0]], ('EXPRESS HOTEL PVT LID', 0.9081457853317261)], [[[26.0, 92.0], [226.0, 95.0], [226.0, 110.0], [26.0, 106.0]], ('MANDAP THALI201-INORBIT MALL ALEMBI', 0.8952710032463074)], [[[61.0, 105.0], [174.0, 109.0], [174.0, 123.0], [60.0, 119.0]], ('RDVAD0DARA-390016', 0.9552810788154602)], [[[30.0, 117.0], [217.0, 120.0], [217.0, 137.0], [30.0, 135.0]], ('EHAIL:reservationexpresswor ld.com', 0.8970617651939392)], [[[46.0, 130.0], [200.0, 134.0], [200.0, 149.0], [46.0, 146.0]], ('EBSITE:www.expressworld.com', 0.8786938190460205)], [[[82.0, 143.0], [165.0, 147.0], [165.0, 161.0], [81.0, 158.0]], ('PH:09512034902', 0.9607696533203125)], [[[9.0, 168.0], [142.0, 169.0], [142.0, 186.0], [9.0, 185.0]], ('Order NoK000008062', 0.9242079854011536)], [[[9.0, 182.0], [185.0, 184.0], [185.0, 198.0], [9.0, 196.0]], ('ORDERDATE27/12/20172:20PH', 0.9484270215034485)], [[[5.0, 209.0], [151.0, 207.0], [151.0, 228.0], [5.0, 230.0]], ('BILL NOIM00006189', 0.9124371409416199)], [[[6.0, 225.0], [126.0, 226.0], [126.0, 240.0], [6.0, 239.0]], ('DATE AND TIME PAX', 0.9246828556060791)], [[[6.0, 240.0], [130.0, 239.0], [130.0, 253.0], [6.0, 254.0]], ('27/12/20172:40PM', 0.9660607576370239)], [[[5.0, 257.0], [78.0, 254.0], [79.0, 272.0], [5.0, 275.0]], ('TABLE:009', 0.9031479358673096)], [[[6.0, 272.0], [95.0, 272.0], [95.0, 285.0], [6.0, 285.0]], ('CASHIER HITESH', 0.9703639149665833)], [[[6.0, 286.0], [117.0, 286.0], [117.0, 300.0], [6.0, 300.0]], ('WAITER RATAN SINGH', 0.9667624235153198)], [[[22.0, 315.0], [100.0, 315.0], [100.0, 329.0], [22.0, 329.0]], ('Qty Menu Item', 0.890407145023346)], [[[155.0, 314.0], [203.0, 314.0], [203.0, 328.0], [155.0, 328.0]], ('Rate', 0.9907045364379883)], [[[201.0, 313.0], [239.0, 313.0], [239.0, 327.0], [201.0, 327.0]], ('Amount', 0.9960243105888367)], [[[34.0, 345.0], [130.0, 345.0], [130.0, 358.0], [34.0, 358.0]], ('4 GUJARATI THALI', 0.9344844818115234)], [[[150.0, 343.0], [235.0, 341.0], [235.0, 356.0], [150.0, 357.0]], ('296.611186.44', 0.9910855889320374)], [[[39.0, 387.0], [74.0, 387.0], [74.0, 405.0], [39.0, 405.0]], ('Total', 0.9966958165168762)], [[[192.0, 387.0], [239.0, 383.0], [240.0, 402.0], [193.0, 405.0]], ('1186.44', 0.9810965657234192)], [[[35.0, 420.0], [64.0, 420.0], [64.0, 436.0], [35.0, 436.0]], ('FOOD', 0.9846178889274597)], [[[194.0, 417.0], [328.0, 423.0], [327.0, 443.0], [193.0, 437.0]], ('1185442-20171449', 0.830349862575531)]]	{"store_name": "EXPRESSHOTELPVTLTD", "store_addr": "RDVADODARA-390016 MANDAPTHALI,201-INORBITMALLALEMBI", "telephone": "09512034902", "date": "27/12/2017 27/12/2017", "time": "2:40PM", "subtotal": "", "tax": "", "total": "1186.44", "ignore": " 1186.44", "tips": "", "line_items": [{"item_key": "", "item_name": "GUJARATITHALI", "item_value": "1186.44", "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	[[[[104.0, 75.0], [219.0, 75.0], [219.0, 88.0], [104.0, 88.0]], ('www.drips.com.sg', 0.9726712703704834)], [[[100.0, 87.0], [222.0, 87.0], [222.0, 100.0], [100.0, 100.0]], ('Tiong Bahru Estate', 0.9465188980102539)], [[[78.0, 99.0], [246.0, 97.0], [246.0, 111.0], [78.0, 114.0]], ('82 Tiong Poh Road #01-05', 0.940403938293457)], [[[103.0, 112.0], [219.0, 110.0], [220.0, 125.0], [103.0, 126.0]], ('Singapore 160082', 0.9384379386901855)], [[[116.0, 125.0], [209.0, 125.0], [209.0, 138.0], [116.0, 138.0]], ('Tel:62220400', 0.9637842774391174)], [[[33.0, 144.0], [97.0, 144.0], [97.0, 155.0], [33.0, 155.0]], ('ACT#4452', 0.9540398716926575)], [[[33.0, 157.0], [110.0, 157.0], [110.0, 168.0], [33.0, 168.0]], ('TERMINAL#1', 0.9912886619567871)], [[[247.0, 154.0], [293.0, 154.0], [293.0, 168.0], [247.0, 168.0]], ('ONLINE', 0.9967353940010071)], [[[32.0, 169.0], [120.0, 169.0], [120.0, 182.0], [32.0, 182.0]], ('20/08/12(MON)', 0.9701461791992188)], [[[161.0, 168.0], [196.0, 168.0], [196.0, 182.0], [161.0, 182.0]], ('12:46', 0.8949998021125793)], [[[32.0, 182.0], [106.0, 182.0], [106.0, 193.0], [32.0, 193.0]], ('STAFF: Alfred', 0.8797785639762878)], [[[29.0, 203.0], [64.0, 203.0], [64.0, 214.0], [29.0, 214.0]], ('Latte', 0.9911649823188782)], [[[216.0, 200.0], [229.0, 200.0], [229.0, 214.0], [216.0, 214.0]], ('2', 0.9672031402587891)], [[[258.0, 199.0], [296.0, 199.0], [296.0, 213.0], [258.0, 213.0]], ('$9.60', 0.9895801544189453)], [[[55.0, 215.0], [129.0, 215.0], [129.0, 226.0], [55.0, 226.0]], ('SKINNY.B2', 0.9493085145950317)], [[[26.0, 227.0], [165.0, 226.0], [165.0, 240.0], [26.0, 241.0]], ('Blackberry Almond lart', 0.8739680647850037)], [[[220.0, 227.0], [230.0, 227.0], [230.0, 238.0], [220.0, 238.0]], ('1', 0.5902113914489746)], [[[259.0, 225.0], [298.0, 225.0], [298.0, 239.0], [259.0, 239.0]], ('$7.50', 0.9620436429977417)], [[[25.0, 242.0], [192.0, 239.0], [192.0, 252.0], [25.0, 255.0]], ('Crumbly Apple Crumble Tait', 0.8997535705566406)], [[[220.0, 240.0], [230.0, 240.0], [230.0, 251.0], [220.0, 251.0]], ('1', 0.9628708362579346)], [[[261.0, 239.0], [300.0, 239.0], [300.0, 253.0], [261.0, 253.0]], ('$750', 0.9688975214958191)], [[[24.0, 254.0], [142.0, 253.0], [142.0, 267.0], [24.0, 268.0]], ('Dessert Of The Day', 0.9185513257980347)], [[[220.0, 252.0], [233.0, 252.0], [233.0, 266.0], [220.0, 266.0]], ('1', 0.95783931016922)], [[[262.0, 252.0], [301.0, 252.0], [301.0, 266.0], [262.0, 266.0]], ('$7.80', 0.9841938018798828)], [[[48.0, 269.0], [127.0, 269.0], [127.0, 280.0], [48.0, 280.0]], ('>CHOPORT', 0.962894082069397)], [[[21.0, 282.0], [140.0, 281.0], [140.0, 295.0], [21.0, 296.0]], ('Cinnamon Pear Tart', 0.9182860255241394)], [[[223.0, 281.0], [232.0, 281.0], [232.0, 292.0], [223.0, 292.0]], ('1', 0.9106719493865967)], [[[265.0, 280.0], [306.0, 280.0], [306.0, 294.0], [265.0, 294.0]], ('$7.50', 0.9802500009536743)], [[[20.0, 300.0], [88.0, 298.0], [88.0, 313.0], [20.0, 315.0]], ('SUB TOTAL', 0.9526980519294739)], [[[258.0, 297.0], [308.0, 293.0], [309.0, 311.0], [259.0, 315.0]], ('$39.90', 0.988430917263031)], [[[19.0, 329.0], [130.0, 329.0], [130.0, 347.0], [19.0, 347.0]], ('TOTAL(5 Qty)', 0.943166971206665)], [[[248.0, 328.0], [310.0, 328.0], [310.0, 346.0], [248.0, 346.0]], ('$39.90', 0.9984960556030273)], [[[17.0, 348.0], [48.0, 348.0], [48.0, 362.0], [17.0, 362.0]], ('VISA', 0.9955852031707764)], [[[17.0, 365.0], [165.0, 365.0], [165.0, 379.0], [17.0, 379.0]], ('TOTALTENDERED', 0.9958397150039673)], [[[251.0, 363.0], [313.0, 363.0], [313.0, 381.0], [251.0, 381.0]], ('$39.90', 0.9991678595542908)], [[[15.0, 381.0], [88.0, 383.0], [88.0, 401.0], [14.0, 399.0]], ('CHANGE', 0.9973295331001282)], [[[260.0, 382.0], [313.0, 382.0], [313.0, 400.0], [260.0, 400.0]], ('$0.00', 0.9984287023544312)], [[[102.0, 405.0], [222.0, 407.0], [221.0, 424.0], [102.0, 422.0]], ('Have a nice day', 0.9472596645355225)], [[[122.0, 424.0], [202.0, 424.0], [202.0, 438.0], [122.0, 438.0]], ('Thank you', 0.9825345277786255)], [[[115.0, 438.0], [210.0, 439.0], [210.0, 449.0], [114.0, 449.0]], ('See you soon', 0.8909494280815125)]]	{"store_name": "BakeryCafe", "store_addr": "TlongBahruEstate 82TlongPohRoad#01-05 Singapore160082", "telephone": "62220400", "date": "20/08/12(MON)", "time": "12:46", "subtotal": "$39.90", "tax": "", "total": "$39.90", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "Latte", "item_value": "$9.60", "item_quantity": "1"}, {"item_key": "", "item_name": ">SKINNYB2", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "BlackberryAlmondTart", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": "CrumblyAppleCrumbleTail", "item_value": "$7.80", "item_quantity": "1"}, {"item_key": "", "item_name": "DessertOfTheDay", "item_value": "$7.50", "item_quantity": "1"}, {"item_key": "", "item_name": ">CHOPORT", "item_value": "", "item_quantity": ""}, {"item_key": "", "item_name": "CinnamonPearTart", "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	[[[[41.0, 0.0], [181.0, 33.0], [164.0, 91.0], [23.0, 55.0]], ('Thefroger', 0.657535195350647)], [[[38.0, 74.0], [164.0, 67.0], [166.0, 92.0], [40.0, 99.0]], ('Reg.No.3942', 0.9695606231689453)], [[[24.0, 139.0], [178.0, 134.0], [179.0, 157.0], [25.0, 163.0]], ('APR2354', 0.9957834482192993)], [[[71.0, 242.0], [173.0, 240.0], [174.0, 268.0], [72.0, 271.0]], ('0.39-GrA', 0.968187153339386)], [[[35.0, 272.0], [54.0, 272.0], [54.0, 361.0], [35.0, 361.0]], ('6A6969', 0.5346617102622986)], [[[72.0, 272.0], [174.0, 269.0], [175.0, 297.0], [73.0, 300.0]], ('0.49-GA', 0.9379938244819641)], [[[71.0, 300.0], [174.0, 297.0], [175.0, 325.0], [72.0, 327.0]], ('0.27-GrA', 0.8713126182556152)], [[[75.0, 328.0], [174.0, 328.0], [174.0, 353.0], [75.0, 353.0]], ('0.18-GrA', 0.8795830011367798)], [[[74.0, 357.0], [173.0, 357.0], [173.0, 382.0], [74.0, 382.0]], ('0.29-GrA', 0.9295367002487183)], [[[74.0, 384.0], [175.0, 384.0], [175.0, 411.0], [74.0, 411.0]], ('0.22-GrA', 0.8381137251853943)], [[[36.0, 413.0], [52.0, 413.0], [52.0, 447.0], [36.0, 447.0]], ('69', 0.7380167245864868)], [[[73.0, 413.0], [175.0, 413.0], [175.0, 441.0], [73.0, 441.0]], ('0.12-6rA', 0.8960801362991333)], [[[35.0, 443.0], [52.0, 443.0], [52.0, 473.0], [35.0, 473.0]], ('SA', 0.8712090253829956)], [[[74.0, 444.0], [174.0, 444.0], [174.0, 469.0], [74.0, 469.0]], ('0.43-MtA', 0.9152586460113525)], [[[35.0, 473.0], [52.0, 473.0], [52.0, 502.0], [35.0, 502.0]], ('6', 0.8109472393989563)], [[[75.0, 474.0], [174.0, 474.0], [174.0, 499.0], [75.0, 499.0]], ('0.43-MtA', 0.8921812772750854)], [[[74.0, 504.0], [175.0, 504.0], [175.0, 528.0], [74.0, 528.0]], ('0.59-MtA', 0.8848180770874023)], [[[72.0, 533.0], [176.0, 533.0], [176.0, 561.0], [72.0, 561.0]], ('0.29-PrA', 0.968724250793457)], [[[20.0, 659.0], [176.0, 659.0], [176.0, 687.0], [20.0, 687.0]], ('*$3.70-TLA', 0.8839700818061829)], [[[41.0, 741.0], [173.0, 747.0], [172.0, 767.0], [40.0, 761.0]], ('Total Shown Abovs', 0.891129732131958)], [[[56.0, 762.0], [155.0, 765.0], [154.0, 785.0], [55.0, 782.0]], ('THANK YOU', 0.9497087001800537)]]	{"store_name": "TheKrogerCo.", "store_addr": "", "telephone": "", "date": "", "time": "", "subtotal": "", "tax": "", "total": "$3.70", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "-GrA", "item_value": "$0.29", "item_quantity": "1"}, {"item_key": "", "item_name": "-GrA", "item_value": "$0.59", "item_quantity": "1"}, {"item_key": "", "item_name": "-GrA", "item_value": "$0.43", "item_quantity": "1"}, {"item_key": "", "item_name": "-GrA", "item_value": "$0.43", "item_quantity": "1"}, {"item_key": "", "item_name": "-GrA", "item_value": "$0.12", "item_quantity": "1"}, {"item_key": "", "item_name": "-GrA", "item_value": "$0.22", "item_quantity": "1"}, {"item_key": "", "item_name": "-GrA", "item_value": "$0.29", "item_quantity": "1"}, {"item_key": "", "item_name": "-MtA", "item_value": "$0.18", "item_quantity": "1"}, {"item_key": "", "item_name": "-MtA", "item_value": "$0.27", "item_quantity": "1"}, {"item_key": "", "item_name": "-MtA", "item_value": "$0.49", "item_quantity": "1"}, {"item_key": "", "item_name": "-PrA", "item_value": "$0.39", "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	[[[[63.0, 28.0], [249.0, 17.0], [251.0, 63.0], [65.0, 73.0]], ('marche', 0.9974579215049744)], [[[157.0, 77.0], [250.0, 68.0], [251.0, 86.0], [159.0, 95.0]], ('MOVENPICK', 0.9839271903038025)], [[[45.0, 107.0], [274.0, 100.0], [275.0, 121.0], [45.0, 128.0]], ('Marche Moevenpick Suntec City', 0.970488429069519)], [[[93.0, 125.0], [235.0, 121.0], [235.0, 142.0], [93.0, 145.0]], ('GST No:200612449', 0.9234201312065125)], [[[14.0, 161.0], [110.0, 161.0], [110.0, 181.0], [14.0, 181.0]], ('2001 Hostess', 0.9726467132568359)], [[[130.0, 198.0], [205.0, 195.0], [206.0, 213.0], [131.0, 216.0]], ('000021402', 0.997106671333313)], [[[274.0, 191.0], [334.0, 189.0], [334.0, 211.0], [275.0, 213.0]], ('Gst0', 0.9345747828483582)], [[[7.0, 201.0], [73.0, 199.0], [73.0, 217.0], [8.0, 219.0]], ('Chk 4326', 0.9461318254470825)], [[[212.0, 213.0], [334.0, 209.0], [334.0, 230.0], [213.0, 234.0]], ("10Nov'1620:54", 0.893293023109436)], [[[18.0, 257.0], [140.0, 256.0], [140.0, 274.0], [18.0, 275.0]], ('1 Chicken Pizza', 0.9442276358604431)], [[[264.0, 254.0], [310.0, 254.0], [310.0, 272.0], [264.0, 272.0]], ('17.90', 0.9901953935623169)], [[[17.0, 277.0], [124.0, 276.0], [124.0, 294.0], [17.0, 295.0]], ('1 Swiss Rosti', 0.9389548897743225)], [[[272.0, 274.0], [310.0, 274.0], [310.0, 293.0], [272.0, 293.0]], ('7.90', 0.9922419786453247)], [[[19.0, 297.0], [157.0, 297.0], [157.0, 314.0], [19.0, 314.0]], ('1 Coarse Pork Sau', 0.9296549558639526)], [[[272.0, 294.0], [310.0, 294.0], [310.0, 312.0], [272.0, 312.0]], ('6.90', 0.9964346289634705)], [[[36.0, 315.0], [73.0, 315.0], [73.0, 334.0], [36.0, 334.0]], ('VISA', 0.9971216320991516)], [[[263.0, 313.0], [309.0, 313.0], [309.0, 331.0], [263.0, 331.0]], ('35.00', 0.9968975186347961)], [[[41.0, 351.0], [106.0, 351.0], [106.0, 369.0], [41.0, 369.0]], ('Subtotal', 0.9911835193634033)], [[[262.0, 347.0], [306.0, 347.0], [306.0, 365.0], [262.0, 365.0]], ('32.70', 0.9967724680900574)], [[[44.0, 369.0], [71.0, 369.0], [71.0, 384.0], [44.0, 384.0]], ('Tax', 0.9959805607795715)], [[[266.0, 362.0], [304.0, 362.0], [304.0, 380.0], [266.0, 380.0]], ('2.29', 0.9754754304885864)], [[[46.0, 383.0], [102.0, 383.0], [102.0, 400.0], [46.0, 400.0]], ('Payment', 0.9974421262741089)], [[[261.0, 379.0], [306.0, 379.0], [306.0, 401.0], [261.0, 401.0]], ('35.00', 0.9923590421676636)], [[[97.0, 403.0], [231.0, 403.0], [231.0, 420.0], [97.0, 420.0]], ('5006 Check Closec', 0.9350801706314087)], [[[113.0, 424.0], [228.0, 424.0], [228.0, 441.0], [113.0, 441.0]], ("10Nov'1621:20", 0.8536096811294556)]]	{"store_name": "march\u00e9", "store_addr": "MarcheMoevenpickSuntecCity", "telephone": "", "date": "10Nov'16 10Nov'16", "time": "21:20", "subtotal": "32.70", "tax": "2.29", "total": "35.00", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "ChickenPizza", "item_value": "17.90", "item_quantity": "1"}, {"item_key": "", "item_name": "SwissRosti", "item_value": "7.90", "item_quantity": "1"}, {"item_key": "", "item_name": "CoarsePorkSau", "item_value": "6.90", "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	[[[[60.0, 12.0], [159.0, 17.0], [158.0, 27.0], [59.0, 22.0]], ('GIARZ TCECRENM', 0.6046463847160339)], [[[14.0, 27.0], [180.0, 34.0], [180.0, 47.0], [14.0, 40.0]], ('Hausxhag Now Deln-16', 0.7280880212783813)], [[[14.0, 37.0], [180.0, 44.0], [180.0, 57.0], [14.0, 50.0]], ('ContectNo- 9650720790', 0.9033646583557129)], [[[13.0, 61.0], [147.0, 64.0], [147.0, 78.0], [13.0, 75.0]], ('Tinno-07160434071', 0.9402791857719421)], [[[178.0, 56.0], [257.0, 60.0], [257.0, 72.0], [178.0, 67.0]], ('011-26511112', 0.8909674286842346)], [[[13.0, 85.0], [93.0, 88.0], [93.0, 102.0], [13.0, 99.0]], ('TypeTable', 0.8649442791938782)], [[[109.0, 89.0], [174.0, 93.0], [173.0, 104.0], [109.0, 100.0]], ('TableNo:1', 0.8605343103408813)], [[[13.0, 112.0], [131.0, 117.0], [131.0, 130.0], [13.0, 125.0]], ('Bill Number9', 0.859017550945282)], [[[12.0, 124.0], [129.0, 128.0], [129.0, 142.0], [11.0, 138.0]], ('Stewaxd:--None-', 0.9010182023048401)], [[[13.0, 139.0], [196.0, 142.0], [196.0, 155.0], [13.0, 152.0]], ('Dat:8/14/20162:59:03M', 0.8867745399475098)], [[[12.0, 163.0], [48.0, 166.0], [47.0, 180.0], [11.0, 177.0]], ('Item', 0.9755116105079651)], [[[173.0, 166.0], [197.0, 169.0], [196.0, 181.0], [171.0, 178.0]], ('Qty', 0.7739724516868591)], [[[213.0, 168.0], [236.0, 168.0], [236.0, 180.0], [213.0, 180.0]], ('Amt', 0.9920668601989746)], [[[13.0, 192.0], [153.0, 192.0], [153.0, 205.0], [13.0, 205.0]], ('Special stick Kul', 0.873579204082489)], [[[184.0, 192.0], [198.0, 192.0], [198.0, 205.0], [184.0, 205.0]], ('1', 0.9871200323104858)], [[[224.0, 192.0], [242.0, 192.0], [242.0, 205.0], [224.0, 205.0]], ('40', 0.8651747703552246)], [[[12.0, 205.0], [161.0, 205.0], [161.0, 218.0], [12.0, 218.0]], ('Dark Chocolate Singl', 0.8979030847549438)], [[[14.0, 220.0], [69.0, 220.0], [69.0, 231.0], [14.0, 231.0]], ('e Sccop', 0.8937926888465881)], [[[224.0, 216.0], [241.0, 216.0], [241.0, 229.0], [224.0, 229.0]], ('56', 0.7063225507736206)], [[[12.0, 232.0], [158.0, 229.0], [158.0, 243.0], [12.0, 246.0]], ('GJani Special g', 0.7769887447357178)], [[[224.0, 228.0], [241.0, 228.0], [241.0, 241.0], [224.0, 241.0]], ('71', 0.9327210783958435)], [[[12.0, 246.0], [127.0, 244.0], [127.0, 255.0], [12.0, 257.0]], ('American Nut Sr', 0.862787663936615)], [[[185.0, 242.0], [196.0, 242.0], [196.0, 253.0], [185.0, 253.0]], ('1', 0.7815573811531067)], [[[225.0, 240.0], [241.0, 240.0], [241.0, 253.0], [225.0, 253.0]], ('85', 0.981036901473999)], [[[10.0, 258.0], [104.0, 256.0], [104.0, 269.0], [11.0, 271.0]], ('Wartle Cone', 0.8669794201850891)], [[[185.0, 254.0], [199.0, 254.0], [199.0, 267.0], [185.0, 267.0]], ('4', 0.9364474415779114)], [[[9.0, 271.0], [163.0, 267.0], [163.0, 280.0], [10.0, 284.0]], ('Almond choco Fudge s', 0.868060290813446)], [[[185.0, 278.0], [198.0, 278.0], [198.0, 292.0], [185.0, 292.0]], ('1', 0.8796613216400146)], [[[227.0, 278.0], [243.0, 278.0], [243.0, 290.0], [227.0, 290.0]], ('63', 0.9929053783416748)], [[[8.0, 296.0], [128.0, 292.0], [128.0, 309.0], [9.0, 314.0]], ('LitohfS', 0.7256711721420288)], [[[188.0, 292.0], [198.0, 292.0], [198.0, 303.0], [188.0, 303.0]], ('1', 0.9883588552474976)], [[[227.0, 290.0], [245.0, 290.0], [245.0, 303.0], [227.0, 303.0]], ('83', 0.9796191453933716)], [[[182.0, 318.0], [200.0, 318.0], [200.0, 331.0], [182.0, 331.0]], ('10', 0.993240237236023)], [[[8.0, 328.0], [90.0, 324.0], [90.0, 338.0], [9.0, 342.0]], ('Total Qty', 0.9334093928337097)], [[[217.0, 328.0], [261.0, 328.0], [261.0, 343.0], [217.0, 343.0]], ('509.00', 0.9811921119689941)], [[[8.0, 343.0], [89.0, 337.0], [90.0, 351.0], [9.0, 357.0]], ('Sub Total:', 0.8892902135848999)], [[[225.0, 342.0], [264.0, 342.0], [264.0, 356.0], [225.0, 356.0]], ('63.63', 0.9798105359077454)], [[[8.0, 357.0], [91.0, 350.0], [93.0, 364.0], [9.0, 371.0]], ('Vat012.5', 0.9385356903076172)], [[[233.0, 368.0], [265.0, 368.0], [265.0, 382.0], [233.0, 382.0]], ('0.37', 0.987060546875)], [[[9.0, 383.0], [92.0, 378.0], [92.0, 392.0], [10.0, 397.0]], ('Round orr', 0.84047532081604)], [[[219.0, 383.0], [265.0, 379.0], [266.0, 393.0], [220.0, 397.0]], ('573.00', 0.9913772940635681)], [[[10.0, 397.0], [113.0, 391.0], [114.0, 406.0], [11.0, 411.0]], ('Grand Amount:', 0.9581396579742432)]]	{"store_name": "", "store_addr": "", "telephone": "011-26511112", "date": "8/14/2016", "time": "2:59:03PM", "subtotal": "509.00", "tax": "63.63", "total": "573.00", "ignore": " ", "tips": "", "line_items": [{"item_key": "", "item_name": "SpecialstickKulfi", "item_value": "40", "item_quantity": "1"}, {"item_key": "", "item_name": "DarkChocolateSingl", "item_value": "95", "item_quantity": "1"}, {"item_key": "", "item_name": "eScoop", "item_value": "71", "item_quantity": "1"}, {"item_key": "", "item_name": "AmericanNutSr", "item_value": "85", "item_quantity": "1"}, {"item_key": "", "item_name": "WeffleCone", "item_value": "72", "item_quantity": "1"}, {"item_key": "", "item_name": "AlmondChocoFudgeS", "item_value": "63", "item_quantity": "1"}, {"item_key": "", "item_name": "r", "item_value": "83", "item_quantity": "1"}, {"item_key": "", "item_name": "Litohi", "item_value": "", "item_quantity": ""}, {"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	[[[[85.0, 49.0], [206.0, 49.0], [206.0, 62.0], [85.0, 62.0]], ('Thal Thai Restaurant', 0.9567242860794067)], [[[56.0, 64.0], [232.0, 63.0], [232.0, 77.0], [57.0, 78.0]], ('2447 North Wickham Suite 128', 0.9565549492835999)], [[[87.0, 81.0], [200.0, 81.0], [200.0, 95.0], [87.0, 95.0]], ('Melourne,FL 32935', 0.9383473992347717)], [[[102.0, 98.0], [186.0, 98.0], [186.0, 112.0], [102.0, 112.0]], ('321253-2353', 0.9931368231773376)], [[[113.0, 132.0], [176.0, 132.0], [176.0, 146.0], [113.0, 146.0]], ('Dine-n #0', 0.9101715087890625)], [[[78.0, 148.0], [212.0, 148.0], [212.0, 162.0], [78.0, 162.0]], ('08/27/201708:13:26PM', 0.9576966166496277)], [[[99.0, 165.0], [187.0, 165.0], [187.0, 179.0], [99.0, 179.0]], ('Placed By Kyle', 0.948704183101654)], [[[119.0, 181.0], [170.0, 181.0], [170.0, 195.0], [119.0, 195.0]], ('Table 12', 0.9475390315055847)], [[[108.0, 199.0], [180.0, 199.0], [180.0, 210.0], [108.0, 210.0]], ('Server:Kyle', 0.9619171619415283)], [[[82.0, 215.0], [202.0, 215.0], [202.0, 228.0], [82.0, 228.0]], ('Number of Guests:1', 0.9605680108070374)], [[[13.0, 248.0], [123.0, 248.0], [123.0, 262.0], [13.0, 262.0]], ('1 Yum Woon Sen', 0.9170312285423279)], [[[237.0, 248.0], [267.0, 248.0], [267.0, 263.0], [237.0, 263.0]], ('9.95', 0.9966683387756348)], [[[11.0, 266.0], [103.0, 266.0], [103.0, 279.0], [11.0, 279.0]], ('1Brother Roll', 0.96382737159729)], [[[234.0, 266.0], [268.0, 266.0], [268.0, 281.0], [234.0, 281.0]], ('10.95', 0.9974768757820129)], [[[10.0, 282.0], [121.0, 282.0], [121.0, 296.0], [10.0, 296.0]], ('1 Sashimi Dinner', 0.9516876935958862)], [[[234.0, 283.0], [269.0, 283.0], [269.0, 298.0], [234.0, 298.0]], ('22.95', 0.9950814247131348)], [[[27.0, 301.0], [102.0, 301.0], [102.0, 315.0], [27.0, 315.0]], ('Green Salad', 0.9824400544166565)], [[[5.0, 317.0], [118.0, 318.0], [118.0, 336.0], [5.0, 334.0]], ('1 Sapporo 22 oz.', 0.892809271812439)], [[[241.0, 320.0], [270.0, 320.0], [270.0, 336.0], [241.0, 336.0]], ('6.25', 0.9944925308227539)], [[[3.0, 335.0], [92.0, 338.0], [92.0, 355.0], [3.0, 352.0]], ('1 Chardonay', 0.9499328136444092)], [[[241.0, 340.0], [270.0, 340.0], [270.0, 356.0], [241.0, 356.0]], ('4.45', 0.9958986043930054)], [[[1.0, 373.0], [61.0, 376.0], [60.0, 393.0], [1.0, 391.0]], ('Subtotal:', 0.9924576878547668)], [[[236.0, 380.0], [274.0, 380.0], [274.0, 395.0], [236.0, 395.0]], ('54.55', 0.9931132197380066)], [[[0.0, 395.0], [30.0, 395.0], [30.0, 411.0], [0.0, 411.0]], ('Tax:', 0.9844773411750793)], [[[243.0, 400.0], [275.0, 400.0], [275.0, 417.0], [243.0, 417.0]], ('3.82', 0.9961680769920349)], [[[0.0, 414.0], [36.0, 414.0], [36.0, 432.0], [0.0, 432.0]], ('Total:', 0.9263689517974854)], [[[237.0, 418.0], [276.0, 420.0], [275.0, 439.0], [236.0, 437.0]], ('58.37', 0.9971544146537781)]]	{"store_name": "ThaiThaiRestaurant", "store_addr": "2447NorthWickhamSuite128 Melourne,FL32935", "telephone": "(321)253-2353", "date": "08/27/2017", "time": "08:13:26PM", "subtotal": "54.55", "tax": "3.82", "total": "58.37", "ignore": "", "tips": "", "line_items": [{"item_key": "", "item_name": "YumWoonSen", "item_value": "9.95", "item_quantity": "1"}, {"item_key": "", "item_name": "BrotherRoll", "item_value": "10.95", "item_quantity": "1"}, {"item_key": "", "item_name": "SashimiDinner", "item_value": "22.95", "item_quantity": "1"}, {"item_key": "", "item_name": "GreenSalad", "item_value": "6.25", "item_quantity": "1"}, {"item_key": "", "item_name": "Sapporo22oz.", "item_value": "4.45", "item_quantity": "1"}, {"item_key": "", "item_name": "Chardonnay", "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	[[[[137.0, 18.0], [167.0, 20.0], [166.0, 32.0], [136.0, 29.0]], ('KFC/AN', 0.8813160061836243)], [[[100.0, 29.0], [199.0, 30.0], [199.0, 44.0], [100.0, 42.0]], ('1827 West 12600 South', 0.9358040690422058)], [[[109.0, 43.0], [197.0, 43.0], [197.0, 55.0], [109.0, 55.0]], ('Riverton.uT 84065', 0.9121009111404419)], [[[122.0, 55.0], [182.0, 55.0], [182.0, 66.0], [122.0, 66.0]], ('801446-7080', 0.9683193564414978)], [[[130.0, 66.0], [177.0, 66.0], [177.0, 77.0], [130.0, 77.0]], ('2016-03-01', 0.9763662219047546)], [[[97.0, 99.0], [201.0, 97.0], [201.0, 111.0], [97.0, 113.0]], ('CREDIT SALE', 0.9726210236549377)], [[[88.0, 133.0], [209.0, 130.0], [210.0, 143.0], [88.0, 145.0]], ('CHARGE DETAIL', 0.9605897068977356)], [[[60.0, 157.0], [87.0, 157.0], [87.0, 168.0], [60.0, 168.0]], ('Nane:', 0.8791375160217285)], [[[117.0, 156.0], [180.0, 156.0], [180.0, 167.0], [117.0, 167.0]], ('DWAYNE BORING', 0.9303322434425354)], [[[59.0, 167.0], [140.0, 166.0], [140.0, 180.0], [59.0, 181.0]], ('Card Type:Visa', 0.9118903279304504)], [[[61.0, 179.0], [107.0, 181.0], [106.0, 192.0], [60.0, 190.0]], ('Account:', 0.9506726264953613)], [[[116.0, 177.0], [205.0, 177.0], [205.0, 190.0], [116.0, 190.0]], ('************2857S', 0.8217693567276001)], [[[60.0, 190.0], [150.0, 187.0], [150.0, 201.0], [61.0, 204.0]], ('Auth Code091520', 0.9625406265258789)], [[[61.0, 200.0], [106.0, 203.0], [105.0, 217.0], [60.0, 214.0]], ('Trans', 0.9554808735847473)], [[[117.0, 202.0], [140.0, 202.0], [140.0, 213.0], [117.0, 213.0]], ('3914', 0.9986399412155151)], [[[62.0, 215.0], [107.0, 215.0], [107.0, 225.0], [62.0, 225.0]], ('Auth Ref:', 0.8684123158454895)], [[[117.0, 213.0], [157.0, 213.0], [157.0, 223.0], [117.0, 223.0]], ('00074087', 0.9901416301727295)], [[[62.0, 236.0], [146.0, 236.0], [146.0, 249.0], [62.0, 249.0]], ('AUTH AMT:', 0.9313421249389648)], [[[194.0, 235.0], [251.0, 235.0], [251.0, 246.0], [194.0, 246.0]], ('$37.92', 0.9900913834571838)], [[[62.0, 250.0], [137.0, 250.0], [137.0, 260.0], [62.0, 260.0]], ('BALANCE:', 0.99152672290802)], [[[202.0, 246.0], [253.0, 246.0], [253.0, 260.0], [202.0, 260.0]], ('$0.00', 0.9913533329963684)], [[[99.0, 283.0], [215.0, 281.0], [216.0, 295.0], [99.0, 297.0]], ('T1cket #3914', 0.9369789958000183)], [[[60.0, 296.0], [111.0, 293.0], [112.0, 307.0], [61.0, 310.0]], ('2016-03-01', 0.9766749143600464)], [[[218.0, 296.0], [256.0, 296.0], [256.0, 306.0], [218.0, 306.0]], ('5:09PM', 0.9282634854316711)], [[[114.0, 307.0], [199.0, 307.0], [199.0, 320.0], [114.0, 320.0]], ('S720191 3 60 3914', 0.9092636108398438)], [[[62.0, 333.0], [135.0, 333.0], [135.0, 344.0], [62.0, 344.0]], ('Cashier:IRMIN', 0.9609237313270569)]]	{"store_name": "KFC/AM", "store_addr": "1827West12600South Riverton.UT84065", "telephone": "(801)445-7080", "date": "2016-03-01 2016-03-01", "time": "6:09PM", "subtotal": "", "tax": "", "total": "$37.92", "ignore": "", "tips": "", "line_items": []}