278
Image Gen Pro
😎
Advanced Image Generator
Nunya Biz
SpyC0der77
AI & ML interests
None yet
Recent Activity
liked
a Space
about 4 hours ago
KingNish/Image-Gen-Pro
liked
a model
about 4 hours ago
madebyollin/taef1
liked
a Space
about 4 hours ago
ByteDance/Hyper-SDXL-1Step-T2I
Organizations
None yet
SpyC0der77's activity
liked
a
Space
about 4 hours ago
liked
a
model
about 4 hours ago
liked
a
Space
about 4 hours ago
upvoted
a
collection
about 4 hours ago
liked
a
model
about 4 hours ago
Feature Request: Custom LoRA Support
#14 opened about 4 hours ago
by
SpyC0der77
Feature request: Add lora support
#1 opened about 4 hours ago
by
SpyC0der77
liked
3
Spaces
1 day ago
liked
a
Space
2 days ago
liked
a
model
2 days ago
liked
a
Space
2 days ago
updated
a
Space
3 days ago
published
a
Space
3 days ago
liked
a
model
3 days ago
published
a
Space
4 days ago
liked
2
Spaces
12 days ago
reacted to
fdaudens's
post with 👍
12 days ago
Post
3080
Is this the best tool to extract clean info from PDFs, handwriting and complex documents yet?
Open source olmOCR just dropped and the results are impressive.
Tested the free demo with various documents, including a handwritten Claes Oldenburg letter. The speed is impressive: 3000 tokens/second on your own GPU - that's 1/32 the cost of GPT-4o ($190/million pages). Game-changer for content extraction and digital archives.
To achieve this, Ai2 trained a 7B vision language model on 260K pages from 100K PDFs using "document anchoring" - combining PDF metadata with page images.
Best part: it actually understands document structure (columns, tables, equations) instead of just jumbling everything together like most OCR tools. Their human eval results back this up.
👉 Try the demo: https://olmocr.allenai.org
Going right into the AI toolkit: JournalistsonHF/ai-toolkit
Open source olmOCR just dropped and the results are impressive.
Tested the free demo with various documents, including a handwritten Claes Oldenburg letter. The speed is impressive: 3000 tokens/second on your own GPU - that's 1/32 the cost of GPT-4o ($190/million pages). Game-changer for content extraction and digital archives.
To achieve this, Ai2 trained a 7B vision language model on 260K pages from 100K PDFs using "document anchoring" - combining PDF metadata with page images.
Best part: it actually understands document structure (columns, tables, equations) instead of just jumbling everything together like most OCR tools. Their human eval results back this up.
👉 Try the demo: https://olmocr.allenai.org
Going right into the AI toolkit: JournalistsonHF/ai-toolkit
- 3 replies