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Jerry Liu says Unlimited OCR ranks #115 on ParseBench at 46.2%

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Jerry Liu says Unlimited OCR, a low-parameter OCR model, processes documents very quickly and reads order and layout well. He says it slightly beats PaddleOCR on tables and slightly trails it on layout, but ignores visual elements, formatting, and the most complex tables. He reports it scores about 46.2% and ranks #115 on ParseBench, which he calls a good milestone with room to improve.

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Jerry LiuVerified on X
@jerryjliu0

Unlimited OCR is a good example of a low-parameter OCR model that can process any document extremely quickly.

It's good at reading order and layout, and decent over tables. It is slightly better than PaddleOCR on tables and slightly worse on layout.

There are tradeoffs though - it ignores visual elements, formatting, and the most complex tables. It scores ~46.2% and ranks #115 on ParseBench.

There's plenty of opportunities to improve this frontier, but Unlimited OCR is still a good milestone!

Check out ParseBench: https://www.parsebench.ai/

Brooks Whale X 🐋@BrooksWhaleX
🚨 CHINA JUST OPEN SOURCED AN OCR THAT EATS 100 PAGE PDFS IN ONE PASS It’s called Unlimited OCR. Only 3B params. Runs locally. Every other OCR tool chops your doc into pages and loses the thread. This one reads the whole thing in one continuous pass. → One shot full context parsing (32K context window) → Multilingual out of the box → 93% on the standard parsing benchmark (6 points over baseline) → Under 0.11 error rate past 40 pages → Runs 100% locally on your own hardware → Works with Transformers, vLLM, SGLang, Docker, Ollama, llama.cpp Traditional cloud OCR (Textract, Google Vision, Azure Doc Intelligence) costs $1.50 to $15 per 1,000 pages. This runs on your machine. For free. Forever. Baidu built it explicitly to push DeepSeek OCR one step further. Already at 1.9M downloads on Hugging Face and most people have no idea it exists yet. 100% open source.
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