@Fenng: HuggingFace and GitHub charts hit top four, stars surpass 10k in just 5 days — Baidu Unlimited OCR becomes one of the fastest growing open source projects. I've seen many people mentioning Baidu's Unlimited-OCR in my timeline lately. Actually, OCR has always been a traditional strength of Baidu…
Summary
Baidu's open source project Unlimited-OCR tops four charts on HuggingFace and GitHub, with stars exceeding 10k in five days. The model uses a MoE architecture (3B total parameters, 570M activated parameters) and excels at continuous recognition of long documents. Inspired by how humans copy books, it also offers new ideas for long-term memory management in large models.
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HuggingFace, GitHub Four Charts Topping, 5 Days to Break 10K Stars, Baidu Unlimited OCR Ranks Among Fastest-Growing Open Source Projects.
A couple of days ago, I noticed many people in my timeline talking about Baidu’s Unlimited-OCR release.
Actually, OCR is a traditional strength for Baidu, with accumulated technical expertise, and PaddleOCR has always had a great reputation.
This Unlimited-OCR model isn’t huge in scale: total 3B parameters, 570M activated parameters MoE, but it’s particularly strong in continuous recognition for dozens of pages of documents… reportedly inspired by the way humans copy books by hand. Not only does this improve OCR usability in long document scenarios, but it also provides new technical ideas for long-term memory management in large models. This is great news for many teams with specific technical needs.
Based on DeepSeek-OCR’s DeepEncoder, it pushes forward the engineering bottleneck of long document parsing in the DeepSeek-OCR pipeline. The “YY” in the author list has also sparked some speculation, with some suspecting it’s Wei Haoran, the core author of DeepSeek-OCR, but this remains unconfirmed.
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