AI BriefingPickUnlimited-OCR: OCR model that converts hundreds of PDF pages to text in a single pass
baidu/Unlimited-OCR
About the project
It extracts text and structure from long documents spanning hundreds of pages or PDFs with complex layouts in a single processing pass. Designed to overcome the limitations of existing OCR tools that process documents page by page, it targets 'One-shot Long-horizon Parsing'.
Released by Baidu, this 3.3B parameter Vision-Language model achieved 86.81% text content accuracy and 71.52% layout recognition on the ParseBench benchmark. With multilingual support, it also excels at structuring complex visual elements such as tables and charts.
Compatible with major inference frameworks such as Transformers, vLLM, and SGLang, it is released under the MIT license for free commercial use. It is suitable for developers building large-scale document datasets or requiring high-quality text conversion in the input preprocessing stage of RAG pipelines.
baidu/Unlimited-OCR
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