MiniCPM-OCR: open document-parsing models with a built-in correctness check
ModelBest and OpenBMB's open-source OCR series: MiniCPM-OCR 1.0 (1.3B) for fast document parsing and MiniCPM-OCR Jev (2B), a decision model that scores parsing quality.
Why it matters
First OCR family to ship a dedicated quality-inspector model alongside the parser, so bad extractions can be flagged instead of silently trusted.
What you could build with it
A small team digitizing invoices or forms could run MiniCPM-OCR 1.0 over scanned documents and route only the pages MiniCPM-OCR Jev flags as low-quality to human review, cutting manual checking to the uncertain minority.
Does it hold up?
Too early to judge: announced 31 Oct with vendor performance claims and broad runtime support, but no independent benchmark or deployment report exists yet.
Built with MiniCPM-OCR
- ModelBest and OpenBMB open-source MiniCPM-OCR seriesarticle · 31 Oct announcement: MiniCPM-OCR 1.0 (1.3B) and MiniCPM-OCR Jev (2B), available on GitHub, Hugging Face and ModelScope with vLLM, SGLang, llama.cpp and Ollama support.
Learn more
First spotted on github: source.
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