OpenBMB/MiniCPM-OCR

Fast, accurate OCR with correctness assessment.

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MiniCPM-OCR 1.0 Guide     MiniCPM-OCR Jev Guide   Official Demo (CN / Global)  ·  Basic Demo (CN / Global) Get Started  ·  Weights  ·  Free API  ·  Skill  ·  Local Deployment  |  中文 Join the Community via Feishu / Lark  ·  Discord MiniCPM-OCR is a family of models for efficient document parsing and text recognition. MiniCPM-OCR 1.0 parses Chinese and English documents and PDFs, balancing quality and efficiency across challenging inputs such as scans, photographs, curved pages, and recaptured documents. MiniCPM-OCR Jev evaluates OCR results at the region level, distinguishing problematic regions from reliable ones. It works with different parsing models to help users locate content that needs review. MiniCPM-OCR 1.0 (1.3B) is the first OCR-specific model in the MiniCPM-V/o family. It focuses on text-centric document understanding, covering text, tables, formulas, charts, seals, and structured information extraction. Its key features include: Among the open-source OCR models shown below, MiniCPM-OCR 1.0 achieves…

OpenBMB/MiniCPM-OCR on GitHub A short preview, not the full document.

Read the full README ↗ · Preview checked 2026-10-29T13:33:28.432Z

Inside the original README — Document outline
  1. MiniCPM-OCR 1.0
  2. SOTA Performance, Higher Throughput
  3. Benchmark Comparisons
  4. Examples
  5. English Documents
  6. Chinese Documents
  7. MiniCPM-OCR Jev
  8. Evaluation Results
  9. Review-Free Accuracy
  10. Decision Examples
  11. Using MiniCPM-OCR
  12. Skill

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Documentation belongs to its respective authors. Reported project/model license: Apache-2.0. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

Fast, accurate OCR with correctness assessment.

Repository facts

Owner
OpenBMB
Primary language
TypeScript
Stars
707
Forks
44
Open issues + pull requests
1
License
Apache-2.0
Archived
No
Default branch
main
Created
2026-10-27T13:22:00.000Z
Last push
2026-10-30T05:22:04.000Z

Topics and intended use

Owner-supplied topics: image2text, minicpm-v, ocr

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Source: GitHub. Metadata observed 2026-10-31T12:17:23.005Z. Daily imports are snapshots, not real-time monitoring.

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