opendatalab/MinerU
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
5 releases in the last 90 days, the latest today, with 75 contributors on GitHub.
Peaked at #4 in the weekly ranking the week of Oct 12, its best in the past year.
Use Cases & Benefits
- Transforms complex documents like PDFs and Office files into markdown or JSON formats optimized for large language model workflows.
- Offers a unified, high-accuracy multimodal parsing model that supports multilingual text, handwriting, layout, tables, and formulas with fast inference speed.
- Use for extracting structured data from scientific papers and reports to enable AI-driven analysis and summarization.
- Use for automating document ingestion pipelines in enterprises requiring accurate table and formula recognition across diverse languages.
- Use for developers building agentic AI systems that need reliable, LLM-ready document representations from scanned or digital sources.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
Other
GitHub could not identify this license; read the LICENSE file before depending on it.
Community files
- README: present
Watch-outs
- License not identified by GitHub; read the LICENSE file before depending on it.
General guidance from repository metadata, not legal advice. How we score
From the README
MinerU is a tool that converts PDFs into machine-readable formats (e.g., markdown, JSON), allowing for easy extraction into any format. MinerU was born during the pre-training process of InternLM. We focus on solving symbol conversion issues in scientific literature and hope to contribute to technological development in the era of large models. Compared to well-known commercial products, MinerU is still young. If you encounter any issues or if the results are not as expected, please submit an issue on issue and attach the relevant PDF.
If you encounter any installation issues, please first consult the FAQ. If the parsing results are not as expected, refer to the Known Issues.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+6,026 stars over 88 days across 8 snapshot days; best day +16 on Sep 20.
Forks
6.9K+403
Open issues
12-74
Compared with peers in Computer Vision
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| rohitg00/ai-engineering-from-scratch | 78.3K | +1.6K | 75 | 1 day ago |
| opendatalab/MinerU | 83.0K | — | 35 | today |
| blakeblackshear/frigate | 37.3K | — | 59 | 24 days ago |
| HenryNdubuaku/maths-cs-ai-compendium | 7.7K | — | 10 | — |
| mindee/doctr | 6.4K | — | 61 | 79 days ago |
| aurelio-labs/semantic-router | 4.0K | — | 59 | 11 days ago |
| Category median | 7.7K | — | 59 | — |
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