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opendatalab/MinerU
MinerU converts complex PDF and Office documents into Markdown or JSON for AI workflows.

About opendatalab/MinerU
MinerU is a GitHub repository that converts complex PDF and Office documents into Markdown or JSON for use in AI and agent workflows. It accepts PDFs, scanned or captured images, Word, PowerPoint, and Excel files, OpenDocument files, EPUB, OFD, HTML, MHTML, RTF, and CSV or TSV files, among others.
Parsing is organized into four tiers. Flash is intended for fast previews and indexing, Basic adds OCR and model-based parsing, and Standard and Advanced are intended for more demanding layouts and quality requirements. PDFs and images support all four tiers, while Office, OpenDocument, EPUB, OFD, HTML, MHTML, and CSV/TSV files use only local Flash native parsing. Documents are not automatically uploaded to the official service, and remote parsing requires explicit configuration. The project requires Python 3.10 or later and below 3.15.
Key features
- Converts PDFs, scanned images, and Office files into Markdown or JSON
- Four parsing tiers, from Flash previews to Standard and Advanced
- Local document library that caches results and searches document content
- Continues reading by page or block with stable citation locators
- Configurable model backends including ONNX, Torch, llama.cpp, vLLM, and LMDeploy
- Renders a single document model to nine output targets, including DOCX and EPUB
- Local document library caches results and supports content search
- Documents are not automatically uploaded to the official service
- Multiple parsing tiers let users choose between speed and layout quality
- Office, OpenDocument, EPUB, OFD, HTML, and CSV/TSV files use only Flash native parsing
- Remote parsing requires explicit configuration
- Requires Python 3.10 or later and below 3.15
opendatalab/MinerU at a glance
- Category
- AI & Machine Learning › AI Data & Analytics
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
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