opendatalab/MinerU
Some data may be outdated — see provenance labels.
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows. observed · 2026-09-24
Health v2 · maintenance only
86/100
- Activity 96
- Release rhythm 84
- Longevity 68
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.
- gap_med: 2
- age_days: 964
- days_rel: 27
- days_push: 27
- n_releases_24m: 110
Adoption not part of the score
80546 stars · 6724 forks observed · 2026-09-24
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
MinerU is a document parsing tool that converts PDFs, images, DOCX, PPTX, and XLSX files into machine-readable Markdown and JSON. It handles layout analysis, OCR in 109 languages, formula-to-LaTeX conversion, and table extraction, making documents ready for LLM and RAG pipelines.
Use cases
- convert pdfs to markdown for llm training
- extract text and tables from scanned pdfs
- prepare documents for rag pipelines
- parse research papers with formulas into latex
- convert docx and pptx files to
- ocr documents in multiple languages
- extract structured data from complex pdf layouts
When to choose
- you need LLM-ready markdown or JSON from complex documents
- documents contain formulas, tables, or multi-column layouts
- you need OCR for scanned or garbled PDFs
- you want a CLI, API, or WebUI for batch document conversion
When to avoid
- you only need simple text extraction from plain digital PDFs
- you need pixel-perfect visual fidelity of the original document
- you cannot run GPU-accelerated models locally and need lightweight processing
Facets
library · maturity active
ocr parser pdf nlp rag machine-learning pdf large-language-models developer-tools python cli cross-platform document-parsing pdf-to-markdown layout-analysis llm-ready document-understanding formula-recognition table-extraction natural-language-processing data-engineering web-server gpu
3 sources
- readme: https://github.com/opendatalab/MinerU · fetched 2026-09-24 · 653cb63df358
- homepage: https://opendatalab.github.io/MinerU/ · fetched 2026-09-07 · 4c1da0434207
- registry_pypi: https://pypi.org/pypi/mineru/json · fetched 2026-09-07 · 872683b6a784
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| opendatalab/MinerU | main | 86 |
For agents
markdown · JSON · MCP: product_card(name="opendatalab/MinerU")
Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem