About mineru
MinerU is a command-line parser that converts PDFs, Office files, images, and HTML into Markdown, with OCR and extraction of tables, formulas, and images. It offers automatic routing between Agent API and Standard API, batch processing, and an MCP server.
Key features
- 01Parse PDFs, Office files, images, and HTML
- 02Extract tables, formulas, and images
- 03OCR for scanned documents
- 04Automatic API routing and escalation
- 05Batch processing with resume support
- 06Export Markdown, DOCX, HTML, or LaTeX
Use cases
- 01Converting research papers to Markdown
- 02Extracting content from scanned files
- 03Processing document batches
- 04Sending parsed Markdown to content tools
MCP support
MinerU includes a zero-dependency stdio JSON-RPC MCP server. MCP clients can call mineru_parse, mineru_parse_to, and mineru_list_sinks.
Install
Copy the command and run it in a terminal.
npx skills add https:/ / github.com/ nebutra/ mineru-skill --skill mineruAfter installing, type/mineruin Claude Code to confirm it loaded.
Bundled files
References and scripts installed along with SKILL.md.
README_CN.mdREADME.mdpyproject.tomlLICENSE.gitignorerequirements.txt.claude-plugin/plugin.json.github/dependabot.yml.github/workflows/release.ymlpublish-skill.ymlci.ymlreferences/api_reference.mdintegrations.mdcomparison.mdscripts/build_skill_package.py__init__.pylocal_engine.pymineru.pymineru_mcp.pychunking.pyscripts/sinks/airtable.py_http.pyconfluence.py_md.pydingtalk.pycoda.pybase.py__init__.pyfeishu.pylinear.pyDetails
From the project READMEMinerU PDF Parser
Parse PDF, Office (Word/PPT/Excel), and image files into clean Markdown — with LaTeX formulas, tables, images, and OCR. One zero-dependency script, two backends, automatic routing.
Zero-config quick start (no token, no install)
# Parse a local file or URL — the Agent API needs no login
python3 scripts/mineru.py paper.pdf
# Pipe the Markdown straight back to an agent
python3 scripts/mineru.py paper.pdf --stdout
# Machine-readable status for tool pipelines
python3 scripts/mineru.py paper.pdf --json
No pip install, no API key. The free Agent API handles files ≤ 10 MB / ≤ 20 pages.
Run with uv (zero-install, managed Python)
scripts/mineru.py carries PEP 723 inline
metadata, so uv runs it directly — no venv, no
pip install, with a uv-managed interpreter:
uv run scripts/mineru.py paper.pdf --stdout # zero-install run
uv run --no-project --with pytest pytest -q # dev suite via uv
Power mode (token) — large files, batches, extra formats
export MINERU_TOKEN="..." # https://mineru.net/apiManage/token
# Parallel batch a directory, resume on re-run
python3 scripts/mineru.py ./pdfs/ --output ./out/ --workers 8 --resume
# Export DOCX/HTML/LaTeX alongside Markdown (auto-routes to the Standard API)
python3 scripts/mineru.py report.pdf --format docx --format latex
When a token is set, the tool auto-routes: small single files still use the free Agent API; anything large (> 10 MB / > 20 pages), batched, or needing extra export formats uses the Standard API (≤ 200 MB / ≤ 200 pages). If the Agent API hits a size/page limit, it auto-escalates to the Standard API.
Supported modalities
| Modality | Extensions | OCR |
|---|---|---|
.pdf | --ocr | |
| Image | .png .jpg .jpeg .jp2 .webp .gif .bmp | built-in |
| Word | .doc .docx | — |
| Slides | .ppt .pptx | — |
| Sheet | .xls .xlsx | — |
| HTML | .html (Standard API, MinerU-HTML model) | — |
Common options
INPUT... One or more files, a directory, or a URL
--output, -o Output directory (default: ./output)
--api auto | agent | standard (default: auto)
--model pipeline | vlm | MinerU-HTML (default: vlm)
--format docx | html | latex (repeatable; forces Standard API)
--lang OCR/document language (default: ch)
--ocr Enable OCR for scanned documents
--pages Page range, e.g. "1-10" or "2,4-6"
--workers, -w Concurrent submit/upload/download slots (default: 8)
--resume Skip inputs already parsed
--stdout Print Markdown to stdout
--json Print machine-readable status to stdout
--to SINK Deliver into a content tool (repeatable); --list-sinks to enumerate
--obsidian PATH Shortcut for --to obsidian with this vault
--engine cloud | local | auto (local/auto parse born-digital PDFs offline)
--split Split oversized PDFs past the page caps, parse parts, merge (needs pypdf)
--chunk Emit heading-aware RAG chunks (.chunks.json + --json)
--doctor Environment self-check and exit
MCP server
Expose MinerU over MCP (zero-dependency stdio JSON-RPC) so an MCP host can call it:
python3 scripts/mineru_mcp.py
Tools: mineru_parse, mineru_parse_to (parse + deliver to sinks), mineru_list_sinks.
Deliver into your tools (--to)
Parse once and push the Markdown into content tools via each one's official path:
python3 scripts/mineru.py paper.pdf --to obsidian --to notion --to feishu
Targets: obsidian logseq siyuan notion linear yuque coda slack
feishu confluence onenote ticktick dingtalk airtable wecom (all
zero-dependency), plus roam and wps via optional extras. Each reads its config
from env vars (run --list-sinks). Per-target auth, fidelity, and image notes:
references/integrations.md.
Output
output/
└── document-name/
├── document-name.md # clean Markdown
└── images/ # extracted figures (Standard API)
Performance (real, measured)
End-to-end latency for the official demo PDF via the free Agent API:
cold ≈ 14 s · warm ≈ 13 s (submit → poll → download). Batches scale with
--workers. Numbers come from the no-mock live benchmark in tests/test_live.py.
Testing
python3 -m pytest # fast unit suite (offline)
MINERU_LIVE=1 python3 -m pytest -m live -s # real API + benchmark (no mocks)
API Reference
See references/api_reference.md. Official docs: https://mineru.net/apiManage/docs · Token: https://mineru.net/apiManage/token