mineru
Skill119 starsChanged 49 days agoMITView on GitHub
An AI-Native skill for parsing PDF / Office / image files into clean Markdown with MinerU — a fast, zero-config document parser for AI agents. Works with NO token via the lightweight Agent API and auto-upgrades to the Standard API (token) for large files, batches, and DOCX/HTML/LaTeX export. Use when: (1) Converting PDF/Word/PPT/Excel/image to Markdown, (2) Extracting text, tables, formulas, or running OCR on scanned docs, (3) Batch-parsing a folder in parallel, (4) Piping parsed Markdown straight back to an agent or into Obsidian.
- Installs packages
6 other projects use a version of this.
Adopted by
Most recently taken up by
- LeoLin990405/grimoire-skilltheir own version, first seen Nov 8, 2026
- opendatalab/MinerUtheir own version, first seen Oct 8, 2026
- 2867203296/hermes-agenttheir own version, first seen Aug 19, 2026
- xjsongphy/skillstheir own version, first seen Aug 17, 2026
- walkingjohnny/ai-workbenchtheir own version, first seen May 5, 2026
- liangdabiao/fetch-everythingtheir own version, first seen Mar 30, 2026
Other versions6 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 6
- opendatalab/MinerU★ 83ksame name
- liangdabiao/fetch-everything★ 47same name
- LeoLin990405/grimoire-skill★ 8same name
- xjsongphy/skills★ 7same name
- walkingjohnny/ai-workbench★ 1same name
- 2867203296/hermes-agent★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repositoryOne other file it gives its agents.
- mineruSkill
The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 59
When a token is set, the tool auto-routes: small single files still use the free Agent API.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
MinerU 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 --jsonNo 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 uvPower 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 latexWhen 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 exitMCP server
Expose MinerU over MCP (zero-dependency stdio JSON-RPC) so an MCP host can call it:
python3 scripts/mineru_mcp.pyTools: 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 feishuTargets: 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
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