Registry indexed
An AI-Native skill for parsing PDF / Office / image files into Markdown with MinerU — a fast, zero-config document parser for AI agents. Works with NO token via the Agent API and auto-upgrades to the Standard API (token) for large files, batches, and DOCX/HTML/LaTeX export. Use w
An AI-Native skill for parsing PDF / Office / image files into Markdown with MinerU — a fast, zero-config document parser for AI agents. Works with NO token via the Agent API and auto-upgrades to the Standard API (token) for large files, batches, and DOCX/HTML/LaTeX export. Use when converting PDF/Word/PPT/Excel/image documents, extracting text/tables/formulas, running OCR, or batch processing.
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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.
# 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.
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
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.
| 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) | — |
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
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.
--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/
└── document-name/
├── document-name.md # clean Markdown
└── images/ # extracted figures (Standard API)
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.
python3 -m pytest # fast unit suite (offline)
MINERU_LIVE=1 python3 -m pytest -m live -s # real API + benchmark (no mocks)
See references/api_reference.md. Official docs: https://mineru.net/apiManage/docs · Token: https://mineru.net/apiManage/token
name: mineru
description: "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."
homepage: https://mineru.net
metadata:
author: Nebutra
version: "3.3.1"
argument-hint: <pdf-file-or-url>
openclaw:
emoji: "📄"
requires:
bins: ["python3"]---
name: mineru
description: "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."
homepage: https://mineru.net
metadata:
author: Nebutra
version: "3.3.1"
argument-hint: <pdf-file-or-url>
openclaw:
emoji: "📄"
requires:
bins: ["python3"]
---
# 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)
```bash
# 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](https://peps.python.org/pep-0723/) inline
metadata, so [uv](https://docs.astral.sh/uv/) runs it directly — no venv, no
`pip install`, with a uv-managed interpreter:
```bash
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
```bash
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 | `.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:
```bash
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:
```bash
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](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
```bash
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](references/api_reference.md). Official docs:
https://mineru.net/apiManage/docs · Token: https://mineru.net/apiManage/token
Source needs review
The tracked source changed or could not be synchronized. Review the current source before installing.
Review before install: Avoid automatic install
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Check the source for dependencies, API keys and third-party costs. A public repository does not mean every service is free.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
61/100
Promising
Trust
55/100
Do not auto-install
Audit
70/100
Needs review
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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}Listing source
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