How do I install the Mineru skill?

Run npx skillmds@latest add dvcrn/mineru-2 in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Mineru safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: executes scripts, makes network calls, reads secrets. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Mineru?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Mineru free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Mineru?

dvcrn (@dvcrn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Mineru by dvcrn — Agent Skill

Name: Mineru
Rating: 4.2 (5 reviews)
Author: dvcrn

Mineru

Parse PDFs, Word docs, PPTs, and images into clean Markdown using MinerU's VLM engine. Use when: (1) Converting PDF/Word/PPT/image to Markdown, (2) Extracting text/tables/formulas from documents, (3) Batch processing multiple files, (4) Saving parsed content to Obsidian or knowledge bases. Supports LaTeX formulas, tables, images, multilingual OCR, and async parallel processing.

dvcrn Updated Sep 9, 2026 32 repo stars

File contents

MinerU Document Parser

Convert PDF, Word, PPT, and images to clean Markdown using MinerU's VLM engine — LaTeX formulas, tables, and images all preserved.

Setup

Get free API token at https://mineru.net/user-center/api-token

export MINERU_TOKEN="your-token-here"

Limits: 2000 pages/day · 200 MB per file · 600 pages per file

Supported File Types

Type	Formats
📕 PDF	`.pdf` — papers, textbooks, scanned docs
📝 Word	`.docx` — reports, manuscripts
📊 PPT	`.pptx` — slides, presentations
🖼️ Image	`.jpg`, `.jpeg`, `.png` — OCR extraction

Commands

Single File

python3 scripts/mineru_v2.py --file ./document.pdf --output ./output/

Batch Directory with Resume

python3 scripts/mineru_v2.py \
  --dir ./docs/ \
  --output ./output/ \
  --workers 10 \
  --resume

Direct to Obsidian

python3 scripts/mineru_v2.py \
  --dir ./pdfs/ \
  --output "~/Library/Mobile Documents/com~apple~CloudDocs/Obsidian/VaultName/" \
  --resume

Chinese Documents

python3 scripts/mineru_v2.py --dir ./papers/ --output ./output/ --language ch

Complex Layouts (Slow but Most Accurate)

python3 scripts/mineru_v2.py --file ./paper.pdf --output ./output/ --model vlm

CLI Options

--dir PATH          Input directory (PDF/Word/PPT/images)
--file PATH         Single file
--output PATH       Output directory (default: ./output/)
--workers N         Concurrent workers (default: 5, max: 15)
--resume            Skip already processed files
--model MODEL       Model version: pipeline | vlm | MinerU-HTML (default: vlm)
--language LANG     Document language: auto | en | ch (default: auto)
--no-formula        Disable formula recognition
--no-table          Disable table extraction
--token TOKEN       API token (overrides MINERU_TOKEN env var)

Model Version Guide

Model	Speed	Accuracy	Best For
`pipeline`	⚡ Fast	High	Standard docs, most use cases
`vlm`	🐢 Slow	Highest	Complex layouts, multi-column, mixed text+figures
`MinerU-HTML`	⚡ Fast	High	Web-style output, HTML-ready content

Script Selection

Script	Use When
`mineru_v2.py`	Default — async parallel (up to 15 workers)
`mineru_async.py`	Fast network, need maximum throughput
`mineru_stable.py`	Unstable network — sequential, max retry

Output Structure

output/
├── document-name/
│   ├── document-name.md    # Main Markdown
│   ├── images/             # Extracted images
│   └── content.json        # Metadata

Performance

Workers	Speed
1 (sequential)	1.2 files/min
5	3.1 files/min
15	5.6 files/min

Error Handling

5x auto-retry with exponential backoff
Use --resume to continue interrupted batches
Failed files listed at end of run

API Reference

For detailed API documentation, see references/api_reference.md.

---name: mineru-2description: Parse PDFs, Word docs, PPTs, and images into clean Markdown using MinerU's VLM engine. Use when: (1) Converting PDF/Word/PPT/image to Markdown, (2) Extracting text/tables/formulas from documents, (3) Batch processing multiple files, (4) Saving parsed content to Obsidian or knowledge bases. Supports LaTeX formulas, tables, images, multilingual OCR, and async parallel processing.--- # MinerU Document Parser Convert PDF, Word, PPT, and images to clean Markdown using MinerU's VLM engine — LaTeX formulas, tables, and images all preserved. ## Setup 1. Get free API token at https://mineru.net/user-center/api-token ```bash export MINERU_TOKEN="your-token-here" ``` **Limits:** 2000 pages/day · 200 MB per file · 600 pages per file ## Supported File Types | Type | Formats | |------|---------| | 📕 PDF | `.pdf` — papers, textbooks, scanned docs | | 📝 Word | `.docx` — reports, manuscripts | | 📊 PPT | `.pptx` — slides, presentations | | 🖼️ Image | `.jpg`, `.jpeg`, `.png` — OCR extraction | ## Commands ### Single File ```bash python3 scripts/mineru_v2.py --file ./document.pdf --output ./output/ ``` ### Batch Directory with Resume ```bash python3 scripts/mineru_v2.py \ --dir ./docs/ \ --output ./output/ \ --workers 10 \ --resume ``` ### Direct to Obsidian ```bash python3 scripts/mineru_v2.py \ --dir ./pdfs/ \ --output "~/Library/Mobile Documents/com~apple~CloudDocs/Obsidian/VaultName/" \ --resume ``` ### Chinese Documents ```bash python3 scripts/mineru_v2.py --dir ./papers/ --output ./output/ --language ch ``` ### Complex Layouts (Slow but Most Accurate) ```bash python3 scripts/mineru_v2.py --file ./paper.pdf --output ./output/ --model vlm ``` ## CLI Options ``` --dir PATH Input directory (PDF/Word/PPT/images) --file PATH Single file --output PATH Output directory (default: ./output/) --workers N Concurrent workers (default: 5, max: 15) --resume Skip already processed files --model MODEL Model version: pipeline | vlm | MinerU-HTML (default: vlm) --language LANG Document language: auto | en | ch (default: auto) --no-formula Disable formula recognition --no-table Disable table extraction --token TOKEN API token (overrides MINERU_TOKEN env var) ``` ## Model Version Guide | Model | Speed | Accuracy | Best For | |-------|-------|----------|----------| | `pipeline` | ⚡ Fast | High | Standard docs, most use cases | | `vlm` | 🐢 Slow | Highest | Complex layouts, multi-column, mixed text+figures | | `MinerU-HTML` | ⚡ Fast | High | Web-style output, HTML-ready content | ## Script Selection | Script | Use When | |--------|----------| | `mineru_v2.py` | Default — async parallel (up to 15 workers) | | `mineru_async.py` | Fast network, need maximum throughput | | `mineru_stable.py` | Unstable network — sequential, max retry | ## Output Structure ``` output/ ├── document-name/ │ ├── document-name.md # Main Markdown │ ├── images/ # Extracted images │ └── content.json # Metadata ``` ## Performance | Workers | Speed | |---------|-------| | 1 (sequential) | 1.2 files/min | | 5 | 3.1 files/min | | 15 | 5.6 files/min | ## Error Handling - 5x auto-retry with exponential backoff - Use `--resume` to continue interrupted batches - Failed files listed at end of run ## API Reference For detailed API documentation, see [references/api_reference.md](references/api_reference.md).

Frequently asked questions