MinerU

 

Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.

opendatalab.github.io/MinerU/

 

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🚀Access MinerU Now→✅ Zero-Install Web Version ✅ Full-Featured Desktop Client ✅ Instant API Access; Skip deployment headaches – get all product formats in one click. Developers, dive in!

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MinerU — High-accuracy document parsing engine for LLM · RAG · Agent workflows

Converts PDF · DOCX · PPTX · XLSX · Images · Web pages into structured Markdown / JSON · VLM+OCR dual engine · 109 languages
MCP Server · LangChain / Dify / FastGPT native integration · 10+ domestic AI chip support

🔍 Core Parsing Capabilities

• Native support for DOCX, PPTX, and XLSX parsing
• Formulas → LaTeX · Tables → HTML, accurate layout reconstruction
• Supports scanned docs, handwriting, multi-column layouts, cross-page table merging
• Output follows human reading order with automatic header/footer removal
• VLM + OCR dual engine, 109-language OCR recognition

🔌 Integration

Use Case	Solution
AI Coding Tools	MCP Server — Cursor · Claude Desktop · Windsurf
RAG Frameworks	LangChain · LlamaIndex · RAGFlow · RAG-Anything · Flowise · Dify · FastGPT
Development	Python / Go / TypeScript SDK · CLI · REST API · Docker
No-Code	mineru.net online · Gradio WebUI · Desktop client

🖥️ Deployment (Private · Fully Offline)

Inference Backend	Best For
pipeline	Fast & stable, no hallucination, runs on CPU or GPU
vlm-engine	High accuracy, supports vLLM / LMDeploy / mlx ecosystem
hybrid-engine	High accuracy, native text extraction, low hallucination

Domestic AI chips: Ascend · Cambricon · Enflame · MetaX · Moore Threads · Kunlunxin · Iluvatar · Hygon · Biren · T-Head

from  https://github.com/opendatalab/MinerU

( https://opendatalab.github.io/MinerU/quick_start/)