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🤖 AI Tool AI 工具 ★ 20k+ GitHub Stars document pdf parsing

MinerU – MinerU 文档解析

High-quality document parser converting PDFs to Markdown

View on GitHub ↗ 在 GitHub 查看 ↗ Official Website ↗ 官方网站 ↗
Category分类
AI Tool AI 工具
ai-tools
GitHub StarsGitHub 星数
20k+
Community adoption社区认可度
License许可证
Apache-2.0
Check repository 查看仓库
Tags标签
document, pdf, parsing
4 tags total个标签

What Is MinerU? MinerU 是什么?

MinerU is an open-source end-user AI application with 20k+ GitHub stars. High-quality document parser converting PDFs to Markdown

As a end-user AI application, MinerU is designed to help developers and teams integrate AI capabilities into their projects without building everything from scratch. It provides a ready-to-use interface that reduces the time from idea to working prototype.

The project is maintained on GitHub at github.com/opendatalab/MinerU and is actively developed with a strong open-source community. With 20k+ stars, it is one of the most widely adopted tools in its category.

MinerU's 20k+ community validates its utility—this isn't a weekend project, it's maintained software. A practical choice for teams that want to run this locally. Performance scales with hardware—the quality difference between running on a capable GPU vs. CPU is substantial for latency-sensitive applications.

MinerU's 20k+ community validates its utility—this isn't a weekend project, it's maintained software. A practical choice for teams that want to run this locally. Performance scales with hardware—the quality difference between running on a capable GPU vs. CPU is substantial for latency-sensitive applications.

— AI Nav Editorial Team

Key Features 核心功能

  • 🔓
    Open Source — MIT/Apache licensed—inspect, fork, modify, and self-host with no vendor lock-in.

Pros & Cons 优缺点

Pros优点

  • High-quality PDF to Markdown conversion with layout understanding
  • Handles complex PDFs: multi-column, tables, mathematical formulas, and figures
  • Better structured output than generic PDF parsers for LLM ingestion
  • Actively developed by OpenDataLab

Cons缺点

  • Requires GPU for best performance on complex PDF layouts
  • Processing speed on large documents can be slow
  • Newer project — less battle-tested than established PDF parsing libraries

Use Cases 应用场景

MinerU is used across a wide range of applications in the AI development ecosystem. Here are the most common scenarios where teams choose MinerU:

🚀 Rapid Prototyping

Build and test AI-powered features in hours, not weeks, with ready-made interfaces and integrations.

⚡ Developer Productivity

Automate repetitive coding, documentation, and analysis tasks to reclaim hours in every sprint.

🔍 Research & Analysis

Process large volumes of text, images, or structured data with AI to extract actionable insights.

🏠 Local & Private AI

Run AI workloads on your own hardware for complete data privacy—no cloud subscription required.

Getting Started with MinerU MinerU 快速开始

To get started with MinerU, visit the GitHub repository and follow the installation instructions in the README. Many AI tools provide Docker images for quick deployment: check the repository for the latest docker-compose.yml or installer script.

💡 Tip: Check the GitHub repository's Issues and Discussions pages for community support, and the Releases page for the latest stable version.
Get Started with MinerU 立即开始使用 MinerU
Visit the official site for documentation, downloads, and cloud plans. 访问官方网站获取文档、下载和云端方案。
Visit Official Site ↗ 访问官方网站 ↗

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Frequently Asked Questions 常见问题

What is MinerU?
MinerU is an open-source tool for converting PDFs to high-quality Markdown, specifically designed for LLM document ingestion. It handles complex layouts including multi-column text, tables, mathematical formulas, and figure captions with better accuracy than generic PDF parsers.
MinerU vs MarkItDown — which is better for PDF conversion?
MinerU produces higher quality output for complex PDFs (academic papers, technical documents with tables and math). MarkItDown is broader in supported file types (Office docs) but simpler in PDF handling. For academic PDF ingestion into RAG systems, MinerU is the better choice.
Is MinerU free?
Yes, MinerU is Apache 2.0 licensed and free to use.