MinerU
Intelligent document analysis platform for Agents and RAG, supporting PDF, Word, PPT, Excel and image analysis, and capable of outputting structured results such as Markdown, JSON, and LaTeX.
Updated: 2026-10-26
What is MinerU?
The official website title of MinerU is "Intelligent Document Parsing Platform for Agent and RAG". It does not focus on content creation but solves the pre-processing step in AI applications: it converts complexly formatted files such as PDFs and PPTs into machine-readable structured data. The official website provides online usage, API access, and client downloads, and open-sources the code on GitHub.
Who is it for?
- Developers who build RAG systems or knowledge bases and need to convert existing documents into structured data in batches
- Algorithm and data teams that need to process complexly formatted PDFs such as papers, research reports, and specifications
- Teams that need to prepare clean context for agents, and the official website states that it provides a login-free Agent channel
- Researchers in chemistry and scientific fields who process literature containing molecular graphs and reaction formulas
- Teams that want to build their own parsing pipeline locally can directly use the open-source repository
Key features
7Multi-format Parsing
The official website states that it supports one-click parsing of PDF, Word, PPT, Excel, images and web page URLs.
High-fidelity Structured Output
Outputs Markdown, JSON, and LaTeX. The official website emphasizes preserving the layout hierarchy to provide clean data for knowledge bases.
Intelligent Table Restoration
Restores complex tables such as rotated, cross-page, and merged cells, and outputs CSV, HTML, and Markdown.
Accurate Formula Conversion
The official website states that it can handle long formulas, multi-line formulas, and nested mathematical structures, and output LaTeX or MathML.
Chemical Paper Parsing
In collaboration with A4Chemistry, it provides molecular detection and recognition, chemical reaction extraction, and global molecular correlation.
Agent Workflow Integration
Natively supports the MCP protocol, can be exported to Dify and Notion, and the official website provides an entry to obtain the Agent access guide.
Diverse usage forms
The official website offers online usage, API access, and client downloads; the GitHub open-source repository also features open-source popularity data marked with Trending.
How to use MinerU
- 1Before parsing, clarify what format your downstream system needs first. If you need to feed data to a model, prioritize Markdown; if you need to store data in a database, choose JSON.
- 2Tables and formulas are the most error-prone parts of parsing, so manual sampling and verification are essential for important data.
- 3Before batch parsing, verify the effect with dozens of pages of samples; the cost of rework is high after running the full volume.
- 4Chemical structure recognition is a professional scenario; conduct small-scale verification with public papers before scaling up.
- 5The capabilities of the open-source repository and the official website service may be out of sync, and the key capabilities shall be subject to the current version description.
- 6When dealing with undisclosed documents, prioritize the access methods provided by the official and abide by the boundaries of data usage.
- 7The free and high-concurrency strategies listed on the official website may be adjusted with the service; please check the latest instructions before stress testing.
Traffic & popularity
Data month Sep 2026
MinerU receives about 110.8K visits per month and ranks #342,804 worldwide.
Monthly visits
12 monthsTraffic sources
- Direct65.5%
- Referrals17.8%
- Search15.3%
- Social0.8%
- AI assistants0.6%
Top countries
- China81.7%
- United States4.9%
- Singapore4.5%
- Hong Kong, China3.1%
- Taiwan, China2.0%
Estimated from third-party traffic data.
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