Overview
MinerU is an open-source PDF document parsing tool developed by Shanghai AI Laboratory, designed specifically for scientific literature and complex document processing. It can convert PDF documents into machine-readable formats (such as Markdown, JSON) with high precision while maintaining the original document structure and semantic integrity.
Key Features
- High-Precision Parsing - Preserves document structure including titles, paragraphs, lists, ensuring semantic coherence
- Multiple Output Formats - Supports Markdown, JSON and other output formats for different application scenarios
- Intelligent OCR Recognition - Automatically detects scanned PDFs, supports text recognition in 84 languages
- Formula and Table Processing - Automatically recognizes and converts mathematical formulas to LaTeX, tables to HTML format
- Multimodal Extraction - Extracts images, image descriptions, table titles, footnotes and other multimedia content
Use Cases
- Academic Literature Processing - Convert research papers into structured data for literature analysis and knowledge extraction
- RAG System Construction - Provide high-quality document data sources for large language models
- Data Preprocessing - Batch process PDF documents to prepare training data for machine learning models
- Content Management Systems - Digitize traditional PDF materials into searchable and editable formats
Technical Features
- Multi-Backend Support - Provides multiple parsing backends including pipeline, vlm-transformers
- Hardware Acceleration - Supports GPU(CUDA), NPU(CANN), MPS and other hardware acceleration
- Cross-Platform Compatibility - Compatible with Windows, Linux and macOS operating systems
- Visualization Verification - Provides layout and span visualization for result quality inspection
- Flexible Deployment - Supports command line, API, WebUI and Docker deployment methods