MinerU: While others do OCR, it handles data preprocessing
A GitHub project with 58,000 stars that converts PDFs into structured data usable directly by AI. It parses text, tables, and formulas together, and can automatically remove headers and footers. This might be the most overlooked step in RAG workflows.
PDF processing is a major challenge in the AI field.
How did we handle it before? OCR recognition led to piles of garbled text; table extraction was never properly aligned; formulas? Don’t even mention them—OCR from images basically rendered them useless.
MinerU is different. It doesn’t just recognize text; it **understands documents**.
It parses text, tables, and formulas together, fully restoring the structure—headings, paragraphs, and tables each go to their rightful places. Formulas are directly converted to LaTeX, and headers/footers are automatically removed.
One core point: **Turn unstructured PDFs into structured data**.
This is exactly the hurdle that AI applications find hardest to overcome.
While others are still competing on OCR accuracy, MinerU has already moved to the next stage. For those working on RAG, Agents, or knowledge bases, this is ready to try directly.
GitHub: github.com/opendatalab/MinerU
⭐ 58,000
发布时间: 2026-04-07 17:28