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This article introduces MinerU, an open-source document parsing tool that converts complex documents like PDFs, images, and DOCX files into machine-readable Markdown and JSON formats. It supports formula recognition, table extraction, OCR, and other features, making it an ideal data preprocessing tool for building Agent workflows.
Section 01
MinerU is an open-source document parsing tool designed to solve the document structuring challenges in the LLM and Agent era. It supports multi-format inputs such as PDF, image, and DOCX, and can convert them into Markdown/JSON formats. With core features like formula recognition, table extraction, and OCR, it is an ideal preprocessing tool for building Agent workflows and RAG systems.
Section 02
MinerU was born during the pre-training process of the InternLM large model, focusing on solving the symbol conversion problem of scientific literature. Compared to commercial products, its open-source nature and rapid iteration make it an important player in the document parsing field.
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uv pip install -U mineru[all]), source code installation, Docker deployment;Section 06
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Limitations: Reading order may be incorrect for extremely complex layouts; limited support for vertical text; no code block support; poor parsing of special formats (comics/textbooks); incorrect row/column recognition in complex tables; Future: The team will continue to improve; community feedback via GitHub is welcome.
Section 08
MinerU is evolving from an independent tool to a large-scale document parsing infrastructure. v3.0 reduces resource consumption while maintaining high accuracy, supporting multi-GPU deployment and load balancing. For LLM application developers, it is an open-source tool worth trying. The project uses the AGPLv3 license, and related papers such as MinerU-Diffusion have been published.
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