71 lines
11 KiB
Markdown
71 lines
11 KiB
Markdown
<div align="center" xmlns="http://www.w3.org/1999/html">
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<!-- logo -->
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<p align="center">
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<img src="https://opendatalab.github.io/MinerU/images/MinerU-logo.png" width="300px" style="vertical-align:middle;">
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</p>
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</div>
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<!-- icon -->
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[](https://github.com/opendatalab/MinerU)
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[](https://github.com/opendatalab/MinerU)
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[](https://github.com/opendatalab/MinerU/issues)
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[](https://github.com/opendatalab/MinerU/issues)
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[](https://pypi.org/project/mineru/)
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[](https://pypi.org/project/mineru/)
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[](https://pepy.tech/project/mineru)
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[](https://pepy.tech/project/mineru)
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[](https://mineru.net/OpenSourceTools/Extractor?source=github)
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[](https://huggingface.co/spaces/opendatalab/MinerU)
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[](https://www.modelscope.cn/studios/OpenDataLab/MinerU)
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[](https://colab.research.google.com/gist/myhloli/a3cb16570ab3cfeadf9d8f0ac91b4fca/mineru_demo.ipynb)
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[](https://arxiv.org/abs/2409.18839)
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[](https://arxiv.org/abs/2509.22186)
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[](https://deepwiki.com/opendatalab/MinerU)
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<div align="center">
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<a href="https://trendshift.io/repositories/11174" target="_blank"><img src="https://trendshift.io/api/badge/repositories/11174" alt="opendatalab%2FMinerU | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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<!-- hot link -->
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<p align="center">
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🚀<a href="https://mineru.net/?source=github">MinerU Official Website→✅ Zero-Install Online Version ✅ Full-Featured Client ✅ Developer API Online Access, skip deployment hassles, get all product formats with one click, go fast!</a>
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</p>
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<!-- join us -->
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<p align="center">
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👋 join us on <a href="https://discord.gg/Tdedn9GTXq" target="_blank">Discord</a> and <a href="https://mineru.net/community-portal/?aliasId=3c430f94" target="_blank">WeChat</a>
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</p>
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</div>
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## Project Introduction
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MinerU is a tool that converts PDFs into machine-readable formats (e.g., markdown, JSON), allowing for easy extraction into any format.
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MinerU was born during the pre-training process of [InternLM](https://github.com/InternLM/InternLM). We focus on solving symbol conversion issues in scientific literature and hope to contribute to technological development in the era of large models.
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Compared to well-known commercial products domestically and internationally, MinerU is still young. If you encounter any issues or if the results are not as expected, please submit an issue on [GitHub Issues](https://github.com/opendatalab/MinerU/issues) and **attach the relevant PDF**.
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## Key Features
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- Remove headers, footers, footnotes, page numbers and other elements to ensure semantic coherence
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- Output text in human reading order, suitable for single-column, multi-column and complex layouts
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- Retain the original document structure, including titles, paragraphs, lists, etc.
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- Extract images, image descriptions, tables, table titles and footnotes
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- Automatically identify and convert formulas in documents to LaTeX format
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- Automatically identify and convert tables in documents to HTML format
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- Automatically detect scanned PDFs and garbled PDFs, and enable OCR functionality
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- OCR supports detection and recognition of 109 languages
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- Support multiple output formats, such as multimodal and NLP Markdown, reading-order-sorted JSON, and information-rich intermediate formats
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- Support multiple visualization results, including layout visualization, span visualization, etc., for efficient confirmation of output effects and quality inspection
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- Support pure CPU environment operation, and support GPU(CUDA)/NPU(CANN)/MPS acceleration
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- Compatible with Windows, Linux and Mac platforms
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## User Guide
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- [Quick Start Guide](./quick_start/index.md)
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- [Detailed Usage Instructions](./usage/index.md)
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