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Mineru
Overview :
MinerU is an open-source tool focused on converting PDF files into machine-readable formats such as Markdown and JSON, facilitating content extraction and further processing. It addresses symbol conversion issues in scientific literature, supports various output formats, and is compatible with multiple operating systems. Key advantages of MinerU include removing headers, footers, footnotes, and page numbers while maintaining the original document structure, automatically recognizing and converting formulas and tables within documents, OCR capabilities, and support for detection and recognition in up to 84 languages.
Target Users :
The target audience includes users who need to process large amounts of PDF documents, such as researchers, data analysts, and document editors. MinerU is suitable for them as it can quickly and accurately extract information from PDFs, supporting multiple languages and formats to enhance work efficiency.
Use Cases
Researchers use MinerU to convert academic paper PDFs into Markdown for easy citation and further analysis.
Data analysts utilize MinerU to extract tabular data from financial reports for data organization and analysis.
Document editors employ MinerU to convert scanned book pages into structured JSON data for eBook production.
Features
Remove headers, footers, footnotes, and page numbers from PDFs to ensure semantic coherence.
Output text order is suitable for human reading, applicable to single-column, multi-column, and complex layouts.
Maintain the original document structure, including titles, paragraphs, lists, etc.
Extract images, image descriptions, tables, table titles, and footnotes.
Automatically recognize and convert formulas in documents to LaTeX format.
Automatically recognize and convert tables in documents to HTML format.
Automatically detect scanned PDFs and corrupted PDFs with OCR capabilities.
OCR supports detection and recognition in 84 languages.
Supports various output formats like multi-modal and NLP Markdown, and JSON sorted by reading order.
Compatible with both CPU and GPU environments.
Compatible with Windows, Linux, and Mac platforms.
How to Use
1. Install MinerU: Follow the official documentation to create a Python virtual environment and install MinerU.
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2. Download the model weight files: Download the necessary model files as instructed in the documentation.
3. Modify the configuration file: Adjust parameters in the configuration file as needed, such as enabling or disabling table recognition.
4. Run MinerU: Use the command-line tool or API to process local PDF files.
5. View output results: MinerU will save the processed files in the specified output directory, including Markdown files and image folders.
6. Further processing: Edit or analyze the output Markdown or JSON files as needed.
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