

Pdfdeal
Overview :
Pdfdeal is a Python tool that packages the Doc2X API, providing local PDF processing capabilities to enhance PDF recall in RAG (Retrieval Augmented Generation). It supports various output formats, including text, Markdown, and PDF, and allows customization of OCR language and utilizes GPU acceleration. It also integrates with Doc2X, a service with a daily free usage quota of 500 pages, which excels in recognizing tables and formulas.
Target Users :
Targeted at developers and data scientists who work with large volumes of PDF documents and need to extract information from them. Pdfdeal can help improve the efficiency and accuracy of information extraction, especially when building knowledge bases or conducting data analysis.
Use Cases
Extract text and formulas from academic papers using pdfdeal to build a specialized domain knowledge base.
Batch convert company reports to Markdown format for easy sharing and collaboration on GitHub.
Automate the data processing and analysis of financial statements using Doc2X's table recognition feature.
Features
Improved stability for batch file processing
Support for custom OCR functions, including using pytesseract or skipping OCR
Support for OCR in multiple languages
Support for GPU-accelerated OCR processing
Generate text in Markdown or LaTeX format
Support for converting PDF directly to Markdown/LaTeX/DOCX format
Daily 500-page free usage quota for Doc2X
How to Use
Install pdfdeal through PyPI or from the source code.
Import the pdfdeal library and call the deal_pdf function.
Set input parameters, including the PDF file path, output format, OCR language, etc.
Execute the deal_pdf function to begin processing the PDF file.
Retrieve the output as needed, which could be a text string, Markdown file, or new PDF file.
If using custom OCR or Doc2X, ensure the necessary dependencies are installed and correctly configured.
Review the output results to ensure the information extraction meets expectations.
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