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PDF-to-Markdown

Welcome to the PDF to Markdown Converter repository! This project employs the capabilities of PyMuPDF to efficiently process PDF documents and convert them into Markdown files. The repository demonstrates a lightweight and straightforward solution to extracting the text and structure from PDFs, while maintaining compatibility with Markdown syntax. Furthermore the repository shows the devoloping path of the code.

Why Use PyMuPDF?

When it comes to converting PDFs into Markdown, many modern approaches, for instance Docling, offer advanced features such as the management of tables, images, and mathematical equations. However, such tools often misinterpret document structures, for example mistaking headings, which is a common issue.

PyMuPDF, on the other hand, provides a simpler and more precise method for:

  • Extracting text and preserving the logical structure.
  • Avoiding common misinterpretations of headings and other document components through logical processing.
  • Offering a reliable baseline for further manual adjustments and processing.

While PyMuPDF has its limitations, such as no or less robust handling of:

  • Tables
  • Images
  • Mathematical equations

It excels in producing a clean, text-based Markdown representation of PDF content that serves as a practical foundation for further refinement.

Features

  • Accurate Text Extraction: Extracts plain text with headings and basic formatting.
  • Markdown Conversion: Converts PDF content directly into Markdown syntax for easy editing and use.
  • Customizable Processing: Allows users to extend or adjust functionality to meet specific needs through traceable developement path.

Limitations

While this tool is effective for text-based PDFs, it has some limitations:

  1. Tables: Basic table structures may not be preserved or accurately converted.
  2. Images: Image content is not extracted or embedded in the output.
  3. Mathematical Equations: Complex equations are not parsed and accurately converted.

These limitations are intrinsic to PyMuPDF’s focus on text extraction, making it best suited for text-heavy documents.

When to Use This Tool

This repository is ideal for:

  • Converting textual PDFs into Markdown for use in blogs, documentation, or content pipelines.
  • Working with documents where the structure and content are more important than complex formatting or visual elements.
  • Users who require a straightforward and reliable tool with minimal overhead.
  • Part of a pre-processing pipeline for Retrieval Augmented Generation Applications.

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