PDF to Markdown Converter
Overview
Developed an intelligent document conversion tool that leverages OCR technology and large language models to transform PDF documents into well-formatted Markdown while preserving the original document’s structure, formatting, and styling elements. This solution addresses the common challenge of extracting and converting content from PDFs into editable, version-control friendly formats.
Key Features
- Accurate Text Extraction: Uses advanced OCR techniques to precisely extract text from PDFs
- Structure Preservation: Maintains document hierarchy (headings, paragraphs, lists)
- Table Conversion: Transforms complex tables into Markdown table format
- Image Handling: Extracts and properly references images from the source document
- Smart Formatting: Preserves text styling (bold, italic, underline)
- Batch Processing: Supports converting multiple documents with a single command
Technical Details
- Implemented custom OCR preprocessing pipeline to improve text recognition accuracy
- Developed intelligent structure detection algorithms for identifying document elements
- Utilized large language models to enhance formatting decisions and error correction
- Created a modular architecture allowing for easy integration with document management systems
Technologies Used
- Python
- OCR Libraries
- Large Language Models
- Document Processing Frameworks
- Jupyter Notebooks
GitHub Repository
View the source code and documentation on GitHub.
Project Timeline
May 2025 - Present
Applications
This tool is particularly valuable for:
- Technical documentation conversion
- Academic paper processing
- Legacy document digitization
- Content migration projects
Contact
For more information or to discuss potential applications, please contact me.