An open source project called gptpdf on GitHub has become popular recently, gaining 1.1k stars in a short period of time. This project uses only 293 lines of code to realize the function of converting PDF files into Markdown format. Its powerful parsing capabilities are amazing. It uses a VLLM model similar to GPT-4o and can perfectly handle a variety of complex content, including typesetting, mathematical formulas, tables, pictures and charts, etc., greatly improving document processing efficiency. The project has provided product entrance to facilitate users to experience its convenient functions. The following is a detailed introduction to the project:
Recently, an open source project called gptpdf has 1.1k stars on github. It uses a VLLM model similar to GPT-4o to parse PDF files and convert them into Markdown format.
gptpdf product entrance: https://top.aibase.com/tool/gptpdf
It is understood that the code of this project only has 293 lines, but it can almost perfectly parse various contents such as typesetting, mathematical formulas, tables, pictures, charts and so on.
The steps to implement gptpdf are:
1) Use the PyMuPDF library to parse out all non-text areas and mark them (for saving tokens)
2) Use multi-modal models (such as GPT-4o) to parse and obtain markdown files
It’s worth mentioning that gptpdf costs an average of $0.013 per page.
Highlight:
- This open source project uses a multimodal model similar to GPT-4o to parse PDF files and convert them to Markdown format.
- The project code is concise and efficient, with only 293 lines.
- The analysis results almost perfectly include various contents such as typesetting, mathematical formulas, tables, pictures, charts, etc.
With its efficient and concise code and powerful functions, gptpdf undoubtedly provides an efficient and economical solution for converting PDF to Markdown. Its low cost also makes it extremely cost-effective. It is believed that this project will be more widely used and developed in the future.