This Github project uses a GPT model to parse PDF files, which can perfectly parse the layout, mathematical formulas, tables, images, and charts within PDFs. The average cost per page is $0.013. The steps to parse PDF files are as follows: 1. Use the PyMuPDF library to parse the PDF into non-text areas and text areas. Use the PyMuPDF library to parse the PDF into non-text areas and text areas, and then use a large visual model (such as GPT-4o) to parse and obtain a Markdown file.

Recently, an open-source project called gptpdf has gained 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 Entry: https://top.aibase.com/tool/gptpdf It is learned that the code for this project consists of only 293 lines, yet it can nearly perfectly parse and include content such as formatting, mathematical formulas, tables, images, charts, and more. The implementation steps of gptpdf are: 1) Use the PyMuPDF libr