AI PDF

gmft is a toolkit for converting tables in PDF to various formats. It's lightweight, modular and performs well. gmft relies on Microsoft's Table Transformers, which are the best performing and most reliable of the many alternatives. gmft runs without a GPU, has high throughput, and is easy to install with just one line of code. It uses PyPDFium2, favored for its high throughput and permissive license. The training model TATR used by gmft is trained on the diverse data set PubTables-1M and has high reliability.

pdfdeal is a Python-encapsulated Doc2X API tool that provides local PDF processing functions and aims to improve the recall rate of PDFs in RAG. The tool supports multiple output formats, including text, Markdown, PDF, etc., and can customize the OCR language and use GPU acceleration. It also supports Doc2X, which has a free daily quota of 500 pages and is particularly good at identifying tables and formulas.

gptpdf is a tool that leverages large visual language models (such as GPT-4o) to parse PDF files into Markdown format. It identifies non-text areas through the PyMuPDF library and uses the OpenAI API for content parsing, which can handle typesetting, mathematical formulas, tables, pictures, and charts almost perfectly. The average cost is $0.013 per page, making it efficient and low-cost.