opendatalab/PDF-Extract-Kit: A Comprehensive Toolkit for High-Quality PDF Content Extraction

PDF-Extract-Kit is an open-source toolkit designed for efficient and high-quality extraction of content from complex PDFs. It integrates state-of-the-art models for tasks like layout detection, OCR, formula detection, and recognition, and features a modular design for ease of use and configuration. The toolkit has comprehensive evaluation benchmarks for performance and allows contributions from the community. Several specialized content extraction tasks, such as converting table images to LaTeX/HTML/Markdown, are supported. The project is open-sourced under the AGPL-3.0 license, and it leverages models like DocLayout-YOLO, PaddleOCR, and StructEqTable.