PDF-Extract-Kit is developed by the OpenDataLab team focused on complex PDF document content processing open source tools. The tool integrates the most advanced document parsing technology , including layout detection , formula recognition , table extraction and OCR functions , to achieve high-quality content extraction in a variety of scenarios such as academic papers , research reports and financial documents .
Its core advantages are reflected in three aspects: first, it adopts a modular design, users can flexibly configure the combination of functions according to specific needs; second, it provides a comprehensive evaluation benchmark to help users choose the optimal model; third, it is a continuous iterative updating, such as the recent addition of the DocLayout-YOLO significantly improve the processing speed, StructTable-InternVL2-1B has significantly improved the processing speed, and StructTable-InternVL2-1B has enhanced the table processing capability.
In practical applications, PDF-Extract-Kit shows excellent performance. For example, in the layout detection, using the YOLO series of algorithms can accurately identify the document title, paragraphs, images and tables; in the mathematical formula processing, the formula can be converted to standard LaTeX format; in the form extraction, support for the output of LaTeX/HTML/Markdown and other formats.
This answer comes from the articlePDF-Extract-Kit: extract the complex structure of PDF content of open source toolsThe
