PDF-Extract-Kit is a document extraction toolkit designed to convert PDF documents into structured formats such as Markdown, HTML, and LaTeX. It functions as a multi-stage parsing framework that combines a document layout analyzer, a formula recognition engine, an OCR text extractor, and a table extraction system.
The project focuses on recovering complex document elements by translating images of mathematical formulas and tabular structures into editable source code. It utilizes model-driven layout analysis to identify structural elements in reports and textbooks while ignoring noise like watermarks or blurring.
The system supports the composition of custom parsing pipelines through configuration files and provides tools for benchmarking extraction model performance against datasets. Its broader capabilities include optical character recognition for extracting text and spatial coordinates, as well as vision-to-LaTeX translation for mathematical notation.
