Pix2Text is a Python tool for converting images containing text, tables, mathematical formulas, and layouts into Markdown format.
The tool addresses the need to extract and digitize visual content from documents and images. It uses optical character recognition combined with specialized models for detecting and recognizing mathematical formulas, analyzing page layouts, and extracting table structures. The approach converts all recognized elements into Markdown, making the output suitable for further processing or integration into documents. The tool supports over eighty languages and positions itself as a free alternative to commercial services like Mathpix.
Developers should choose this tool if they need to process documents with mixed content including formulas, tables, and text, particularly when working with scientific or technical documents. It suits projects requiring batch processing of images or PDFs into structured text formats. The README explicitly positions the tool as an alternative to Mathpix, offering comparable core functionality without licensing costs. The tool provides both a Python library for programmatic use and an online service for direct access.
The project maintains active development with regular model improvements. Mathematical formula detection and recognition models have been upgraded to newer versions with enhanced accuracy. Layout analysis capabilities were expanded through integration of a new model for improved handling of complex document structures. Support for vision language models was added, allowing integration with closed-source VLM services through a standardized interface. PDF conversion functionality was introduced alongside table recognition capabilities, extending the tool's scope beyond single-image processing.
