An intelligent PDF extraction router that classifies pages and routes them to optimal processing backends (PyMuPDF, Docling, OCR). Includes confidence scoring and auto-reextraction to prevent silent failures in RAG pipelines.
pdfmux is a PDF extraction router that automatically classifies each page in a PDF document (digital, scanned, or table-based) and routes it to the most appropriate processing backend. It uses PyMuPDF, Docling, OCR, and optional LLM fallback to extract content with maximum accuracy. The tool includes per-page confidence scoring that flags low-quality extractions and automatically re-processes them, preventing silent failures in RAG (Retrieval-Augmented Generation) systems.
Installation is straightforward with zero configuration required. Simply run pip install pdfmux to install the package. The tool comes with a built-in MCP (Model Context Protocol) server, making it easy to integrate into AI workflows and applications without additional setup steps.
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