pdfmux
Self-healing PDF extraction that flags the pages it can't read instead of dropping them — and now certifies any extractor's output for silent drops. Open-source LlamaParse alternative for RAG pipelines, MCP server for Claude Desktop, LangChain + LlamaIndex loaders.
pdfmux extracts PDFs and checks its own work — and now certifies any extractor's, telling you which pages it silently dropped. Free, MIT. Patent-pending method.
pip install pdfmux.
Two jobs, one tool:
- Self-healing extraction. The only PDF extractor that audits its own output. Catches blank pages, scrambled columns, broken tables — re-extracts them with a stronger backend, and flags what it still can't read instead of silently dropping it. So your LLM gets clean data, not silent garbage. Routes each page to the best of 7 built-in extraction backends + BYOK LLM fallback (Gemini / Claude / GPT-4o / Ollama). One CLI. One API. Zero config.
- Certify Anything — new in v1.8.1.
pdfmux verifyaudits any extraction engine's output against the source PDF — Reducto, Mistral OCR, LlamaParse, Docling, your in-house parser — and tells you which pages it silently dropped. Free, MIT, patent-clean.
