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pdfmux

PDF extraction with self-healing and cost-aware mechanisms

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

49views this month

82 stars14 forksLast push Sep 12, 2026 Python MIT

Decision brief

pdfmux offers efficient PDF extraction with self-healing, no AI required, at various cost modes.

Good fit when

You need high accuracy without LLMs or GPUs.
Handling diverse document types including scanned PDFs.

Avoid when

Require real-time GPU-based AI processing for speed.
Working with non-PDF file formats as sole tool.

Observed Jul 12, 2026 · Source: enrich:decision_facts

pdfmux alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Active (8d since push); As of Sep 20, 2026
Provenance: Not a fork · Personal account; As of Sep 20, 2026
Security (OSV): 1 medium (1 medium); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install pdfmux

How it fits your stack(2)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Related

Both PaddleOCR and pdfmux deal with PDF processing and extraction, but while PaddleOCR focuses on OCR and document parsing to generate structured data from images/PDFs, pdfmux emphasizes self-healing mechanisms for cost-aware PDF extraction.

pdfmux provides PDF extraction capabilities that could be useful for integrating with paperless-ngx for document processing and management.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A Python library for extracting information from PDF documents, supporting various optimization modes that balance accuracy and cost.

Capability facts

Deploy: Self-host
Source: dockerfile:Dockerfile · Sep 20, 2026
Docker: Dockerfile present
Source: dockerfile:Dockerfile · Sep 20, 2026
CLI: CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 20, 2026
MCP server: No MCP server detected
Source: repo_scan · Sep 20, 2026
Languages: python
Source: github.language+pyproject.toml · Sep 20, 2026

Categories

Data & Retrieval Evaluation & Observability

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

Requires Python 3.11+.

Tags

ocr pdf-extraction self-healing structured-extraction

README

Install That handles digital PDFs. For any real world batch, install too — almost every directory of PDFs has at least one scan, and without OCR those pages return empty text: Other backends, by document type: Requires Python 3.11+. cost aware extraction with budget cap pdfmux co...

For agents

This page has a .md twin and JSON over the API.

/tools/nameetp-pdfmux.md GET /api/graphcanon/tools/nameetp-pdfmux GET /api/graphcanon/graph?tool=nameetp-pdfmux

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