Who should use pdfmux?

pdfmux is an open-source project built for AI developers building RAG applications.

Yes — pdfmux is open source under the MIT license and free to use.

What platforms does pdfmux run on?

pdfmux runs on the web, the command line, and API.

Is pdfmux still active?

The GitHub repository shows 46 commits in the last 90 days.

What projects are similar to pdfmux?

Similar projects tracked by PulseGate include Cliprise, chi-ai, and Ask AIs Anything.

pdfmux is developed by NameetP.

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pdfmux

Name: pdfmux
Author: NameetP

PyPIInfrastructure

pdfmux provides robust, self-healing PDF extraction optimized for Retrieval-Augmented Generation pipelines. It detects and flags unreadable pages instead of silently failing, offers per-page confidence scores, and generates verifiable signed manifests. It includes loaders for LangChain and LlamaIndex and serves as a strong alternative to tools like LlamaParse. Available as a Python package with an MCP server.

Open SourceMITWebCLIAPI

Visit PyPI

77stars

12forks

6features

2026since

Overview

6 features

pdfmux is an AI & ML project. Unreliable PDF parsing that silently drops or corrupts content when building RAG systems from documents. pdfmux is an open-source project aimed at AI developers building RAG applications. The project is open source (MIT). It runs on the web, the command line, and API.

Behind pdfmux is NameetP, and it first shipped in 2026. Development happens publicly on GitHub with 77 stars and 46 commits in the last 90 days. Among its 6 catalogued features are Self-healing Extraction, Confidence Scoring, and Page Flagging. It exposes integrations via an MCP server and a public API.

Summary written by a language model from the project’s public pages.

Self-healing Extraction
Confidence Scoring
Page Flagging
Signed Manifests
LangChain Integration
LlamaIndex Loaders

Built with & integrations

AI providers

multiple

Connectors

MCPAPI

Runs on

BrowserCLIAPI-only

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 77Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed27 Jul · 08:16 UTC
pdfmux verified against its public source
Source: PulseGate · Open

Frequently asked questions about pdfmux

What is pdfmux?: Unreliable PDF parsing that silently drops or corrupts content when building RAG systems from documents. It is catalogued under AI & ML on PulseGate.
Who should use pdfmux?: pdfmux is an open-source project built for AI developers building RAG applications.
Is pdfmux free?: Yes — pdfmux is open source under the MIT license and free to use.
What platforms does pdfmux run on?: pdfmux runs on the web, the command line, and API.
Is pdfmux still active?: The GitHub repository shows 46 commits in the last 90 days.
What projects are similar to pdfmux?: Similar projects tracked by PulseGate include Cliprise, chi-ai, and Ask AIs Anything.Cliprise chi-ai Ask AIs Anything
Who makes pdfmux?: pdfmux is developed by NameetP.
How long has pdfmux been around?: pdfmux first shipped in 2026.

At a glance

Platforms: Cli · Web
Languages: English
Open source: Yes · ★ 77
License: MIT
First seen: 27 Jul 2026
Built for: AI developers building RAG applications
Model: Open source
Solves: Unreliable PDF parsing that silently drops or corrupts content when building RAG systems from documents.

Registered as

GitHub: NameetP/pdfmux
PyPI: pdfmux

Developer

NameetP

Small team

GitHub

Open source

View on GitHub

Stars: 77
Forks: 12
Open issues: 11
Last commit: 27 Jul 2026
Commits 90d: 46
Contributors: 5
Authorship: Small team
Default branch: main
Latest release: v1.8.4 · 27 Jul 2026

Live coverage

Identity confidence: Low · 64
Indexed: 27 Jul 2026
Lifecycle: Alive
First seen: Jul 2026
Last seen: 27 Jul 2026

Identity audit (13)

Slug: pdfmux-pypi-org
Lifecycle state recorded: 27 Jul 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 27 Jul 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 1 Aug 2026
Canonical URL: https://pdfmux.com

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