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pullmd
pullmd logo

pullmd

Active·★ 506·AGPL-3.0·Updated 2026-10-27
★ Trending

PullMD is a self-hosted service that converts various content types, including web pages, documents, images, audio, and YouTube videos, into clean, readable Markdown format. It supports integration with AI agents, offering a token-efficient output and multiple API endpoints.

pullmd sits in the Data Processing category, so it is usually better judged by workflow fit, deployment style, and team needs than by isolated features alone. Based on the available metadata, it leans most clearly toward Converts URLs, documents, images, audio, and YouTube videos to clean Markdown.. A representative use case is Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency.. The listed license is AGPL-3.0. GitHub stars are currently 492. Relevant tags include URL-to-Markdown, Self-hosted.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool.

#URL-to-Markdown#Self-hosted#AI Agent Tooling#Content Extraction#Document Conversion#Multimodal Processing#Web Scraping
$ Install
$ mkdir pullmd && cd pullmd && curl -O https://raw.githubusercontent.com/AeternaLabsHQ/pullmd/main/docker-compose.yml && docker compose up -d
↗ Visit site★ GitHub
01

Features

01Converts URLs, documents, images, audio, and YouTube videos to clean Markdown.
02Self-hosted with a PWA frontend, REST API, and MCP server for AI agent integration.
03Auto-detects and processes Reddit and Hacker News threads with full comment trees.
04Supports high-quality PDF OCR and media captioning/transcription via OpenAI-compatible models.
05Emits token-efficient Markdown body by default, with rich metadata in YAML frontmatter.
02

Why choose it

+Converts URLs, documents, images, audio, and YouTube videos to clean Markdown.
+Self-hosted with a PWA frontend, REST API, and MCP server for AI agent integration.
+Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency.
+Supports 5 platforms or runtime environments.
03

Trade-offs

!The final decision should still be made through side-by-side comparison with similar tools.
04

Compatibility

Docker
Deployment
Verified via docs
AI Agents
Integration
Verified via docs
Web Browsers
Frontend
Verified via docs
Python
Sidecars
Verified via docs
Node.js
Backend Runtime
Verified via docs
05

Quick start

1
$ mkdir pullmd
2
$ cd pullmd
3
$ curl -O https://raw.githubusercontent.com/AeternaLabsHQ/pullmd/main/docker-compose.yml
4
$ docker compose up -d
06

Use cases

↳Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency.
↳Creating dynamic content feeds (e.g., subreddit feeds) using stable share IDs that automatically refresh.
↳Building a personal or team-wide knowledge base by converting various online and local content into a unified Markdown format.
↳Integrating with large language models and chat agents (like Claude, ChatGPT) as a specialized tool for robust web and document fetching.
07

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On this page
01Features02Why choose it03Trade-offs04Compatibility05Quick start06Use cases07Alternatives
AeternaLabsHQ /
pullmd
↗

Self-hosted URL- and file-to-Markdown service for humans and AI agents - web pages, documents, images, audio, YouTube. PWA + REST + MCP + Claude Code skill, Reddit-aware, refreshable share links.

506AGPL-3.0
Last commit1d ago
StatusActive
CategoryData Processing
Links
Documentation↗Discussion↗Issues↗Releases↗
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