pullmd logo
pullmd
★ 506
vs
telegram-search logo
telegram-search
★ 4.1k

pullmd vs telegram-search

pullmd: 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.; telegram-search: Telegram Search is a tool designed to address the challenges of searching Telegram chat histories, especially for Chinese content. It provides robust capabilities for backing up and precisely retrieving personal Telegram messages, leveraging powerful local tokenization and vector search for efficient information discovery.

01

TL;DR

pullmd logo
pullmdData Processing · ★ 506

Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency.

telegram-search logo
telegram-searchData Processing · ★ 4.1k

Efficiently finding specific messages in extensive Telegram chat histories.

02

Side-by-Side Comparison

Field
pullmd logopullmd
telegram-search logotelegram-search
Category
Data Processing
Data Processing
Stars
★ 506
★ 4.1k
License
AGPL-3.0
AGPL-3.0
Install Command
mkdir pullmd && cd pullmd && curl -O https://raw.githubusercontent.com/AeternaLabsHQ/pullmd/main/docker-compose.yml && docker compose up -d
docker compose -f docker-compose.yml up -d
Updated
1d ago
1w ago
Open Source
Yes
Yes
Tags
URL-to-Markdown, Self-hosted, AI Agent Tooling
Telegram, Vector Search, AI
03

Features

pullmd logopullmd
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.
telegram-search logotelegram-search
01Multi-database chat history export (PGlite, PostgreSQL compatible).
02Automatic media resource backup to MinIO object storage.
03Real-time synchronization for automatic retrieval and update of new messages.
04Intelligent multi-language tokenization for precise retrieval.
05Combined fuzzy matching, vector semantic search, and RAG AI Q&A.
04

Use Cases

pullmd logopullmd
↳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.
telegram-search logotelegram-search
↳Efficiently finding specific messages in extensive Telegram chat histories.
↳Searching and retrieving Chinese chat records that Telegram's native search cannot handle.
↳Utilizing AI for smart summaries of unread messages and interactive assistant dialogues.
05

Best For

pullmd logopullmd
Trending
telegram-search logotelegram-search
Trending
FAQ

FAQ

What is the difference between pullmd and telegram-search?
Both pullmd and telegram-search are in the Data Processing category. pullmd has 506 stars, while telegram-search has 4.1k stars.
Which is better, pullmd or telegram-search?
The best choice depends on your use case. Choose pullmd if Providing clean, distilled content from web pages, documents, and media to AI agents for better context understanding and token efficiency., and telegram-search if Efficiently finding specific messages in extensive Telegram chat histories..
Is pullmd free or open source?
Yes, pullmd is open source on GitHub (AGPL-3.0).
Is telegram-search free or open source?
Yes, telegram-search is open source on GitHub (AGPL-3.0).
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