telegram-search logo
telegram-search
★ 4.1k
vs
all2md logo
all2md
★ 34

telegram-search vs all2md

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.; all2md: all2md is a universal Python library for converting over 40 document formats, including PDFs and Office files, into clean Markdown and back again. It features an AST-based architecture, a powerful CLI, and native integration for AI assistants and LLM workflows.

01

TL;DR

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

Efficiently finding specific messages in extensive Telegram chat histories.

all2md logo
all2mdData Processing · ★ 34

Embed document conversion in Python applications, documentation systems, or CMS.

02

Side-by-Side Comparison

Field
telegram-search logotelegram-search
all2md logoall2md
Category
Data Processing
Data Processing
Stars
★ 4.1k
★ 34
License
AGPL-3.0
MIT
Install Command
docker compose -f docker-compose.yml up -d
pip install "all2md[all]"
Updated
1w ago
3d ago
Open Source
Yes
Yes
Tags
Telegram, Vector Search, AI
Document Conversion, Markdown, Python Library
03

Features

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.
all2md logoall2md
01Comprehensive Format Support across dozens of document and code types.
02Bidirectional conversion between Markdown and rich formats like DOCX, PDF, HTML.
03AST-based pipeline for consistent parsing, transformation, and rendering.
04Native AI integration with MCP server for assistants and RAG-ready document chunking.
05Powerful CLI with advanced features and a clean Python API for application embedding.
04

Use Cases

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.
all2md logoall2md
↳Embed document conversion in Python applications, documentation systems, or CMS.
↳Ingest documents for LLM processing and convert LLM outputs back to rich formats.
↳Automate batch processing, scripting, and CI/CD integration for document conversions.
↳Extract structured data from documents (PDFs, spreadsheets) for data analysis and ML pipelines.
05

Best For

telegram-search logotelegram-search
Trending
all2md logoall2md
—
FAQ

FAQ

What is the difference between telegram-search and all2md?
Both telegram-search and all2md are in the Data Processing category. telegram-search has 4.1k stars, while all2md has 34 stars.
Which is better, telegram-search or all2md?
The best choice depends on your use case. Choose telegram-search if Efficiently finding specific messages in extensive Telegram chat histories., and all2md if Embed document conversion in Python applications, documentation systems, or CMS..
Is telegram-search free or open source?
Yes, telegram-search is open source on GitHub (AGPL-3.0).
Is all2md free or open source?
Yes, all2md is open source on GitHub (MIT).
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