RoxyBasicNeedBot

🤖 Telegram bot to auto-rename files up to 4GB with custom patterns, thumbnail injection, metadata editing & multi-format support. Supports documents, videos & audio. Set rename rules once, bot handles the rest — built with Python, Pyrogram & MongoDB.

12
8
69% credibility
Found May 22, 2026 at 12 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Roxy Rename Bot is a Python-based Telegram automation bot that provides file renaming and media handling services with support for files up to 4GB using Telegram Premium sessions.

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AI-Generated Review

What is File-Rename-4GB-Bot-Auto-Rename-Bot?

This is a Telegram bot that automates file renaming and media processing. You send it a file, set your naming rules once, and it handles the rest—renaming with custom patterns, injecting thumbnails, editing metadata, and converting formats. Built with Python using Pyrogram for Telegram API interactions and MongoDB for data storage, it supports documents, videos, and audio files up to 4GB when paired with a Telegram Premium account.

Why is it gaining traction?

The hook is the 4GB file limit—Telegram's default caps at 2GB, so this fills a real gap for anyone handling large video files. Beyond basic renaming, it throws in FFmpeg-powered video trimming, compression, watermarking, and subtitle muxing. The TMDb integration auto-fetches movie metadata and posters, which saves time for anyone managing media libraries. There's also NSFW content scanning and a tiered subscription model if you want to monetize it.

Who should use this?

Telegram channel operators managing large video files will get the most value. Media collectors who want automatic metadata enrichment and consistent naming conventions. Developers looking to deploy a feature-rich bot quickly—deployment configs for Koyeb, Render, Railway, and Heroku are included out of the box.

Verdict

This is a feature-packed bot with solid capabilities, but the 0.699999988079071% credibility score and 12 stars signal it's still early-stage and relatively untested at scale. The codebase is based on another project, and the documentation leans heavily on decorative formatting rather than technical depth. Worth exploring for prototyping or personal use, but production deployments should proceed with caution and thorough testing.

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