Analysis updated 2026-05-18
Download a YouTube channel's latest videos and automatically split them into short clips
Look up a YouTube channel by name instead of hunting for its channel ID
Prepare short-form clips ready to manually upload to TikTok
| jeyxbt/tiktok-content-farm | 0-bingwu-0/live-interpreter | 0xkaz/llm-governance-dashboard | |
|---|---|---|---|
| Stars | 2 | 2 | 2 |
| Language | Python | Python | Python |
| Setup difficulty | moderate | moderate | hard |
| Complexity | 3/5 | 2/5 | 4/5 |
| Audience | general | general | ops devops |
Figures from each repo's GitHub metadata at analysis time.
Requires a YouTube Data API v3 key and FFmpeg installed on your system PATH.
TikTok Content Farm is a Python command-line tool that automates the pipeline of downloading YouTube videos and converting them into short clips ready to post on TikTok. The idea is to repurpose content from longer YouTube videos into the short-form format TikTok favors, without doing it manually. Running python main.py opens a menu where you can enter a YouTube channel ID directly, look up a channel by name so you don't have to find the ID yourself, or download the latest videos. The tool fetches up to 50 of the most recent videos from the target channel using the YouTube Data API v3, then automatically splits each downloaded video into clips of roughly 40 seconds each. Under the hood it uses moviepy and ffmpeg for video processing. Once the clips are ready, the suggested workflow is to transfer them to your phone via a service like Google Drive, then manually upload them to TikTok. The README recommends posting one video every 6, 8 hours and pairing uploads with relevant hashtags and trending sounds. Auto-posting to TikTok directly from the tool is listed as a planned future feature but is not yet implemented. To use it you need Python 3.8 or later, an FFmpeg installation accessible in your system's PATH, and a YouTube Data API v3 key from Google Cloud Console. You configure the API key in a config.py file you create in the project root. The project is written in Python and released under the MIT license.
A Python CLI tool that downloads YouTube videos and automatically splits them into short clips for TikTok.
Mainly Python. The stack also includes Python, moviepy, ffmpeg.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.