Audio and video · Independent · 22 Oct 2026

NaufalRizqullah/opensource-clipping

🎬 Ultimate AI Auto-Clipper β€” Transform long-form videos & podcasts into viral shorts! Features smart face-tracking, kinetic karaoke subtitles, contextual B-roll, AI voice-overs, and auto-uploaders (YouTube/FB). Powered by Whisper, Gemini, MediaPipe, & Pyannote.

← Audio and video

In simple English

This tool takes a long video or podcast and cuts out the best parts for TikTok or YouTube Shorts. It finds the speakers' faces and keeps them in the center of the frame. It adds karaoke-style subtitles that light up word by word as they are spoken. It can also add background music and stock footage to make the clips more engaging. You need a free API key from Google and a computer with a good graphics card to run it.

What it is

A Python command-line program that automates video editing using artificial intelligence models like Faster-Whisper and Google Gemini. It downloads a video, transcribes the speech, picks the best moments, and exports vertical clips complete with captions and effects.

What it is good for

Content creators and solo builders who want to turn long interviews or podcasts into short promotional clips without spending hours cutting them by hand.

Stars178
LicenceMIT
LatestNo tagged releasechecked 22 Oct 2026
Last code change2026-09-26
Written inPython
Setup effort
3 / 5
Payoff
5 / 5
Good
  • Automatically tracks faces so speakers stay in frame on vertical screens.
  • Generates animated karaoke subtitles without manual editing.
  • Includes options to upload finished clips straight to YouTube and Facebook.
Watch for
  • Requires a strong NVIDIA graphics card for fast processing with local AI models.
  • Needs external API keys for Google Gemini and Pexels to work fully.
  • Setup involves installing FFmpeg and Python dependencies by hand.
Replaces

Editing short-form video highlights manually in desktop software like Premiere or CapCut.

Works well with

FFmpeg (a command-line tool for converting and processing video and audio files).

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Install
git clone https://github.com/NaufalRizqullah/opensource-clipping.git
cd opensource-clipping
pip install -r requirements.txt
cp .env.sample .env

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On Stack Radar: Marketing & Growth β€Ί Content Marketing β€Ί Content Repurposing.

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