Clips AI
Open-source Python library that turns long videos into clips and reframes them to 9:16.
- SI Score
- 70/100
- Pricing
- Open Source
- Free plan
- Not confirmed
- Sign-up required
- Not confirmed
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What it does
Clips AI is an open-source Python library that automatically converts longform video into clips. It analyzes a video's transcript to find clips and can resize the video from 16:9 to 9:16. It is designed for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons.
Clips AI is a code-first library for developers who want to add clip finding and vertical reframing to their own pipeline. You install it with pip, then transcribe a video using WhisperX, which detects start and stop times for each word. A ClipFinder returns clips with start and end times. For resizing, the library uses Pyannote for speaker diarization and needs a Hugging Face access token. The documentation states you will not be charged for using Pyannote. The tool is aimed at audio-centric, narrative videos such as podcasts, interviews, speeches, and sermons, not any video type. It is a library, not a ready-made app, so you need Python setup plus libmagic and ffmpeg. The homepage does not state whether an account is required, whether an API is offered, or which platforms are supported.
- Open-source Python library with code examples
- Finds clips from a video transcript
- Reframes video to 9:16 around the current speaker
- Requires Python setup plus libmagic and ffmpeg
- Resizing needs a Hugging Face access token for Pyannote
- Designed for audio-centric, narrative videos