ClipsAI
The facts below are what the maker publishes about ClipsAI, checked and dated. Our editors have not written about it yet.
The facts
Each one read from ClipsAI's own pages, with the date it was checked.
Where it runs
- Aspect ratios
- The library can segment a video into multiple clips and resize its aspect ratio from 16:9 to 9:16.checked 9 Oct 2026
- Intended videos
- It is designed for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons.checked 9 Oct 2026
- Platform
- The product is distributed as a Python library; its package metadata specifies Python 3 and Python 3.9 or later.checked 9 Oct 2026
What it does
- Clip detection
- Its clipping algorithm analyzes a video's transcript to identify clips.checked 9 Oct 2026
- Clip selection
- Its clipping algorithm analyzes a video's transcript to identify and create clips.checked 9 Oct 2026
- Demo
- The documentation links to a UI demo of clips generated with the library.checked 9 Oct 2026
- Install
- The documented installation uses pip install clipsai and also calls for WhisperX, libmagic, and ffmpeg.checked 9 Oct 2026
- Intended content
- It is designed for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons.checked 9 Oct 2026
- License
- The GitHub repository lists an MIT license.checked 9 Oct 2026
- Product
- Clips AI is an open-source Python library that automatically converts long-form video into clips.checked 9 Oct 2026
- Resize requirement
- Resizing requires a Hugging Face access token because it uses Pyannote for speaker diarization.checked 9 Oct 2026
- Segmentation method
- The clipping feature uses the TextTiling algorithm to segment long-form audio into coherent clips based on the transcript.checked 9 Oct 2026
- Speaker reframing
- Its resizing algorithm dynamically reframes video to focus on the current speaker.checked 9 Oct 2026
- Support
- The package metadata lists [email protected] as the author contact email.checked 9 Oct 2026
- Transcription
- The documentation says videos must first be transcribed, and shows transcription using WhisperX, an open-source wrapper on Whisper.checked 9 Oct 2026
- Video processing dependencies
- Installation instructions include libmagic and ffmpeg.checked 9 Oct 2026
- Video reframing
- Its resizing algorithm dynamically reframes videos to focus on the current speaker and convert videos to different aspect ratios, including 16:9 to 9:16.checked 9 Oct 2026
- What it does
- Clips AI is an open-source Python library that automatically converts longform video into clips.checked 9 Oct 2026
The company
- Maker
- The documentation footer identifies the maker as Clips AI, Inc.checked 9 Oct 2026
Money
- Pyannote cost
- The documentation states that using Pyannote will not incur a charge.checked 9 Oct 2026
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