Clips AI - Open-Source Python Library for Automated Video Clipping and Aspect Ratio Resizing
Clips AI is an open-source Python library that automates the segmentation of longform videos into clips and the dynamic resizing of their aspect ratio to 9:16. It is specifically designed for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons.
Clips AI Product Information
What is Clips AI?
The library's clipping algorithm analyzes a video's transcript to identify and create clips, while the resizing algorithm dynamically reframes videos to focus on the current speaker, converting the video into the desired aspect ratio.
How to Use Clips AI?
To get started, users need to install Python dependencies and use a virtual environment to avoid dependency conflicts. Additionally, they must transcribe the video using the provided open-source wrapper and utilize the Hugging Face access token for resizing the video to the desired aspect ratio.
Core Features of Clips AI
- Automated video segmentation into clips
- Dynamic aspect ratio resizing
Use Cases of Clips AI
- Podcasts
- Interviews
- Speeches
- Sermons
FAQ about Clips AI
What type of videos is Clips AI designed for?
Clips AI is designed for audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons.
What are the key features of Clips AI?
Clips AI offers automated segmentation of longform videos into clips and dynamic resizing of their aspect ratio.
What dependencies and tools are required for using Clips AI?
Users need to install Python dependencies, use a virtual environment, transcribe the video using the provided open-source wrapper, and utilize the Hugging Face access token for resizing the video to the desired aspect ratio.
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