Clips AI is an open-source Python library that automatically segments long-form videos into clips by analyzing the video's transcript and identifying key moments. It also dynamically resizes videos to different aspect ratios, focusing on the current speaker, making it ideal for audio-centric content like podcasts and interviews.
Funding
Funding not disclosed
Founders
Product
Problem
Creating short, engaging video clips from long-form content is a time-consuming and manual process, requiring video editors to sift through hours of footage and reframe videos for different social media platforms. This process is especially challenging for audio-centric content like podcasts and interviews, where visual cues are less prominent.
Solution
Clips AI is an open-source Python library that automates the process of creating short-form video clips from long-form content. By analyzing the video's transcript, Clips AI identifies key moments and automatically segments the video into multiple clips. The library also dynamically resizes videos to different aspect ratios, focusing on the current speaker, making it suitable for platforms like TikTok and Instagram Reels. This allows content creators to repurpose their existing video assets quickly and efficiently.
Target Audience
Clips AI is designed for content creators, video editors, and social media managers who need to quickly and easily create short-form video clips from long-form content, particularly those working with audio-centric content like podcasts and interviews.
Features
- Automatic video segmentation based on transcript analysis using WhisperX
- Dynamic video resizing to various aspect ratios (e.g., 9:16) using Pyannote for speaker diarization
- Open-source Python library with a simple API for integration into existing workflows
- Customizable clipping parameters to control clip length and content
- Reframing algorithm that focuses on the current speaker during resizing
- Requires installation of Python dependencies, libmagic, and ffmpeg