Clips AI - Open-source Python library for automatic video clip creation and resizing

Clips AI Open-source Python library for automatic video clip creation and resizing

What is Clips AI?

Clips AI is an innovative open-source Python library designed to streamline video content processing. The tool specializes in automatically converting longform videos into smaller, digestible clips while offering sophisticated aspect ratio conversion capabilities.

At its core, Clips AI utilizes advanced audio analysis and transcription technology through WhisperX integration for precise clip segmentation. The tool features a dynamic resizing algorithm that intelligently reframes videos to focus on active speakers, making it particularly effective for content such as podcasts, interviews, speeches, and sermons.

Features

Automatic Video Segmentation: Creates clips based on transcript analysis
Aspect Ratio Conversion: Transforms videos from 16:9 to 9:16 format
Speaker-Focused Reframing: Dynamically adjusts frame to focus on current speaker
WhisperX Integration: Provides accurate transcription with word-level timing
Python-Based Implementation: Easy integration with existing Python workflows

Use Cases

Converting long podcast episodes into short clips
Reformatting interview videos for social media platforms
Creating highlights from speeches and presentations
Generating sermon excerpts
Repurposing widescreen content for vertical video platforms

FAQs

What type of videos work best with Clips AI?

Clips AI works best with audio-centric, narrative-based videos such as podcasts, interviews, speeches, and sermons.
What are the prerequisites for using Clips AI?

Users need Python installed, along with dependencies including WhisperX, libmagic, and ffmpeg. A Hugging Face access token is required for video resizing features.