Clips AI
Automatically repurpose long videos into short clips
Target Audience
- Developer-content creators
- Podcast production teams
- Technical video editors
Overview
Clips AI is an open-source Python library that helps developers transform long videos like podcasts and interviews into social-ready clips. It uses AI to analyze video transcripts for key moments and automatically reframes content for different platforms. Saves hours of manual editing by programmatically handling clipping and aspect ratio adjustments.
Key Features
Automated Clipping
Segment long videos using transcript analysis
Dynamic Resizing
Convert 16:9 videos to vertical 9:16 format
Speaker Focus
Auto-track active speakers during resizing
Open-Source
Customizable codebase for developers
Transcript Integration
Uses WhisperX for accurate word-level timing
Use Cases
Repurpose podcast episodes into clips
Create vertical videos for social media
Convert sermons into shareable highlights
Automate video processing pipelines
Pros & Cons
Pros
- Open-source and customizable for developers
- Automates tedious video editing tasks
- Maintains speaker focus during aspect ratio changes
- Integrates with popular AI transcription tools
Cons
- Requires technical setup and coding knowledge
- Dependent on third-party APIs (Hugging Face)
- Best for narrative content with clear audio
Frequently Asked Questions
Do I need a Hugging Face token?
Yes, required for speaker diarization using Pyannote (free for non-commercial use)
What video formats work best?
Designed for narrative content like podcasts and interviews with clear audio
How does clipping work?
Analyzes video transcripts to identify logical break points between topics
Reviews for Clips AI
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