Automates video scene change detection and shot boundary identification using PySceneDetect and FFmpeg.
The Video Scene Detector skill empowers AI agents to analyze video files and pinpoint natural transition points through advanced adaptive detection algorithms. By leveraging PySceneDetect, OpenCV, and FFmpeg, it identifies both fast cuts and gradual fades, allowing users to automatically segment long-form content into manageable clips or generate JSON-formatted timestamps for precise video editing and post-production workflows. It is particularly useful for creators and developers looking to automate the tedious process of manual cutting and content segmentation.
Key Features
01Automated video splitting into individual scene-based MP4 clips
02Seamless integration with FFmpeg and OpenCV for high-performance processing
03Detailed JSON output containing start times, end times, and durations
04Adaptive content-aware detection for fast cuts and gradual transitions
05Configurable sensitivity thresholds for precise control over scene granularity
060 GitHub stars
Use Cases
01Segmenting long webinars or tutorials into distinct topic-based chapters
02Generating natural cut points for video editing and highlights scanning
03Automating the breakdown of raw footage for social media content creation
