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AutoClip is an open-source, AI-powered video processing system designed to automate the extraction of “highlight” segments from full-length videos — ideal for creators who want to generate bite-sized clips, compilations, or highlight reels without manually sifting through hours of footage. The system supports downloading videos from major platforms (e.g. YouTube, Bilibili), or accepting local uploads, and then applies AI analysis to identify segments worth clipping based on content (e.g. high energy moments, speech, or other heuristics). Once highlights are identified, AutoClip can automatically cut those segments and optionally assemble them into a compilation, thus greatly reducing manual video editing effort. It uses a modern web application stack with a front end (React + TypeScript) for user interaction and a back end that handles downloading, processing, clipping, and queue management, allowing real-time progress feedback and easy deployment, e.g. via Docker.
Features
- Supports downloading videos from platforms (e.g. YouTube, Bilibili) or accepting local video uploads for processing
- AI-driven highlight detection that analyzes video content to pick interesting or important segments
- Automatic clipping: extracts video segments based on AI-determined timestamps without manual editing
- Compilation generation: ability to assemble multiple clips into a highlight reel or composite video
- Web-based frontend + backend architecture enabling interactive use, progress tracking, and easy deployment (Docker supported)
- Open-source codebase enabling customization (e.g. tuning selection criteria, adding upload/output options, integrating into custom workflows)
Project Samples
