AutoClip is an open-source, full-stack video processing platform that uses AI to automatically extract highlights and generate short clips from long-form content.
AutoClip is an open-source, self-hosted AI video clipping and highlight generation platform designed to repurpose long-form media—such as podcasts, livestreams, and lectures from YouTube, Bilibili, or local files—into engaging short-form clips. Built on a FastAPI backend, Celery task queue, and React frontend, the application automates video ingestion via yt-dlp, speech transcription via Whisper, and content evaluation using LLMs like Qwen, Gemini, OpenAI, or local models via Ollama and LM Studio. It scores segments for viral potential, cuts video via FFmpeg, manages collections in a modern web interface, and provides developer-oriented integrations including a command-line interface and an MCP (Model Context Protocol) server for agents in Claude and Cursor.
While commercial SaaS platforms like OpusClip dominate AI highlight extraction behind costly subscription paywalls, AutoClip delivers a capable, privacy-first open-source alternative that runs entirely on local hardware.
- –**Local-first and cost-effective**: Supports offline Whisper transcription paired with local LLMs via Ollama and LM Studio, eliminating recurring API token and cloud processing costs.
- –**Agent and developer integration**: Native MCP server support and a dedicated CLI allow external AI coding agents like Claude and Cursor to automate video editing workflows programmatically.
- –**Production-ready asynchronous architecture**: Combines FastAPI, Celery, and Redis to reliably handle resource-intensive FFmpeg encoding and transcription jobs with real-time WebSocket feedback.
- –**Cross-platform video ingestion**: Direct support for both YouTube and Bilibili URLs as well as raw local video uploads caters directly to multi-platform content creators.
DISCOVERED
1h ago
2026-09-21
PUBLISHED
1h ago
2026-09-21
RELEVANCE