Let AI agents watch videos: local transcripts, speaker labels, scenes, chapters and exact-moment search from any video URL or file. Fully local, no API keys.
Enables coding agents to watch and analyze videos by extracting scene-aware frames, transcribing speech, and generating shot timelines, all constrained by a token budget to fit LLM context limits.
Enables AI assistants to watch YouTube videos by extracting frames at scene changes and visual references, pairing each frame with the exact words spoken at that timestamp. Provides dense frame-transcript interleaving for any model.
Enables agents to analyze long videos by downloading them, extracting transcripts and storyboards, and zooming into specific moments with high-resolution frames and OCR.
Video player for humans and AI. GUI + CLI + a built-in MCP server (39 tools) to drive playback, clip, transcribe, and search your media library from Claude, Cursor, or any MCP client. Local Whisper subtitles. MIT, local-first.
Provides image and video analysis capabilities for LLMs, with local preprocessing (ffmpeg/OpenCV) and any OpenAI-compatible vision model for understanding and Q&A.