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.
Converts video into timestamped contact sheets, enabling AI agents to navigate and retrieve visual evidence from specific timecodes rather than watching entire clips.
Extracts ffprobe metadata, subtitles, scenes, and timelines from video files without frame-by-frame LLM vision, providing evidence-first reading for AI agents.
Enables AI coding agents to capture screen and voice recordings, extract timestamped frames, and receive structured Markdown reports with context for bug fixing and UI feedback.
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.
