Enables search across videos you've watched via transcripts, on-screen text, and frames, citing exact timestamps. Point it at videos, channels, or playlists; it indexes everything locally and answers queries with deep links to the exact second.
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 AI assistants to extract educational content from YouTube videos by fetching timestamped transcripts and visually meaningful frames, returning them as base64 JPEGs for analysis.
Transforms YouTube into a queryable knowledge source with search, video details, transcript analysis, and AI-powered tools for summaries, learning paths, and knowledge graphs. Features quota-aware API access with caching and optional OpenAI/Anthropic integration for advanced content analysis.
Builds a searchable knowledge base from YouTube video transcripts with hybrid semantic and keyword search. Allows LLM assistants to search, organize, and retrieve timestamped information from videos you've watched.
Retrieves transcripts from YouTube videos with support for multiple languages, timestamp control, and language detection. Enables video content analysis, summarization, and quote extraction without manually downloading or watching videos.
