yueying
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- AlicenseNot gradedqualityCmaintenanceEnables AI agents to download, convert, and visually analyze videos by providing timestamped frames and locally transcribed speech, all without API keys.MIT
- AlicenseNot gradedqualityBmaintenanceEnables LLM agents to process local videos into timestamped, citable text documents and then query them through tools for listing videos, retrieving transcripts, and fetching specific segments, all fully offline.MIT
- AlicenseNot gradedqualityAmaintenanceProvides local, offline transcription, keyframe extraction, OCR, and pre-publish review of audio, video, and image files, enabling AI agents to see and hear media without cloud or API keys.Apache 2.0
- AlicenseNot gradedqualityAmaintenanceEnables AI clients to watch local video files or YouTube/Bilibili and other supported URLs, receiving timestamped transcripts, subtitles, searchable text and keyframe contact sheets. Runs fully offline with local speech recognition and bundled ffmpeg, so no API key or cloud upload is needed.8MIT
- AlicenseAqualityBmaintenanceLet 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.42AGPL 3.0
- AlicenseNot gradedqualityAmaintenanceLets any LLM agent actually watch videos: a watch_video tool takes a URL or local file and returns scene-aware keyframes fused with a timestamped transcript, processed 100% locally with per-source caching.926 PyPI2,139MIT
TDQS
Scored across 6 tools
Each tool has a clear primary purpose, but get_frames and get_frame_at have overlapping names and both can return individual frames, and get_transcript/search_transcript both access transcript content. The descriptions are detailed enough to resolve most ambiguity, so misselection is unlikely.
All tool names follow a consistent lowercase snake_case verb_noun pattern: list_videos, watch_video, get_transcript, search_transcript, get_frames, get_frame_at. The only slight variation is the prepositional suffix in get_frame_at, but it still reads as verb_object and maintains overall consistency.
Six tools is a well-scoped set for the video-analysis lifecycle: one ingestion tool, two transcript accessors, two frame accessors, and one listing utility. No tool feels redundant, and the count is appropriate for the server's purpose.
The tool surface covers the full workflow of ingesting a video, listing processed items, reading/searching transcripts, and inspecting frames. Minor gaps exist, such as no delete/cancel operation and no dedicated metadata retrieval, but these do not block the core use cases.