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Alternatives to MultiMediaGrep

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    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables coding agents to ask focused questions about local screenshots, video, audio, and music and receive compact text reports on OCR, layout, timestamps, sounds, and music description. Media stays on the machine and raw files are never loaded into the agent's context, with support for cropping, interval sampling, and durable background jobs.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables an agent to process local video files and then read, search and inspect the results: timestamped transcripts, on-screen text and key frames as images. Everything runs locally, so an agent can answer questions like how to perform a task shown in a screencast or meeting recording.
      448 npm
      1
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI agents to inspect UI screen recordings as token-efficient image sheets with changed regions boxed, single-frame flicker flagged, and speech aligned to frames. Exposes watch_video and zoom_video tools so agents can pull dense keyframes across any time range or one sharp full-resolution frame, all processed locally.
      0
      MIT

    TDQS

    A4.5/5.0

    Scored across 5 tools

    Disambiguation4/5

    Each tool has a documented role: media_probe inspects metadata, media_overview builds the grid/transcript, media_zoom reads one frame, media_locate searches text for a timestamp/page, and video_subtitles dumps subtitle segments. The overlap is mild but real: video_subtitles and media_overview both return timestamped text, and the descriptions spend considerable effort telling the agent which one to prefer. That overlap is resolvable from the docs, so boundaries are mostly clear.

    Naming Consistency4/5

    Four of five tools use a clean media_<verb> pattern (media_probe, media_overview, media_zoom, media_locate). video_subtitles breaks the prefix and is also slightly misleading since it works on any media container, not just video. Otherwise consistent snake_case with predictable verbs.

    Tool Count5/5

    Five tools map cleanly onto a probe -> overview -> zoom/search/transcript inspection pipeline, and each earns its place against a distinct cost model (free metadata, cheap grids, expensive single frames). Nothing is redundant or missing at the count level; it is well within the 3-15 sweet spot.

    Completeness4/5

    The lifecycle is covered: inspect, overview, drill down, search, and read subtitles, with ASR/OCR availability surfaced by media_probe and consumed by the other tools. Minor gaps remain: there is no explicit OCR/document-text tool despite OCR being reported, and no way to discover or list local media files, so the agent must already know absolute paths. These are workable around but not fully closed.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues