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New open-source tool Watch Skill enables local video indexing for LLMs

A developer has created an open-source project called Watch Skill to build a local-first video indexing pipeline for large language models (LLMs). This tool analyzes videos once to extract transcripts, OCR, scene boundaries, and representative frames, creating a searchable local index. The system uses a hybrid retrieval method combining full-text search and embeddings, scene detection, and timestamp-backed retrieval to allow LLMs to access video content without re-processing it. Watch Skill offers a CLI and REST API, enabling users to switch between different local models while keeping all data on their machine. AI

IMPACT Enables more efficient local processing of video data for AI applications, reducing reliance on cloud-based multimodal models.

RANK_REASON This is a user-created tool/project, not a release from a major AI lab or a significant industry event.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New open-source tool Watch Skill enables local video indexing for LLMs

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/Fearless-Role-2707 ·

    Built a local-first video indexing pipeline for LLMs (MCP + offline)

    <!-- SC_OFF --><div class="md"><p>I've been trying to keep as much of my AI workflow local as possible.</p> <p>One thing I couldn't find was a good way to work with videos without repeatedly sending them through a multimodal model.</p> <p>My use case is mostly screen recordings, …