Learn

Get more from the footage you already have.

How video search works, how to find and verify material, and how to bring a library into an assistant’s context.

  1. AI video search: how to search videos by what is in them

    How AI video search finds moments by scene, speech and on-screen text instead of filenames, what it can and cannot tell you, and how to judge a result.

  2. How to find B-roll in a large footage library

    Find the right B-roll across shoots and drives: folder habits that scale, why logging breaks down, and how describing a shot with AI search changes the job.

  3. How to search interview recordings and verify quotes

    Find what an interviewee said across hours of recordings and check every quote in context before you publish it, using transcripts, timecodes and cited answers.

  4. MCP for video libraries: connecting AI assistants to your footage

    What the Model Context Protocol is, how an MCP server gives an AI assistant access to a video library, and the permission questions to ask first.

  5. How to organize a large video library on a Mac

    Keep a growing video library usable across a Mac and external drives: folder conventions, drive habits, duplicates and search without moving originals.

Start with the footage you already have.

CutroomOS runs on your Mac and works with the folders where your videos already live.

Read the FAQ