Fast Video Cataloger 10.4 adds plain-language visual search

Oct. 2, 2026
By AI, Created 13:13 UTC, Oct 02, 2026, AGP -

VideoStorm has released Fast Video Cataloger 10.4 for Windows with a new visual search tool that finds shots from plain-language descriptions without prior tags or cloud upload. The update also expands Trained Tags and keeps search, indexing and footage local on the user's machine or server.

Why it matters: - Editors can now find shots by describing what they look like instead of relying on memory, tags or manual scrubbing. - The local-first design matters for teams that want footage and indexes to stay on their own machines. - The update could speed up search across large libraries where footage was never logged or was logged with different wording.

What happened: - VideoStorm released Fast Video Cataloger 10.4, the latest version of its Windows video cataloging software. - The main new feature is visual search. - An editor can type a plain-language description such as “drone shot over a city at night” and get matching scenes from the library. - The software searches the images themselves, not keywords. - Fast Video Cataloger 10.4 is available now for Windows 10 and 11. - Pricing starts at $9.90 per month, $97 per year, or $197 for a perpetual license. - A free 30-day trial is available at the product website.

The details: - Visual search works with the other filters in the Search window. - Searches can be limited to a folder or a project keyword. - The feature can surface footage that was never tagged. - Find similar scenes sorts the catalog by visual similarity after an editor finds one good shot. - The tool can pull up the rest of a sequence or every take from the same location. - The best matches appear first. - Each video gets a limited number of results by default, so one long shot does not fill the list. - The search index is built on the user's own computer while videos are indexed. - Older catalogs can be updated in a separate pass. - That pass shows how much of the library is covered and can be paused and resumed. - The footage and the index never leave the user's machines. - In a shared catalog, the search runs on the Fast Video Cataloger server. - The server also exposes the search to scripts through the REST API and to AI assistants through MCP. - Fast Video Cataloger works alongside editing tools such as Premiere Pro and DaVinci Resolve. - The software is built for search and organization, with visual browsing and structured metadata stored locally. - Version 10.4 also includes smaller fixes and improvements. - The full list appears in the version history in the user guide. - Version 10.4 improves Trained Tags, a feature introduced in version 10.3. - A trained tag is a custom AI keyword taught from a handful of example thumbnails. - A wrong match can be right-clicked and marked “Not this.” - The keyword is removed after that correction. - The Trained Tags window also flags examples that make a tag worse, including near-duplicates. - Fredrik Lönn, co-founder of VideoStorm, said visual search lets editors look for shots the way they remember them.

Between the lines: - VideoStorm is positioning Fast Video Cataloger as a search layer, not an editing replacement. - That approach targets the pain point of finding footage fast, especially in libraries with inconsistent or missing metadata. - The local processing and shared-server options suggest the product is aimed at both solo editors and larger teams with stricter data-control needs.

What's next: - Editors can start using visual search now on Windows 10 and 11. - Teams using shared catalogs can connect the feature to scripts through the REST API and to AI assistants through MCP. - VideoStorm says the release includes additional fixes and improvements beyond the headline features. - More version details are available in the user guide's version history.

The bottom line: - Fast Video Cataloger 10.4 turns a video library into a searchable visual archive, with plain-language search, local indexing and better correction tools for AI tagging.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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