Private image search using content descriptions

Find a similar shot, then check the details

Say an editor of company materials is looking for a photo of an empty hall with round tables. She types a description and gets several thumbnails. One shows rectangular tables, another the right layout but with people in the background. She opens the originals and chooses the photo that fits the need.

A search result is a candidate to look at. It does not confirm consent to publish or that the place shown is still current. It is worth keeping a link next to the photo to the information on where it came from and how it may be used. The person responsible for the materials decides whether the shot can be used in the planned channel.

Private photo search helps where tags are missing

Immich describes contextual image search with CLIP models, plus metadata filters. A user can search in their own words, without having typed the same words into the file description beforehand. It is an example of an available feature worth comparing with the needs of a company archive.

If the collection is small and well tagged, tags can give a more predictable result. When you search for a specific product number or event, recorded data often matters more than visual similarity. In the proposed app, a description of the look can be combined with a collection filter, so the employee does not browse the company's whole history.

The language of the queries matters too. The team should assess the search in the language it actually uses to describe photos. In the trial you can use questions about known material and check whether the right shot appears among the results. It is also worth reviewing misleading similarities in the results.

The archive stays in the team's care

The search needs a collection approved for processing. If the company requires its own environment, that covers the originals, the thumbnails and the data prepared for search. A model running locally does not, by itself, settle where the other copies are kept. Access to results should match which photos a user may view.

Also agree how new photos enter the collection and what happens after material is withdrawn. An employee should not pick again a photo the archive's owner has removed from the available set. These rules concern the archive's daily work, whatever model is used.

A ready tool or a separate view

If the asset management system you use already has a similar search and meets the company's requirements, configuring it may be enough. A separate app makes more sense when existing collections need joining, or when results have to be shown with the information needed to approve their use. Check the available options before ordering an integration.

Syntalith's proposed first step is one collection and the tasks of the people who actually choose photos. The archive's owner names the material and the rules of use, and the users compare the search with their current way of working. The result lets you set the preview, filters and collection handling you need, with no promise of accuracy for every description.

Describe a photo that was hard to find. We will go through your current archive and what the user should see next to a result. We price a private model after a free call about the task, the data and the hardware. An app that uses the model starts from €3,000 net (pricing).

What private photo search costs and when it pays back

Where to start

In the free process review we choose one task and 20 to 100 cases the team has already handled, and within 2 working days you get a written summary with a price. We roll out the local model as part of private LLMs, and the app around it as an AI app.