Excire Foto 2027: setup and AI photo search tutorial

Anthony Morganti introduces Excire Foto 2027 as a digital asset manager and demonstrates its search tools on a library of 94,340 images across several drives. He explains where a separate organizer might help photographers with multiple Lightroom catalogs or editors that lack library management.

The setup walkthrough covers adding folders, including subfolders, analyzing photos and creating previews. According to Morganti, the analysis identifies image content and stores generated keywords in Excire's database without writing them to the original RAW files. Initial analysis of his large library took considerable time; he suggests running it overnight.

Search examples include elephants, gorillas and the words "New York" inside photos. Morganti also demonstrates saved searches, keyword exclusions, dominant-color filters, face searches and finding similar images. Search strictness affects the results: tighter matching can miss relevant photos, while looser matching can include similar-looking people. GPS searches require coordinates in the image files. He opens the duplicate-search options but does not run that search.

For viewers interested in local AI, Morganti says these searches run offline on the computer. He contrasts this with Lightroom's server-based content search. The tutorial ends with the Open With menu for sending photos to installed editors; the full editing round trip is left for another video.