Excire Foto 2027: AI photo tagging and search tutorial

Excire Foto 2027 uses AI to add descriptive keywords to a photo catalog. James from the Excire team explains how to enable Analyze Photos when adding folders, then inspect the resulting tags in the AI and Keywords panel. Analysis adds time to import; he suggests leaving large batches overnight. He says the analysis runs locally, images do not go to the cloud, and initialization works offline.

The examples cover subjects such as birds and buildings, along with color and portrait attributes. Tags can be wrong, and the tutorial shows how to remove an unsuitable keyword and read its confidence score. Users can also type custom keywords, copy and paste tags across batches, or drag keywords between images.

For retrieval, James demonstrates the nested keyword hierarchy and Find by Keyword tool. Searches can combine AI tags, custom keywords, named people and colors. His example pairs the keyword egg with yellow. Search scope can cover the current view, selected folders or collections. Keyword search is separate from Excire's prompt search.

The metadata walkthrough explains how to hide unwanted keywords and their children without permanently deleting them. It also covers storing keywords and people's names with image files, choosing confirmed keywords or all keywords, and including metadata during export. A preference lets users store people tags as keywords.