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The Google Photos wardrobe feature is rolling out this summer, first to Android and then iOS.
Google Photos’ wardrobe feature uses AI to scan photos in a user’s camera roll to create a digital closet based on clothing pieces the user has worn in the past. The resulting collection can be filtered by category, such as “jewelry” or “tops,” to help users find specific items.
Google also appears to be borrowing the concept of digital mood boards. Instead of pulling items from a physical closet and trying on multiple outfits, users can use the wardrobe feature to mix and match clothing into outfit ideas. These ideas can then be saved to shareable mood boards.
Mood boards can be organized by categories or occasions, such as “wedding guest” or “work outfits.”
The wardrobe feature includes a “try on” option intended to save time getting dressed. Users can select items from their saved collection and click “Try it on” to preview how clothing might look.
Google notes that the AI does not truly know clothing sizes or how garments are cut, so the virtual fit is described as a rough approximation.
Last year, Google released an AI-powered try-on feature in Search. That earlier feature was limited to clothing users were shopping for rather than items they already owned. Google said it would not use images uploaded for the try-on feature for AI training, would not use them for other Google services, and would not sell them to third parties.
CNET’s Abrar Al-Heeti tested the Search try-on feature and found it could generate bare arms to show off a sleeveless dress.
A similar function exists on Samsung Galaxy S26 and Google Pixel phones under the name “Find the Look,” which adds try-on capability to Circle to Search. According to the report, users can take a screenshot or photo and get an idea of what they might look like wearing the selected clothing.
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