Google Photos is getting a surprisingly fun upgrade, and the standout feature has nothing to do with simply organizing your camera roll. Google is turning Photos into a digital closet, letting you catalog the clothes you already own, build outfits, and—most interestingly—virtually try them on.
The new Wardrobe feature is now available to eligible Google Photos users on Android and iOS in the U.S., India, and Brazil. It uses AI to scan photos in your library and identify clothing you’ve worn, turning those pieces into a digital collection you can browse and organize.
And honestly, this might be Google’s best try-on feature yet.
Your Google Photos library is now your closet
Once Wardrobe is available, Google Photos can build a clothing collection from your existing photos. You can browse individual items and filter them into categories such as tops, bottoms and other clothing types. Google says the feature scans photos of you from the last four years when building the wardrobe.
The useful part is what happens next. You can select up to six items, combine them into an outfit and save the result. Then there’s a Try it on option that generates a virtual preview of the outfit on you.
That makes this considerably more interesting than the usual AI clothing demo where you upload a single picture and ask an image generator to slap a jacket onto yourself. Google Photos is actually building the feature around your existing wardrobe. You can pull out clothes you’ve forgotten about, mix and match them, and see how the combination looks before you even open the closet.
Google’s earlier announcement described the feature as a way to create a digital closet from clothing appearing in your photo library, including the ability to create outfits and virtually try them on.
There’s also a little bit of Clueless energy here. The concept of having a computer help choose outfits has been a running piece of pop-culture sci-fi for decades, and Google is now putting a version of it inside an app most people already use to store their photos.
Google Photos gets a nostalgia button, too
Wardrobe isn’t the only new addition. Google is also rolling out Moods, a collection of AI-powered visual styles that can give photos a more nostalgic appearance.
On Android, you can apply styles inspired by things like 35mm film and 2000s-era digital cameras. Rather than simply applying a basic filter, Google says Moods intelligently adapts the style to the image.
That could be particularly fun for older photos—or, ironically, perfectly ordinary modern phone photos that you want to make look like they came from a camera you probably couldn’t afford to use in 2004.
More AI tools are coming along for the ride
Google is also adding 15 new Remix templates for turning ordinary photos into things such as red-carpet scenes, birthday cards and photo-booth-style images. The updated Markup tool adds a redact pen for obscuring sensitive information, more precise thickness controls for drawing and additional fonts.
Meanwhile, Photos in Gemini Spark can use a single prompt to select, brighten and share the best photos from a particular set of memories. That feature is more restricted, with Google currently listing it for eligible Google AI Pro and Ultra subscribers in the U.S.
The Wardrobe rollout is much broader. Google says eligible Android and iOS users in the U.S., India and Brazil can now get the feature, although eligibility requirements still apply. Users need Face Groups enabled and must select which face belongs to them; Google also lists additional requirements around the size of the user’s photo library and Google AI subscriptions.
There’s something particularly neat about Google putting all of this inside Photos rather than launching another standalone AI fashion app. Your wardrobe is already hiding in your camera roll—you just probably never thought of your 4,000 random selfies, wedding photos and vacation pictures as a clothing database.
Now Google does.
And if the virtual try-on results are good enough, “I have nothing to wear” may have just become a problem Google Photos can at least attempt to solve.
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