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Google Photos now adds Virtual Wardrobe and Manual Photo Stacks on Android
One builds a searchable closet, the other groups duplicates manually

- September 7, 2026
- Updated: September 8, 2026 at 3:47 PM

Google Photos is rolling out two new features on Android: Virtual Wardrobe and Manual Photo Stacks. One turns your photo library into a closet that more or less builds itself. The other gives you a lot more say over how similar photos get grouped.
Virtual Wardrobe looks through your Google Photos library, spots clothing items, and builds a searchable closet from what it finds. It can also suggest outfit pairings and generate preview images, which means you don’t have to upload every shirt, jacket, or pair of shoes yourself. The feature also fits neatly into Google’s broader push around shopping, visual search, and styling. That’s happening in a category some forecasts say could grow from roughly $1.8 billion in 2025 to $9.7 billion by 2034.
Manual Photo Stacks has already been on Google Photos for iPhone for almost a year, and now it’s coming to Android too. You pick several photos, tap Stack Photos, and group near-duplicate shots, burst sequences, or event pictures yourself when Google’s automatic stacking doesn’t quite nail it.
If Google Photos is something you use a lot, Manual Photo Stacks seems like the kind of feature you’ll actually use for regular cleanup. Virtual Wardrobe may have even more upside, simply because Google already has billions of photos sitting in its system to work with. Still, having Google analyze personal images that closely is going to make some people uneasy, and fairly so.
You can get both features in Google Photos on Android, though Virtual Wardrobe is only available right now to users in the US, Brazil, and India who are on select paid Google One plans. A wider rollout in the US is reportedly in progress, iPhone support is expected later, and even among eligible Google Photos users, the features won’t show up for everyone at the same time.
Manuel Bosque covers software at Softonic: desktop programs, productivity tools and the small utilities that solve one problem well. His approach is practical — what a program actually does, what it asks in return and who it is for — which is why he distrusts feature lists and prefers to test. He is part of the team that decides how software gets covered on the site, and works daily with AI tools applied to editorial production.
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