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In the past couple of months, Google has added a plethora of features to its Google Photos app, including new editing tools, AI enhancements, and more.
Now, the tech giant has added a new AI-powered wardrobe feature that turns your existing photo library into a personal style guide. The feature uses AI to scan your Google Photos library and automatically builds a wardrobe collection from the clothes you wear in your photos. That means you will have your entire clothing collection as a digital wardrobe. What can you do with it?
Once your wardrobe is catalogued, you can filter your clothes by category. Want to see only your tops, or just your jewelry? You can do that. You might even rediscover items you forgot you owned and actually liked.
Beyond browsing, the feature lets you mix and match items to create outfits and save them to a digital moodboard. You can create separate moodboards for different occasions, like summer weddings, work outfits, or that holiday trip you have been planning for two years. Recommended Videos The most fun part is the virtual try-on feature.
Select individual pieces from your wardrobe, tap “Try it on,” and you will get a preview of how the outfit looks on you before you actually commit to wearing it. You can even share them with your friends. It is basically a digital fitting room. Since it lets you pick individual outfits and mix and match them, you can try a variety of combinations and decide on what to wear in minutes.
Is this actually useful? For anyone who has ever spent 20 minutes getting dressed only to change their mind three times, yes. The feature is particularly handy for vacation packing, where you can plan full outfits ahead of time instead of overpacking out of panic. This feels like the next evolution of Google’s “Try It On” tool, which allows you to try on dresses before purchasing.
Now, you can try your own outfits and see which combinations you like better. The new wardrobe feature in Google Photos will start rolling out this summer, starting with Android users first, with iOS support to follow. No specific date has been confirmed yet.
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