Google’s new AI feature lets you virtually try on clothes
You can also save the look and share it with friends.

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Google is launching a new AI-powered feature that lets you virtually try on clothes using your own photo.
Announced on Thursday, the tool is now live in the US and works across Google Search, Google Shopping, and Google Images.
Here’s how it works: when you find a clothing item you like on Google, you’ll see a “try it on” button. Tapping it will prompt you to upload a full-body photo of yourself. (Via: TechCrunch)
Then, Google uses AI to show you what you might look like wearing that outfit. You can also save the look and share it with friends.
Previously, Google’s virtual try-on showed clothes on models with different body types, but now the experience is personalized, letting you see how something might look on your own body.
Just last month, it released an experimental app called Doppl, which also uses AI to help people try on clothes and explore their personal style.
Doppl even creates AI-generated videos so users can see how clothes might move or look in real life. Both Doppl and the new try-on feature use the same advanced AI technology.
Google is also improving price alerts for online shopping. Starting now, US users can set an alert not only for a product they want but also for their preferred size, color, and price.
So if you’re eyeing a pair of shoes but only want them if they drop below $60, Google will notify you when that happens.
Looking ahead, Google teased a new feature coming this fall that will give users style inspiration for outfits or room designs.
For example, you could search for “green flowy dress for a garden party” or “bedroom decor with earth tones,” and Google’s AI will show you visual ideas using real products from across the web.
All of these updates are powered by Google’s massive “Shopping Graph,” a database of over 50 billion products and prices from stores across the internet.
Do you think Google’s virtual try-on feature will actually help reduce online shopping returns? Or are there too many limitations with AI-generated fitting to make it truly useful? Tell us below in the comments, or reach us via our Twitter or Facebook.
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