Google has introduced a new experimental app called Doppl, designed to let users virtually try on clothing using artificial intelligence. Available on both iOS and Android in the U.S., the app aims to help people explore their personal style in an interactive and playful way.
To get started, users upload a full-body photo of themselves. They can then select images of outfits whether from thrift store snapshots, social media screenshots, or photos of friends and virtually try them on. Doppl uses AI to generate an image of the user wearing the selected outfit, and can even animate these static images into short videos to simulate how the clothing might move in real life.
The app allows users to save favorite looks, view a gallery of past try-ons, and easily share their outfits with others.
This new tool builds upon Google Shopping's previous virtual try-on capabilities, which showcased clothing on a range of model body types. With Doppl, however, users can now visualize apparel on a virtual model of themselves, offering a more personalized experience.
Google notes that Doppl is an early-stage experiment under Google Labs, meaning the results may not always be perfect. Fit, style, and fabric detail accuracy may vary.
Still, by launching Doppl as a standalone app, Google aims to make the virtual fashion experience more accessible and to gather insights on how users interact with this kind of technology.
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