Google Launches Doppl — A New App That Lets You See Clothes on Yourself

Google Launches Doppl — A New App That Lets You See Clothes on Yourself

Google said on Thursday that it is launching a new experimental software called Doppl that uses artificial intelligence (AI) to show you how various clothes would seem on you. In the US, the app is accessible on both iOS and Android.

With Doppl, you can virtually try on clothes on an online version of yourself. You must first upload a full-body photo of yourself in order for the app to function. From there, you can virtually try on several clothes by using pictures or screenshots of them. These pictures could be a screenshot of an outfit you see while browsing social media, or they could be a picture of an outfit you see on a friend or at a thrift store.

Doppl will create a picture of a virtual representation of you wearing the clothing when you choose one to envision. In order to give you a better idea of how the outfit might appear on you in person, Doppl can also turn these still photos into AI-generated films.

You can peruse all of your past virtual try-ons and save your favorite looks. Additionally, you can share how you look with others.

According to the tech giant, the new app expands on Google Shopping’s previously introduced virtual try-on feature. According to the firm, by introducing the feature in a standalone app, Google is making it more accessible and enabling users to experiment with their style in an entertaining and engaging manner. In order to support its next initiatives in the field, it might also assist Google in gathering more information on how apps like these might function.

Although Google has previously provided virtual try-on technology, its past capabilities were centered around displaying things on a variety of models’ bodies. You can try on clothing on an animated model of your own body with Doppl.

“We hope Doppl helps you explore your style in new and exciting ways,” Google said in a blog post. “As a Google Labs experiment, Doppl is in its early days and it might not always get things right. Fit, appearance and clothing details may not always be accurate.”

 

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