Available today (06.27.25) in the U.S. on both iOS and Android, the new app aims to blend convenience, fun, and practicality into the online shopping experience.

Users begin by uploading a full-body photo of themselves. They can then add an image or screenshot of any outfit - whether it’s from social media, a thrift store find, or a search result. Doppl applies generative AI to produce realistic images and short video renderings of the user wearing the outfit, showcasing how the clothes might fit and move.

In its blog announcement, Google said: “With Doppl, you can try out any look, so if you see an outfit you like from a friend, at a local thrift shop, or featured on social media, you can upload a photo of it into Doppl and imagine how it might look on you.” 

The company also offered a word of caution: “Fit, appearance and clothing details may not always be accurate.” 

Though the app offers a novel way to visualise style, early user reports note a few quirks in its execution.

The Verge has mentioned it occasionally misplaces pants or socks, and may distort body proportions, especially with mirror selfies.

Doppl builds on Google’s previous virtual try-on tool introduced in May, which allowed shoppers to preview clothing on standard models.

The new app enhances that capability by letting users try clothes on a virtual version of themselves, with animation capabilities to show movement .

Google hopes Doppl will help reduce online returns by giving shoppers a more realistic preview.

Doppl is currently limited to the U.S. under Google Labs. As an experimental offering, Google is inviting user feedback to refine the app, especially its fit accuracy and video rendering.

There’s no announced timeline yet for global release.