Google has unveiled Doppl, a new experimental app that leverages AI to help users visualize how different outfits might look on them. Available now in the U.S. on iOS and Android, Doppl allows users to virtually try on clothing using a personalized digital avatar.
To use the app, users upload a full-body photo of themselves. They can then select outfit images—whether snapped at a thrift store, borrowed from a friend, or captured from social media—and see how those clothes might appear on them. Doppl generates a virtual representation wearing the selected outfit and can even animate it into an AI-generated video, offering a more lifelike preview.
Users can save their favorite try-ons, browse past looks, and share visuals with others.
The app builds on Google Shopping’s recent virtual try-on tools, but as a standalone experience, Doppl aims to make virtual styling more accessible and engaging. Google also sees Doppl as an opportunity to gather insights into how such features might evolve in the future.
Previously, Google’s virtual try-on features displayed clothing on a variety of model body types. Doppl, however, shifts the focus to the individual by using the user’s own image.
“We hope Doppl helps you explore your style in new and exciting ways,” Google noted 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.”
As an experimental release, there’s no confirmation yet on whether or when Doppl will expand to other regions.
