
Google has introduced a new experimental app called Doppl, aimed at helping users visualize how outfits might look on them. Available on iOS and Android in the U.S., the app uses AI to generate virtual images and videos of a digital version of the user wearing various outfits.
To begin, users upload a full-body photo of themselves. Then, they can apply images of outfits—such as photos from thrift stores, social media screenshots, or even pictures of a friend’s look. Once an outfit is chosen, Doppl generates a realistic image of the user wearing it. Additionally, the app can convert static try-ons into AI-generated videos, providing a dynamic preview of how the clothing would appear in motion.
You can save favorite outfits, revisit previous try-ons, and even share results with others. This interactivity, combined with accessibility, is meant to enhance personal style exploration.
Expanding on Google Shopping’s Technology
While Google previously offered virtual try-on tools, they were limited to showing clothing on various models. Now, with Doppl, users get a more personal experience by seeing outfits directly on their own body model. Not only does this make outfit visualization more engaging, but it also increases the relevance of each try-on.
The company says this new app builds on existing Google Shopping features but takes the concept further. By releasing Doppl as a standalone app, Google aims to make virtual try-ons easier to access and more immersive. Furthermore, it allows users to experiment with style in a fun and engaging way.
According to Google, “We hope Doppl helps you explore your style in new and exciting ways. 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.”
The Future of Virtual Fashion Tech
Although Doppl is currently limited to U.S. users, its experimental nature suggests that Google is testing how well this tech could perform at scale. The app may also help the company gather valuable insights for future developments.
Because this is a Google Labs release, there’s no timeline for a broader rollout. Still, the combination of AI, personalization, and interactivity hints at significant potential in virtual fashion technology.