Google has launched a new experimental app called Doppl that uses artificial intelligence to let users see how different outfits would look on their bodies. Now available on iOS and Android in the United States, the app creates a virtual version of you based on a full-body photo. You can then upload photos or screenshots of clothes, whether from a friend, a shop window, or social media, and the app will overlay the outfit onto your digital self.
What makes Doppl unique is that it goes beyond just static images. The app can also generate short AI-powered videos, giving you a more lifelike sense of how an outfit might move and fit. This helps users visualise styles more realistically, making it easier to explore new looks before committing to a purchase or wardrobe change. Saved looks can be stored, browsed, and shared directly from the app, adding a social layer to the experience.
Doppl builds on Google Shopping’s existing virtual try-on tools, which previously showed outfits on a range of model body types. With this new app, however, the focus shifts to your own body, which personalises the experience in a way that Google believes is more useful and engaging. By launching Doppl as a standalone app, the company aims to make the technology more accessible while gaining insight into how people prefer to interact with virtual fashion tools.
Though the app is designed to be fun and interactive, it also reflects Google’s growing interest in combining AI and personal style. As an experiment under the Google Labs umbrella, Doppl is still being fine-tuned. Google cautions that the visual results may not always be perfect, especially when it comes to fit or fabric detail. Still, the app represents another step in making virtual try-on more personal and widely available.
It’s not yet known if or when Doppl will expand beyond the US. For now, it marks another example of how AI is being used to reimagine everyday experiences, such as choosing what to wear, and hints at how tech giants like Google are experimenting with new ways to engage users in the style space.
