Google has launched a new experimental app called Doppl, that allows people to virtually try on clothes using a full-body photo and see how those clothes might look and move in a short video clip.
Available now for users in the United States on both iOS and Android, the app is designed to simulate the experience of trying on outfits without needing to physically wear them.
Users can upload a photo of themselves and pair it with a screenshot or image of any clothing item they like. Whether it is a product seen on Instagram, a brand’s website, or just an image saved from the internet, Doppl uses generative AI to map the clothing onto the user’s body and animate it.
Unlike many virtual try-on tools that produce static images, Doppl creates a video showing the clothing in motion. This animated preview helps users visualize how the fabric might flow or fit on their bodies in real life. Google says this level of realism could help shoppers make more confident decisions, particularly when browsing fashion items online.
While the idea is impressive, the app is still in its early stages and comes with some limitations. In some cases, the AI struggles with accuracy, such as placing pants incorrectly over shorts or rendering unrealistic proportions. Occasionally, socks are removed entirely and replaced by AI-generated feet. Despite these glitches, early testers have praised the app’s potential.
To address concerns around misuse, Doppl includes built-in restrictions. The app blocks attempts to upload suggestive or inappropriate clothing and prevents users from generating try-ons for public figures.
Doppl continues the work Google began with its AI try-on feature announced earlier this year at Google I O. That tool allowed people to see clothes on models of different body types through Google Search. Doppl expands on that concept by making it personal and mobile, letting anyone become the model.
Google has not yet confirmed any rollout plans beyond the U.S. but will likely expand its availability based on user feedback and technical improvements.
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