Google has unveiled a new experimental mobile application, Doppl, that allows users to virtually try on clothing by generating AI-based visuals of how various outfits might look on their own bodies.
The application, available on both iOS and Android platforms in the United States, uses artificial intelligence to create a digital representation of the user.
Once a full-body image is uploaded, users can select photos or screenshots of outfits—ranging from thrift store finds to social media fashion inspiration—to overlay on their virtual selves.
Doppl goes a step further than static try-ons, offering AI-generated videos that showcase how the chosen outfits would appear in motion, providing a more realistic sense of fit and flow. Users are also able to save their favourite looks, maintain a personal archive of try-ons, and share them with friends or online.
In a blog post, Google noted that the app is an extension of its ongoing virtual try-on technology under Google Shopping, but Doppl represents the company’s first attempt to bring the feature into a dedicated standalone platform. Previously, Google’s virtual fashion tools allowed consumers to view clothing on a variety of model types, but not on custom avatars generated from personal photos.
“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 company stated, acknowledging the limitations of the emerging technology.
By separating Doppl from its shopping tools, Google appears to be targeting fashion-conscious users in a more exploratory, social space, while also gathering valuable data to refine future AI clothing applications.
There has been no official word from Google on whether Doppl will expand to markets beyond the United States.
