Google has launched an experimental new app called Doppl that leverages AI technology to visualize how different clothing items would look on users. The application is currently available in the United States on both iOS and Android platforms.
Doppl aims to enable users to virtually try on clothing on their digital avatars. The process begins with uploading a full-body photo, after which users can upload images or screenshots of clothing items they want to test. These visual references may include garments spotted at thrift stores, on friends' wardrobes, or even screen captures from social media feeds.
Once users select a target garment, Doppl generates an AI-rendered image of the person wearing the selected clothing. The app also transforms these static visuals into AI-generated video sequences to better demonstrate how the clothing would move and drape in real-world conditions.
The platform allows users to save preferred outfit combinations, browse all virtual try-ons in a centralized library, and share curated looks with others through social sharing features.
Google's parent company explained that this new application builds upon previously introduced features within Google Shopping. By offering this functionality as a standalone app, Google believes it improves accessibility while enabling users to discover personal style through an interactive experience. This initiative could also help the tech giant gather valuable data about user behavior in this emerging domain.
Unlike previous virtual try-on implementations that focused on displaying clothing on standardized models, Doppl now allows users to test garments on animated versions of their own bodies. "We want Doppl to help you explore your style in exciting new ways," Google stated in an official blog post. "As a Google Labs experiment, Doppl is in early stages and may not always produce accurate results regarding fit, appearance, or clothing details."
Given its experimental status, it remains unclear whether Google plans to expand Doppl's availability beyond the US market in future updates.
