In a fresh move from Google Labs, the company has released Doppl, an experimental virtual styling app offering users a way to “try on” outfits virtually. Now available in the U.S. on iOS and Android, Doppl allows users to upload a full-body photo or use an AI avatar and overlay clothing images—from thrift finds to social media screenshots—onto their digital selves
Key Features & Workflow
- Effortless Outfit Overlay: Upload any outfit image and the app uses AI to map it onto your body shape .
- Animated Preview: Doppl can generate short AI-powered videos showing the chosen outfit in motion, helping users assess fit and movement realistically.
- Save & Share: Your favorite looks can be saved in-app and shared with friends or posted on social media
Experimental But Practical
- Built on Google Shopping Tech: Doppl extends virtual try-on tools previously integrated into Google Shopping, now repackaged as a standalone, interactive app.
- Early Access Only: The app is currently available to U.S. users over 18 with Google accounts. Google highlights that image accuracy and body fit may vary, and feedback is encouraged.
- Known Limitations: Technical issues—like occasional glitches in animation, texture mismatches, or floating avatars—are still common. Google says it’s a work in progress
What It Means for Retail & AI
Doppl illustrates how generative AI is reshaping shopping experiences—moving from static images on modelled bodies to personalized, animated previews. By reducing uncertainty, such tech could lower return rates and make e‑commerce more engaging. In the longer term, Google may embed Doppl’s look recognition or calendar-based styling into broader services.
Doppl marks a significant step in Google’s AI fashion journey—a fun, zip-through-your-wardrobe app that lets users experiment risk-free. Despite some visual hiccups, it offers a meaningful peek into AI’s potential to personalize style. The next steps? Improving realism, expanding globally, and integrating commerce features.