Google Unveils AI-Powered Virtual Try-On App

Doppl: Google's New AI Virtual Try-On App

The tech giant Google has launched Doppl, an experimental AI-powered app designed to let users virtually try on outfits [1][2]. Available for both iOS and Android users in the U.S., the app allows users to create a digital avatar by uploading a full-body photo [1][2]. Once the avatar is generated, users can apply outfit images from various sources to visualize how different styles and clothes might look on them [1][2]. According to the tech giant, Doppl builds on the virtual try-on capabilities recently introduced through Google Shopping [2]. By offering the feature in a dedicated, stand-alone app, Google aims to make it more accessible and user-friendly [2].

The company believes that Doppl provides a fun and interactive way for people to explore their style, blending fashion with the latest in AI technology [2]. While Google has offered virtual try-on technology before, earlier features focused on displaying clothing on a diverse range of models’ bodies [2]. With Doppl, the company is taking personalization a step further by letting users try clothes on an animated version of their own body [2]. In this article, we will explore some key features of Google's new AI virtual try-on app, Doppl, as well as the benefits of implementing virtual try-on technology for e-commerce.

Key Features

Doppl is a virtual try-on app that lets people see how different outfits might look on a digital version of themselves [2]. The app works by first asking users to upload a full-body photo, which it uses to generate a personalized digital model [2]. From there, users can then upload photos or screenshots of clothing—whether from a thrift store, a friend's outfit, or something spotted on social media—to visualize how these items would look on their bodies [2]. Once users select an outfit they want to visualize, the app will generate a virtual version of the user wearing the selected outfit, offering a personalized and convenient styling experience [2].

What makes Doppl stand out is its ability to turn those static try-on images into short, AI-generated videos that show how the outfit would move and look in real life [2]. It’s a simple way to get a better sense of fit and flow without ever stepping into a dressing room [2]. Users can save their favorite looks, browse through all of their virtual try-ons, and even share their look with others, making it easy to plan an outfit or just have fun experimenting with style [2].

Benefits of Virtual Try-On Technology for E-commerce

Virtual try-on technology enhances the online shopping experience by making it more interactive and personalized [3]. One of the major drawbacks of online shopping has been the inability to try products before buying [3]. This technology bridges this gap by allowing customers to see how clothes, makeup, eyewear, and accessories look on them before making purchases. This increases confidence in purchase decisions and boosts conversion rates [3]. High return rates pose a major hurdle for e-commerce businesses [3]. Virtual try-on technology also helps reduce costly return rates by giving customers a more accurate sense of fit, style, and appearance [3]. This leads to fewer size and style-related returns, streamlining logistics and supporting more sustainable retail practices [3].

Additionally, it fuels organic brand growth through social sharing, as customers enjoy posting their virtual try-ons online. It also provides valuable data on consumer behavior and product preferences, helping brands refine their offerings and marketing strategies [3]. By analyzing which products customers try on most often, identifying trending styles, and tracking user interactions with the technology, brands can make informed decisions that align with market trends and consumer demands. Virtual-try-on technology also contributes to more sustainable retail practices by reducing the need for physical trials and minimizing returns. This eco-friendly approach aligns with the growing consumer demand for environmentally responsible shopping experiences, enhancing the brand's reputation and appeal [3].

Conclusion

Google’s new AI-powered app, Doppl, allows users to create personalized digital avatars to experiment with outfits in a fun and interactive way. This innovation builds on previous virtual try-on features by offering a dedicated platform that makes the experience more accessible and tailored to each individual. Key features of Doppl include the ability to upload or screenshot any outfit and apply it to your digital avatar and AI-generated videos that realistically simulate fabric flow and fit. Virtual try-on technology also offers several benefits to brands and retailers, including valuable insights into customer preferences and trends. Brands can analyze the data to optimize their marketing approaches, develop product offerings that align with customer needs, and elevate overall customer experience. As consumers increasingly seek personalized and convenient shopping solutions, virtual try-on apps are becoming essential tools for brands looking to stay competitive and responsive to market demands.

Notes and References

1. Google Launches Doppl App for Ai-powered Outfit Try-ons. (2025, June 27) - Techinasia.com. https://www.techinasia.com/news/google-launches-doppl-app-aipowered-outfit-tryons
2. Malik, A. (2025, June 26). Google Launches Doppl, a New App That Lets You Visualize How an Outfit Might Look on You - TechCrunch. https://techcrunch.com/2025/06/26/google-launches-doppl-a-new-app-that-lets-you-visualize-how-an-outfit-might-look-on-you/
3. Virtual Try-On Technology: Enhancing Online Shopping Experience to Drive Sales. (n.d.) - Tuple Strategy. https://tuplestrategy.com/blog/virtual-try-on