AI Startup Technology Google’s New AI App Doppl Lets You Try On Outfits Virtually Aalam RohileJune 28, 2025028 views Summary Doppl, Google’s groundbreaking AI app, lets users virtually try on outfits by uploading a full-body photo and any outfit image, creating realistic images or videos. Launched via Google Labs on June 26, 2025, Doppl is redefining online shopping with personalized, interactive fashion experiences. Startup INIDAX, your go-to platform for tech and startup insights, dives into how Doppl works, its impact on e-commerce, and its potential to inspire India’s fashion tech scene. Learn why Doppl matters and how it could shape the future of virtual shopping. Table of Contents What Is Google’s Doppl AI App? Doppl is Google’s latest AI-powered experiment, launched on June 26, 2025, under Google Labs. Available on iOS and Android (Pixel devices only) in the U.S., it lets users visualize outfits on a digital version of themselves. You upload a full-body photo, pick an outfit image from anywhere—social media, online stores, or even a friend’s closet—and Doppl’s AI generates a realistic image or short video of you wearing it. It supports tops, bottoms, and dresses, offering a virtual fitting room experience. https://twitter.com/GoogleLabs/status/1938284886277951916 How Does Doppl’s Virtual Try-On Work? Doppl uses advanced AI to map your body shape and overlay outfits with lifelike accuracy. After uploading a photo, you can add an image of any outfit, like a jacket from Instagram or a dress from a thrift store. The AI processes both inputs to create a digital twin, showing how the outfit fits and moves. For example, it can generate a 5-second video of you “walking” in a dress, highlighting fabric flow. Sakshi Rambhia, Google Labs Product Manager, says, “Doppl makes style exploration fun and personal, though it’s still a work in progress.” What Sets Doppl Apart from Other AI Fashion Tools? Unlike Google Shopping’s virtual try-on, which uses diverse model images, Doppl personalizes the experience with your body. It’s a standalone app, not tied to search results, and lets you try outfits from any source, not just retail catalogs. You can save looks, revisit them, or share them with friends, adding a social twist. Startup INIDAX sees Doppl as a leap beyond apps like Amazon’s StyleSnap, which focus on product discovery rather than creative visualization. Key Insight: Doppl’s flexibility to use any outfit image makes it a unique tool for fashion enthusiasts and shoppers alike. Why Is Doppl a Big Deal for Shoppers? Online shopping can be a gamble—60% of consumers worry about fit, per a 2024 Shopify report. Doppl tackles this by letting you see outfits on yourself before buying. Startup INIDAX believes Doppl could transform e-commerce by boosting confidence and reducing friction for shoppers. Can Doppl Cut Down Online Shopping Returns? Returns cost retailers $816 billion globally in 2024, says the National Retail Federation. Doppl’s personalized try-ons could lower this by showing how clothes fit your body. A 2023 McKinsey study found 38% of shoppers avoid online purchases due to sizing doubts, which Doppl addresses by using your photo. Anita Balchandani, McKinsey retail expert, notes, “AI-driven personalization can lift conversion rates by 15–20%.” By reducing “fit anxiety,” Doppl could save shoppers time and retailers money. How Does Doppl Spark Fashion Creativity? Doppl isn’t just for buying—it’s for experimenting. You can try a vintage shirt from a flea market or a designer gown from Pinterest, seeing how it pairs with your style. The video feature adds realism, showing how clothes move. For instance, a user could test a lehenga’s drape before a wedding. With 65% of Gen Z valuing unique fashion, per Statista, Doppl’s playful approach resonates. Its sharing feature lets you get friends’ feedback, making shopping social. Key Insight: Doppl turns online shopping into a creative, interactive experience, appealing to style-conscious millennials and Gen Z. What Are Doppl’s Current Limitations? As a Google Labs experiment, Doppl has kinks. Fit and details, like intricate patterns or accessories, may not render perfectly. Sam Gupta, tech journalist, comments, “Doppl’s AI is cutting-edge but can stumble on complex designs.” It’s limited to U.S. users 18+ with a Google account, and Android access is Pixel-only. Only tops, bottoms, and dresses are supported, with no timeline for expanding to accessories or layered outfits. Key Insight: Doppl’s early-stage status means it’s not flawless, but user feedback will shape its evolution. How Can Startups Tap into Doppl’s AI Innovation? Doppl’s launch signals a shift toward AI-driven retail, especially in India, where e-commerce is expected to hit $200 billion by 2027, per Bain & Company. Startup INIDAX highlights how entrepreneurs can leverage this technology. What Opportunities Await Fashion Tech Startups? Doppl opens doors for startups to build AI tools tailored to local markets. An Indian startup could develop a Doppl-like app for sarees or kurtas, addressing unique draping needs. Startups could also use Doppl’s data-driven approach—collecting user style preferences—to create personalized marketing platforms. Rohan Paul, AI innovator, posted on X, “Doppl’s video generation tech is a blueprint for fashion tech disruption.” How Can Retailers Adopt Doppl-Like Features? Indian retailers like Myntra or Nykaa could integrate virtual try-on tech into their apps, enhancing user experience. Collaborating with AI developers to mimic Doppl’s features could reduce returns and boost sales. Google’s iterative approach with Doppl suggests retailers should test and refine similar tools with real users. Key Insight: Early adoption of AI try-ons could give startups and retailers a competitive edge in India’s fashion market. What’s the Future of Doppl and Virtual Fashion? Doppl hints at a future where AI makes physical fitting rooms obsolete. Google may expand it globally, including to India, where online fashion is booming. Future versions could handle complex garments or integrate with virtual wardrobes. India Today predicts, “Doppl could redefine how we shop for clothes online.” As AI improves, Doppl might power personalized styling algorithms or virtual fashion shows. Key Insight: Doppl is a stepping stone to an immersive, AI-driven fashion industry. Conclusion: Explore the Fashion Tech Wave with Startup INIDAX Doppl is more than a cool app—it’s a peek into the future of shopping. By blending AI with personalization, it empowers consumers and inspires entrepreneurs. Startup INIDAX invites you to stay ahead of tech trends. How will AI like Doppl change your shopping habits? Share your thoughts below, spread this article, or check out more startup stories on our platform! FAQs What is Google’s Doppl app?Doppl is an AI app that lets you virtually try on outfits by uploading a full-body photo and any outfit image, creating images or videos. How does Doppl’s AI differ from other virtual try-on tools?Doppl uses your own photo for personalized try-ons and supports outfit images from any source, unlike model-based tools. Is Doppl available in India?No, Doppl is U.S.-only for now, requiring a Google account and available on iOS or Pixel devices for Android users 18+. Can Doppl show how outfits move?Yes, Doppl’s AI generates short videos to show how clothes look in motion, adding realism to the try-on experience. How accurate is Doppl’s virtual try-on?As an experimental app, Doppl may have minor inaccuracies in fit or details, but Google is improving it with user feedback.