Google Launches AI Virtual Try-On for Clothes: Here’s How It Works

Google is bringing a futuristic twist to online shopping with the rollout of new AI-powered features aimed at enhancing how users in the US discover fashion, track prices, and find deals. Central to this upgrade is Doppl, a newly launched virtual fitting room app that allows users to try on clothes using a digital version of themselves. While Google has dabbled in virtual try-ons before, this marks its most personalized and user-centric approach to date, signalling a bold step forward in AI-driven retail experiences.

Google is transforming online shopping by introducing a virtual try-on feature that lets users see how clothing items would look on their own bodies. By tapping on a product listing or image result and uploading a full-length photo, shoppers can view a realistic preview of how the item fits their shape. The feature allows users to flip through different looks, save favorites, and even share outfit previews with friends before making a purchase — turning the shopping experience into something far more interactive and personal.

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This innovation has the potential to close the long-standing gap between online and in-store shopping by helping customers make more confident purchase decisions. If the visual previews continue to prove accurate, it could significantly reduce return rates and change how people shop online. It’s the most individualized and immersive fitting room experience Google has ever offered, powered entirely by AI.

In addition to virtual try-ons, Google is upgrading its price-tracking tools. US shoppers can now set alerts for specific products by choosing not just a price point, but also size and color preferences. The system will notify users when an item meeting their criteria drops to their desired price, saving them the hassle of constantly monitoring websites or apps. Google’s Shopping Graph scans deals across the web to find the best match, offering a smarter, less stressful way to track discounts.

Finally, Google is also enhancing AI-driven search queries for fashion items. Now, users can find clothing more accurately by typing conversational phrases like “affordable floral maxi dress” or “oversized hoodie under $30.” These updates, rolling out first in the US just in time for the peak shopping season, show how Google is combining personalization, convenience, and AI to redefine the e-commerce experience — with international availability expected in the near future.

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