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    Home»AI»Google Rolls Out Personalized AI-Powered Virtual Try-On for Shopping
    AI

    Google Rolls Out Personalized AI-Powered Virtual Try-On for Shopping

    EchoCraft AIBy EchoCraft AIJuly 24, 2025No Comments4 Mins Read
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    Google is expanding its footprint in personalized online shopping with the official launch of its AI-powered virtual try-on feature, now available across Search, Google Shopping, and Google Images in the U.S.

    Highlights

    • Full-Body Virtual Try-On Launches: Google’s AI-powered try-on tool is now available across Search, Shopping, and Images in the U.S., letting users visualize clothes on their own photos.
    • AI Tailors to Your Body: Garments are rendered directly onto user-submitted full-body photos using generative AI and product data from Google’s Shopping Graph.
    • Realism Meets Social Sharing: Users can save and share their try-on images, with renderings based on fit, size, and material details for improved purchase confidence.
    • Doppl Tech Foundation: The tool builds on Doppl, an experimental AI fashion app from Google Labs that animates how clothes move on a user’s avatar.
    • Smart Price Alerts: New alert options let users filter by size, color, and price to receive more relevant updates on products they’re tracking.
    • Generative Style Tools Coming: A fall launch is planned for AI-powered outfit and home décor generators that deliver shoppable, style-matching results from simple text prompts.
    • User Privacy in Focus: Google promises strong data safeguards for uploaded photos, although concerns about transparency and long-term data use remain.

    The tool allows users to upload a full-body photo of themselves and visualize how clothing from the Shopping Graph would appear on their own body—rather than on a standard model. This launch follows two months of testing.

    Unlike earlier try-on options that displayed clothing on preset models or standard avatars, this new version uses generative AI to render garments directly onto each user’s body shape.

    This approach aims to enhance accuracy and context, addressing a common friction point in e-commerce: the challenge of imagining how a product will actually look on the buyer.

    The technology draws from Google’s vast Shopping Graph, which indexes more than 50 billion product listings, helping to create a data-rich and visually contextual shopping experience.

    A Personalized Fitting Room on Your Screen

    Using the feature is straightforward. When browsing clothing items, users can tap the “try it on” button, upload a full-length photo, and receive an instant visualization of the garment on their image.

    The interface offers a realistic rendering that users can save or share, adding a social layer to the shopping process. The virtual try-on’s realism is powered not just by advanced AI rendering but also by real-time product data, including size, material, and fit details.

    This personalized experience builds on the same core technology behind Doppl, an experimental AI fashion app recently released by Google through Google Labs.

    Doppl enables users to experiment further with their look by generating animated videos that show how garments move on their avatar—providing insight into how fabric behaves in motion.

    While Doppl is still in an experimental phase and has shown occasional glitches or mismatches in proportions, early feedback suggests it can meaningfully influence purchasing decisions by improving user confidence in fit and style.

    Enhanced Price Alerts for Smarter Shopping

    In addition to the try-on experience, Google has upgraded its price alert system. Shoppers can now fine-tune alerts by specifying their preferred size, color, and price range for tracked items.

    This level of customization helps eliminate irrelevant notifications and ensures users only receive updates that align with their shopping intent. The alerts are powered by Google’s Shopping Graph, leveraging its product catalog and price monitoring capabilities to keep users informed.

    Generative Styling Tools Coming Soon

    Looking ahead, Google plans to launch a generative AI styling tool in the fall. This upcoming feature will allow users to input prompts such as “a green flowy dress for a garden party” or “cozy bedroom design inspiration,” and receive complete outfits or room layouts based on vision-matching AI.

    The results will be linked to shoppable products, bridging inspiration and action in a single step. It reflects Google’s ongoing efforts to make AI not just functional but also creative—helping users shape and refine their personal aesthetic.

    Privacy Considerations

    Given the sensitive nature of uploading full-body photos, privacy remains a key focus. Google states that user images are handled with strong safeguards and clear usage boundaries.

    As with any AI-driven service involving personal imagery, transparency around data storage, processing, and security remains an important expectation for users.

    AI Apps Doppl Google Innovation Shopping Try-on
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