Google has unveiled a groundbreaking AI feature that allows users to virtually try on clothing items using their own photos, marking a significant advancement in online shopping personalization. This feature is now available across Google’s platforms, including Search, Google Shopping, and product results on Google Images.
How the Virtual Try-On Feature Works
To utilize this innovative tool, users can follow these simple steps:
1. Select a Product: While browsing apparel items within Google’s Shopping Graph, tap on a product listing or apparel result.
2. Initiate Virtual Try-On: Click on the try it on icon associated with the selected item.
3. Upload Your Photo: Provide a full-length image of yourself to see how the clothing fits and appears on your body.
4. Review and Share: View the virtual representation, save your favorite looks, and share them with friends for feedback.
This feature leverages advanced generative AI technology to create realistic images of users wearing the selected garments, enhancing the online shopping experience by offering a personalized and interactive approach.
Evolution of Google’s Virtual Try-On Technology
Google’s journey into virtual try-on technology began with features that displayed clothing on a diverse range of models, allowing users to see how items looked on different body types and skin tones. The latest update takes this a step further by enabling users to visualize apparel on their own bodies, providing a more accurate and personalized shopping experience.
In June 2025, Google introduced an experimental app called Doppl, designed to help users explore their personal style by virtually trying on clothes. Doppl allows users to upload photos of outfits from various sources—such as friends, shops, or social media—and see how they look on a digital version of themselves. The app also generates AI-powered videos, offering a dynamic view of how the clothing moves and fits. Doppl is available on iOS and Android devices in the U.S.
Addressing Challenges and Ensuring Inclusivity
Developing realistic virtual try-on experiences presents several challenges, particularly in accurately representing how different fabrics drape, fold, and fit on various body types. Google’s AI model has been trained using a vast dataset from the Shopping Graph, which includes over 50 billion product listings. This extensive training enables the AI to generate high-quality, realistic images that reflect the nuances of clothing materials and designs.
To promote inclusivity, Google has incorporated a diverse range of models representing various sizes, skin tones, and body shapes. This approach ensures that users can see how clothing items might look on individuals who resemble them, fostering a more relatable and confident shopping experience.
Enhancing the Shopping Experience with AI
In addition to the virtual try-on feature, Google has introduced other AI-driven tools to assist shoppers:
– AI Mode: A chat-like search experience that helps users find inspiration, consider different options, and narrow down products based on their preferences.
– Agentic Checkout: An upcoming feature that will allow users to set price alerts for specific products, specifying their preferred size, color, and budget. When the product’s price meets the user’s criteria, they will receive a notification and can complete the purchase seamlessly through Google Pay.
These innovations aim to make online shopping more intuitive, personalized, and efficient, leveraging AI to bridge the gap between digital browsing and the tactile experience of in-store shopping.
Looking Ahead
As AI technology continues to evolve, Google plans to expand its virtual try-on capabilities to include a broader range of clothing items and styles. Future updates may also integrate more interactive features, such as real-time adjustments to fit and style, further enhancing the personalization of the online shopping experience.
By combining advanced AI with an extensive product database, Google is setting a new standard for online retail, offering users a more engaging and personalized way to shop for clothing from the comfort of their homes.
