Google Launches AI Virtual Try-On: Visualize Outfits with Just a Selfie

Google’s AI-Powered Virtual Try-On Now Accessible with a Simple Selfie

In a significant advancement for online shopping, Google has enhanced its AI-driven virtual try-on feature, enabling users to visualize clothing on themselves using just a selfie. This update, announced on December 11, 2025, simplifies the virtual fitting process, eliminating the previous requirement for full-body photos.

Seamless Virtual Fittings with a Selfie

Previously, Google’s virtual try-on necessitated users to upload full-body images to see how apparel would look on them. With the latest update, users can now take a simple selfie, and Google’s advanced AI, powered by the Gemini 2.5 Flash Image model, will generate a full-body digital representation for virtual fittings. This innovation streamlines the user experience, making virtual try-ons more accessible and user-friendly.

How It Works

To utilize this feature, users follow these steps:

1. Select Clothing Size: Choose your usual clothing size to ensure accurate representation.

2. Generate Images: The AI processes the selfie to create several full-body images.

3. Choose Default Image: Review the generated images and select one to serve as your default try-on photo.

This process allows users to see how different clothing items would look on their digital selves, enhancing confidence in online apparel purchases.

Additional Options

While the selfie-based feature offers convenience, users still have the flexibility to:

– Upload Full-Body Photos: For those who prefer or have existing full-body images.

– Select from Diverse Models: Choose from a range of models with various body types to see how clothing fits different physiques.

Availability

This enhanced virtual try-on capability is now available to users in the United States, marking a significant step in making online shopping more interactive and personalized.

Evolution of Google’s Virtual Try-On

Google’s journey into virtual try-on technology began in July 2025, allowing users to try on apparel items from its Shopping Graph across Search, Google Shopping, and Google Images. Users could tap on a product listing or apparel result and select the try it on icon to visualize clothing on themselves.

In June 2025, Google introduced Doppl, an experimental app designed to help users visualize how different outfits might look on them using AI. Doppl enables users to upload full-body photos and virtually try on outfits, offering a more immersive experience.

Further enhancing Doppl’s capabilities, Google added a shoppable discovery feed in December 2025. This feature displays AI-generated videos of real products, suggesting outfits based on personalized styles and providing direct links to merchants, making the shopping experience more engaging and tailored.

The Role of AI in Fashion Retail

The integration of AI into fashion retail addresses common challenges faced by online shoppers, such as uncertainty about fit and appearance. By providing realistic visualizations of clothing on users’ digital representations, AI-powered tools like Google’s virtual try-on enhance decision-making and reduce the likelihood of returns.

Moreover, these advancements reflect a broader trend in the retail industry, where technology is leveraged to create personalized and interactive shopping experiences. As consumers increasingly seek convenience and customization, AI-driven solutions are becoming essential in meeting these demands.

Looking Ahead

Google’s continuous investment in AI for fashion retail suggests a commitment to evolving the online shopping landscape. Future developments may include:

– Expanded Apparel Categories: Extending virtual try-on capabilities to a wider range of clothing items and accessories.

– Enhanced Personalization: Utilizing AI to offer more tailored recommendations based on user preferences and past interactions.

– Integration with Augmented Reality (AR): Combining AI with AR to provide even more immersive and interactive shopping experiences.

As these technologies continue to advance, the boundary between physical and digital shopping experiences will further blur, offering consumers unprecedented convenience and confidence in their online purchases.