Google Launches Try on App: Upload & See Outfits
Google launches a new virtual shopping experience that changes how people buy clothes online. The company combines an experimental Labs app called Doppl with a powerful AI feature inside Google Search and Shopping. Users can see outfits on their own body from just a single photo.
Google’s official announcement confirms the system uses advanced AI to understand body shape and how fabrics drape. It works across billions of clothing items in Google’s Shopping Graph without requiring manual measurements.
This represents Google’s biggest push into virtual fashion. TechCrunch reports that the feature now works with just a selfie, making virtual shopping more accessible than ever.
What Is the New Virtual Shopping Experience?
Google launches two main components that work together for virtual clothing visualization.
Doppl: The Experimental App
Doppl is an experimental mobile app from Google Labs. Users upload their own photos and build a digital version of themselves. The try on app lets you virtually test outfits, mix and match looks, and explore style boards that feel like a personalized lookbook.
Try It On in Google Shopping
The second component is built into Google Shopping and Search. This feature lets you upload a full-body photo and see billions of clothing items from Google’s Shopping Graph realistically applied to you.
Both systems use the same underlying generative AI fashion model. Google explains that the technology understands the human body and how fabrics drape, stretch, and fold on different shapes.
How Doppl Works for Virtual Styling
The official Google Labs page describes Doppl as “an experimental new app for shoppers to go even deeper with virtual styling.” This system takes a different approach than simple product widgets.
Upload Personal Photos
The system starts by having you upload personal photos. These can be full-body shots or outfit photos. Doppl uses these images to build a digital version of you.
Overlay Different Garments
Once your digital version is ready, you can overlay different garments from partner catalogs. You can also test styled looks suggested by the AI system.
Generate Videos and Images
The platform generates both static images and AI-driven videos. These videos show you walking or moving in the outfits. This gives a better sense of fit and movement than static images alone.
The AI Insider reports that Google launches this as a playful, exploratory styling tool. You can remix your wardrobe and test new aesthetics beyond simple product previews.
Because Doppl lives in Google Labs, it’s explicitly labeled as experimental. Feedback from early users will shape future retail and shopping products.
Virtual Try-On Inside Google Shopping
Alongside Doppl, Google launches a high-scale virtual experience inside its core shopping surfaces. This integration makes virtual try-on accessible to millions of shoppers.
AI Mode Integration
The feature sits under “AI Mode” and virtual try-on updates in Google Shopping and Search Labs. It uses a custom image generation model for fashion that understands body pose, fabric behavior, and lighting.
How to Use the Feature
Users simply tap the “try it on” icon on supported product listings. These include shirts, pants, skirts, and dresses. Upload a full-length photo and see how the item looks on you in seconds.
Mashable’s hands-on review confirms this is the first at Google’s scale to support billions of clothing items. It works directly from the Shopping Graph without building a 3D avatar.
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Why This Virtual Shopping Tool Actually Works
Early reviews highlight several strengths that make this system stand out from earlier virtual fitting tools.
Realistic Drape and Fit
The AI respects body shape and pose rather than simply stretching a flat product image. Clothes look like they’re actually worn, not pasted on. This makes it more useful for understanding real fit.
Low Friction Experience
The system requires no manual body measurements or avatar building. You upload a photo once and can reuse it across multiple items. This low-friction approach makes it accessible to casual shoppers.
Scale and Variety
Because it’s hooked into the Shopping Graph with 50 billion+ listings, you can test items across many brands. ResultFirst notes that users aren’t limited to one retailer’s catalog.
Works from a Selfie
TechCrunch’s coverage notes that Google launches the feature with selfie support. The model can infer full-body pose for some items, making it even easier to use.
Where the Virtual Try-On Is Available
Access is currently limited and clearly marked as a test.
Regional Availability
Google launches the AI experiment in the United States via Search Labs and Google Shopping. It’s not yet available in other regions.
Supported Items
The system initially supports shirts, pants, skirts, and dresses. Google indicates plans to expand categories over time to include more apparel types.
How to Access It
To use the virtual try-on feature:
- Join Search Labs in your Google account
- Enable the try-on experiment
- Upload a full-body photo once
- Tap “Try it on” on eligible apparel items in Search or Shopping
Doppl as a Labs app is also region-limited. It may only be accessible via specific signup flows or invite lists at this stage.
Why Google Invested in Virtual Fashion
Google launches this push as part of a larger strategy to make AI central to its shopping experience.
Reduce Returns and Uncertainty
Better visualization should help shoppers understand fit and style before buying. This reduces returns and increases purchase confidence. It benefits both shoppers and retailers.
Increase Discovery and Engagement
Doppl’s shoppable feed and AI-generated outfit videos are designed to feel familiar to TikTok and Reels users. The system keeps them inside the Google ecosystem while discovering new products.
Data for Future Fashion AI
As labs experiments, both Doppl and the Shopping integration help Google learn what people actually want from virtual styling. This feeds future products across Search, Shopping, and potentially YouTube or Android.
Brand Optimization Opportunity
For brands, SEO experts argue this is a new surface to optimize for. Ensuring high-quality product imagery and accurate attributes makes items eligible for the virtual try-on feature.
The Bottom Line
Google launches a significant advancement in virtual shopping with Doppl and AI Mode integration. The try on app lets users upload a single photo and see how billions of outfits would look on them.
The system requires no tape measure or 3D avatar creation. It understands body shape, fabric drape, and realistic fit. Early reviews suggest it delivers on its promise of realistic visualization.
Google launches the feature in the United States through Search Labs. It supports shirts, pants, skirts, and dresses with plans to expand categories. Both Doppl and Shopping integration remain experimental as Google gathers user feedback.
For shoppers frustrated by online clothing returns, this offers a practical solution. You can see how items actually look on your body before purchasing. As Google launches expansions to more categories and regions, it could fundamentally change how people shop for clothes online.
The virtual shopping experience shows Google’s commitment to AI-powered commerce. Whether you use Doppl for playful styling or the Shopping integration for quick product checks, the technology makes online fashion shopping more confident and less risky.
Author: M. Huzaifa Rizwan
