These days, buying everything from sneakers to smartwatches happens with just a few taps on a screen. Clothing, however, can be tricky. An item that looks perfect in the photos might turn up in the wrong size or style at your door. Google’s new “Try On” feature aims to solve that problem.
By uploading a selfie, you can preview how a garment drapes on your body before you hit “purchase,” giving the process the feel of a fitting room instead of a guess.
In the following paragraphs, you’ll learn what the Google Try On feature does, how it operates behind the scenes, its advantages, and why it could change how we approach online fashion shopping.
The Google Try-On Feature is a tool that lets you see how clothes look on you without trying them on in person. You upload a full-body photo, and Google’s AI creates an image of you wearing clothes such as shirts, pants, skirts, or dresses.
It uses artificial intelligence to make buying clothes online easier. After you snap or upload a clear photo, the system places garments on your image so you can gauge style and fit on your own frame. You no longer have to rely on how something looks on a model who may not resemble you.
The company unveiled the feature at its I/O 2025 keynote on 20 May 2025. For now, it sits inside Google Search Labs, the platform where new ideas are tested, and it works only for shoppers in the United States.
Joining the trial is free and takes just a minute. Google’s engineers say they are fine-tuning the software and plan to extend access to more regions and a wider clothing range soon.
Aspect | Details |
Feature Name | Google Try On Feature |
Launch Date | May 20, 2025 |
Availability | U.S. via Google Search Labs |
Supported Items | Shirts, pants, skirts, dresses |
Technology | AI with custom image generation model, Shopping Graph (50B+ listings) |
User Steps | Opt in, find “Try it on” button, upload photo, view/save/share results |
Benefits | Reduces returns (35-40% for apparel), saves time, eco-friendly, fun |
Retail Impact | Increases sales, improves customer satisfaction, reduces return costs |
User Feedback | Realistic but may add unintended accessories or alter body parts slightly |
Privacy | Photos not saved or shared, used only for try-on |
Trying out the Google virtual try-on fitting room is quick and enjoyable. Follow these steps to give it a go.
Google notes that the visual is an estimate, so results won’t always match reality perfectly. If something appears off, use the feedback button—your input helps the tool improve for everyone.
Behind the scenes, the Try On option relies on computer vision and machine-learning tools built expressly for fashion. The system has been trained to read body proportions and mimic how different fabrics behave. Denim, cotton, and stretch knits crease and cling in their distinct ways; the software recreates those subtleties so the preview feels authentic.
To locate the exact item you are viewing, Google taps its Shopping Graph, a catalogue that now tracks more than 50 billion product entries. That reference library lets the algorithm match colour, cut, and size from the retailer’s page to the likeness in your photograph. Then, it generates a custom image of you, not a runway model, wearing the garment.
Inclusivity was part of the original brief. The virtual fitting room recognises sizes from XXS through 4XL, along with a wide array of body shapes, skin tones, and ethnic features. It uses the Monk Skin Tone Scale to calibrate complexion accurately, so every shopper can see a realistic, confidence-boosting result.
Here are some of the benefits of the Google Try-On feature:
Early users are already sharing colorful stories about their time in Google’s digital fitting room. During the I/O 2025 keynote, a CNET reporter snapped a full-body photo, fed it into the tool, and watched a denim jumpsuit appear on her image.
The preview looked almost like a professional photo shoot; the software even respected her hijab and slung a matching purse over her shoulder. When she swapped the jumpsuit for a bright pink sleeveless dress, however, the illusion slipped.
The algorithm invented stiff, awkward-looking arms and accessorized them with bangles and a smartwatch the reporter had never owned.
These mixed results highlight both the progress and the quirks that remain. A feedback button on every try-on screen lets shoppers flag oddities so the model can keep learning.
Privacy stays front and center, too. Google notes that photos you upload exist only long enough to generate the preview; they are not stored, funneled into other Google services, or shared with outside partners, keeping the experience secure.
Virtual dressing-room technology is reshaping retail. E-commerce ballooned in the last decade.
By 2016, Americans were already clicking “buy” for more than half of all purchases, and a year later, web sales of apparel, footwear, and accessories topped $81 billion. Analysts back then forecast the category would jump to $123 billion by 2022, a milestone the sector has since reached and surpassed.
Yet ill-fitting garments still plague fashion sites. Roughly one in three—sometimes closer to four—items ordered online make the round-trip to the warehouse because the cut or colour fails to meet expectations. Each unwanted parcel chips away at profit margins and piles extra cardboard, plastic, and emissions into the waste stream.
Google virtual Try On aims to break that cycle. By letting shoppers preview how a jacket drapes on their shoulders or where a skirt falls at the knee, the tool narrows uncertainty and curbs “buy-and-hope” behaviour.
Studies cited on ResearchGate show that when consumers experiment with these interactive mirrors, purchase intent rises; users call the experience both helpful and fun, provided their images stay private.
Beauty leaders such as Sephora and L’Oréal proved the concept with lipstick and hair-colour demos, and Google’s clothing rollout extends the idea to full outfits. As more merchants plug similar tech into their catalogues, expect a checkout process that feels livelier and far more dependable.
If you’re looking for some tips on how to use this feature, then this will do it for you:
Follow these small habits and your digital fitting room will feel almost as reliable as a physical mirror, guiding you toward outfits you’ll genuinely enjoy.
Google’s virtual Try-On option is already reshaping fashion e-commerce. By superimposing each garment onto your own photo, it replaces guesswork with confidence and turns shopping into a more enjoyable, hands-on experience.
The payoff—fewer returns, a broader palette of styles to explore, and a smoother path from cart to checkout—benefits both the customer and the retailer, which explains why the tool has generated so much buzz.
If you live in the United States, you can test-drive the feature right now by enrolling in Google Search Labs. While the technology still has a few quirks, it marks a decisive step toward a more immersive future for online retail.
So the next time you’re searching for a new outfit, open the Try-On preview—you might discover the perfect piece without ever leaving the couch.
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We know buyer behavior is changing due to the applications of AI-powered tools, and we will keep your brand at the top of the game.
Contact ResultFirst today and enjoy a free consultation on how we can optimize your online presence to cater to the next generation of shoppers.
Right now, you can try on women’s and men’s tops, like shirts and blouses. Google plans to add more clothing types, like dresses, pants, and accessories, in the future, according to Google’s blog.
No, it’s free! You just need to sign up for Google Search Labs to access it. There’s no cost to try on clothes virtually.
Yes, Google takes privacy seriously. Your photo is used only for the virtual try-on and isn’t saved or shared with anyone, as explained on Google’s support page.
Yes, you can use it on your phone or computer through a web browser by visiting Google Search Labs. Google might add it to the Google Shopping app later.
The AI might make small mistakes, like adding extra accessories or making sleeves look odd. You can use the “Give feedback” link to tell Google about any issues, which helps them improve the feature.