Google's Virtual Try-On for Apparel: What It Means for Stores
By the ZeDaq.ai team · · 4 min read
On this page
Google's virtual try-on for apparel shows a garment on a range of real models inside Google Search, which means more shoppers will expect to see clothes on a body before they buy. For stores, it is a signal about shopper habits, not a replacement for try-on on your own product pages.
Google's tool lives in Google's results. Once a shopper clicks through to your store, they leave it behind. Our list of virtual try-on apps for Shopify covers tools you can add to your own site.
Facts about Google below come from Google's own pages, checked November 2026.
What is Google's virtual try-on for apparel?
Google announced the feature on June 14, 2023, in a Google Shopping blog post. A generative AI model takes one clothing image and shows how it would drape, fold, cling, stretch and wrinkle on models.
The models are real people in various poses. Google says it chose them across skin tones, body shapes, ethnicities and hair types, in sizes from XXS to 4XL. At launch it covered women's tops from brands including Anthropologie, Everlane, H&M and LOFT, for US shoppers, with a "Try On" badge in Search.
What the announcement doesn't say
The post doesn't explain how merchants join or opt in. It also doesn't show the shopper's own body. Shoppers pick a model who looks like them, rather than uploading a photo.
How is it different from try-on on your own store?
The biggest difference is whose body appears and where it happens.
| Google's Search try-on | Try-on on your store | |
|---|---|---|
| Where it runs | Google Search | Your product pages |
| Whose body | A chosen model | The shopper, from their own photo (tool-dependent) |
| Who controls it | You | |
| Catalog covered | What Google includes | Products you switch on |
| Sizing advice | Not part of the announcement | Possible, if your tool includes it |
Source for the Google column: Google's announcement, checked November 2026.
A shopper who saw a top on a model in Search may still ask, "How will this look on me, and which size do I need?" Your product page is where you can answer both.
Does Google offer try-on to developers?
Yes, through Google Cloud. The Vertex AI virtual try-on documentation describes a model called virtual-try-on-001. You send an image of a person and an image of a clothing product, and it returns one to four images of that person wearing it.
That is a building block, not a finished store feature. Your developer would still need to build the upload screen, handle shopper photos, manage billing and show results. Our try-on API guide for developers walks through those pieces.
What should a fashion store do now?
You don't control whether Google features your products in its try-on. You do control what happens on your own site. Here is a short plan.
- Fix your product photos. Clear, front-facing garment images on a plain background suit most AI try-on tools, Google's included.
- Check your size chart. Shoppers who saw a garment on a model in their size range will want your chart to match that expectation.
- Add try-on to your best sellers. Start with the products that get the most fit questions or returns.
- Pair try-on with sizing. A good look and the wrong size still ends in a return.
- Test free before you pay. Most tools let you try a few renders first.
If you are weighing a free tool against a paid one, our comparison of free and paid try-on apps explains what usually changes between tiers.
A worked example
Say you sell 40 tops on a Shopify store. A shopper finds one of them in Search, sees it on a model in their size, and clicks through.
On your page, a "Try it on" button lets them upload one photo and see that top on themselves. A "Find my size" button then suggests M from your own chart. They arrive curious and leave with a clear size answer.
How does this compare with Amazon's approach?
Large marketplaces are adding their own try-on tools inside their platforms. Our guide on what Amazon sellers should know looks at the marketplace side.
The pattern is the same. The platform owns the experience on its pages, and you own the experience on yours.
Where does ZeDaq.ai fit?
ZeDaq.ai adds try-on and sizing to your own store. The shopper uploads one photo and sees your real garment on their body. A 30-second scan with one photo plus height suggests a size from your own size chart, with a generic UK, US, EU or AU chart as a fallback.
It installs as a Shopify app or as a script-tag widget on other platforms. Plans start at $0, with 3 try-ons, 3 measurements and 5 invoices a month. Paid plans are Micro $14, Starter $49, Growth $129 and Scale $299 a month, each with a 3-day free trial.
Add try-on to your own product pages
FAQs
Can shoppers use their own photo in Google's try-on?
Not in the 2023 launch. Google's announcement describes real models in a range of sizes, which shoppers choose from.
Can my store sign up for Google's try-on?
Google's announcement doesn't explain how merchants join. Check Google Merchant Center help or contact Google for current options.
Is Google's try-on API free?
Its Vertex AI documentation doesn't state prices on the try-on page. Check Google Cloud pricing before you build on it.
Try ZeDaq.ai free
Virtual try-on and Find my size for your store, plus client, order and invoicing tools for tailors, in one subscription.
