How to choose a virtual try-on app for your store

Virtual try-on has gone from novelty to a real category, with several serious options now available for Shopify stores. That is good for merchants, and it also means picking one takes a bit more care than it did a year ago. Here is what actually matters when comparing them.

What actually matters when comparing virtual try-on apps

• Fit realism. Does the app just paste a garment onto a photo, or does it account for the shopper's own body proportions? A size label means different things across brands, so a try-on that reflects the shopper's actual build is far more useful than one that assumes a perfect fit every time.
• Privacy handling. A customer photo is sensitive. Check whether the app runs face recognition, whether photos are stored or shared, and whether there is an automatic deletion policy. This should be stated plainly, not buried.
• Installation effort. The best options install as a Shopify app embed with no theme editing and no developer time. If a tool needs custom development to add a button to your product pages, that is real hidden cost.
• Generation speed and quality. A slow or low-quality result loses the shopper's attention. Look for a live demo you can test on your own photo before committing, not just marketing screenshots.
• Where else it reaches. If you also sell in a physical store, or want to build your own integration later, it is worth knowing whether the provider offers that beyond just a Shopify app.

How the main options compare

A few virtual try-on providers are active in the Shopify ecosystem as of 2026. Here is what each is publicly known for, based on their own listings and sites:

• Genlook installs as a Shopify app embed and focuses on high-fidelity rendering that preserves fabric texture and drape, plus an AI studio feature for generating marketing images and integrations like Klaviyo.
• Antla generates try-ons from a single shopper photo and is built around a share-for-discount loop, where a shopper gets a coupon for posting their try-on result, turning it into user-generated content. It integrates with Klaviyo, Attentive, and Postscript.
• Corlen installs the same way, with no theme edits, and differentiates on body-size aware fitting (the shopper indicates their own build, not just the garment size), a strict privacy model with no face recognition and automatic photo deletion, and reach beyond the online store: the same engine also runs an in-store kiosk and a developer API, so it is not limited to Shopify alone.

This list will keep changing as the category moves fast; always check a provider's current site directly before deciding, feature sets and pricing shift often.

The real question: does it reduce your returns?

Whichever app you pick, the reason to add virtual try-on at all is to close the fit gap that drives clothing returns. For the underlying case, see how to reduce online fashion returns. If the app you are evaluating cannot show you, on your own photo, a result that actually reflects how a garment would fit, it is not doing the job.

You can test Corlen directly: try it on your own photo, no account needed, or see the Shopify integration in detail.