7 Best AI Virtual Try-On Apps for Shopify (2026)

Virtual try-on has moved from novelty to a measurable revenue lever. Shoppers who use it convert at around 2.3 times the rate of those who do not, and stores that implement it well see conversion lifts of 20 to 40 percent, according to 2026 industry data. For a Shopify merchant, the question is no longer whether to add try-on, but which app to add. Here are the seven I would shortlist in 2026, and the one distinction that decides which is right for you.

My quick answer: for AI-generated try-on, where a shopper uploads a photo and sees themselves in the item, Photta is my top pick and the most flexible across apparel and jewelry. For live camera AR in eyewear, Fittingbox leads. For AR across jewelry and watches, Kivisense. Below is the full list, with honest limits.

The one distinction that matters

Try-on apps split into two camps, and mixing them up is the most common mistake I see. The first is live AR: your phone camera shows the product on you in real time, like a mirror. It is brilliant for eyewear, jewelry, and makeup, where the item sits in a predictable spot. The second is AI-generated try-on: you upload a photo and the tool generates an image of you wearing the item. It handles full garments and varied poses that live AR struggles with, and it doubles as a way to produce on-model catalog images. Pick the camp that fits your products first, then pick the app.

How I picked

I weighed each tool on the things that actually move the numbers: realism of the result, how well it fits Shopify, the breadth of products it covers, mobile experience (around 80 percent of try-on use is on a phone), and whether it also helps you produce product imagery rather than only serving shoppers. I have left out tools that exist as raw SDKs with no realistic path onto a Shopify storefront.

The 7 apps at a glance

App	Best for	Try-on type	Fit
Photta	AI try-on across apparel and jewelry, plus on-model images	AI-generated	Embeddable widget
Genlook	AI apparel try-on for fashion stores	AI-generated	Shopify integration
Modelia	Turning flat lays into on-model and try-on images	AI-generated	Shopify integration
Fittingbox	Eyewear, the AR standard	Live AR	Eyewear integration
Kivisense	Jewelry, watches, eyewear AR	Live AR (WebAR)	Shopify integration
Banuba / TINT	Makeup and beauty AR	Live AR	SDK and integrations
Wearfits	Apparel fit and sizing with AR	Live AR plus sizing	Shopify integration

1. Photta: best all-rounder for AI try-on

Photta is my first pick because it does the hardest version of try-on well, full garments on a real person, and is not limited to one category. A shopper uploads a photo and the AI generates an image of them wearing the clothing or jewelry, which works across apparel and accessories where live AR cannot. It runs as an embeddable widget you place on product pages, supports a wide range of languages, and uses the same AI pipeline that produces on-model catalog images, so the tool earns its keep twice, serving shoppers and generating your product photography from one place.

The honest limit: Photta is AI-image based, not a live camera mirror. For real-time AR on eyewear specifically, a specialist like Fittingbox will feel more immediate. But for the breadth of a fashion catalog, and for the bonus of producing catalog imagery, it is the most useful single tool here.

2. Genlook: best for fashion-only stores

Genlook focuses on AI apparel try-on for fashion merchants, letting shoppers preview garments on a model or on themselves. If your catalog is purely clothing and you want a focused try-on app rather than a broader imagery tool, it is a clean fit for Shopify fashion stores.

3. Modelia: best for on-model imagery

Modelia leans toward turning flat product shots into on-model images, which blurs the line between try-on and photography. For a store that mainly needs to show garments worn, without a model shoot, it is a practical way to lift flat lays into something shoppers respond to.

4. Fittingbox: best for eyewear

Fittingbox is the established standard for eyewear AR, with a vast frame library and genuinely convincing live try-on. If you sell glasses or sunglasses, this is the benchmark, and its own data on conversion and return reduction in eyewear is strong. It is specialist, so it is eyewear or nothing.

5. Kivisense: best for jewelry and watches

Kivisense brings WebAR try-on to jewelry, watches, eyewear, and more, with no app download for the shopper. For a store selling rings, bracelets, or watches that wants real-time AR on the wrist or hand, it is one of the stronger specialist options that integrates with Shopify.

6. Banuba / TINT: best for beauty

Banuba's TINT powers makeup and beauty AR, letting shoppers try lipstick and cosmetics shades live. It is built as an SDK with integrations, so it suits beauty brands with some development resource that want polished, accurate shade try-on.

7. Wearfits: best for fit and sizing

Wearfits pairs AR try-on with size recommendation, aiming squarely at the fit problem that drives apparel returns. If your returns are mostly about sizing rather than style, its fit-first angle is worth a look.

Why this is worth doing

The case for try-on is not soft. Beyond the conversion lift, the returns data is striking: Warby Parker reported a 45 percent reduction in returns within six months of adding try-on, and ASOS reported a 35 percent year-over-year drop for featured categories, per a research summary. Demand has caught up too, with 58 percent of online fashion shoppers having used a try-on tool and 71 percent of Gen Z calling it essential to where they shop. Returns are a margin killer, and try-on is one of the few tools that lifts the top line and trims the cost line at once.

How to choose

Start with your products, not the app. If you sell eyewear, Fittingbox. Jewelry or watches, Kivisense. Makeup, Banuba. If you sell apparel, or a mix of categories, the choice tilts to AI-generated try-on, where Photta covers the most ground and hands you catalog imagery as a bonus. Whichever you choose, put the try-on where shoppers look first, on the product image, since 56 percent explore the pictures before any text. That is where a try-on turns a browser into a buyer.

FAQ

Sources

• eMarketer, retailers rely on virtual try-on to curb returns and boost conversions: emarketer.com
• Focal, virtual try-on in e-commerce research summary: getfocal.co
• Fittingbox, how virtual try-on boosts eyewear sales: fittingbox.com
• Rewarx, virtual try-on conversion rate data: rewarx.com
• Baymard Institute, product page UX research: baymard.com