Virtual try-on apps for Shopify fashion stores: an honest comparison.
Virtual try-on for apparel splits into three technical approaches that solve different problems, and most comparisons blur them together. This page compares the solutions available to Shopify fashion merchants in 2026 by the criteria that actually decide the choice: what you ask of the shopper, whether sizing is included, what it costs, and how fast it goes live. Pricing and features verified in August 2026 from public sources.
Three approaches, three different problems.
Photo-based generative try-on
The shopper uploads a photo or takes a selfie, and an AI model renders the garment onto that image. This is the dominant approach on Shopify in 2026: fast to deploy, no 3D assets required, instant visual payoff. It answers “how will this look on me?” and generally stops there: most photo-based tools display your existing size chart alongside the render rather than computing a size for the individual shopper. Its structural limits: a share of shoppers won't photograph themselves mid-purchase, and a photo carries no body measurements, so the tool can't tell them which size to order.
Avatar-based try-on
A digital body model is built for the shopper, from declared characteristics, from a smartphone body scan, or both, and garments are rendered onto it. Because the system holds body data, the same profile can drive both the visual and a per-garment size recommendation. The trade-off is a setup step before the first render, where a photo upload is immediate.
Enterprise suites
Broader platforms covering sizing, try-on, search and recommendations, deployed on enterprise-grade e-commerce stacks. Pricing is quote-based and deployment is a project rather than an install. Built for established retailers with e-commerce teams.
The solutions compared.
| Solution | Approach | Asks the shopper for | Per-garment size recommendation | Profile persists | Entry price (Aug 2026) |
|---|---|---|---|---|---|
| Genlook | Photo-based | A photo | No | No | Free plan, then from $14.99/mo |
| Antla | Photo-based | A photo | No — pairs try-on with your existing size chart | No | From $19.99/mo |
| Looksy | Photo-based | A photo | No | No | From $29.99/mo |
| UTRY | Photo-based | A photo | No | Yes — cross-brand shopper ID | From $235/mo + fee per assisted sale |
| Swan AI | Avatar-based | A smartphone body scan | Yes | Yes | From $9/mo |
| OptiDress | Avatar-based | Declared body data — no photo | Yes | Yes — 30 days on the store | Traffic-based subscription |
| Veesual | Model-based | Nothing — the shopper picks a model | No | Not applicable | Quote |
| Kleep | Enterprise suite | Questionnaire, or a 2-photo scan for the visual | Yes | Not observed | Quote |
Compiled from public listings and vendor documentation, August 2026. Pricing changes frequently: verify current rates before deciding.
Which one, depending on what matters to you.
If you want to test with zero budget → Genlook
Genlook is the only apparel try-on app on Shopify with a genuine free plan, and the cheapest paid entry point after it. If your goal is to find out whether your shoppers engage with try-on at all before committing budget, install it and measure. It won't tell shoppers which size to order, but that isn't what a validation test is for.
If try-on is part of your marketing stack → Antla
Antla connects to Klaviyo, Attentive and Postscript, triggers automatic discounts off the back of a try-on, and is built around sharing. If you want try-on to generate email captures and user-generated content rather than only reduce returns, it's the most complete option in that direction.
If measurement precision is the priority → Swan AI
Swan builds an avatar from a smartphone body scan and states 30 measurements accurate to within a centimetre, then recommends a size per garment. Where a scan is acceptable to your audience and precision matters more than friction, it's the most accurate consumer-facing option on Shopify, and it starts at $9/month, below anything else with sizing built in.
If styling full outfits is the goal → Veesual
Veesual lets shoppers pick from pre-modelled models and view complete looks, with Mix & Match and multi-size viewing. Nothing is asked of the shopper, no photo, no data, because they never see themselves. For a brand whose priority is editorial presentation of a large catalogue rather than individual fit, that's the right trade.
If you're an established retailer with an e-commerce team → Kleep
Kleep is the most complete European offering: sizing, try-on, conversational and visual search, recommendations, deployed from Shopify through to Salesforce Commerce Cloud and Adobe Commerce, with published references including Lacoste, Givenchy and Victoria Beckham. Pricing is by quote, which in practice places it beyond independent brands.
If shoppers shouldn't have to submit a photo → OptiDress
Every photo-based tool loses the shoppers who won't photograph themselves at the point of purchase, and Swan's body scan is still a camera step. OptiDress is the only solution here where neither creating the avatar nor rendering the garment involves a photo: the shopper enters height, weight, body shape and optional measurements, and that same profile drives both the visual and a per-garment size recommendation with a fit description. The avatar stays saved on the store for 30 days, so returning shoppers don't start over. Integration is handled by the OptiDress team in under 24 hours, across Shopify, WooCommerce, Magento, PrestaShop, BigCommerce, Wix, Squarespace, Webflow, Shopware, Salesforce and custom builds. The trade-offs: a data-entry step before the first render, where a photo is instant, and a smaller public reference base than the established players.
What actually decides the choice.
Four questions, in order of how much they matter:
- What are you asking the shopper to do? A photo upload is instant but excludes a share of your traffic. Declared data is a small friction everyone can complete. A body scan is the highest friction and the highest precision.
- Do you need to answer the size question? Fit uncertainty is the leading driver of apparel returns. A tool that renders the garment beautifully but leaves the shopper guessing between M and L hasn't addressed it. Check whether sizing is computed per shopper, or whether your existing size chart is simply displayed next to the render.
- Does the profile persist? If the shopper starts over on every visit, the tool only works on impulse purchases, and apparel purchases usually involve return visits.
- What happens beyond Shopify? If you run WooCommerce, Magento or a custom build now or later, most Shopify-native apps won't follow you there.
What this comparison doesn't cover.
Rigid goods need a different technology. For eyewear, jewellery, watches, shoes and cosmetics, live AR specialists outperform generative apparel try-on: their strength is real-time overlay on a camera feed, which is the right answer for products that sit on the face, wrist or feet. This page is limited to apparel, where the fit question is the one worth solving.
Frequently asked questions.
What's the difference between photo-based and avatar-based virtual try-on?
Photo-based tools render the garment onto a picture the shopper uploads. Avatar-based tools build a body model, from declared data or a scan, and render onto that. Only the second holds the measurements needed to recommend a size, which is why avatar-based tools usually include sizing and photo-based tools usually don't.
Which virtual try-on works without a photo?
OptiDress requires no photo at any stage: the avatar is built from declared body data. Veesual also asks for nothing, but shows the garment on a pre-modelled model rather than on the shopper. Swan AI builds an avatar from a smartphone body scan, which still involves the camera.
Does virtual try-on reduce returns?
Fit uncertainty is the leading cause of apparel returns, so tools that resolve it before checkout address the main driver. Vendor-published percentages are usually measured on shoppers who chose to use the tool, a group with higher purchase intent than average, so treat them as directional and run your own A/B test on split traffic.
How much does virtual try-on cost on Shopify?
Self-serve apps run from free to roughly $300/month with included render volumes, some adding usage fees beyond plan limits. Enterprise suites are quote-based. Traffic-based subscriptions scale with store size rather than render count.
Can I use virtual try-on outside Shopify?
Most apps in this comparison are Shopify-first. Solutions covering WooCommerce, Magento, PrestaShop, BigCommerce and custom builds are fewer: check platform coverage before committing if your stack may change.
See also: OptiDress vs Veesual · OptiDress vs Genlook · OptiDress vs Kleep
Comparison compiled in August 2026 from publicly available information: vendor websites, Shopify App Store listings and official communications. All trademarks belong to their respective owners. Pricing and features change frequently: verify current details with each vendor. Spotted an inaccuracy? Tell us at contact@optidress.fr.