TryOn Virtual

Overview

TryOn Virtual gives retailers two ways to add virtual try-on to browser-based product pages: tracked AR for eyewear and watches, and AI photo composites for other categories. It is best suited to merchants who want to cover varied products without building every item as a 3D model.

The breadth of methods and storefront options is appealing, but the free plan’s 25 monthly sessions make it a small-scale starting point rather than a durable option for busy stores.

Key features

Eyewear and watches use face or wrist tracking, with browser rendering described at 60fps. AR processing stays on the shopper’s device, so camera images, video, and tracking data are not transmitted to or stored by TryOn Virtual. That is a meaningful privacy distinction for camera-based try-on.

For clothing, shoes, accessories, and jewelry, shoppers upload a photo for an AI composite, without a product 3D model. This opens try-on to more of a catalog, though it requires an image upload. TryOn Virtual says it deletes selected photos within 24 hours and does not use them to train its models. Its stated safeguards also include TLS in transit, private object storage, and access controls limiting stored images to processing systems.

Merchants with 3D assets can use GLB, GLTF, USDZ, SPZ, and PLY formats. Shopify gets a native theme extension that requires no custom development; WooCommerce, Magento, BigCommerce, and custom storefronts are also supported. A REST API covers product management and storefront integration, while the merchant dashboard reports sessions, product engagement, and conversion metrics. Those tools make the product more adaptable for retailers with an existing commerce stack, but non-Shopify merchants may need technical integration work.

Pricing

Starter is free and includes 25 try-on sessions a month and three free AI-built 3D models. Usage pauses at the session limit, making it suitable for a modest pilot but not for a store that needs uninterrupted try-on beyond that cap.

Essentials costs 15.00 USD per month, or $15 monthly or $150 per year (17% savings). It includes 150 sessions and five free AI-built 3D models; extra sessions cost $0.15 and extra 3D generations $0.75. This is the entry paid tier for stores with moderate activity, though its per-session overage can add up if demand regularly exceeds quota.

Growth costs 49.00 USD per month, or $49 monthly or $492 per year (16% savings). Its 500 sessions, 10 free models, and lower overages of $0.05 per session and $0.50 per extra generation suit merchants with more regular use. Scale costs 149.00 USD per month, or $149 monthly or $1,548 per year (13% savings), for 5,000 sessions and 100 free models, with the same overage rates as Growth. That larger allowance is the clearer fit for high-volume stores.

Custom has custom pricing and offers unlimited sessions and AI-built 3D models, plus non-Shopify storefronts and in-store retail. Support rises from email on Starter and Essentials to priority chat and email on Growth, then 24/7 support on Scale and Custom. A 14-day trial is offered. The listed plans do not specify seat counts, so team sizing should be confirmed before choosing a tier.

Platforms

TryOn Virtual supports web and API. Storefront integrations include Shopify, WooCommerce, Magento, and BigCommerce, with custom storefronts connected through a JavaScript snippet.

Who it's for

Retailers selling across eyewear, watches, clothing, shoes, jewelry, bags, or luggage can use its mix of tracked AR and photo-based composites. It is especially compelling for Shopify stores seeking a native extension and for merchants who need an API or multiple storefront options. Stores with privacy-sensitive shoppers can distinguish device-side AR from photo try-on, which uploads the selected image for processing.

It is a weaker fit for stores that cannot tolerate a hard stop at 25 monthly sessions on the free plan, or that want predictable costs while exceeding a paid tier’s quota. Those merchants should weigh the included session volume against the listed per-use charges.

Pros and cons

• Pro: Two try-on methods cover tracked eyewear and watches as well as photo-based composites for other categories, including without a product 3D model.
• Pro: Shopify’s native theme extension avoids custom development, while other commerce integrations and a REST API broaden deployment options.
• Pro: Device-side AR keeps camera images, video, and tracking data from being sent to or stored by the company.
• Con: Starter pauses at 25 sessions per month, so it cannot support continued usage after its free allowance is exhausted.
• Con: Paid plans charge for extra sessions and 3D generations, leaving costs variable when quotas are exceeded.
• Con: Photo try-on requires shoppers to upload an image, unlike the on-device AR flow.

Alternatives

AI Virtual Try-On Tools and Virtual Try-On Software are useful starting points for comparing category options.

• WANNA is a paid option available on Android, iOS, and web.
• Fittingbox Virtual Try-On is a paid option with a free trial and broader platform coverage, including Windows and macOS; its Bronze plan starts at 59.00 USD per month.
• DRESSX Virtual Try-On is a paid option for Android, API, iOS, and web, with enterprise pricing available by custom quote.
• PICTOFiT is a paid option for Android, iOS, and web.
• TryOnCloud offers a 10-TryOn monthly free trial without a card and a $19.00-per-month Starter plan for 100 TryOns; it is worth comparing for retailers prioritizing a small trial allowance.
• WEARFITS offers flexible pricing at 14.00 EUR per month per product or a one-time €149 for ultra-quality digitisation.
• Perfect Corp. Virtual Try-On is an enterprise-priced option with a free trial.
• FASHN API sells on-demand credits for 7.50 USD per purchase, with no required subscription, for API-only deployment.

Verdict

TryOn Virtual is a strong choice for retailers who want both tracked AR and photo-based try-on, especially Shopify merchants or teams integrating through an API. Its chief advantage is covering varied product types with different try-on methods; its main reason to look elsewhere is the free cap and the added cost of usage beyond paid quotas.