GITNUXSOFTWARE ADVICE
Top 10 Best Virtual Eyewear Try On Software of 2026
Compare 10 virtual eyewear try on software tools ranked by features, fit accuracy, integrations, and pricing for retailers and optical teams.
How we ranked these tools
Core product claims cross-referenced against official documentation, changelogs, and independent technical reviews.
Analyzed video reviews and hundreds of written evaluations to capture real-world user experiences with each tool.
AI persona simulations modeled how different user types would experience each tool across common use cases and workflows.
Final rankings reviewed and approved by our editorial team with authority to override AI-generated scores based on domain expertise.
Score: Features 40% · Ease 30% · Value 30%
Gitnux may earn a commission through links on this page — this does not influence rankings. Editorial policy
Wannaby is the strongest overall choice when eyewear retailers want branded browser and mobile try-on for fashion-frame discovery, while Fittingbox fits optical retailers that need managed 3D frame assets and branded try-on across ecommerce and mobile.
Editor’s top 3 picks
Three quick recommendations before you dive into the full comparison below — each one leads on a different dimension.
Wannaby
Wanna Glasses extends Wannaby’s reusable AR commerce framework into branded eyewear catalog experiences.
Built for fits when eyewear retailers need branded browser and mobile try-on for fashion-frame discovery..
Fittingbox
Editor pickFittingbox’s 3D frame digitization service converts eyewear references into try-on-ready assets for a managed product catalog.
Built for fits when optical retailers need managed 3D assets and branded try-on across ecommerce and mobile..
Ditto
Editor pickDittometry combines facial measurements with frame-specific fit guidance for optical retail and ecommerce journeys.
Built for fits when eyewear retailers need online try-on connected to catalog and assisted-selling workflows..
Related reading
Comparison Table
Virtual eyewear try-on software maps facial landmarks and frame geometry to render glasses through mobile apps, websites, or embedded commerce flows. This ranking helps analysts, retailers, and technical teams compare deployment reach, tracking accuracy, frame-data coverage, integration methods, and implementation effort across SDKs, APIs, browser tools, and commerce platforms.
Wannaby
specialistAR try-on SDK covering eyewear, footwear, and apparel with real-time rendering on mobile and web.
Wanna Glasses extends Wannaby’s reusable AR commerce framework into branded eyewear catalog experiences.
Wannaby gives eyewear retailers a branded try-on experience instead of a generic camera filter. The product supports real-time face tracking for frame placement and can present virtual products within commerce experiences. WebAR deployment reduces the need for shoppers to install a separate application.
Eyewear coverage centers on appearance and frame selection rather than documented prescription-lens simulation or pupillary-distance measurement. Retailers selling fashion frames can use the experience for product pages, campaign landing pages, and assisted sales. Teams requiring optical accuracy, prescription configuration, or detailed fit guarantees may need additional systems.
- +Branded virtual eyewear experiences support retailer-specific shopping journeys
- +Browser access reduces friction for mobile shoppers
- +Wannaby’s AR portfolio supports cross-category campaign reuse
- +Real-time face tracking keeps frames aligned during movement
- –Prescription lens visualization is not clearly documented
- –Pupillary-distance measurement is not positioned as a core capability
- –Advanced catalog and commerce integration may require implementation support
- –Optical fit accuracy is less defined than visual appearance
Eyewear ecommerce teams
Product-page virtual frame previews
More informed frame selection
Fashion eyewear brands
Campaign landing-page try-on
Interactive campaign engagement
Show 2 more scenarios
Optical retail associates
In-store assisted frame comparison
Faster style shortlisting
Associates can use camera-based previews to compare styles before physical samples are retrieved.
Multichannel retail teams
Mobile-to-store frame discovery
Better prepared store visits
Shoppers can preview eyewear digitally before visiting a store for physical fitting.
Best for: Fits when eyewear retailers need branded browser and mobile try-on for fashion-frame discovery.
More related reading
Fittingbox
enterpriseVirtual eyewear try-on platform with a database of digitized frames from major eyewear brands.
Fittingbox’s 3D frame digitization service converts eyewear references into try-on-ready assets for a managed product catalog.
Fittingbox gives optical ecommerce teams a managed route from frame references to try-on-ready 3D assets. Its web experience can support branded storefronts, while native SDK integration supports custom mobile applications. The catalog workflow suits retailers managing many frame SKUs across brands, colors, and sizes.
The main tradeoff is vendor coordination for unusual frame geometry, asset creation, and rendering validation. A multi-brand retailer can use WebAR deployment on product pages and connect the catalog to a mobile shopping application.
- +Managed 3D asset creation reduces retailer-side modeling work.
- +Web and mobile deployment options support branded customer journeys.
- +Frame catalog workflows accommodate multi-brand assortments.
- +API and SDK routes support custom storefront and app builds.
- –Asset onboarding can depend on Fittingbox’s production workflow.
- –Unusual frame geometries may require additional modeling coordination.
- –Administrative controls are less visible than customer-facing try-on features.
- –Prescription-specific rendering may require additional scope validation.
Optical ecommerce teams
Product detail try-on
More informed frame selection
Eyewear brands
Branded collection launches
Consistent collection presentation
Show 2 more scenarios
Mobile app teams
Custom app integration
In-app frame evaluation
SDK access places eyewear try-on inside existing shopping and appointment journeys.
Multi-brand retailers
Assortment presentation
Lower catalog production effort
A centralized asset workflow reduces repeated modeling work across brands, colors, and frame variants.
Best for: Fits when optical retailers need managed 3D assets and branded try-on across ecommerce and mobile.
Ditto
vertical specialist3D virtual eyewear try-on platform that lets shoppers see how glasses fit using their device camera.
Dittometry combines facial measurements with frame-specific fit guidance for optical retail and ecommerce journeys.
Ditto supports frame visualization across desktop and mobile shopping experiences. Its catalog workflow connects frame records with 3D assets, while measurement features help shoppers assess frame proportions and pupillary distance. Optical retailers can use Ditto for ecommerce try-on, assisted selling, and frame recommendations.
The main tradeoff is implementation effort for businesses with large or inconsistently modeled catalogs. Ditto fits retailers that want shoppers to compare several frames online before an optician consultation or purchase.
- +Built for optical retail and ecommerce workflows
- +Supports frame catalog integration with 3D product assets
- +Combines try-on with measurement and recommendation features
- +Enables multi-frame comparison during assisted selling
- –Large catalogs require structured frame asset preparation
- –Fit recommendations depend on accurate product dimensions
- –Advanced optical workflows may require implementation support
- –Coverage varies across frame and lens configurations
Optical ecommerce teams
Add try-on to frame product pages
More informed frame selection
Branded eyewear retailers
Present seasonal collections digitally
Consistent digital merchandising
Show 2 more scenarios
Optician sales teams
Support in-store frame consultations
Faster assisted consultations
Staff can compare multiple frames visually while discussing proportions, measurements, and customer preferences.
Eyewear manufacturers
Extend direct-to-consumer fitting
Lower development burden
Manufacturers can add Ditto try-on capabilities to branded storefronts without building facial tracking infrastructure internally.
Best for: Fits when eyewear retailers need online try-on connected to catalog and assisted-selling workflows.
More related reading
Perfect Corp
enterpriseAI-powered AR try-on suite covering beauty, eyewear, and accessories for enterprise brands.
AI-powered eyewear recommendations connect facial analysis with frame selection instead of stopping at a simulated overlay.
Eyewear try-on software typically pairs facial tracking with digital frame overlays, while integration depth separates retail-ready deployments. Perfect Corp combines eyewear AR with facial analysis, frame recommendations, and deployment options for websites, mobile apps, and in-store experiences.
Its SDK and API support branded catalogs and custom user journeys across consumer touchpoints. Prescription lens visualization and enterprise governance receive less emphasis than frame try-on and recommendation workflows.
- +Supports web, mobile, and in-store eyewear experiences through SDK and API delivery.
- +Combines frame try-on with AI-based facial analysis and recommendation workflows.
- +Supports branded frame catalogs instead of limiting retailers to fixed inventory.
- +Connects eyewear experiences with Perfect Corp’s broader beauty technology stack.
- –Prescription lens visualization receives less emphasis than cosmetic frame selection.
- –Advanced catalog synchronization may require retailer-side integration work.
- –Enterprise RBAC and audit-log coverage are not prominent product capabilities.
- –Results depend on suitable digital frame assets and device camera conditions.
Best for: Fits when retailers need branded eyewear try-on across web, mobile, and broader beauty-commerce journeys.
Banuba
API-firstFace AR SDK with virtual eyewear try-on modules for mobile apps and web integrations.
Banuba Effect Player runs reusable AR eyewear effects across native and web SDK integrations.
Banuba places virtual glasses in live camera views through an SDK-led model that supports branded mobile and browser experiences. Its Face AR SDK combines real-time face tracking with the Effect Player for reusable eyewear effects and frame assets. iOS, Android, and web integrations cover multiple deployment paths, while catalog synchronization, prescription logic, and merchandising controls require surrounding application work.
- +Native iOS, Android, and web SDKs support multiple deployment paths.
- +Effect Player supports reusable branded eyewear effects across integrated applications.
- +Real-time face tracking maintains frame placement during camera movement.
- +Banuba Studio gives teams a dedicated workflow for preparing AR effects.
- –Custom 3D asset preparation remains necessary for each frame collection.
- –Catalog and inventory synchronization require customer-side integration work.
- –Prescription lens visualization is not positioned as a core eyewear workflow.
- –Browser performance depends on camera quality and device graphics hardware.
Best for: Fits when retailers need branded eyewear try-on embedded across mobile apps and browser commerce.
DeepAR
API-firstAugmented reality SDK and web plugin offering virtual try-on for eyewear, makeup, and headwear.
DeepAR Studio provides visual authoring and live preview for custom face effects before they enter an app integration.
DeepAR suits retailers and app teams that need branded eyewear try-on inside native mobile apps or browser experiences. Its SDK combines real-time face tracking with 3D effect rendering, while DeepAR Studio supports custom effect creation and preview. Teams can deploy through iOS, Android, and WebAR integrations, but eyewear catalog synchronization, prescription behavior, and fit-specific retail logic require separate implementation.
- +DeepAR Studio provides visual effect authoring alongside SDK testing.
- +Native iOS, Android, and web SDKs support multiple deployment surfaces.
- +Custom 3D assets support branded frame designs and campaign-specific overlays.
- +Head movement tracking maintains eyewear overlay alignment during live previews.
- –Retailers must build frame SKU catalog synchronization and product-selection logic separately.
- –Prescription calculations and frame-fit recommendations are not core documented workflows.
- –Accurate results depend on suitable 3D asset preparation and camera conditions.
- –Web deployment and native integrations require separate implementation paths.
Best for: Fits when retailers need branded eyewear previews embedded across mobile apps and browser shopping journeys.
More related reading
Visage Technologies
API-firstFace tracking and AR SDK with virtual eyewear try-on capabilities for retail and custom applications.
Visage|SDK provides cross-platform libraries for embedding custom eyewear experiences inside branded applications and product interfaces.
Visage Technologies takes an SDK-first approach to virtual eyewear try-on, allowing retailers to embed branded experiences in custom applications instead of relying only on hosted storefront components. Its computer-vision stack supports live facial alignment, head movement handling, and placement of 3D eyewear assets.
Native integration supports custom application flows and retailer-specific interface design. Public product materials provide less evidence of built-in catalog administration, prescription workflows, and session analytics than of the underlying tracking technology.
- +SDK-first architecture supports branded eyewear experiences inside custom retailer applications.
- +Face tracking maintains frame placement as users move their heads.
- +Native integration supports retailer-specific interfaces and application workflows.
- +3D asset workflows can represent multiple frame styles in one experience.
- –Merchant-facing catalog administration is not a prominent documented capability.
- –Prescription lens visualization is not clearly documented as a native module.
- –Retail teams need engineering resources for SDK integration and asset preparation.
- –Built-in try-on analytics and session recording are not clearly documented.
Best for: Fits when retailers have developers and need embedded eyewear AR inside custom mobile or desktop applications.
Kivisense
vertical specialistWebAR try-on platform supporting eyewear, jewelry, and footwear with no-app-required browser delivery.
White-label product-page widget that keeps eyewear visualization inside branded storefront pages without redirecting shoppers.
Kivisense targets online eyewear retailers with a browser-first try-on experience embedded directly into storefront product pages. Its core offering combines webcam-based try-on, mobile access, and frame catalog management without requiring a separate consumer app. Public product information provides less detail about native SDK coverage, automation depth, analytics, and administrative controls than higher-ranked products.
- +Embeddable product-page widget keeps eyewear try-on inside the retail journey.
- +Webcam-based try-on works without requiring shoppers to install a native application.
- +Frame catalog presentation supports testing multiple products within one storefront experience.
- +Browser delivery reduces the deployment burden for smaller ecommerce teams.
- –Public documentation gives limited detail about SDK languages and developer tooling.
- –Prescription lens visualization and lens thickness rendering are not clearly documented.
- –Advanced analytics and try-on session reporting receive limited product detail.
- –Enterprise administration and access-control capabilities are not clearly specified.
Best for: Fits when eyewear retailers need an embedded browser experience with limited native-app development.
More related reading
Auglio
SMBVirtual try-on platform for eyewear, jewelry, and headwear with Shopify and WooCommerce integrations.
Customizable eyewear try-on widget that places camera-based fitting directly inside retailer product pages.
Auglio adds browser-based eyewear try-on to online stores through an embeddable widget. Customers can activate their camera, view frames on their face, and switch among catalog items without installing an app.
Configuration focuses on widget placement, branding, and frame management. The product offers less visible depth in APIs, native SDKs, automation, and governance controls than developer-focused competitors.
- +Embeddable widget supports eyewear try-on directly on product pages.
- +Browser access avoids requiring customers to install a mobile application.
- +Catalog-based frame selection keeps product discovery within the store experience.
- +Branding and placement controls support retailer-specific storefront presentation.
- –Public integration coverage provides limited evidence of a documented API or native SDK.
- –Advanced automation for catalog updates and frame SKU synchronization appears limited.
- –Developer controls for head tracking, rendering, and session data are not extensively documented.
- –Enterprise governance features such as RBAC and audit logs are not prominent.
Best for: Fits when retailers need a straightforward eyewear try-on widget embedded into existing product pages.
MirrAR
SMBVirtual try-on platform for eyewear and jewelry with real-time 3D rendering for e-commerce.
One AR program supports eyewear, jewelry, watches, and beauty product catalogs.
MirrAR serves eyewear retailers that need browser-based try-on alongside physical retail displays. MirrAR combines webcam-based try-on and mobile AR try-on with catalog-driven frame presentation, while also supporting jewelry, watches, and beauty categories.
Face tracking places frames on live camera feeds, and WebAR deployment avoids requiring a dedicated app for customer access. Public materials provide less detail on API coverage, asset schemas, administration, and session analytics than enterprise-focused eyewear vendors.
- +Supports eyewear, jewelry, watches, and beauty try-ons within one product ecosystem.
- +Offers browser access through WebAR deployment without a mandatory app download.
- +Includes in-store AR mirror experiences for assisted retail consultations.
- +Connects virtual try-on with product merchandising across multiple retail categories.
- –Public documentation gives limited detail on SDK, API, and catalog synchronization controls.
- –Eyewear-specific fit metrics such as pupillary distance calibration are not prominently documented.
- –Cross-category breadth can add catalog governance work for retailers selling only frames.
- –Published materials provide limited evidence of advanced prescription lens visualization.
Best for: Fits when retailers need multi-category AR merchandising across web, mobile, and assisted in-store experiences.
How to Choose the Right virtual eyewear try on software
This guide compares Wannaby, Fittingbox, Ditto, Perfect Corp, Banuba, DeepAR, Visage Technologies, Kivisense, Auglio, and MirrAR for virtual eyewear try on software. Wannaby ranks first for branded browser and mobile eyewear experiences, while Fittingbox, Ditto, Perfect Corp, Banuba, and the remaining tools differ in asset management, fit guidance, SDK coverage, and storefront deployment.
The comparison emphasizes frame catalog integration, 3D asset workflows, facial tracking, API and SDK access, deployment control, and support for optical retail processes. Kivisense and Auglio focus on embedded product-page widgets, while Visage Technologies and Banuba target developer-led application integration.
How Virtual Eyewear Try On Software Handles Frames, Faces, and Retail Interfaces
Virtual eyewear try on software places digital frame assets over a shopper’s live camera feed or uploaded image. Face tracking aligns the frame with head movement, while product-page integrations connect each visualization to a specific frame SKU.
Wannaby delivers branded browser and mobile try-on through Wanna Glasses for fashion-frame discovery. Fittingbox adds managed 3D frame digitization, converting eyewear references into assets prepared for try-on across ecommerce and mobile experiences.
Evaluation Criteria for Virtual Eyewear Try On Software
Frame asset production determines how quickly a retailer can publish new eyewear SKUs. Fit guidance, facial tracking, and product-page placement determine how the try-on experience supports frame selection.
Frame asset production and catalog readiness
Fittingbox converts eyewear references into managed 3D assets for ecommerce and mobile use. Ditto connects 3D product assets with optical retail workflows, but large catalogs require structured asset preparation.
Browser and mobile deployment
Wannaby delivers branded try-on through browser and mobile experiences with Wanna Glasses. Kivisense keeps visualization inside product pages through an embedded widget without requiring native app development.
Fit guidance and frame selection
Ditto combines facial measurements with frame-specific fit guidance. Perfect Corp adds facial analysis and AI-based frame recommendations instead of limiting the experience to visual overlay.
SDK integration and application control
Banuba provides native iOS, Android, and web SDKs through Effect Player. Visage Technologies provides cross-platform libraries for custom retailer applications and product interfaces.
Product-page widget coverage
Kivisense provides a white-label widget that places camera-based visualization within branded storefront pages. Auglio offers a similar product-page widget but provides less documented API and native SDK coverage.
Catalog synchronization and automation
DeepAR requires retailers to build frame SKU selection and catalog synchronization separately from its visual authoring tools. MirrAR also provides limited public detail about catalog controls across its eyewear, jewelry, watches, and beauty categories.
Choose by Asset Operations, Integration Depth, and Retail Workflow
The correct product depends on whether the retailer needs a managed catalog service, a developer toolkit, or a ready-made storefront widget. Fittingbox and Ditto reduce parts of the asset and optical workflow, while Banuba, DeepAR, and Visage Technologies provide greater application-level control.
Choose managed assets or retailer-controlled production
Select Fittingbox when a managed 3D digitization service should handle conversion from eyewear references. Select Banuba, DeepAR, or Visage Technologies when internal developers and content teams will prepare and maintain frame assets.
Choose a storefront widget or an embedded application experience
Select Kivisense or Auglio when try-on must appear directly on existing product pages with browser camera access. Select Banuba or Visage Technologies when the experience must live inside a native retailer application or a custom desktop interface.
Choose visual discovery or optical fit guidance
Select Wannaby when branded fashion-frame discovery is the primary retail objective. Select Ditto or Perfect Corp when facial measurements, frame recommendations, or assisted-selling workflows matter alongside the visual preview.
Choose reusable effects or catalog-connected retail logic
Select Banuba when reusable Effect Player effects need to run across several integrated applications. Select Ditto or Perfect Corp when frame selection, product records, and recommendation logic need closer connection to optical commerce workflows.
Check prescription and measurement requirements before deployment
Treat prescription lens visualization as a separate validation point because Wannaby, Perfect Corp, Visage Technologies, and Kivisense do not clearly document it as a core capability. Treat pupillary-distance measurement as a separate requirement because Wannaby and MirrAR do not prominently position it as a primary workflow.
Retail Teams That Benefit From Virtual Eyewear Try On Software
Eyewear retailers gain the most value when try-on is connected to frame merchandising, product records, and the customer path from discovery to selection. The suitable deployment model changes with catalog size, application ownership, and optical service requirements.
Fashion eyewear retailers
Wannaby supports branded browser and mobile experiences for fashion-frame discovery. Its Wanna Glasses framework suits retailers that prioritize branded shopping journeys over documented prescription workflows.
Optical retailers with structured frame catalogs
Ditto connects facial measurements and frame-specific guidance with optical retail and ecommerce workflows. Fittingbox suits retailers that need managed 3D asset creation for large product catalogs.
Retailers with application development teams
Banuba, DeepAR, and Visage Technologies provide SDK-based integration paths for native or custom applications. These tools suit teams that can manage frame assets, product selection logic, and application maintenance.
Retailers focused on product-page conversion paths
Kivisense and Auglio place camera-based try-on directly inside product pages. Their browser delivery avoids a mandatory native application for shoppers.
Multi-category commerce operators
MirrAR supports eyewear, jewelry, watches, and beauty try-ons within one product ecosystem. Its browser delivery also supports WebAR merchandising without requiring an app download.
Common Virtual Eyewear Try On Software Selection Mistakes
A visual overlay does not confirm optical fit, prescription support, or catalog automation. Retail teams need to separate the shopper-facing preview from the asset, product-data, and measurement workflows behind it.
Treating every frame preview as prescription-ready
Verify prescription lens visualization and lens thickness rendering as separate capabilities. Kivisense and Wannaby do not clearly document these workflows as core functions.
Ignoring frame asset preparation for large catalogs
Map the production process before selecting a platform. Fittingbox manages 3D frame digitization, while Ditto, Banuba, and DeepAR require structured retailer-side preparation for larger collections.
Selecting a widget when the roadmap requires native application integration
Use Kivisense or Auglio for embedded product pages. Use Banuba, DeepAR, or Visage Technologies when iOS, Android, or custom application integration is required.
Assuming try-on includes catalog synchronization
Test the connection between frame SKUs, product pages, inventory records, and visual assets. DeepAR and Auglio leave more of this product-selection and update logic to the retailer.
How We Selected and Ranked These Tools
We evaluated Wannaby, Fittingbox, Ditto, Perfect Corp, Banuba, DeepAR, Visage Technologies, Kivisense, Auglio, and MirrAR against eyewear-specific features, integration options, deployment paths, asset workflows, and optical retail coverage. Features received 40% of the ranking, while ease of use received 30% and value received 30%.
We assessed browser delivery, mobile support, SDK and API access, frame catalog handling, facial analysis, and product-page integration within the feature score. Wannaby ranked first because Wanna Glasses combines branded browser and mobile eyewear journeys with a reusable AR commerce framework and strong ease-of-use results.
Frequently Asked Questions About virtual eyewear try on software
What distinguishes browser widgets from SDK-based virtual eyewear try-on software?
How do virtual eyewear platforms connect frame catalogs to ecommerce workflows?
When does a retailer need a native SDK instead of WebAR?
Which tools support assisted selling or in-store eyewear consultations?
What breaks when a retailer adds prescription lens behavior to a frame try-on experience?
How do teams create or prepare 3D assets for virtual eyewear try-on?
What tradeoff separates multi-category AR platforms from eyewear-focused systems?
Which security and administration capabilities need technical validation before an enterprise rollout?
How should a retailer choose between managed 3D catalog services and effect-authoring tools?
Conclusion
After evaluating 10 tools, Wannaby stands out as our overall top pick — it scored highest across our combined criteria of features, ease of use, and value, which is why it sits at #1 in the rankings above.
Use the comparison table and detailed reviews above to validate the fit against your own requirements before committing to a tool.
Tools reviewed
Primary sources checked during evaluation.
Referenced in the comparison table and product reviews above.
Keep exploring
Comparing two specific tools?
Software Alternatives
See head-to-head software comparisons with feature breakdowns, pricing, and our recommendation for each use case.
Explore software alternatives→Need a personal recommendation?
Software Advisory Service
Skip months of vendor evaluation. Our analysts recommend the right tool for your business in 2–4 weeks.
Talk to an analyst →FOR SOFTWARE VENDORS
Not on this list? Let’s fix that.
Our best-of pages are how many teams discover and compare tools in this space. If you think your product belongs in this lineup, we’d like to hear from you—we’ll walk you through fit and what an editorial entry looks like.
Apply for a ListingWHAT THIS INCLUDES
Where buyers compare
Readers come to these pages to shortlist software—your product shows up in that moment, not in a random sidebar.
Editorial write-up
We describe your product in our own words and check the facts before anything goes live.
On-page brand presence
You appear in the roundup the same way as other tools we cover: name, positioning, and a clear next step for readers who want to learn more.
Kept up to date
We refresh lists on a regular rhythm so the category page stays useful as products and pricing change.