Banuba Virtual Try-On Platform VS Codegres.org

Banuba Virtual Try-On Platform's answer

Banuba has been building face tracking since 2016, originally as an AR SDK that other companies embedded into social, streaming and video apps. Retailers kept asking the same question: if the technology can put a mask on a face in real time, can it put our lipstick or our frames there instead, accurately enough to sell from?

Virtual try-on is the answer to that, built on the same computer vision core rather than on a separate stack. The direction of the work since then has been away from technology and toward the people who actually need it: catalog digitization moved from a professional 3D pipeline to AI that works from ordinary photos, and the product split into a developer integration, a no-code platform and a Shopify app, so a merchant with no engineering team can launch on their own. Banuba has been fully independent since a management buyout in 2022 and belongs to no beauty or eyewear group.

Banuba Virtual Try-On Platform's answer

Three things most try-on vendors do not combine. First, digitization is on us: our AI builds a 3D eyewear model from ordinary product photos taken at any angle, with no studio shoot, so the asset bill never scales with your catalog. Second, one integration covers makeup, skincare, eyewear, contact lenses, hair color, jewelry and headwear, instead of one vendor per category. Third, it all runs in the shopper's browser on their own device, with no app to install and no customer images sent anywhere.

On top of that sit the pieces that matter category by category: pupillary distance measurement from the camera for prescription eyewear, AI face analysis for skin tone, eye and hair color, and skin diagnostics that connect a result to the products that address it.

Banuba Virtual Try-On Platform's answer

Because you can start at the level that matches your team and move up without changing vendor. A Shopify merchant installs the app and is live the same day. A brand without a dev team uploads a catalog to the no-code platform and shares a try-on link or QR code. An enterprise retailer gets try-on built into its own product page, and a physical Magic Mirror in stores if the journey continues offline. Same face tracking underneath all three.

Two more reasons that come up in every evaluation. We are independent, owned by no cosmetics, eyewear or retail group, so competing brands can use the same infrastructure without handing data to a rival. And catalog digitization is included rather than quoted as a separate project, which is usually the line item that kills a try-on pilot before it launches.

Banuba Virtual Try-On Platform's answer

Online retailers and brands who already have traffic and want more of it to convert. Beauty and cosmetics, eyewear and sunglasses, contact lenses, hair color, jewelry and accessories.

In practice they arrive in three shapes. Small and mid-size Shopify merchants who need try-on running this week without a developer. Brands with a catalog and a marketing team but no in-house AR capability, who use the no-code platform and the hosted link. And enterprise retailers and retail chains who need try-on embedded in their own product page, their own app, and sometimes a mirror in the store. The people who own the decision are usually ecommerce and digital leads measured on conversion, average order value and return rate.

Banuba Virtual Try-On Platform's answer

Proprietary computer vision developed in house: neural networks for face detection, tracking and segmentation, a 3D face mesh with facial landmarks, and rendering of makeup shades, textures and 3D objects anchored to the face in real time.

On the web it ships as a JavaScript widget delivered over CDN, running client-side in the shopper's browser with no plugin and no app. Warranted browsers are the latest two versions of Safari and the latest five of Chrome, Edge, Opera and Samsung Internet, on desktop and mobile. For in-app experiences there are native iOS and Android SDKs plus a WebView path. Store integrations cover Shopify, WooCommerce, WordPress, Tiendanube and more. The AI layer adds automated product digitization, face analysis and seasonal color analysis, and skin diagnostics.

Banuba Virtual Try-On Platform's answer

Published examples from the beauty side of the platform:

• Océane, Brazilian beauty brand: add-to-cart on covered categories went from 3% to 32%, and the products included in the try-on sold out.
• Boca Rosa, influencer cosmetics brand in Brazil: a four-hour live shopping event with try-on generated $900K in revenue, 64,000 items sold, 1.7 million try-on sessions and 1.1 million viewers.
• Smitten Cosmetics, Australian manufacturer: used try-on as a digital sampling catalog to expand B2B without physical samples, adding 50 partner salons in three months and opening the UAE and the Philippines.
• Looké, Indonesian cosmetics: the first virtual try-on app in the country, over 55,000 installs in its first year.

Across beauty deployments the platform's typical results are add-to-cart up 600 to 1000%, average order value up around 30%, and returns down as much as 60%. Banuba's wider technology stack is also used by companies including Samsung, Gucci and RingCentral.