The Best White Label Skin Analysis Technology
What white label skin analysis means
White label skin analysis is technology you run under your own brand. The shopper sees your name and your products, while a vendor provides the engine behind the scenes through an API or SDK. It lets a brand, retailer or clinic offer a polished skin scan without building the computer vision itself.
The market has several capable providers. This is an objective read on each, measured against the things that actually decide results, and where Oyster lands on them.
| What to evaluate | Oyster | Other tools (what to check) |
|---|---|---|
| Accuracy across skin tones | Built and measured across Fitzpatrick I–VI, accurate on every tone with proven performance on deeper skin | Confirm published accuracy on Fitzpatrick V–VI, not just an overall number |
| Markets & languages | Built in Africa, live in 29 countries across Africa, Europe, the Middle East, Asia and the Americas | Check coverage and language support for your markets |
| Deployment | In-store kiosk, web embed, app widget, plus API and SDK | Check which surfaces are supported and the integration effort |
| Time to launch | Live in under two hours with the widget or API | Ask for a realistic go-live timeline |
| Commerce built in | Scan → recommendation → cart → Oyster Pay in one flow | Check whether recommendations connect to checkout or stop at analysis |
| Data & privacy | ISO 27001 certified; no individual identity exposed in analytics | Confirm security certification and data residency |
| Pricing model | Usage-based, priced for the markets it serves | Compare per-scan or licence cost at your volume |
How to evaluate a provider, objectively
Judge every vendor on the same five questions. These are the ones that move revenue, not the ones that photograph well in a deck.
- Accuracy on every skin tone. Not an overall average, but measured performance across the full Fitzpatrick range, including Fitzpatrick V and VI.
- Breadth of what it can actually detect. How many real skin concerns the engine recognises, and whether that includes the conditions that present differently on deeper skin.
- What happens after the score. Whether the scan carries the shopper into a matched purchase and a profile that remembers them, or stops at a number.
- How cleanly it becomes yours, and what happens to the data.
- Whether it fits your market, your catalogue and your budget.
The providers, objectively
Perfect Corp (YouCam)
Publicly listed and widely adopted, known for a broad augmented reality try on suite with skin analysis alongside it, delivered through a mature SDK and API. Strongest where virtual try on is the main event.
Haut.AI
A skin analysis first platform delivered as a no code app or an API, detecting a large set of skin metrics and anonymising images before processing. It states coverage across all Fitzpatrick types. Aimed at research and claims teams that want a detailed readout.
ModiFace
Part of L'Oreal, ModiFace pairs skin analysis with augmented reality try on across many platforms. A fit for brands that want AR backed by a large parent company.
Revieve
An enterprise personalization platform spanning skincare, makeup and haircare, with analysis and guidance deployable under a partner's brand. A fit when you want one personalization layer across many beauty categories.
Orbo AI
Skin analysis, virtual makeup and an in store smart mirror, shipped as a lightweight SDK and API. A practical fit for hardware led in store setups on a short build.
GlamAR
A browser based skin analysis API returning customer visible scores. A fit for a fast, lightweight web score embedded on a product page.
Where Oyster leads
Run the same five questions against Oyster and it answers all five in one platform. That is the difference.
- Accuracy on every tone, measured. Oyster is built and measured across the full Fitzpatrick range and holds its accuracy on Fitzpatrick V and VI, the tones most datasets under-represent. It calls this the melanin moat, and it is a measured result rather than a marketing line.
- The widest concern taxonomy in the category. Oyster's engine is mapped to a taxonomy of over 4,500 named skin conditions across 16 dermatology domains, including the tropical and deep skin presentations that standard Western lists leave out. See how Oyster tracks skin concerns.
- Commerce built in. A scan flows straight to the right products a partner sells, into cart and Oyster Pay, so analysis becomes a basket rather than a number.
- A skin aware CRM. Every result is written to a profile that remembers skin over time, so the next visit starts smarter and the shopper comes back.
- A human in the loop. A qualified aesthetician can review and sign off on results, so clinics and pharmacies keep clinical trust.
Oyster is AI infrastructure for beauty, built in Africa and live in 29 countries across Africa, Europe, the Middle East, Asia and the Americas. See it in our customer stories and partner analytics.
How to choose
Start from the five questions, not the feature list. If you only need one piece, several tools fit well. Perfect Corp or ModiFace if augmented reality try on is the point. Revieve if you want one personalization layer across many beauty categories. Orbo AI for a hardware led in store setup on a short build. GlamAR for a quick browser score. Haut.AI if a research readout is the goal.
If you need all five together, accuracy on every tone, real concern breadth, commerce, a CRM and clinical trust in one system that reads your customers and turns that into measurable revenue, that is the whole of what Oyster was built to do. Pilot two on your own catalogue and let the numbers decide. See pricing or book a demo.
Frequently asked
White label skin analysis is skin scanning technology that runs under your own brand. A vendor provides the AI engine through an API or SDK, and the shopper sees your name, your interface and your products. It lets brands, retailers and clinics offer a skin scan without building the computer vision themselves.
It depends on what you need, but on the full checklist that decides results, accuracy across every skin tone, breadth of concerns detected, commerce and a CRM in one platform, Oyster is the most complete. Perfect Corp and ModiFace lead on augmented reality try on, Haut.AI on a research readout, Revieve on multi category personalization, Orbo AI on in store hardware, and GlamAR on a fast browser score. If you need one of those pieces, they fit well. If you need all of them together, Oyster is built for exactly that.
Oyster is engineered and measured across the full Fitzpatrick range and holds its accuracy on the deeper Fitzpatrick V and VI tones, an approach it calls the melanin moat. Because research shows darker tones have historically been under-represented in skin datasets, ask any vendor for measured performance on deep skin, not just an overall average.
It varies by provider. Many return a skin readout and product suggestions and stop there. Oyster is designed as commerce infrastructure, so a scan flows directly to the right products a partner sells, into cart and Oyster Pay, and the result is written to a CRM that remembers the customer. To choose, pilot two options on your own catalogue and compare accuracy, conversion and repeat purchase.
See what skin intelligence does for your business.
Oyster reads skin accurately on every tone and turns it into the right recommendation.