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Haut.AI

Clinical-grade AI skin analysis from a single selfie — SaaS and API

3.7/5MSVH Score · How we score
NationwideLast tested June 29, 2026

Our verdict

The strongest software-only skin-analysis platform in the category — dermatologist-validated, API-first and hardware-free — best as an embedded consult and retail tool, not a substitute for clinical imaging devices.

3.7/5
MSVH Score
Features & functionality
4.2
Ease of use & UX
4.0
Value & pricing transparency
3.3
Med-spa / aesthetics fit
3.5
Support & onboarding
3.6

About

Haut.AI is a clinical-grade AI skin-analysis software platform delivered as SaaS and API rather than as a hardware device. Its Face Analysis 3.0 engine evaluates 40+ skin parameters from a single selfie, trained on more than 3 million images and validated with dermatologists, and the company also offers SkinGPT for generative skin visualization.

Deployment is its differentiator: practices and brands can embed analysis via a no-code iframe or build on the full API, making Haut.AI the strongest option in this category for white-label and embedded experiences — on a booking site, in a consult tablet, or inside an e-commerce skincare flow. Its center of gravity leans toward beauty brands and e-commerce, but med spas can use it as a low-cost, hardware-free consultation and skincare-retail tool. SaaS/API tiers are quote-based.

Ideal customer

Med spas, skincare brands and e-commerce operators that want dermatologist-validated AI skin analysis embedded in their own website, app or consult flow — without buying imaging hardware.

Our Haut.AI review

Where Haut.AI fits

Haut.AI is the odd one out in the imaging category — deliberately. Instead of selling a camera or scanner, it sells clinical-grade AI skin analysis as software: SaaS dashboards, a no-code iframe you can drop into any website, and a full API for custom builds. Its Face Analysis 3.0 engine scores 40+ skin parameters from a single selfie, is trained on more than 3 million images, and has been validated with dermatologists. SkinGPT adds generative visualization of how skin conditions could evolve or improve.

The honest framing: Haut.AI's center of gravity is beauty brands and e-commerce — virtual skin consultations that drive product recommendations. But that same engine is genuinely usable in a med spa consult room, and for practices that want skin analysis without capital equipment, it is the cheapest credible way in.

What stands out

  • Zero hardware. Analysis runs from a standard selfie on a phone or tablet. There is no device to buy, mount, calibrate or service, which changes the economics of offering skin analysis at all.
  • Embedding and white-label. No competitor in this category comes close on deployment flexibility. The no-code iframe gets a branded skin-analysis experience onto your booking site in an afternoon; the API supports fully custom flows. Med spas with a skincare retail line can put analysis directly in the purchase path.
  • Clinical credibility. Dermatologist validation and a 3M+ image training corpus put it well above the novelty "skin quiz" widgets it superficially resembles.

Where it falls short

  • It is not a clinical imaging device. A selfie cannot deliver the geometric accuracy of a 3D scanner or the sub-surface detail of multi-spectral imaging. For objective wrinkle-depth or volume measurement across a treatment course, dedicated hardware like Cherry Imaging or Emage Medical remains the right tool.
  • Brand/e-commerce lean. Workflow features med spas expect — treatment-plan mapping, in-clinic consult scripting, EMR-adjacent documentation — are thinner than its analysis engine, because much of the roadmap serves consumer brands.
  • Quote-based SaaS. Despite being subscription software, tiers are not published; pricing scales with volume and deployment type, so get numbers in writing before designing a flow around it.

Who should choose it

Choose Haut.AI if you want skin analysis embedded in your own digital experience — website lead capture, consult tablets, or a skincare e-commerce line — and you value AI credibility over hardware precision. It earns a medium aesthetics-fit score: excellent as a consult and retail enabler, not a replacement for clinical imaging hardware. Many practices will sensibly run it alongside a capital device: Haut.AI on the website to attract and qualify clients, a scanner in the treatment room to prove outcomes.

By Med Spa Vendor Hub Editorial Team. Last reviewed June 29, 2026. Independent editorial review — how we score.

Key features

  • 40+ skin parameters from a single selfie
  • Face Analysis 3.0 trained on 3M+ images
  • Dermatologist-validated scoring
  • SkinGPT generative skin visualization
  • No-code iframe deployment
  • Full API for custom builds
  • White-label branding

Pricing

SaaS and API tiers are quote-based; pricing typically scales with analysis volume and deployment type (no-code iframe vs full API). No hardware cost, which keeps total cost of entry well below capital imaging devices — but get volume pricing in writing.

Custom quote

Quote-based

SaaS/API subscription

Tiered by analysis volume and deployment (no-code iframe or full API); white-label options priced per engagement.

Pricing is researched from public sources and verified periodically; confirm current rates with the vendor.

Services offered

AI skin analysis from a single selfie (40+ parameters)Face Analysis 3.0 engineSkinGPT generative skin visualizationNo-code iframe embeddingFull API for custom integrationWhite-label skin-analysis experiences

Strengths & limitations

Strengths

  • No hardware required — analysis runs from a standard selfie
  • Strongest embedding/white-label story in the category (iframe or full API)
  • Dermatologist-validated engine trained on 3M+ images lends clinical credibility
  • Low cost of entry versus capital imaging equipment

Potential limitations

  • Product center of gravity leans toward beauty brands and e-commerce rather than clinical med spa workflows
  • Selfie-based capture cannot match the geometric accuracy of dedicated 3D scanners
  • Quote-based tiers mean no published pricing despite the SaaS model
  • No US-based device service relationship — support is software-vendor style

Integrations

No-code iframe embedREST APIWhite-label web deployments

Sources

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