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AI SKIN ANALYSIS API
API integration for brands seeking a cost-effective, developer-friendly solution
15 cosmetic skin concerns and skin age, including spots, wrinkles, pores, moisture, redness, oiliness, acne, texture, dark circles, eyebags, firmness, droopy upper eyelid, droopy lower eyelid, radiance, tear trough, and skin type.
Curious how this compares to a full skin-type breakdown? See our dedicated AI Skin Type Test, which focuses specifically on classifying oily, dry, combination, and sensitive skin across the T-zone and U-zone.
The skin technology is built using over 70,000 medical-grade images, leveraging cutting-edge visual computing techniques for unparalleled accuracy in detecting cosmetic skin concerns.
For a deeper technical breakdown of how the underlying model works and how it benchmarks against physician assessments, see AI Skin Analysis Machine: How It Works, How Accurate It Is, and What to Look For in 2026 — including the independent report from Dr. Steven R. Feldman, Professor of Dermatology at Wake Forest School of Medicine.
By scanning and analyzing product data — such as names, descriptions, images, and categories — the AI skincare routine generator builds a personalized skincare regimen based on unique needs.
Builds personalized skincare routines based on each client's unique skin type, concerns, and external factors like climate — delivering precision-driven recommendations at scale.
Interested in leveling up your business?
“My Skin by Cetaphil, powered by Perfect Corp. AI, helps us grow our market share and grow our overall business by enabling more people to fall in love with Cetaphil.”
“Consumers have increased their knowledge of skincare and skin chemistry, so the game stakes have gotten higher. Our Perfect Corp. generative AI imaging places us ahead of the game.”
“The numbers speak for themselves … The 35% increase in AI-recommended product sales highlights the power of personalization in retail.”
No. Perfect Corp.'s AI Skin Health Detector analyzes cosmetic skin concerns — like wrinkles, spots, pores, oiliness, and hydration — to power personalized skincare recommendations for brands and retailers. It does not diagnose skin diseases or screen for skin cancer. For medical-grade dermatological screening, please consult a licensed dermatologist.
Perfect Corp.'s AI skin analysis has demonstrated a 95% test-retest reliability rate and over 80% correlation with physician evaluations for cosmetic skin concerns, based on a model trained on 70,000+ medical-grade images. See the full methodology in our 2026 AI Skin Analysis Machine guide.
The Skin Health Detector gives a broad, 15-point cosmetic skin report (spots, wrinkles, pores, moisture, and more). The AI Skin Type Test is a more focused tool that classifies skin specifically into oily, dry, combination, sensitive, and normal categories across the T-zone and U-zone. Many brands use both together — a full report plus a quick type classification for product matching.
Yes. Perfect Corp. offers this as a hosted web demo, embeddable SDK, or full Skin Analysis API for developers, so brands can launch a branded skin health experience without building the underlying AI from scratch.
Skincare brands, medispas, dermatology-adjacent retailers, and beauty e-commerce platforms use this technology to replace generic quizzes with objective, camera-based skin scans. Brands like Cetaphil and RéVive use it to power personalized product recommendations at scale — see more in AI Skin Analysis for E-Commerce Beauty Brands: A 2026 Operator's Guide.
Perfect Corp.'s AI is built for cosmetic assessment and skincare personalization. Clinics offering both cosmetic and medical dermatology services typically use this technology for the cosmetic side of their practice — patient intake, product matching, and treatment visualization — alongside separate clinical tools for diagnosis. Learn more in AI Skin Analysis for Beauty Salons: The Complete Guide.