How the Dark Circle Analyzer Works
From selfie to skincare match in three AI-powered steps—no dermatologist appointment needed.
Step 1 — Snap or Upload
Shoppers snap a selfie or upload a photo. No filters, no ring light, no special hardware required.
Step 2 — AI Detects the Dark Circle Type
The engine scores the under-eye zone, eye bags, and tear trough. Results are displayed intuitively with clear outlines and direct area mapping.
Step 3 — Get a Matched Product Routine
Shoppers instantly see the products in your catalog built for their specific dark circle type. No dead-end quiz results.
Not All Dark Circles Are Equal
Pigmented: Flags excess melanin so shoppers see brightening, vitamin C, and SPF-led picks.
Vascular: Detects visible blood vessels and poor circulation, surfacing caffeine and retinol eye creams.
Structural: Reads volume loss and hollowing, pointing to peptide, collagen-boosting, or filler-adjacent products.
Mixed: Combines signals to recommend a layered routine instead of a one-size-fits-all serum.
Turn Analysis Into Add-to-Cart
Personalized Match: Every result links directly to the SKUs in your own catalog, not generic advice.
Higher AOV: Shoppers who get a matched routine add more than one product per visit.
Fewer Returns: Recommending the right formula for the right dark circle type cuts down on mismatched purchases.
Built-In Cross-Sell: Surface complementary serums, patches, and tools alongside the primary recommendation.
Backed by Real Skin Science
Dermatologist-Graded Training Data: Trained on 70,000+ medical-grade images for under-eye and skin concern detection.
Clinically Validated: Up to 95% test-retest reliability and over 80% correlation with physician evaluation in independent studies.
15+ Skin Parameters: Dark circles are read alongside eyebags, redness, texture, and 12 other concerns in a single scan.
No Overclaiming: Every score is presented as an estimate, not a diagnosis, built for retail, not medicine.
Built for Every Channel
Web Widget: Drop the analyzer into any product or landing page in days, not months.
In-App SDK: Bring the same AI engine natively into iOS and Android apps.
API Access: Integrate dark circle detection directly into your own consultation flow or CRM.
Proven at Scale: Already powering personalized skin experiences for 800+ beauty brands worldwide.
Privacy by Design
100% Privacy Protection: Photos are processed for analysis only and are not used to identify shoppers.
Instant Results: Shoppers get a result in seconds without creating an account.
Consent-Ready Flow: Built to slot into your brand's existing privacy and consent policies.
Talk to our team about integrating the Dark Circle Analyzer into your app, site, or in-store kiosk.
A dark circle analyzer is an AI tool that scans a selfie or photo to detect and classify under-eye dark circles, so shoppers understand what's actually causing the shadow before buying a fix.
Pigmented circles come from excess melanin, vascular circles from visible blood vessels and poor circulation, and structural circles from volume loss under the eye.
Perfect Corp's skin analysis engine is trained on 70,000+ medical-grade images and has demonstrated up to 95% test-retest reliability.
Yes. The analyzer is available as a web widget, in-app SDK, or API, letting brands connect the detected dark circle type directly to their own product catalog and recommendation logic.
Consumers can try the analyzer free through Perfect Corp's showcase experience. Brands that want to embed it into their own storefront or app can contact sales for licensing and integration options.