Face Analysis 3.0 transforms a simple photo into a scientific skin map, measuring the nuances of color, texture, and structure with the accuracy of a clinical instrument — no lab required.
Lines Great
Presence of severe deep lines
Score37/100
Grade3/5
Forehead lines
Fine lines
Nasolabial wrinkle
Grade2/5
Glabellar lines
Fine lines
Deep lines
Grade3/5
Number of lines2
Number of deep lines2
Number of fine lines0
Length of lines57
Length of fine lines0
Marionette lines No concern found
Grade1/5
Pigmentation Great
Skin tone is even with minimal to no visible pigmented spots
Face Analysis 3.0 supports two clinically grounded scoring systems, paired with pixel-level masks — turning skin analysis into results that are measurable, interpretable, and transparent.
Prominent wrinkle that is deeper and wider with a visible base
Grade 4
Deep, clearly defined wrinkle with raised borders on both sides (slightly or moderately pronounced)
Grade 5
Deep wrinkle with prominent raised borders, creating the impression of "carved" skin in this area
Score 98/100
No visible wrinkles
Score 79/100
Fine, shallow barely noticeable wrinkles
Score 64/100
Prominent wrinkle that is deeper and wider with a visible base
Score 46/100
Deep, clearly defined wrinkle with raised borders on both sides (slightly or moderately pronounced)
Score 27/100
Deep wrinkle with prominent raised borders, creating the impression of "carved" skin in this area
Grade 1
No visible wrinkles
Grade 1
Fine, shallow barely noticeable wrinkles
Grade 1
Prominent wrinkle that is deeper and wider with a visible base
Grade 1
Deep, clearly defined wrinkle with raised borders on both sides (slightly or moderately pronounced)
Grade 1
Deep wrinkle with prominent raised borders, creating the impression of "carved" skin in this area
Face 180
Clinically consistent from every angle
Face 180 combines front, left, and right captures into one unified analysis — eliminating blind spots, increasing stability by up to 30%, and producing results aligned with clinical standards.
Skin Atlas
Protecting identity with clinical integrity
Powered by Skin Atlas, our patented tech anonymizes photos by removing identifiers while preserving key skin data — ensuring full privacy.
Advanced color correction standardizes lighting, so results reflect real skin changes, not photo conditions
Face Analysis 3.0 brings clinical precision to every corner of the skincare ecosystem — powering research, personal diagnostics, and intelligent commerce.
E-commerce personalization
Match products to real skin needs with measurable precision
Clinical and R&D studies
Generate reproducible, quantifiable data across trials
What makes Face Analysis 3.0 different from other AI skin analysis systems?
Face Analysis 3.0 is Haut.AI’s most advanced AI-driven skin assessment technology, designed to deliver clinical-grade precision from any image — whether captured in a lab or on a smartphone. It analyzes 29 measurable parameters (expanding to 40+) to detect and quantify features such as wrinkles, pigmentation, redness, pores, and texture with dermatologist-level accuracy. Built on validated dermatological standards, Face Analysis 3.0 transforms ordinary photos into clinically interpretable insights. It supports dual scoring systems — simplified Grades of Severity (1–5) and detailed Scores (0–100) — enabling results that are both explainable for consumers and scientifically robust for R&D and clinical studies. What sets Face Analysis 3.0 apart is its pixel-level detection masks, which make every result transparent by showing exactly where and how features were identified. Alongside scores, the system also delivers statistical measurements such as the number of pigmented spots, wrinkle length, or pore density, providing both visual evidence and precise data for tracking change over time.
How does Haut.AI ensure clinical-quality images for analysis?
When Face Analysis 3.0 is used on personal devices, it can be paired with our LIQA (Live Image Quality Assurance) module — a real-time camera guidance system that ensures every captured image meets clinical-quality standards. LIQA uses AI-driven prompts to guide users to the optimal pose, distance, and lighting before capture. It automatically detects glare, shadows, or improper framing and provides immediate feedback to correct them. Once the image is taken, an on-device AI filter automatically screens out blurry or low-resolution photos, ensuring that only analysis-ready images are sent to Face Analysis 3.0. When used together, LIQA and Face Analysis 3.0 make it possible to achieve clinic-grade imaging accuracy even from a smartphone or consumer camera — guaranteeing consistent, reproducible results regardless of device or environment.
What makes Haut.AI’s training data clinically valid?
Haut.AI’s models are trained on a robust dataset of over 3 million images, representing genuine diversity across age, gender, and skin tone. Each image is expert-annotated by dermatology and biomedical specialists, so every wrinkle, pore, and pigmentation pattern is defined clinically—not algorithmically guessed.
How are Face Analysis 3.0 algorithms validated against clinical standards?
Every model in Face Analysis 3.0 is benchmarked against established dermatological grading scales. Each AI-derived parameter—wrinkles, pigmentation, redness, and more—is calibrated to match the values that dermatologists assign in clinical evaluation, ensuring the system’s grades and scores align with recognized standards. To confirm reproducibility, algorithms are tested across diverse populations, lighting conditions, and imaging systems, ensuring they remain consistent and reliable in real-world use. Ongoing comparisons with expert assessments and partner lab data maintain accuracy over time, while peer-reviewed studies validate that Face Analysis 3.0 provides clinically comparable, explainable, and reproducible insights across research, clinical, and consumer environments.
How does Haut.AI contribute to scientific research?
Science is at the core of everything we build. Our research team actively publishes in dermatology, AI, and computer-vision conferences, with over 15 peer-reviewed research papers exploring topics like skin aging, advanced AI analysis, fairness in AI, and multimodal skin assessment. We translate this research into real-world technologies that set new standards for the beauty and wellness industry.
What makes Haut.AI’s approach to AI skin analysis unique?
By combining clinical rigor, explainable AI, and universal accessibility, Face Analysis 3.0 delivers the same level of analytical trust whether it’s used in a lab, app, or retail environment—making it the world’s most clinically grounded, versatile skin-analysis system.
Experience clinical-grade accuracy in action
We’ve redefined what skin analysis can achieve — merging science, design, and AI ethics into one reliable platform.