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Body Analysis

Body Analysis:
AI skin measurement for the full body

Body Analysis extends Haut.AI's clinically grounded skin technology beyond the face. From a single photo, it measures body skin objectively, from face to feet, and matches every consumer to the right products from your catalog.

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Hand with an AI mesh overlay showing a body skin texture score and a matching product recommendation

Haut.AI powers skin and hair analysis for leading global brands

100+ global brands on the Haut.AI platform
18 peer-reviewed publications
8+ years of applied research
The problem

Body is 90% of your consumer's skin.Brands measure none of it.

Facial skin gets scores, tracking, and personalized routines. Below the neck, brands are still recommending without data. Consumers feel it: 34% say they do not know which bodycare products to use. Body Analysis gives you the missing measurement layer, so every recommendation has a reason behind it.

The solution

From photo to personalized bodycare in seconds

Results in seconds
1

Capture

The consumer photographs any body area with a standard smartphone, or your team uploads high-resolution clinical images in the Haut.AI platform.

No hardware, no dedicated capture device, no separate app to install.

Arm on a table with a guided capture frame highlighting the body area being analyzed
Four body metric cards with detection maps on an arm: lines, redness, texture, and barrier impairment scores
2

Analyze

A single segmentation model covers every body region: face, neck, torso, arms, hands, legs, and feet. The AI scores the area across multiple body metrics and returns results in seconds, with detection maps that show exactly what was found and where.

3

Recommend

Each profile maps to products from your own catalog, surfaced as personalized recommendations and routines. A commerce surface, not just a report.

Personalized bodycare routine with product recommendations: body wash and body lotion steps with prices

One system. Face to feet. All skin tones.

Body Analysis is trained on 100,000+ skin images across multiple body parts and validated across all six Fitzpatrick skin types and genders. One unified model covers every body region, with no fragmented, body-part-specific systems. It runs on the same platform and recommendation engine as Haut.AI's AI Skin Analysis, so your team gets one technology partner for face and body.

Trained on 100,000+ body skin images 6 Fitzpatrick skin types One segmentation model

Recommendations from your catalog, not a generic database

The recommendation engine matches each consumer's measured body metrics to your own products, from body lotions and SPF to treatments and exfoliators. Product recommendations are what consumers trust AI with most, ahead of routines, ingredient advice, and progress tracking, in Haut.AI's survey of 1,238 women. Body Analysis turns that trust into measurable sales, in your brand's voice.

Book a demo
Illustrative bodycare recommendation grid: body wash and body lotion steps matched to a measured body skin profile
New consumer research

Bodycare is mainstream. Personalization is not yet.

Haut.AI surveyed 1,238 U.S. women.
The findings define the bodycare opportunity.

81%
use bodycare products regularly
43%
have changed plans because of body skin concerns
34%
do not know what products to use
36%
say their bodycare routines involve too many steps
74%
believe AI could make their routine easier or more effective
32%
already use AI for skincare or bodycare

Consumers are engaged, concerned, and open to AI guidance.
The brands that move from generic to precise will capture that demand.

Download the Bodycare Consumer Trends Report →

Objective skin data drives sales

Use of Haut.AI's technology is associated with:
Up to
56%
higher average order value
·
higher conversion
·
higher email open rates

Beauty e-commerce converts at around 3%, with cart abandonment near 81% (Statista).
Personalization is how brands beat those numbers: 91% of consumers are more likely to shop with brands that provide relevant, personalized offers (Accenture).

“Body skin is just as complex as facial skin, yet while the beauty industry has developed sophisticated systems for facial skin analysis and recommendations, brands have lacked the infrastructure needed to deliver the same level of intelligence and personalization for bodycare. Body Analysis changes that by providing objective, quantitative skin data across the full body through a unified AI model, enabling more precise product recommendations, better consumer outcomes, and stronger long-term trust in the category.”

Anastasia Georgievskaya CEO & Co-Founder, Haut.AI
See what this could do for your brand →
For R&D and clinical teams

Standardized body skin measurement at research scale

Body skin studies are limited by on-site capacity and cohort size, and by grading panels whose agreement varies from grader to grader. Body Analysis supports high-resolution clinical images alongside consumer mobile photos, returning consistent scores and detection maps for every body region.

That gives research teams a standardized basis for measuring body skin across cohorts far larger than 100 participants a typical on-site study allows, on infrastructure validated across all six Fitzpatrick skin types.

Talk to our team →
Aggregate body analytics
Illustrative data · sample dataset
Subjects 3,412 unique IDs in dataset
Images 20,470 body photos analyzed
Fitzpatrick skin type
Distribution across dataset
9%
18%
24%
21%
16%
12%
I
II
III
IV
V
VI
Body regions analyzed
Captures by region
Arms
4,860
Legs
4,290
Torso
3,675
Hands
3,070
Neck
2,460
Feet
2,115

See your own skin the way your consumers will

Analyze your own hand or arm right in the browser, no signup. Then book a demo and we'll show you what Body Analysis looks like with your products, your branding, and your consumers.

Frequently asked questions

What is AI body skin analysis?
AI body skin analysis measures visible body skin attributes such as lines, redness, texture, skintone, breakouts, and pigmentation from a photo, replacing guesswork with objective, quantitative measurement. Haut.AI's Body Analysis covers the full body, from face to feet, through a single segmentation model, and generates personalized product recommendations from a brand's own catalog.
Why isn't it enough for consumers to choose bodycare products themselves?
Consumers are choosing bodycare products without any objective information about their skin. In Haut.AI's survey of 1,238 U.S. women, 34% said they do not know which products to use. AI body skin analysis measures visible skin attributes from a photo, so recommendations are based on what the skin actually shows rather than on trial and error.
How does AI body skin analysis compare to a professional assessment?
AI body skin analysis applies the same evaluation criteria to every image. A human expert assessing skin by eye produces results that vary between assessors and over time; an automated score does not. Body Analysis is built to support and extend professional assessment, giving experts a fast, standardized input.
Why not use a general AI or large language model (LLM) to analyze body skin?
General-purpose large language models can't accurately analyze body skin because they aren't built for specialized visual measurement. Scoring attributes like uniformness, pigmentation, and redness across different body regions requires computer-vision models trained specifically on body skin data. Haut.AI's Body Analysis uses a purpose-built segmentation model trained on more than 100,000 body skin images, which general LLMs and generic vision tools can't perform reliably.
Which body regions does it cover?
Body Analysis covers the face, neck, torso, arms, hands, legs, and feet, all analyzed through a single segmentation model rather than separate body-part-specific systems.
Does it work across different skin tones?
Yes. Body Analysis is validated across all six Fitzpatrick skin types (FST1 to FST6) and across genders as part of Haut.AI's fairness-by-design approach.
Do consumers need to install an app or use special hardware?
No. Body Analysis works from a standard smartphone photo. It also supports high-resolution clinical images for research and in-clinic use. No devices or installs required.
How is consumer data handled?
Haut.AI follows privacy-by-design principles with GDPR-aligned data handling. Brands own their consumer relationship; Haut.AI provides the analysis infrastructure.
We already use Haut.AI for facial skin analysis. What does adding body involve?
Body Analysis runs on the same platform and recommendation engine as AI Skin Analysis, extended to the full body. Book a demo and we'll walk through what adding body analysis would involve for your team.

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