What is Color Analysis?
Perfect Corp’s AI Face Analyzer uses cutting-edge technology to perform fast and accurate personal color analysis, empowering brands to deliver personalized color recommendations for beauty, fashion, and hair. Whether you're suggesting the best hair color or outfit combination for skin tone and eye color or the most flattering lipstick, AI ensures every product recommendation feels tailor-made.
What is Personal Color Analysis
Personal color analysis is a method used to discover which colors of clothing, makeup, and hair tones best suit a person’s natural features—such as their skin tone, eye color, and hair color. The goal is to identify a color palette for the face that enhances natural beauty, adds radiance, and boosts confidence. With the help of AI, this once manual process becomes scalable and seamless.
Two Ways to Do Color Analysis:
Traditional Personal Color Analysis – Typically done in person by a consultant using physical swatches to evaluate undertones and features in natural light.
AI-Powered Personal Color Analysis – Uses artificial intelligence and computer vision to evaluate facial features and skin tone, matching users to their ideal personal color palette. This modern, fast, and accessible method is also known as AI color analysis or color analysis online.
Personal Color Analysis in Beauty and Fashion Brands
Across industries like beauty, retail, and fashion, personal color analysis is used to recommend the most flattering shades based on skin tone, eye color, and hair. This helps suggest the best hair color for skin tone and face shape, as well as ideal makeup and clothing colors. With AI color analysis, businesses can now offer this expertise online, boosting customer satisfaction, minimizing returns, and driving engagement with smarter, personalized color experiences.
How It Works
Scan the Face
Users can adjust their position as prompted or upload a clear, front-facing photo in good lighting to begin the analysis. Try online demo.
AI Analysis
The Face Analyzer examines 70+ facial attributes—including skin tone, lip color, and eye color—using advanced AI color analysis technology.
Color Palette Recommendation
Based on the analysis, the system generates a personalized color palette that harmonizes with the individual’s feature’s colors.
AI personal color analysis uses artificial intelligence and computer vision to assess a customer’s facial features—such as skin tone, eye color, and hair color—to determine their most flattering color palette. The technology matches individuals with their ideal personal color palette, enabling highly personalized product recommendations.
The Face Analyzer leverages a robust AI model trained on 100,000 diverse faces. It detects over 70 facial attributes and performs advanced AI color analysis to suggest a personalized skin color palette and the best hair color for skin tone and face shape, making it easy to tailor beauty and fashion suggestions.
AI-powered color palette analysis boosts conversion rates, reduces product returns, and enhances customer satisfaction by providing accurate, data-driven, and visually personalized recommendations. It also increases engagement through a more interactive, virtual shopping experience.
Absolutely. The AI was trained on a globally representative dataset, allowing it to effectively detect and analyze a wide range of facial features and skin color palettes across various ethnicities and genders.
Color Season Analysis is a method of personal color analysis that categorizes individuals into seasonal color groups—Spring, Summer, Autumn, or Winter—based on their skin undertone, eye color, and hair shade. Each season corresponds to a specific personal color palette that enhances a person’s natural features. In the beauty and fashion industries, this analysis is used to recommend the most flattering makeup shades, clothing colors, and even the best hair color for skin tone and face shape, helping brands deliver more tailored and visually impactful experiences. With AI, color season analysis can be done instantly and accurately, making it ideal for digital platforms and virtual shopping tools.