Virtual Hair Colour Analysis
Let customers instantly detect their natural hair color, undertones, and tone depth using AI-powered virtual hair colour analysis. Deliver personalized shade recommendations directly on your website or mobile app, increasing confidence and accelerating purchase decisions.
Selected by Hundreds of Leading Brands
Virtual Hair Colour Analysis in Action
- AI detects the current hair color from a photo or video feed
- Hair color scanner runs undertones (cool/warm/neutral) and depth classification
- Intelligent recommendations engine suggests suitable dye shades
- User can use virtual try-on to see how the suggested dyes would look on them
Technical Features
Virtual hair colour analysis works in real time on end-user devices while maintaining performance, privacy, and scalability. No personal information is gathered, stored, or processed to ensure compliance with data protection laws. Hair color detector is available as an SDK and an API. Mobile versions are compatible with React Native & Flutter.
Mobile
Android: Android 8.0+. API level 26+
iOS: iOS 13.0+, Metal API
Desktop
Windows 8.1+
MacOS 10.13 +
Web
AI-Powered Tone & Undertone Detection
Cutting-edge technology for shade & undertone detection lets your users get accurate results without professional assistance or special hardware. It automatically adapts to environmental conditions and works on both photos & live camera feed.
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Detects natural hair color and undertone accurately
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Works across diverse lighting conditions
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Customizable shade taxonomy for brand-specific color systems
State-of-the-art AI
Proprietary artificial intelligence ensures accurate hair region segmentation, as well as automatically conducts tone depth mapping. Everything happens in the background, with no manual input required.
Data-Driven Recommendation Engine
The system uses the data gathered by AI (hair & skin shade, undertone, etc.) to suggest products that would look great on the specific customer. It can be integrated with brand-specific product catalog to recommend exact dyes and allow one-click checkout.
Why Banuba Hair Color Detector?
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Increase sales
Lifelike hair colors & accurate recommendations motivate visitors to buy
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Reduce returns
When customer gets what they expected, they are less likely to ask for a refund
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Fast integration
Simple packaging and LLM-optimized integration flow help you add the features you need quickly and get ROI soon.
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Lifetime support
Regular updates and upgrades ensure that your system will always work as you want
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You can adapt Banuba Virtual Hair Color Analysis to use the terms and product names that your brand uses. This applies to every step, from shade detection to personalized recommendations, ensuring that everything is named consistently and easy for the buyers to understand.
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Banuba hair color scanner processes everything on the end-user’s device. Combined with the process that gathers no private information, this is optimized for compliance and customer protection.
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Banuba’s hair color detection AI was trained on a massive dataset that included pictures in different lighting conditions. As a result, it can adapt to the user’s environment and retain accuracy.
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Banuba’s Virtual hair color analysis is designed to be integrated with existing eCommerce and other apps. It can be distributed as an SDK or an API and is compatible with native Android & iOS, as well as React Native, Flutter, Mac, Windows, and Web. Whatever tech stack you use, you will be able to integrate Banuba’s solution.