Meta Title: Integrate AI Skin Tone Detection into Your App with the Skin Tone Recommender API
Meta Description: Learn how developers can easily integrate AI-based skin tone detection using the Skin Tone Recommender API and SDK for web, mobile, and eCommerce apps.
Introduction
Developers are now at the heart of the beauty industry’s AI revolution.
From virtual try-on to shade matching and product recommendations, technology is redefining how users shop for beauty products.
The Skin Tone Recommender API and SDK make it simple to bring this innovation to your app — whether it’s an eCommerce store, salon platform, or mobile beauty app.
Let’s explore how you can integrate it in minutes.
1. What Is the Skin Tone Recommender API?
The API is a web-based interface that takes an image (captured or uploaded) and returns:
✅ The average skin color (HEX & RGB)
✅ The closest tone name from a curated tone database
✅ Optional: Recommended product matches
Example response:
{
"hex": "#CD966B",
"rgb": [205, 150, 107],
"closestTone": "Medium Light",
"recommendedProducts": [
"PerfectMatch Foundation 302",
"GlowUp Concealer ML-4"
]
}
It’s built using ΔE2000 color difference algorithms to ensure laboratory-level accuracy in tone detection.
2. What Is the SDK?
The SDK (Software Development Kit) gives developers everything needed to embed skin tone detection directly in their apps — no backend coding required.
It includes:
skin-tone-detector-sdk/
│
├── index.js # Core tone detection logic
├── tones.js # Full tone list (HEX + RGB)
├── demo.html # Live camera or upload interface
└── test.js # Sample tests
You can deploy it directly on Vercel or GitHub Pages and start detecting tones from the browser in seconds.
3. How It Works (Under the Hood)
1️⃣ User grants camera or uploads an image.
2️⃣ The system extracts the average color from the selected region (within an adjustable circular mask).
3️⃣ Converts RGB → LAB color space.
4️⃣ Uses the ΔE2000 formula to calculate the closest match from the tone database.
5️⃣ Returns the tone, HEX, and optional product mapping.
All in real-time — no heavy processing or cloud cost.
4. Integration Examples
🧩 Web Integration
fetch("https://api.highvaluesolutions.net/analyze", {
method: "POST",
body: JSON.stringify({ image: base64Image }),
headers: { "Content-Type": "application/json" },
})
.then(res => res.json())
.then(data => console.log(data));
📱 Mobile Integration (React Native / Flutter)
Use the SDK as a lightweight JS module.
The tone result can trigger product suggestions, AR previews, or personalized ads.
🛍️ eCommerce Integration (WooCommerce + Plugin)
For non-developers, the WordPress plugin provides a ready-made interface: Foundation: — Concealer: — Powder: — Blush: — Bronzer: — Purpose: To even out the entire skin tone. Color Range: From very fair to deep tones. Relationship: Coverage refers to how much of your natural skin (spots, blemishes, redness) is hidden by the foundation. Purpose: Hide blemishes, dark spots, and under-eye circles. Color Range: 1–2 shades lighter than foundation or same/darker for contouring. Relationship: Coverage levels in concealer determine how much correction you get for dark circles, spots, or discoloration. Purpose: To set foundation and reduce shine. Color Range: Translucent or matching shade. Relationship: Purpose: To add a natural flush to cheeks. Color Range: Pinks, peaches, berries, corals. Relationship: Purpose: Adds warmth, dimension, and light contour. Color Range: Warm browns, mocha, terracotta. Relationship: ⚡ Lightweight SDK — pure JavaScript, no dependencies 🌐 Cross-platform — web, mobile, or desktop 🧠 AI precision — powered by ΔE2000 and LAB color spaces 💬 RESTful API — simple JSON endpoints 💳 Monetized licensing — each integration uses a license key 🔒 Privacy-first — no external image storage BeautéTech offers 3 integration tiers: You can buy a license directly at: 💄 Beauty brands: Embed AI tone detection on your site or app for foundation matching. Wherever color matters, the Skin Tone Recommender fits. Step 1: Clone from GitHub Step 2: Deploy on Vercel Step 3: Integrate API The beauty tech revolution is here — and it’s powered by developers like you. With the Skin Tone Recommender API and SDK, you can integrate human-like color intelligence into your next app or eCommerce system. Whether you’re building the next Fenty Beauty experience or a salon AI assistant, this toolkit gets you there faster — with accuracy, class, and scalability. 👉 Start building at highvaluesolutions.net/beautech Keywords: skin tone API, beauty tech SDK, AI color detection, WooCommerce plugin, foundation shade matching API, eCommerce personalization AI Analyze Your Skin Tone
then click on Capture and then Analyze.💄 Makeup Matches
Coverage Levels
Coverage Levels
Product
Color Type
Compared to Foundation
Usage Layer
Foundation
Skin tone match
Base tone
1 (Base)
Concealer
Slightly lighter
1–2 shades lighter
2
Powder
Match/translucent
Same or transparent
3
Blush
Complementary
Adds warmth/coolness
4
Bronzer
Darker/warm tones
1–2 shades deeper
4 / 5
No code — just activate, and start detecting tones from product pages.5. Why Developers Love It
6. Pricing for Developers & Brands
Plan Best For Includes Free Testing & learning Limited requests/day Pro Beauty startups & salons Full SDK + Plugin + API access Enterprise Global brands & apps Custom branding, SLA, priority support
👉 https://highvaluesolutions.net/beautech7. Use Cases
🏬 eCommerce platforms: Personalize recommendations automatically.
📱 Salon management apps: Analyze client tones for product logging.
🎥 AR developers: Sync tone detection with virtual try-on engines.8. Developer Quick Start (2-Minute Setup)
git clone https://github.com/highvaluesolutions/skin-tone-detector-sdk.git
cd skin-tone-detector-sdk
vercel deploy
Use your assigned license key to authenticate calls and start detecting tones in real time.Conclusion