Fashion AI Color Analyzer API | DOC

1. The user (shop owner or developer) sends a color code to the API.

2. The API analyzes the color and classifies it into the 12 seasonal categories.

3. The API returns:

   • Top 3 most fitting seasonal categories (where the color looks best)

   • Bottom 3 least fitting seasonal categories (where the color is least flattering)

4. Businesses can label products with seasonal color tags, helping customers find matching products more easily.

For example, if a deep burgundy (#5b1444) is submitted, the API might return:

{
    "input_color": "#5b1444",
    "top_categories": [
        "Deep Winter",
        "Deep Autumn",
        "Warm Autumn"
    ],
    "least_fitting_categories": [
        "Soft Summer",
        "Light Summer",
        "Light Spring"
    ]
}

✅ Product Categorization & Labeling – Categorize clothing, accessories, and makeup into seasonal color categories, improving product discovery.

✅ Color Type-Based Product Recommendations – Providing personalized product recommendations based on seasonal color analysis theory.

✅ Personalized Shopping Experience – Customers who know their seasonal color type can filter products that suit them best, leading to better purchase decisions.

✅ Proven & trusted – Seasonal Color Analysis is widely recognized in the fashion industry.

✅ Easy Integration – Simple API call structure for fast implementation.

• Fashion & clothing retailers (online stores, boutiques)

• Beauty & makeup brands (lipsticks, eyeshadows)

• Accessories & jewelry stores (bags, watches, shoes, scarves, belts)

• E-commerce platforms (customized product recommendations)

• Personal styling & AI-driven fashion assistants

HOW TO USE THIS API?

The API is accessible via a simple GET request.

1. API Request Format

Endpoint:
GET /color-to-season?color_code=5b1444

Parameter:
 - color_code (required) – A 6-character hexadecimal color code.

2. Example API Call

 GET /color-to-season?color_code=5b1444

3. Example API Response

{
    "input_color": "#5b1444",
    "top_categories": [
        "Deep Winter",
        "Deep Autumn",
        "Warm Autumn"
    ],
    "least_fitting_categories": [
        "Soft Summer",
        "Light Summer",
        "Light Spring"
    ]
}

{
    "error": "Invalid hex code. It should be a 6-character hexadecimal string."
}{
    "error": "Missing or not valid 'color_code' parameter."
}

• Integrate the API into your product upload system to automatically categorize new items.
• Example: When a fashion store uploads a red dress, the API can determine if it fits “Warm Autumn” or “Deep Winter” and tag it accordingly.

2. Recommendation engine:

3. Filter Products by Seasonal Color Type

• Add a “Shop by Color Type” feature to help users browse items that match their personal palette.
• Example: A user identified as Cool Summer can quickly filter products that complement their tone.

4. Show “Best & Worst” Matches on Product Pages

• Display Top 3 best and 3 worst categories next to each product.
• Example:
  
  • ✅ Best for: Deep Winter, Deep Autumn, Warm Autumn
  • ❌ Not recommended for: Soft Summer, Light Summer, Light Spring

5. Integrate with Virtual Try-On or AI Styling Assistants

• If your platform uses AI-powered styling or virtual try-ons, the API can enhance recommendations by suggesting colors that work best.
• Example: If a customer tries a lipstick shade, the system can confirm if it suits their personal color type.

6. Combine with Seasonal Color Quiz API

• If a user doesn’t know their seasonal type, let them take the Seasonal Color Analysis – Quiz API first.
• Once they discover their type, the Fashion AI Color Analyzer API can personalize their shopping experience.

By integrating this API, businesses can transform the shopping experience, making it more personalized, intuitive, and aligned with seasonal color theory and AI-powered fashion insights.