Data classification is a crucial step in organizing and utilizing information effectively, especially in AI-driven applications. With Stof, developers can seamlessly classify and structure incoming data using built-in schema functions. In this example, we’ll walk through how Stof can automatically assign color classifications to t-shirt records based on hex values or color names.

The Problem: Identifying T-Shirt Colors

Imagine you're processing product data, and a t-shirt record comes in with only a single color field. This value could be a color name or a hex code, but to make it useful for AI models or analytics, you need a standardized classification.

The Stof Solution: Schema-Based Classification

Using Stof’s schema and schemify functions, we can dynamically classify colors as data flows in. Here’s how it works:

1. Preloading a Color Dataset – A comprehensive list of color names and their corresponding hex values is stored efficiently in a compiled binary format.
2. Converting Colors – A function converts hex codes into RGB values to find the closest matching color in our dataset.
3. Applying Meta-Code for Classification – As each t-shirt record is processed, Stof automatically assigns a standardized color name based on the closest RGB match. If a name is provided instead of a hex value, it appends the corresponding hex code instead.

How It Works in Action‍

Running this through Stof’s CLI (or embedding it in an application) demonstrates its efficiency. Given a hex code, Stof finds the closest color match and updates the record. For example:

• Input: Hex Code for Light Blue → Output: "Aquamarine"
• Input: "Lime" → Output: Hex Code for Lime Green

This logic runs efficiently via WebAssembly, making it highly performant across different environments.

‍Why This Matters

‍With Stof, data classification happens in real-time, reducing the need for extra processing logic in applications. This approach enhances AI readiness, improves data consistency, and simplifies the developer experience—all while ensuring data remains structured and searchable.

‍Explore More with Stof

‍This is just one example of how Stof can automate data structuring and classification. Whether you’re handling product data, AI training sets, or dynamic records, Stof streamlines data governance and accessibility. Read more in our Docs and visit our Github to start contributing.