DEV Community: steplead

How to Extract HEX, RGB and CMYK Colors From Any Image

steplead — Tue, 18 Aug 2026 07:20:57 +0000

When working on a website or UI, I often run into the same small problem: I see a color in a screenshot, photo, or reference image and need the actual value.

The three formats I use most often are HEX, RGB, and CMYK.

HEX

HEX is usually the most convenient format for web design.

For example:

color: #4A6B5A;

A HEX value can be copied directly into CSS, design systems, and frontend code.

RGB

RGB represents the red, green, and blue channels of a digital color.

For example:

color: rgb(74, 107, 90);

RGB is useful when working with screens, JavaScript color manipulation, and programmatic design tools.

CMYK

CMYK is mainly associated with print workflows.

It is worth remembering that converting a screen color into CMYK is only an approximation unless you are working in a properly color-managed print environment.

A simple workflow

For most web and design work, the process can be very simple:

Upload the source image.
Pick a color from the image.
Copy the HEX or RGB value.
Save useful colors as reusable design tokens.

For example:

:root {
  --primary: #4A6B5A;
  --secondary: #E6D7A8;
}

I ended up building a small browser-based tool for this workflow called ImageColorPickerAI.

It lets you upload an image, pick colors, and extract reusable HEX, RGB, and CMYK values directly in the browser.

While building it, I also became interested in something less technical: how different cultures name colors.

That led me to add traditional Chinese and Japanese color collections alongside the image color picker.

For example, a machine may only need:

#7AA8BE

But a person may find a traditional color name much easier to remember and understand.

That contrast became one of the more interesting parts of the project:

Machines need color coordinates. Humans often need color meaning.

The core image color picker is free to use and does not require sign-up.

I’d be interested to know what color formats other developers regularly use besides HEX and RGB.

Building an AI-Powered Engine for Traditional Color Preservation

steplead — Thu, 25 Dec 2025 10:55:10 +0000

Traditional colors are more than just HEX codes; they are cultural narratives.

I built Image Color Picker AI to help designers bridge the gap between modern digital pixels and historical aesthetics.

🚀 Key Features:
Euclidean Color Matching: Precision analysis of 500+ traditional shades.
AI Wallpaper Engine: Cultures-aware generative art.
🌐 Access the Live Tool: https://imagecolorpickerai.com 📚 The Encyclopedia: https://imagecolorpickerai.com/colors/red

How I Built an AI Engine to Rescue Traditional Color Palettes Tags:

steplead — Wed, 24 Dec 2025 09:32:09 +0000

Traditional colors represent the soul of history, yet they're often lost in digital hex codes.

I built Image Color Picker AI to solve this. It's an open-source tool that analyzes any image and matches its pixels to 500+ curated Traditional Chinese and Japanese colors.

🚀 Key Features:

Smart Matching: Uses Euclidean distance matching to find the closest traditional shade.
AI Wallpapers: Generates 8K art based on color cultural meanings.
Tech Stack: Next.js 14 (App Router), DeepSeek V3, Flux-Schnell.

Check it out live: https://imagecolorpickerai.com
Github: https://github.com/steplead/imagecolorpickerai

Would love to hear your feedback on the color matching accuracy!