Key Facts
- Category
- Design & Color
- Input Types
- file, number, select, checkbox
- Output Type
- json
- Sample Coverage
- 4
- API Ready
- Yes
Overview
The Color Palette Extractor allows you to upload any image and automatically extract its dominant colors to generate a cohesive color palette. Perfect for designers, developers, and artists, this tool analyzes pixel data using advanced clustering algorithms to deliver precise color schemes in seconds.
When to Use
- •When you need to extract a matching color scheme from a brand photo or product image for a web design project.
- •When creating digital art or UI mockups and you want to base your color palette on a real-world photograph.
- •When analyzing the dominant colors of an image while excluding background whites and blacks to focus on key accents.
How It Works
- •Upload an image file in JPEG, PNG, WebP, GIF, BMP, or TIFF format.
- •Configure your palette size from 3 to 15 colors and select your preferred extraction algorithm, such as K-Means Clustering or Median Cut.
- •Choose whether to skip white or black pixels and set your sorting preference by dominance, brightness, or hue.
- •Run the extractor to analyze the sampled pixels and generate a structured JSON output containing the color palette.
Use Cases
Web designers extracting a cohesive UI color scheme from a client's hero image.
Brand identity designers generating a consistent color palette from mood board photography.
Frontend developers programmatically retrieving dominant image colors to dynamically style UI backgrounds.
Examples
1. Extracting a Brand Palette from a Product Photo
Brand Designer- Background
- A designer is creating a marketing landing page for a new organic skincare line and needs a natural, earthy color palette derived from the product's hero image.
- Problem
- Manually picking colors from the image is subjective and time-consuming, often missing the true dominant tones.
- How to Use
- Upload the product image, set the palette size to 5 colors, select the K-Means algorithm, and enable both 'Skip White' and 'Skip Black' to avoid background interference.
- Example Config
-
{ "colorCount": 5, "algorithm": "kmeans", "ignoreWhite": true, "ignoreBlack": true, "sortMode": "percentage" } - Outcome
- A clean JSON palette containing 5 dominant earthy tones sorted by their dominance in the image, ready to be used in the CSS stylesheet.
2. Creating a High-Contrast UI Theme from Artwork
UI/UX Developer- Background
- A developer wants to build a dark-mode interface inspired by a specific digital painting, requiring bright accent colors sorted by brightness.
- Problem
- The painting has a lot of dark background pixels that clutter the palette, making it hard to isolate the bright accent colors.
- How to Use
- Upload the artwork, set the palette size to 8, choose the Median Cut algorithm, enable 'Skip Black', and set the sort order to 'brightness'.
- Example Config
-
{ "colorCount": 8, "algorithm": "median-cut", "ignoreBlack": true, "sortMode": "brightness" } - Outcome
- An ordered list of 8 vibrant colors from the artwork, sorted from brightest to darkest, excluding the dark background tones.
Try with Samples
image, png, jpgWeb Image Processing Python Samples
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Android Image Processing Java Samples
Android Java image processing examples including reading/saving images, scaling, and format conversion
preferred input family image
Android Image Processing Kotlin Samples
Android Kotlin image processing examples including reading/saving images, scaling, and format conversion
preferred input family image
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FAQ
What image formats are supported for color extraction?
You can upload JPEG, PNG, WebP, GIF, BMP, and TIFF images up to 20MB in size.
How does the K-Means Clustering algorithm work for color extraction?
It groups similar pixel colors together into clusters to find the most representative dominant colors in the image.
Can I exclude background colors like pure white or black?
Yes, you can enable the 'Skip White' and 'Skip Black' options to filter out near-white and near-black pixels from the final palette.
What is the maximum number of colors I can extract?
You can extract a palette containing anywhere from 3 to 15 colors.
How are the extracted colors sorted in the output?
You can sort the colors by dominance (percentage of occurrence), brightness, or hue.