Extract Colors from Image
NewTrending 🔥Get the dominant color palette from any image
How to Use Extract Colors from Image
- 1Upload your image
- 2The tool analyzes and displays the dominant color palette
- 3Click any color swatch to copy its hex code
- 4Click a swatch to copy its hex code
- 5Use Copy All to copy the entire palette
About Extract Colors from Image
Analyze any image and extract its dominant colors as a palette. Copy hex codes instantly for use in design projects, branding or development.
Key Features of Extract Colors from Image
- K-means clustering algorithm for perceptually accurate dominant colors
- Adjustable color count from 2 to 16 palette entries
- Visual color swatches displayed alongside hex and RGB values
- Click any swatch to copy its hex code to clipboard
- Copy All button to export the full palette as hex codes
- Works on photographs, illustrations, logos, and any image type
- Fast — image is downsampled before analysis for speed
- Completely browser-based — no image data leaves your device
Supported Formats
Input Formats
Output Formats
Animated GIFs use only the first frame for color extraction.
Examples
Extract brand colors from a logo
Set color count to 4-6 to capture the main palette from a logo without too many similar shades.
Input
Company logo PNG
Output
5 dominant brand colors with hex codes
Build a UI palette from a hero photo
Extract 8 colors from the hero image to build a cohesive UI color palette that matches the photography.
Input
Website hero photography
Output
8 complementary colors for design system
Analyze competitor brand colors
Upload a screenshot of a competitor page to quickly identify the exact hex codes they use.
Input
Screenshot of a competitor's website
Output
Hex codes of their brand palette
Common Use Cases
- Extracting brand colors from a logo to use in design systems
- Building a UI color palette inspired by a hero photograph
- Analyzing competitor brand colors from screenshots
- Finding complementary accent colors for a design project
- Creating a cohesive color scheme that matches product photos
- Reverse-engineering the color palette of an image for rebranding work
Troubleshooting
Extracted colors look wrong or unexpected
Solution
Increase the color count to capture more nuance from the image. With a low count, k-means merges similar hues into one cluster and may miss important accent colors.
Similar colors are grouped together
Solution
This is expected behavior — k-means merges visually similar pixels. To separate closely related hues, increase the color count and re-extract.
Very light or very dark colors are missing
Solution
Use a higher color count. Near-white backgrounds and near-black shadows are valid clusters but may be merged with other clusters at a low count setting.
Frequently Asked Questions
How many colors are extracted?
Up to 10 dominant colors are shown by default.
Can I use this for brand color matching?
Yes. It's great for identifying the key colors in a logo or photo.
How accurate is the color extraction?
K-means clustering is perceptually accurate for dominant colors. Results represent the most visually significant colors, not a simple pixel count.
Why do results vary between runs?
K-means uses random initialization. For consistent results, run extraction a few times and compare — the dominant colors will be similar across runs.
Can I copy the full palette at once?
Yes. The Copy All button copies all hex codes as a comma-separated list, which you can paste directly into design tools or CSS variables.
What is the difference between hex and RGB values?
Hex codes (e.g. #3A7BD5) are a compact format used in HTML and CSS. RGB values (e.g. rgb(58, 123, 213)) are the same color expressed as three channels. Both are shown for each swatch.
How accurate is the color extraction?
K-means clustering is perceptually accurate for dominant colors. Results represent the most visually significant colors, not a simple pixel count.
Why do results vary between runs?
K-means uses random initialization. For consistent results, run extraction a few times and compare — the dominant colors will be similar across runs.