Extract CMYK Palette From Image
We already made it easy to extract a single CMYK color from any uploaded (or pasted) image context, but now we want to take this process even further.
Here’s how you can obtain a visually appealing color palette from a single image file. Just give this tool a try. It will evaluate all colors present in the image to determine the dominant clusters, using this information we can then assemble a fine looking color collection containing colors found on the source image. This process is very straight forward, and you can start by clicking around on our demo images down below.
Each click on the image below will attempt to extract color from pixel underneath your mouse pointer and then pass this information to our CMYK color palette generator.
Default preset is 4 colours, but you can use the adjustment options to obtain more or less colors with each click.
Color Picker (upload image):
• Step 1 - Upload your image file.
• Step 2 - Point and click to extract palette.
New: Just paste a screenshot! Click here
Click here and paste your screenshot (Ctrl+V)
P.S. You can also drag and drop images here!
Hover and click on image area to obtain color palette. You can also reset image or get a different one.
How We Extract a CMYK Color Palette from an Image
Here’s how we take your image and turn it into a useful CMYK color palette:
1. Loading Your Image
- We start by loading your image into our processing tool, ensuring it’s in the RGB format.
2. Extracting Dominant Colors
- Next, we analyze the image to identify the most dominant colors. This is done by applying color clustering techniques like K-means, which simplifies the palette.
3. Converting RGB to CMYK
- We then convert these dominant RGB colors into CMYK values using precise mathematical formulas, ensuring accuracy for printing purposes.
4. Compiling Your CMYK Palette
- Finally, we gather the converted CMYK values into a cohesive palette, ready for your design and printing needs.
This process ensures you get a reliable CMYK palette that perfectly matches your visual sample.
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