Extract HSV Palette From Image

We’ve made it easy to extract a single color from any image you upload or paste, and now we’re taking things a step further.

extract-hsv-palette-from-image-logoWith this tool, you can create a complete HSV color palette directly from any image file. The tool analyzes the image, identifies the key colors, and then generates a collection of HSV values that match the original image. It’s straightforward—just click on the demo images below to try it out.

Each click on the image will capture the color from the pixel under your mouse and convert it into an HSV value. By default, the tool grabs 4 colors, but you can adjust the settings to capture more or fewer colors with each click.

HSV (Hue, Saturation, Value) and HSL (Hue, Saturation, Lightness) are both color models that represent colors in a more human-friendly way than RGB. The key difference lies in how they handle brightness. HSV is better suited for scenarios where the brightness of colors needs to be adjusted while maintaining their hue, making it ideal for selecting and manipulating colors in digital images. On the other hand, HSL is often used when you need to work with colors in terms of lightness, which might not be as practical for image analysis and editing.

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


Hover and click on image area to obtain color palette. You can also reset image or get a different one.

HEX
#674a32
RGB
rgb(103, 74, 50)
HSL
27°, 35%, 30%
CMYK
cmyk(0%, 28%, 51%, 60%)
HEX
#c6bbb5
RGB
rgb(198, 187, 181)
HSL
21°, 13%, 74%
CMYK
cmyk(0%, 6%, 9%, 22%)

How We Extract a HSL Color Palette from an Image

1. Loading Your Image

  • First, we load your image into our processing tool, ensuring it’s ready for analysis in its original format.

2. Analyzing Dominant Colors

  • We then analyze the image to identify the most dominant colors. This is done using techniques like K-means clustering, which helps simplify and isolate the key colors in the image.

3. Extracting HSV Values

  • Once the dominant colors are identified, we extract the exact HSV values for each of them, capturing the hue, saturation, and value that represent the colors in the image.

4. Compiling Your HSV Palette

  • Finally, we compile these HSV values into a cohesive palette that you can use for your design projects, ensuring that the palette accurately reflects the colors in the original image.

This process provides you with a precise HSV palette that represents the true colors of your visual sample.

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