RGB to HSV Color Converter
Convert RGB color values to HSV (Hue, Saturation, Value) with real-time preview
RGB Color Input
Current RGB Values
Color Preview
HEX: #808080
HSV Color Values
Hue (H)
0°
Color type (0-360°)
Saturation (S)
0%
Color intensity (0-100%)
Value (V)
50%
Brightness (0-100%)
HSV Notation:
hsv(0, 0%, 50%)
RGB Notation:
rgb(128, 128, 128)
How to Use RGB to HSV Color Converter
Adjust RGB Values
Use the red, green, and blue sliders to select your desired RGB color. Each component ranges from 0 to 255.
Enter Hex Code Directly
Alternatively, you can enter a hexadecimal color code in the HEX input field (without the # symbol).
View HSV Results
The corresponding HSV values are calculated and displayed automatically in real-time:
- Hue (H): The color type, represented as an angle from 0° to 360° on the color wheel
- Saturation (S): The intensity or purity of the color (0% is grayscale, 100% is full color)
- Value (V): The brightness of the color (0% is black, 100% is full brightness)
Copy Values
Use the copy buttons to copy either the HSV notation, RGB notation, or HEX code to your clipboard.
Understanding the Color Preview
The circle on the right shows a real-time preview of your selected color.
About HSV Color Space
HSV (Hue, Saturation, Value) is a cylindrical color model that represents colors in a way that is often more intuitive than the RGB model. It is widely used in color pickers and image editing software.
Hue (H)
Measured in degrees (0-360°) and represents the color type. The color wheel starts with red at 0°, progressing through yellow (60°), green (120°), cyan (180°), blue (240°), magenta (300°), and back to red.
Saturation (S)
Measured as a percentage (0-100%) and represents the purity or intensity of the color. A saturation of 0% gives a grayscale color, while 100% is the full color.
Value (V)
Measured as a percentage (0-100%) and represents the brightness of the color. A value of 0% gives black, while 100% gives the brightest version of the color.
Applications of HSV
- Digital art and image editing
- Color selection in design software
- Computer vision and image processing algorithms
- Color harmony and palette creation
- Scientific visualization of data