Color Space Converter
Our art & design fundamentals calculator teaches color space step by step. Perfect for students, teachers, and self-learners.
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer
Color Space Converter
Calculator
Adjust values & calculateEnter your values below. Every result is computed in your browser โ no data is sent to any server.
Formula: HSL: H = arctan2(sqrt(3)(G-B), 2R-G-B) | CMYK: C = (1-R-K)/(1-K)
Worked example โ Successfully converted to 7 color spaces for consistent branding across digital and print
Formula
HSL: H = arctan2(sqrt(3)(G-B), 2R-G-B) | CMYK: C = (1-R-K)/(1-K)
Color space conversions use mathematical transformations to map values from one model to another. RGB to HSL involves finding the min/max channels to derive hue angle and saturation. CMYK is derived by finding the key (black) component first, then calculating remaining ink percentages. XYZ uses a linear transformation matrix, and CIELAB applies a cube-root function to XYZ values.
Worked Examples
Example 1: Web Design Color to Print CMYK
Problem:Convert the web color #3498DB (a pleasant blue) to all major color spaces for a cross-media brand guide.
Solution:HEX: #3498DB RGB: (52, 152, 219) HSL: (204, 70%, 53%) HSV: (204, 76%, 86%) CMYK: (76%, 31%, 0%, 14%) XYZ: (23.28, 27.67, 70.50) CIELAB: (59.57, -7.42, -37.83) Relative Luminance: 0.2769
Result:Successfully converted to 7 color spaces for consistent branding across digital and print
Example 2: Accessibility Check on Brand Yellow
Problem:A brand uses #F1C40F (bright yellow). Calculate its relative luminance to determine if black or white text provides better contrast.
Solution:RGB: (241, 196, 15) Relative Luminance: 0.5765 Contrast with white (L=1): (1 + 0.05) / (0.5765 + 0.05) = 1.68:1 (FAIL) Contrast with black (L=0): (0.5765 + 0.05) / (0 + 0.05) = 12.53:1 (PASS AAA) Black text passes all WCAG levels on this yellow background.
Result:Luminance: 0.5765 | Use black text (12.53:1 contrast) not white (1.68:1)
Frequently Asked Questions
What is a color space and why are there so many?
A color space is a specific mathematical model that defines how colors are represented as numbers. Different color spaces exist because different applications need different properties. RGB is optimized for screens that emit light, CMYK is designed for printing with inks, HSL provides intuitive controls for designers adjusting hue and brightness, and CIELAB attempts to be perceptually uniform so that equal numerical changes produce equal visual changes. Each color space has a specific gamut (range of representable colors) and purpose. No single space is universally best, which is why converting between them is a fundamental skill in digital design and color science.
What is the difference between RGB and sRGB?
RGB is a general term for any color model based on red, green, and blue channels, while sRGB is a specific standardized RGB color space created by HP and Microsoft in 1996. sRGB defines exact primary colors, a specific white point (D65), and a particular gamma curve (approximately 2.2). Nearly all consumer displays, web browsers, and digital cameras default to sRGB, making it the de facto standard for the internet and consumer electronics. Other RGB spaces like Adobe RGB and ProPhoto RGB have wider gamuts that can represent more colors, but content in these spaces may display incorrectly on sRGB monitors without proper color management.
How does the HSL color model work?
HSL represents colors using three intuitive dimensions: Hue (the color angle from 0 to 360 degrees on the color wheel), Saturation (the color intensity from 0 percent gray to 100 percent pure color), and Lightness (from 0 percent black through 50 percent pure color to 100 percent white). HSL is a cylindrical transformation of the RGB cube designed to be more intuitive for human interaction. Adjusting hue changes the color while keeping brightness and intensity constant. Adjusting saturation moves between gray and vivid. Adjusting lightness moves between black and white. This makes HSL ideal for color picker interfaces and programmatic color manipulation in CSS and design tools.
What is the CIE XYZ color space?
CIE XYZ is a device-independent color space created by the International Commission on Illumination (CIE) in 1931 based on human color perception experiments. It serves as the master reference space from which most other color spaces are derived. The Y component represents luminance (brightness as perceived by humans), while X and Z carry chromatic information. XYZ encompasses all colors visible to the average human eye, making it larger than any practical display or print gamut. It is primarily used as an intermediate space for converting between other color models and in color management systems. All ICC color profiles use XYZ as their connection space.
What is CIELAB and why is it considered perceptually uniform?
CIELAB (also written as Lab or L*a*b*) is a color space designed so that equal numerical distances correspond to equal perceived color differences by the human eye. L represents lightness from 0 (black) to 100 (white), a represents the green-to-red axis, and b represents the blue-to-yellow axis. Unlike RGB or HSL where a change of 10 units might look dramatic in one region but subtle in another, CIELAB maintains consistent perceptual steps throughout the space. This makes it ideal for quality control in manufacturing, image processing algorithms, and any application where precise color difference measurement is needed. Delta-E values calculated in CIELAB are the industry standard for color matching.
How do I convert HEX color codes to RGB values?
HEX color codes are simply RGB values written in hexadecimal (base-16) notation. A six-digit HEX code like #3498DB contains three two-digit hex numbers representing red, green, and blue respectively. To convert, take each pair of hex digits and convert to decimal: 34 hex equals 52 decimal (3 times 16 plus 4), 98 hex equals 152 decimal (9 times 16 plus 8), and DB hex equals 219 decimal (13 times 16 plus 11). So #3498DB is RGB(52, 152, 219). The reverse conversion divides each decimal value by 16 to get the two hex digits. Three-digit shorthand codes like #F0A expand to #FF00AA by doubling each digit.
What is HSV/HSB and how does it differ from HSL?
HSV (Hue, Saturation, Value) and HSB (Hue, Saturation, Brightness) are the same model with different names. While HSL and HSV share the same hue definition, they differ in how they handle saturation and brightness. In HSV, value of 100 percent means the color is at maximum brightness, and saturation controls how pure the color is. In HSL, lightness of 100 percent is always white, and 50 percent lightness gives the purest color. HSV is more commonly used in color pickers in software like Photoshop and Illustrator because artists find its behavior more intuitive when mixing colors. HSL is more common in CSS and web development.
What is relative luminance and how is it calculated?
Relative luminance is a measure of how bright a color appears to the human eye, accounting for the fact that we perceive green as much brighter than blue. It is calculated from linear RGB values using the formula L = 0.2126R + 0.7152G + 0.0722B, where the coefficients reflect human photopic vision sensitivity. Before applying this formula, sRGB values must be linearized by removing the gamma encoding. Relative luminance ranges from 0 (black) to 1 (white) and is the foundation of WCAG contrast ratio calculations. Two colors with similar luminance will have poor contrast regardless of their hue difference, which is why color-blind safe designs focus on luminance contrast.
How do color profiles and color management systems work?
Color management systems ensure consistent color appearance across different devices by translating between device-specific color spaces using ICC profiles. Each device (monitor, printer, camera) has a profile that maps its native colors to the device-independent CIE XYZ space. When converting from one device to another, the system converts from source device space to XYZ, then from XYZ to the destination device space. Rendering intents control how out-of-gamut colors are handled during conversion. Perceptual intent compresses the entire gamut proportionally, while relative colorimetric clips out-of-gamut colors to the nearest reproducible color. Proper color management is essential for print production, photography, and any workflow requiring color accuracy.
References
Background & Theory
History
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer ยท Editorial policy
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