Color Mixer Calculator
Adjust the inputs below. Results update as you type.
How it works
Mixing by averaging RGB channels simulates paint-like additive mixing on screen. True optical mixing (light) vs. subtractive mixing (pigment) behaves differently—pigment mixing is better modeled in CMYK space. Useful for web design, selecting intermediate brand colors, and accessibility checks. The output hex code can be pasted directly into CSS.
Input guidance
- Confirm date/time/unit settings before comparing outputs.
- If a task has optional fields, run both with and without them to understand impact.
- Save scenario variants when making practical decisions.
The formula
Mixing colors depends on the model: RGB (light) adds values toward white; subtractive pigments mix toward darker tones. Blending two RGB colors averages their channel values.
Worked example
Mixing red (255,0,0) and blue (0,0,255) equally gives purple (128,0,128) in RGB.
More examples to test
- Quick-pass example: run default assumptions for a first estimate.
- Refined example: update one assumption at a time to isolate impact.
How to interpret results
Use outputs as operational estimates and pair them with local constraints, business rules, or provider requirements.
When this can be inaccurate
Utilities can miss local policy details, special-case rules, and environment-specific constraints.
Change history
- July 2026: Quality-reviewed for publication with formula checks and explanatory copy updates.
Site-wide corrections also appear on the corrections log.
Find productivity tools for everyday workflows
General recommendation, not professional advice.
Frequently asked questions
What is the difference between RGB and CMYK mixing?+
RGB is additive (light), combining toward white; CMYK is subtractive (ink), combining toward black. Screens use RGB; printing uses CMYK.
How do I get a specific shade?+
Adjust the proportion of each component color. More of one channel shifts the blend toward that color.
What are hex color codes?+
Six hexadecimal digits encoding red, green, and blue from 00 to FF each, like #FF8800 for an orange.
Why are outputs slightly different from another tool?+
Different tools can use different rounding rules, default assumptions, and treatment of edge cases.
How can I improve estimate reliability?+
Use verified inputs from real records and re-run calculations after major assumption changes.