Color Converter
HEX ↔ RGB ↔ HSL ↔ OKLCH.
Simulate how colors look under CVD types, and see which pairs become indistinguishable.
| Input | Normal | Protanopia | Deuteranopia | Tritanopia | Achromatopsia |
|---|---|---|---|---|---|
| #ef4444 | #ef4444 | #6b6b46 | #939338 | #b4b400 | #848484 |
| #22c55e | #22c55e | #bbbb5d | #aaaa63 | #9393ff | #acacac |
| #3b82f6 | #3b82f6 | #7c7cf6 | #7373f6 | #6767ff | #858585 |
| #f59e0b | #f59e0b | #abab11 | #bdbd00 | #cfcf00 | #b1b1b1 |
Fix: increase the lightness contrast between colors, or don't rely on color alone — add shape, pattern, icons, or labels as a non-color cue.
The simulation approximates Viénot/Brettel's cone-space model and doesn't capture individual variation. Everything runs locally in your browser — nothing is uploaded.
A tool that approximates CVD perception and warns you when specific color pairs become hard to distinguish, not just a recoloring filter.
Protanopia (missing L/red cones), deuteranopia (missing M/green cones), and tritanopia (missing S/blue cones). Achromatopsia is the absence of functioning cones altogether, leaving only brightness perception.
Red-green CVD affects roughly 1 in 12 men and 1 in 200 women globally — common enough that most sizable audiences include someone affected.
For people with CVD, certain color pairs (like red and green) can appear identical or nearly so. Relying on color alone can make information disappear — pair it with lightness contrast, shape, pattern, or labels.
No. All processing runs in your browser; nothing is sent to toco.tools servers.