How to use Color Blindness Simulator
Simulate how your design or image looks to users with different types of color vision deficiency — deuteranopia, protanopia, tritanopia, and monochromacy. Upload an image or enter a URL to preview it through each simulation filter. Helps identify color combinations that are indistinguishable to color-blind users before they reach production.
- Upload an image (PNG, JPG, or WebP) or take a screenshot of your design.
- Select a color vision deficiency type to simulate.
- Compare the original and simulated views side by side.
- Identify any UI elements (charts, status indicators, buttons) that rely solely on color.
- Add text labels, patterns, or icons to supplement color-only distinctions.
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Types of color vision deficiency
Deuteranopia (green-blind) and protanopia (red-blind) together affect approximately 8% of males and 0.5% of females of Northern European ancestry — these are the most important to design for. Both cause red and green to appear very similar (olive/brown tones). Tritanopia (blue-blind) is much rarer, affecting fewer than 1 in 10,000 people, and causes confusion between blue and yellow. Achromatopsia (total color blindness / monochromacy) is extremely rare — less than 1 in 33,000 — but designing for it produces highly accessible monochrome-friendly interfaces.
| Type | Missing cone | Affected population | Colors confused |
|---|---|---|---|
| Protanopia | Red (L) | ~1% males | Red and green |
| Deuteranopia | Green (M) | ~6% males | Red and green |
| Tritanopia | Blue (S) | <0.01% | Blue and yellow |
| Achromatopsia | All cones | <0.003% | All colors |
Designing for color accessibility
Never use color as the sole means of conveying information — always supplement with text labels, icons, patterns, or shape differences. Common failures: red/green traffic-light status indicators, pie/bar charts differentiated only by color, form validation that turns only the border red. Solutions: add a text label ("Error", "Success"), use distinct icons (✓ ✗), increase the lightness contrast between the colors (not just hue), and add a pattern or texture fill to chart segments. Test with the deuteranopia simulation first — it's the most prevalent and the most challenging.
Worked examples
Red/green status badges
Inputs: green "OK" + red "Error" badges
Result: deuteranopia: both shift toward similar olive/brown
Traffic-light chart
Inputs: red, amber, green segments
Result: protanopia: red and green become hard to tell apart
Glossary
- Deuteranopia
- A color vision deficiency caused by absent or non-functional green-sensitive (M) cone cells — most common type.
- Protanopia
- Absence of red-sensitive (L) cones, causing red and green to appear similar.
- Tritanopia
- Absence of blue-sensitive (S) cones, affecting blue-yellow discrimination — very rare.
- Color-blind safe palette
- A set of colors chosen to remain distinguishable under the most common forms of color vision deficiency.
Related reading
Frequently Asked Questions
Why use Color Blindness Simulator?
- Simulates all four main CVD types — deuteranopia, protanopia, tritanopia, achromatopsia — on real images
- Side-by-side original vs simulated view reveals exactly which UI elements lose distinction
- Catches red/green status-indicator failures before they reach the 8% of color-blind male users
- Processes uploaded images entirely client-side so sensitive design mockups are never transmitted
Common use cases
- Running a dashboard screenshot through deuteranopia simulation to audit chart color differentiation
- Testing a traffic-light status badge to confirm it remains distinguishable without relying on hue
- Checking whether a heat map's color scale is still interpretable under protanopia simulation
- Verifying a table that uses red for negative and green for positive values reads correctly
- Reviewing a client landing page before launch to catch patterns that convey information by color alone
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