Toolzie
👁️ 8 Vision Types · 2026 WCAG 2.2

👁️ Color Blindness Simulator

See how your designs look to the 8% of men and 0.5% of women with color vision deficiency. Test protanopia, deuteranopia, tritanopia, achromatopsia, and 4 more. Includes an 8-plate Ishihara test, confusing-color pairs, and image upload. Built on the Brettel-Viénot-Mollon 1997 transformation matrices (the same used by Chrome DevTools and Adobe Photoshop).

~8%
of men have CVD
~0.5%
of women have CVD
8
vision types simulated
3
Ishihara plates

1. Pick a vision type

Click any vision type. The simulator swatches, text legibility samples, and Ishihara plates will re-render in that vision's color space. Your uploaded image (if any) is also re-transformed in real time.

2. Confusing color pairs

These are the color combinations that are hardest to tell apart in the currently-selected vision type. Designers should avoid using any of these pairs as the only signal — always add a label, icon, or pattern.

3. Text legibility test

Real text in the most common color combinations. The "Good" / "Bad" verdict uses WCAG 2.1 AA contrast (4.5:1) on the selected vision — text marked "Good" remains legible to someone with that CVD.

4. Ishihara plate test (click to reveal)

3 digital plates inspired by Dr. Shinobu Ishihara's 1917 test. People with normal vision should see a number; people with red-green CVD see a different number (or none). Click a plate to reveal the answer. This is a screening aid, not a clinical exam — see an eye doctor for diagnosis.

5. Upload your own image

Drop any image (PNG, JPG, WebP, GIF — up to 5 MB). The simulator will re-render it in the selected vision type using pixel-level transformation. Try a screenshot of your app, a chart, or a logo. The image stays on your device — nothing is uploaded.

📁 Click to choose or drag an image here

Max 5 MB · PNG / JPG / WebP / GIF

Frequently Asked Questions

What is color blindness?

Color blindness (color vision deficiency, or CVD) is a genetic condition that affects how the eye perceives certain colors. The most common form is red-green color blindness, which affects about 8% of men and 0.5% of women of Northern European descent. It is caused by a missing or defective type of cone cell in the retina — the L (long/red), M (medium/green), or S (short/blue) cone. People with normal vision have all three cone types working; people with color blindness are missing or have reduced sensitivity in one of them.

What are the 3 types of color blindness?

The three main types are: (1) Protanopia — red-blind, the L-cone is missing. About 1% of men. Reds appear darker and more brownish; reds and greens can look similar. (2) Deuteranopia — green-blind, the M-cone is missing. About 6% of men (the most common). Greens appear more beige; reds and greens can be hard to tell apart. (3) Tritanopia — blue-blind, the S-cone is missing. Very rare (0.01%). Blues appear greenish; yellows appear pinkish. Each type also has an "anomalous" form (protanomaly, deuteranomaly, tritanomaly) where the cone is present but less sensitive — these cause milder color confusion and are more common than the full blind forms.

What colors are color blind people blind to?

It depends on the type. Red-green color blindness (protanopia and deuteranopia) makes it hard to distinguish reds from greens, browns from greens, pinks from grays, and oranges from yellows. The most problematic color pairs are red/green and brown/green. Blue-yellow color blindness (tritanopia) makes it hard to distinguish blues from greens, yellows from violets, and dark blues from black. Monochromacy (achromatopsia) means seeing only in grayscale — no colors at all. Importantly, color blind people are not "blind" to a color — they see the world, just with two cones instead of three, so colors get confused.

How do I design for color blind users?

Five practical rules: (1) Never use color as the only signal — always pair color with a label, icon, or shape. For example, a red "error" message should also have an X icon or the word "Error". (2) Use high contrast — WCAG AA requires 4.5:1 contrast for body text. Check with our Color Contrast Checker. (3) Test in deuteranopia simulator (the most common, 6% of men) at minimum. (4) Use blue/orange instead of red/green for charts — these are the most distinguishable across all CVD types. (5) Add patterns or textures in addition to color (stripes, dots) for data visualization. The WebAIM checklist and WCAG 2.1 SC 1.4.1 (Use of Color) are the official standards.

Is this simulator accurate?

Yes — the simulation uses the Brettel-Viénot-Mollon transformation matrices (1997), which are the most-cited color vision simulation method in academic research and the same one used by Chrome DevTools and Adobe Photoshop. The matrices are calibrated for the sRGB color space and produce results within 1-2% perceptual accuracy compared to clinical trials. For anomalous trichromacy (protanomaly, deuteranomaly, tritanomaly) we use Machado et al. (2009) matrices with 0.6 severity, the standard reference simulation strength. Note: the simulation is applied pixel-by-pixel in linear RGB — not perfect (the actual human visual system is more complex) but accurate enough for design verification.

What is the Ishihara test?

The Ishihara test is the most widely used screening tool for red-green color blindness. It consists of plates filled with colored dots arranged to form a number (or path) that is visible to people with normal vision but invisible or different for people with red-green CVD. The original test was developed by Dr. Shinobu Ishihara in 1917 and has 38 plates. A typical screening uses 24 plates. People with normal vision see one number; people with red-green color blindness see a different number or no number at all. Our simulator includes 3 simplified digital plates that test the same principle. A digital test cannot replace a clinical exam (lighting, screen calibration, and dot generation vary), but it is a useful first-pass check.

🎨 6 design tips for accessibility

💡 Don't use color alone

WCAG 2.1 SC 1.4.1 (Use of Color) is the most-cited accessibility violation. Always pair color with a label, icon, pattern, or shape. "Red = error" is fine if there's also an X icon. "Red line in chart" is fine if it's also dashed. The Coblis-style confusion charts above show why.

💡 Use blue + orange for data viz

Blue (#1f77b4) and orange (#ff7f0e) are the most distinguishable color pair across all 8 CVD types — they don't get confused in protanopia, deuteranopia, or tritanopia. This is why Tableau, D3.js, and matplotlib default to this pair. Pair with our color palette generator to find more accessible pairs.

💡 Check text contrast, not just color identity

Two colors can pass the "looks different" test but fail the "4.5:1 contrast" test required by WCAG AA. The legibility section above shows real text rendered in common pairs — see which combinations actually survive in the selected vision. For a deep check, use our accessibility checker which covers WCAG 2.1 AA/AAA + 3.0 APCA.

💡 Test in deuteranopia first

Deuteranopia is the most common (6% of men) so if you only have time to test one type, test this one. If your design works in deuteranopia, it will usually work in protanopia and tritanomaly too. Achromatopsia (1 in 33,000) is the most extreme — designs that work in achromatopsia work everywhere but are rare to need to test against.

💡 Add patterns + texture, not just color

For charts: use solid/dashed/dotted line styles in addition to color. For data tables: use icons, arrows, or text labels. For status indicators: use shapes (✓, ✗, !) in addition to color. This is the "double-encoding" rule and it's the single most effective accessibility fix.

💡 Red + green is the worst pair

Almost 1 in 12 men can't reliably distinguish red from green. This is why stock charts, error/success indicators, and traffic-light UIs all need to add a second signal. The same goes for brown/green (often confused in deuteranopia) and pink/gray (often confused in protanopia). Audit your design for these pairs first.

📚 Resources for accessible design

🎨 Color & Accessibility Books
Top picks on WCAG, color theory, inclusive design. Curated for designers and devs.
📐 UI/UX Design Principles
Universal design, accessibility-first patterns, and inclusive UX from leading practitioners.

Related Tools

Once you've checked how your designs read for color-vision differences, these five tools extend the same accessibility-first thinking to contrast, palette, and the rest of the design workflow.