Colorblind simulator

Colorblindness Simulator for Images

See how your image looks to people with protanopia, deuteranopia, or tritanopia — a fast accessibility check.

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Colorblindness Simulator for Images

Roughly one in twelve men and one in two hundred women have some form of color vision deficiency (CVD). If your charts, dashboards, maps, or UI rely on color alone to carry meaning, a sizable share of your audience may not see the distinction you intended. This simulator re-renders an image the way it would appear with the three common types of color blindness, so you can check your work in seconds.

It covers protanopia and deuteranopia (the two red–green deficiencies, by far the most common) and tritanopia (a rarer blue–yellow deficiency). The transformation is applied in linear light for a perceptually reasonable approximation — close enough to reveal the problems that matter, like a red/green status indicator collapsing into two near-identical tones.

Use it on legends, call-to-action buttons, heatmaps, and infographics. If two categories become hard to tell apart in any simulation, add a non-color cue — a label, pattern, icon, or shape — so the meaning survives for everyone. You can export the simulated image to share the issue with your team.

How to simulate colorblindness on an image

  1. Add your image — a chart, UI screenshot, or graphic works well.
  2. Pick a type — protanopia, deuteranopia, or tritanopia.
  3. Compare — the preview re-renders so you can spot lost contrast.
  4. Download — save the simulated image as PNG, JPG, or WebP.

Tip: never rely on color alone

The most robust fix is redundancy: pair every color with a second signal — text, an icon, a pattern, or position. That way the information is legible regardless of how a viewer perceives color.

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Perguntas frequentes

What types of color blindness can I simulate?

Protanopia and deuteranopia (red–green) and tritanopia (blue–yellow) — the three most common forms of color vision deficiency.

How accurate is the simulation?

It's a perceptually reasonable approximation applied in linear light. It's meant for spotting accessibility problems, not for clinical diagnosis.

Why does my chart look fine but my legend doesn't?

Legends often pack similar hues close together. Under red–green simulation those can collapse into near-identical tones — a sign you should add labels or patterns.

Can I save the simulated image?

Yes. Export it as PNG, JPG, or WebP to document the issue or share it with your team.

Where is my image processed?

It happens in your browser, so the result is created on your own device. How any data associated with the tool is handled is described in our privacy policy.

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