Preview Color Blindness

Simulate how your images appear to people with color vision deficiencies.

The Color Blindness Preview tool simulates how your images appear to people with various types of color vision deficiency. Upload any image and instantly see it rendered through 7 different simulation types including protanopia, deuteranopia, tritanopia, achromatopsia, and their anomalous (partial) counterparts. All processing runs locally in your browser using scientifically validated Brettel/Vienot color transformation matrices for accurate results.

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Tutorial

How to use

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Upload your image

Drag and drop or select any image you want to test for color accessibility.

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Review simulations

See your image through 7 different color vision deficiency types side by side with the original.

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Download results

Download individual simulations or a full comparison grid as PNG for documentation or presentations.

Guide

Complete Guide to Color Blindness Simulation

What Is Color Vision Deficiency?

Color vision deficiency (commonly called color blindness) affects how a person perceives colors due to missing or altered cone photoreceptors in the retina. The three types of cones respond to red, green, and blue light. When one type is missing (dichromacy) or has shifted sensitivity (anomalous trichromacy), the brain receives different color signals. Approximately 8% of males and 0.5% of females have some form of CVD, making it a critical consideration for any visual design project.

Types of Color Vision Deficiency

There are three main categories: Protan defects affect red cone perception (protanopia = missing, protanomaly = reduced). Deutan defects affect green cones (deuteranopia = missing, deuteranomaly = reduced). Tritan defects affect blue cones (tritanopia = missing, tritanomaly = reduced). Achromatopsia is the rarest form where no color is perceived at all. Deutan defects are the most common, affecting roughly 6% of males, followed by protan defects at roughly 2%.

How the Simulation Works

This tool applies Brettel/Vienot color transformation matrices to each pixel of your image. For each color vision type, a 3x3 matrix transforms the RGB values to approximate what the affected person would see. Full deficiencies (protanopia, deuteranopia, tritanopia, achromatopsia) use the complete transformation matrix, while partial deficiencies (anomalous types) blend the transformation with the original colors at 50% strength to simulate reduced rather than absent cone function.

Designing for Color Accessibility

After reviewing simulations, apply these principles: never rely on color alone to convey information; use patterns, shapes, or text labels alongside color coding; ensure sufficient contrast ratios (WCAG recommends 4.5:1 minimum for text); choose palettes that remain distinguishable across all CVD types; test with real users when possible. Tools like this simulator combined with contrast checkers provide a comprehensive accessibility validation workflow.

Examples

Worked Examples

Example: Test a Dashboard Color Scheme

Given: A web dashboard using red for errors, green for success, and yellow for warnings.

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Step 1: Take a screenshot of the dashboard and upload it to the Color Blindness Preview tool.

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Step 2: Review the Deuteranopia simulation: the red errors and green success states appear nearly identical in brownish tones.

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Step 3: Add icons (checkmark, X, warning triangle) alongside colors to ensure information is conveyed without relying on color alone.

Result: The dashboard now uses both color and iconography, making it accessible to users with red-green color blindness.

Example: Validate a Data Visualization

Given: A pie chart using 6 distinct colors to represent market segments.

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Step 1: Export the chart as PNG and upload it to the simulator.

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Step 2: Check protanopia and deuteranopia simulations: 3 of the 6 segments merge into similar shades.

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Step 3: Replace problematic colors with high-contrast alternatives and add pattern fills to each segment.

Result: The chart remains fully readable across all color vision types, meeting WCAG 1.4.1 (Use of Color) requirements.

Use Cases

Use cases

UI/UX Accessibility Testing

Test your web and app interfaces to ensure that buttons, alerts, and navigation elements remain distinguishable for users with color vision deficiencies. This is critical for WCAG compliance and helps designers identify problematic color combinations before launch, reducing the need for expensive post-release fixes and improving usability for approximately 300 million people worldwide.

Data Visualization Validation

Verify that charts, graphs, heatmaps, and infographics remain readable across all color vision types. Color-coded data that looks clear to typical vision may become indistinguishable under deuteranopia or protanopia; previewing helps you select accessible palettes that convey information through contrast and pattern rather than hue alone.

Brand and Marketing Materials

Check how your brand colors, marketing banners, product packaging, and social media graphics look to audiences with color vision deficiencies. Ensuring your visual identity communicates effectively to all viewers strengthens brand perception, increases engagement, and demonstrates inclusive design practices.

Frequently Asked Questions

?What types of color blindness does this tool simulate?

It simulates seven types: Protanopia (no red cones), Deuteranopia (no green cones), Tritanopia (no blue cones), Achromatopsia (total color blindness/grayscale), Protanomaly (weak red sensitivity), Deuteranomaly (weak green sensitivity), and Tritanomaly (weak blue sensitivity).

?How accurate are these simulations?

The simulations use Brettel/Vienot color transformation matrices, which are the industry-standard algorithms for color vision deficiency simulation. They provide a scientifically grounded approximation of how colors appear to affected individuals, though individual experiences may vary.

?Is this tool free?

Yes, completely free with no registration, watermarks, or limits. All processing happens locally in your browser; your images are never uploaded to any server.

?Does this tool upload my images to a server?

No. All color transformation processing is performed entirely in your browser using Canvas API. Your images never leave your device, ensuring complete privacy and data security.

?What image formats are supported?

The tool supports all common web image formats including JPG, PNG, WebP, GIF, and BMP. For best results use high-resolution images so the simulations clearly show color differences.

?How common is color blindness?

Approximately 8% of males and 0.5% of females of Northern European descent have some form of color vision deficiency. Deuteranomaly (weak green) is the most common type, affecting about 6% of males. Globally, roughly 300 million people are affected.

?Can I use the results for WCAG accessibility audits?

Yes. The simulations help you visually verify whether your designs meet WCAG 2.1 guidelines for color contrast and information conveyed through color alone. Combine these results with contrast ratio checkers for a comprehensive accessibility audit.

?What is the difference between protanopia and protanomaly?

Protanopia is the complete absence of red cone photoreceptors, resulting in full red-green color blindness. Protanomaly is a milder form where red cones exist but have shifted sensitivity, causing partial difficulty distinguishing reds from greens.

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