WCAG 2.1 Compliant & Daltonized Color Correction

Colorblind Friendly Color Palette Generator

Generate, test, and customize accessible color palettes by exact color count (2 to 24 colors) and use-case. Includes real-time Daltonized correction, 360° color wheel analysis, and instant code export for Python, R ggplot2, and Tailwind.

✓ 2-Color Binary 📈 3-Color Trend (Up/Down/Neutral) 🔬 Okabe-Ito & Paul Tol 💻 Python / R / CSS Export

Interactive Palette Builder & Preset Explorer

Filter standard accessible palettes by count or specific industry workflow.

Fully Editable & Live Fix

8 Colors

Original Palette (Okabe-Ito)

Click swatch to pick color · Click HEX to copy

Colorblind Vision & Daltonized Correction Matrix

Algorithmic Hue Shift Ready

🎡

360° Color Wheel Analysis

Real-time Nodes

How it works?

Nodes show HSL hue angles ($0^\circ-360^\circ$) and saturation levels.

Vision Collapse Alert

Under Deuteranopia, red & green nodes collapse onto the Yellow-Blue axis.

Colorblind Friendly Palettes by Exact Color Count

Choose the right number of colors for binary charts, 3-tier trends, 5-point Likert scales, or complex 12-category plots.

2-Color Binary Palette 2 Elements

#0072B2

#E69F00

Best for: A/B test charts, binary comparisons (Yes/No, Active/Inactive), and two-line trend graphs. Pure Blue and Amber Orange provide maximum luminance separation for both Deuteranopia and Protanopia viewers.

3-Color Trend & Status Up/Down/Neutral

#0072B2

#D55E00

#94A3B8

Best for: Executive dashboards, financial KPI trackers, and status indicators. Replaces problematic Red/Green with Blue (Positive / Up), Vermilion Orange (Negative / Down), and Slate Gray (Neutral).

5-Color Likert / Centered 5 Points

Best for: Survey responses (Strongly Disagree to Strongly Agree), customer satisfaction scores (CSAT), and diverging correlation matrices.

Data Visualization Guide

Using Accessible Palettes in Python, R & Geopandas

Ensure your scientific publication figures (Nature, Science, Elsevier, IEEE) and corporate dashboards comply with colorblind accessibility standards without changing your favorite plotting libraries.

1. Python (Seaborn & Matplotlib)

Set universal Okabe-Ito colors across all figures using:


                        import seaborn as sns

                        okabe = ['#E69F00','#56B4E9',...]

                        sns.set_palette(okabe)

2. R (ggplot2 / Paul Tol)

Apply discrete qualitative palettes to bar plots or scatter plots:


                        library(ggplot2)

                        ggplot(df, aes(x, y, fill=group)) +

                        scale_fill_manual(values=colors)

3. GIS & Geopandas Maps

For choropleth and heatmaps, always use monotonic perceptual maps like Viridis or Cividis:


                        gdf.plot(column='rate',

                        cmap='cividis', legend=True)

Understanding Types of Color Vision Deficiency (Daltonism)

Learn how different forms of colorblindness impact visual perception in design and data visualization.

Deuteranopia

6.0% of Males

Green-blindness caused by missing M-cones. Red and green hues collapse onto yellow and blue axes. Avoid pure red/green contrast.

Protanopia

2.0% of Males

Red-blindness caused by missing L-cones. Red looks significantly darker or blackish. Require brightness variation between red and green shades.

Tritanopia

0.01% Population

Blue-blindness caused by missing S-cones. Blue and yellow collapse into pink and teal tones. Extremely rare compared to red-green CVD.

Achromatopsia

0.003% Population

Total color blindness / Monochromacy. Vision is strictly grayscale. Relies 100% on luminance contrast and shape/pattern distinctions.

Frequently Asked Questions (FAQ)

Everything you need to know about colorblind friendly palettes, Daltonism, and accessibility.

What are the best 2-color and 3-color colorblind friendly palettes?

For a 2-color binary palette, the most reliable pair is Blue (#0072B2) and Orange (#E69F00). For a 3-color status palette (Trend Up / Down / Neutral), use Blue (#0072B2) for Positive/Up, Vermilion (#D55E00) for Negative/Down, and Slate Gray (#94A3B8) for Neutral.

What is the Okabe-Ito color palette?

The Okabe-Ito palette is a set of 8 distinct colors proposed by Masataka Okabe and Kei Ito in 2002. It is engineered so that people with any type of color vision deficiency (Protanopia, Deuteranopia, Tritanopia) can clearly distinguish each hue. It is considered the gold standard for Nature and Science journal figures.

Can I use these color palettes for PowerPoint presentations and Excel reports?

Yes! You can copy the exact HEX codes into Microsoft PowerPoint, Excel, Tableau, or Google Slides. Using our accessible palettes ensures your executive decks and charts remain legible across conference room projectors and remote video calls.

What colors should I avoid for red-green colorblindness?

Avoid pairing pure Red (#FF0000) and pure Green (#00FF00) without secondary indicators. Also avoid dark green next to dark brown, and light green next to yellow. Always ensure substantial luminance (lightness) differences between adjacent data categories.

How does the Daltonized Color Correction algorithm work?

Our Daltonization algorithm calculates the perceptual error lost in the red/green photoreceptor channels and re-projects that lost contrast into the blue and lightness channels. This produces adjusted HEX codes that restore contrast for colorblind viewers while preserving aesthetic harmony.