Select Color
#ffa500
Web Orange
Simulator Caecitatis
Inspice quomodo color ab hominibus cum variis generibus daltonismi percipiatur ut designia magis accessibilia crees. Intellegere perceptionem colorum adiuvat ut contenta tua omnibus pateant.
Impactus
Octo centesimae virorum et 0.5 centesimae feminarum aliquam formam defectus visionis colorum habent.
Genera
Caecitas rubro-viridis est frequentissima, afficiens quomodo rubri et virides percipiantur.
Melius Designa
Utere contrasto et formis una cum colore ad informationem exprimendam.
Color Originalis
#ffa500
Web Orange
Hoc modo color apparet cum visione colorum normali.
Caecitas Rubro-Viridis (Protanopia)
Protanopia
1.3% virorum, 0.02% mulierum
Quomodo apparet
#dedd55
Protanomalia
1.3% virorum, 0.02% mulierum
Ruber-Viridis Partialis (Deuteranopia)
Deuteranopia
1.2% virorum, 0.01% mulierum
Quomodo apparet
#e3e95e
Deuteranomalia
5% virorum, 0.35% mulierum
Caecitas Caeruleo-Flava (Tritanopia)
Tritanopia
0.001% virorum, 0.03% mulierum
Quomodo apparet
#fb7075
Tritanomalia
0.0001% incolarum
Caecitas Colorum Completa
Achromatopsia
0.003% incolarum
Quomodo apparet
#b8b8b8
Achromatomalia
0.001% incolarum
Nota: Hae simulationes sunt approximationes. Perceptio colorum actualis inter homines cum eodem genere daltonismi variari potest.
Understanding Color Blindness
Create inclusive designs by testing color accessibility
Color blindness affects approximately 1 in 12 men and 1 in 200 women worldwide. This simulator helps designers, developers, and content creators understand how their color choices appear to people with various forms of color vision deficiency.
By testing your colors through different color blindness simulations, you can ensure your designs are accessible and effective for all users. This tool simulates the most common types of color vision deficiency including Protanopia, Deuteranopia, Tritanopia, and complete color blindness.
Why It Matters
Color alone should never be the only way to convey information. Testing with this simulator helps identify potential issues.
Use Cases
Perfect for UI design, data visualization, branding, and any visual content that relies on color differentiation.