Select Color
#a52a2a
≈ Mexican Red
Bofu Simulator
Tarisa kuti ruvara runoonekwa sei nevanhu vane marudzi akasiyana ehupofu hwemavara kuti vagadzire madhizaini anowanikwa. Kunzwisisa maonero eruvara kunobatsira kuona kuti zvirimo zviri kuwanikwa nemunhu wese.
Impact
8% yevarume uye 0.5% yevakadzi vane imwe nzira yekushomeka kwemavara ekuona.
Types
Upofu hutsvuku-hwegirini hunowanzoonekwa, hunokanganisa kuti zvitsvuku nemagirini zvinoonekwa sei.
Dhizaini Zvirinani
Shandisa musiyano uye mapatani pamwe neruvara kuti upe ruzivo.
Original Color
#a52a2a
Mexican Red
Aya ndiwo maratidziro eruvara nekuonekwa kwemavara.
Dzvuku-Green Upofu (Protanopia)
Protanopia
1.3% yevarume, 0.02% yevakadzi
Inoratidzika sei
#82812a
Protanomaly
1.3% yevarume, 0.02% yevakadzi
Tsvuku-Grinhi Padivi (Deuteranopia)
Dheuteronomio
1.2% yevarume, 0.01% yevakadzi
Inoratidzika sei
#878e2a
Deuteranomaly
5% yevarume, 0.35% yevakadzi
Bhuruu-Yero Upofu (Tritanopia)
Tritanopia
0.001% yevarume, 0.03% yevakadzi
Inoratidzika sei
#a12a2a
Tritanomaly
0.0001% yevanhu
Complete Color Blindness
Achromatopsia
0.003% yevanhu
Inoratidzika sei
#585858
Achromatomaly
0.001% yevanhu
Ongorora: Aya mafananidziro kufungidzira. Maonero chaiwo eruvara anogona kusiyana pakati pevanhu vane rudzi rumwe rweupofu hwemavara.
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.