Select Color
#a52a2a
≈ Mexican Red
Simulator Buta
Priksa carane werna dirasakake dening wong sing duwe macem-macem buta warna kanggo nggawe desain sing luwih gampang diakses. Pangertosan persepsi warna mbantu njamin konten sampeyan bisa diakses kabeh wong.
Dampak
8% wong lanang lan 0,5% wanita duwe sawetara cacat sesanti warna.
Jinis
Kebutaan abang-ijo paling umum, mengaruhi cara dirasakake abang lan ijo.
Desain luwih apik
Gunakake kontras lan pola bebarengan karo werna kanggo ngirim informasi.
Warna Asli
#a52a2a
Mexican Red
Iki carane werna katon karo sesanti werna normal.
Buta Abang-Ijo (Protanopia)
Protanopia
1,3% wong, 0,02% wanita
Carane katon
#82812a
Protanomaly
1,3% wong lanang, 0,02% wong wadon
Abang-Ijo Parsial (Deuteranopia)
Deuteranopia
1,2% wong, 0,01% wanita
Carane katon
#878e2a
Deuteranomali
5% wong lanang, 0,35% wong wadon
Buta Biru-Kuning (Tritanopia)
Tritanopia
0,001% wong lanang, 0,03% wong wadon
Carane katon
#a12a2a
Tritanomaly
0,0001% saka populasi
Buta Warna Lengkap
Akromatopsia
0,003% saka populasi
Carane katon
#585858
Achromatomaly
0,001% saka populasi
Cathetan: Simulasi iki minangka perkiraan. Persepsi warna sing nyata bisa beda-beda ing antarane wong sing duwe buta warna sing padha.
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.