Select Color
#00ffff
Cyan / Aqua
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
#00ffff
Cyan / Aqua
Iki carane werna katon karo sesanti werna normal.
Buta Abang-Ijo (Protanopia)
Protanopia
1,3% wong, 0,02% wanita
Carane katon
#b0b1ff
Protanomaly
1,3% wong lanang, 0,02% wong wadon
Abang-Ijo Parsial (Deuteranopia)
Deuteranopia
1,2% wong, 0,01% wanita
Carane katon
#a595ff
Deuteranomali
5% wong lanang, 0,35% wong wadon
Buta Biru-Kuning (Tritanopia)
Tritanopia
0,001% wong lanang, 0,03% wong wadon
Carane katon
#3fffff
Tritanomaly
0,0001% saka populasi
Buta Warna Lengkap
Akromatopsia
0,003% saka populasi
Carane katon
#e5e5e5
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.