Select Color
#a52a2a
≈ Mexican Red
Makaho Simulator
Bincika yadda mutane masu nau'in makanta masu launi daban-daban suke ganin launi don ƙirƙirar ƙira mai sauƙi. Fahimtar fahimtar launi yana taimakawa tabbatar da samun damar abun cikin ku ga kowa da kowa.
Tasiri
8% na maza da 0.5% na mata suna da wani nau'i na rashin hangen nesa.
Nau'ukan
Jajayen makanta ya fi zama ruwan dare, yana shafar yadda ake gane ja da kore.
Zane Mafi Kyau
Yi amfani da bambanci da alamu tare da launi don isar da bayanai.
Launi na asali
#a52a2a
Mexican Red
Wannan shine yadda launi ke bayyana tare da hangen nesa na al'ada.
Red-Green Makaho (Protanopia)
Protanopia
1.3% na maza, 0.02% na mata
Yadda ya bayyana
#82812a
Protanomaly
1.3% na maza, 0.02% na mata
Jan-Green Partial (Deuteranopia)
Deuteranopia
1.2% na maza, 0.01% na mata
Yadda ya bayyana
#878e2a
Deuteranomaly
5% na maza, 0.35% na mata
Blue-Yellow Blindness (Tritanopia)
Tritanopia
0.001% na maza, 0.03% na mata
Yadda ya bayyana
#a12a2a
Tritanomaly
0.0001% na yawan jama'a
Cikakken Makanta Launi
Achromatopsia
0.003% na yawan jama'a
Yadda ya bayyana
#585858
Achromatomaly
0.001% na yawan jama'a
Lura: Waɗannan simintin ƙididdiga ne. Haƙiƙanin launi na iya bambanta tsakanin mutane masu nau'in makanta launi iri ɗaya.
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.