Sharp Bancha
Sharp Bancha (#08C08B) is a true teal with a cool character. It leans cool, sitting on the blue, green, and violet side of the wheel. Quiet and dependable, a fit for product UI and data visualization. Its HSL profile (163°, 92%, 39%) places it in the highly saturated band at a mid lightness. Best used in small doses, like logos, CTAs, focus rings, or highlight text, where its saturation becomes a feature rather than noise. For a confident two-color system, pair it with its complementary red. For something softer, pull in its analogous neighbors on either side of the wheel.
Etymology
Old English scearp, cutting, pointed — applied metaphorically to color since the seventeenth century for hues that read as definite and edge-defined. Sharp red, sharp green: the implication is saturation combined with high-contrast crispness. Sits in the bright-bucket center alongside crisp and clear, with a slightly more incisive edge.
The Japanese green tea made from later-season Camellia sinensis leaves — milder than sencha, lower in caffeine, and traditionally drunk with meals across rural Japan. The color refers to fresh-brewed bancha: a soft, slightly cool deep blue-green with the optical clarity of late-season green-tea liquor.
Closest matches
The nearest named color in three reference sources, ranked by perceptual distance (ΔE76 in CIELAB). ΔE < 1 is imperceptible to most viewers; ΔE > 10 is clearly different. When two sources point to the same hex they’re merged into one tile; click any to open that color’s page.
Variations
Click any swatch to exploreHarmonies
Accessibility
How this color appears to viewers with the four major color-vision-deficiency types. Computed via the Machado (2009) physiologically-based model. If a tile matches the original, the color reads the same to that viewer.
The color used as foreground text against pure white and pure black, with the contrast ratio and WCAG 2.1 grade. Aim for AA (4.5:1) for body text and AA Large (3:1) for 18 pt+ headlines; AAA (7:1) is the gold standard for long-form reading surfaces.