Sans Superellipse Afker 4 is a regular weight, normal width, low contrast, upright, normal x-height font.
Keywords: ui, app design, wayfinding, branding, packaging, tech, clean, modern, friendly, futuristic, modernization, clarity, ui utility, geometric identity, rounded, geometric, squarish, monoline, soft corners.
A rounded geometric sans with a pronounced superellipse construction: curves resolve into rounded-rectangle bowls and counters, and terminals are consistently softened rather than sharply cut. Strokes are largely monoline, producing even color and a steady rhythm across text. Many forms lean toward squared apertures and corners (notably in C/G/S and the numerals), while verticals and horizontals stay straightforward and mechanical. Lowercase shapes are compact and tidy, with simple single-storey constructions and clear, open counters; the overall spacing reads slightly generous for crisp on-screen rendering.
Well-suited to interface typography, dashboards, labels, and product branding where a modern, engineered feel is desirable. The uniform strokes and rounded geometry make it effective for headings, short paragraphs, and navigation text, especially in digital environments and signage where clarity and consistency matter.
The tone is contemporary and tech-forward while remaining approachable due to the softened corners and smooth, rounded geometry. It suggests UI hardware/software aesthetics—precise, streamlined, and controlled—without feeling cold or overly clinical.
The design appears intended to blend geometric precision with friendly rounding, creating a contemporary sans that feels engineered yet approachable. Its consistent superellipse vocabulary aims to provide a distinctive modern identity while maintaining straightforward readability in functional settings.
Round letters often read as rounded rectangles rather than circles, giving the design a distinctive “soft-square” silhouette. Numerals follow the same logic, with squared curves and consistent rounding that keeps figures cohesive in UI and data contexts.