Sans Superellipse Onrir 3 is a bold, wide, low contrast, upright, normal x-height font visually similar to 'Autoprom Pro' by Stefan Stoychev (names referenced only for comparison).
Keywords: headlines, ui labels, wayfinding, posters, branding, tech, futuristic, industrial, clean, utilitarian, sci-fi ui, system design, modern signage, geometric clarity, rounded corners, squared curves, monoline, geometric, extended proportions.
A geometric sans built from squared curves and superellipse-like bowls, with consistently rounded corners and largely monoline strokes. The design favors broad, extended proportions and open counters, producing a steady, engineered rhythm across text. Terminals are predominantly horizontal or vertical, and many forms resolve into rounded-rectangle shapes (notably in O, D, and numerals), while diagonals in letters like V, W, X, and Y remain crisp and stable. Overall spacing reads even and intentional, supporting clear word shapes at display and interface sizes.
It performs best where a contemporary, engineered look is desired: headlines, UI labeling, dashboards, product marks, packaging, and wayfinding. Its broad proportions and simplified curves also suit short-to-medium setting in tech-oriented editorial or promotional layouts where clarity and tone are more important than typographic warmth.
The overall tone is technical and forward-looking, with a clean, device-like feel reminiscent of sci‑fi interfaces, instrumentation, and modern product labeling. Rounded corners soften the geometry, keeping the voice approachable while still precise and mechanical.
The design appears intended to deliver a cohesive, systemized geometric voice built around rounded-rectangular construction—balancing a futuristic aesthetic with straightforward legibility for modern digital and environmental applications.
Distinctive squared bowls and flattened curves give the face a strong signage presence and high silhouette consistency. The numerals mirror the same rounded-rectangle construction, maintaining a cohesive system feel between text and data.