Sans Superellipse Abmon 9 is a regular weight, normal width, low contrast, upright, normal x-height font visually similar to 'Carnac', 'Carnas', 'Orgon', and 'Orgon Plan' by Hoftype (names referenced only for comparison).
Keywords: ui design, product design, branding, signage, editorial, clean, modern, friendly, neutral, tech, clarity, neutrality, modernization, approachability, rounded, geometric, soft-cornered, open apertures, high legibility.
A clean geometric sans with gently rounded corners and superelliptical curves that keep forms compact and even. Strokes are uniform and steady, with smooth joins and minimal modulation. Round letters like O, C, and G read as softened rectangles rather than perfect circles, while straight-sided characters (E, F, H, N) maintain crisp verticals and horizontals. Lowercase shapes are simple and open, with a single-storey a and g, short, unobtrusive terminals, and clear, unembellished figures that align well in text.
Well-suited for interface typography, dashboards, and product design where clarity and a steady rhythm are important. It also fits contemporary branding and packaging that benefit from a neutral, friendly voice, and it can hold up in signage or editorial settings where clean, modern forms are preferred.
The overall tone is contemporary and approachable, combining a technical cleanliness with softened geometry. It feels calm and matter-of-fact rather than expressive, with enough warmth from the rounded shaping to avoid a stark, clinical look.
The design appears intended to deliver a highly legible, contemporary sans with softened geometry—balancing strict construction with rounded corners for a more approachable feel. It prioritizes consistency across uppercase, lowercase, and numerals to work reliably in both display lines and everyday reading.
Counters are generous and apertures stay open in letters like e, c, and s, supporting clarity at smaller sizes. The numerals are straightforward and consistent with the rounded-rectilinear construction, giving UI-style stability in mixed text and data.