Sans Superellipse Ofrop 13 is a very bold, normal width, low contrast, upright, normal x-height font visually similar to 'Artegra Soft' by Artegra, 'Korolev Rounded' by Device, 'Grupi Sans' by Dikas Studio, 'Fester' by Fontfabric, 'Trade Gothic Next Soft Rounded' by Linotype, 'MVB Diazo' by MVB, and 'Ravager' by Rillatype (names referenced only for comparison).
Keywords: headlines, packaging, posters, kids branding, stickers, playful, friendly, chunky, retro, approachability, impact, simplicity, branding, rounded, soft, puffy, cartoonish, bubbly.
A heavy, rounded sans with soft superelliptical construction and generous corner radii throughout. Strokes are thick and largely uniform, with rounded terminals and smooth joins that keep counters compact but clear. The geometry leans toward squarish bowls and rounded-rectangle shapes, producing a steady, blocky rhythm in text. Ascenders and descenders are relatively short, and the overall silhouette stays compact, with simplified forms and minimal interior detail.
Best suited to headlines, short statements, and branding where a bold, friendly presence is needed—such as packaging, posters, event titles, and playful product identities. It can work in brief UI labels or signage when set large, but the tight counters and chunky density make it less ideal for long-form reading at small sizes.
The tone is warm and approachable, with a toy-like, hand-friendly presence that feels casual and upbeat. Its chunky shapes and softened edges suggest a lighthearted, slightly retro display voice that favors charm over formality.
The design appears intended to deliver maximum visual impact with a soft, approachable personality, using rounded-rectangle construction and simplified details to stay legible and cohesive in bold display settings.
Uppercase forms read sturdy and poster-like, while lowercase maintains the same inflated, rounded logic for strong stylistic consistency. Numerals are equally bold and friendly, matching the letterforms with rounded corners and compact apertures that prioritize a cohesive set over sharp differentiation at small sizes.