Sans Normal Ignij 7 is a regular weight, normal width, low contrast, upright, normal x-height font visually similar to 'Oktah Round' by Groteskly Yours, 'Duplet Rounded' by Indian Type Foundry, 'Averta Standard PE' by Intelligent Design, 'Avenir Next Rounded' by Linotype, and 'Core Sans C' and 'Core Sans CR' by S-Core (names referenced only for comparison).
Keywords: branding, packaging, ui, headlines, signage, friendly, modern, clean, approachable, playful, approachability, clarity, modernity, brand tone, ui readability, rounded, soft, geometric, monoline, open counters.
A rounded, geometric sans with smooth, monoline strokes and consistently softened terminals. Letterforms lean on circular bowls and open apertures, with simple, uncluttered construction and even rhythm. Curves are broad and steady, joins are clean, and the overall texture stays uniform across uppercase, lowercase, and numerals, producing a clear, contemporary page color.
Well-suited for brand identities, packaging, and marketing where a friendly modern voice is needed. It performs confidently in headlines and short paragraphs, and its rounded, even stroke language also makes it a good fit for UI labels, product naming, and signage where clarity and warmth should coexist.
The softened geometry and round finish give the type a warm, welcoming tone rather than a strict technical one. It reads as contemporary and approachable, with a subtly playful character that stays controlled enough for everyday UI and brand use.
The design appears aimed at delivering a contemporary geometric sans that feels human and accessible through rounded terminals and open, simplified shapes. It prioritizes visual smoothness and consistency to create an easygoing tone while retaining clear letter differentiation for practical reading.
Uppercase forms feel stable and straightforward, while lowercase shapes keep a friendly, rounded demeanor (notably in the single-storey-style simplicity of several forms). Numerals are clear and sturdy with generous curves, supporting quick recognition in short strings and interface contexts.