Sans Normal Armiz 25 is a regular weight, normal width, low contrast, upright, normal x-height font visually similar to 'Rafine' by Fontmachine (names referenced only for comparison).
Keywords: ui text, product design, signage, editorial, presentations, clean, modern, neutral, tech, friendly, clarity, versatility, modernity, neutral branding, legibility, geometric, crisp, monoline, open apertures, rounded terminals.
A clean, monoline sans with largely circular and elliptical construction, giving round counters and smooth curves throughout. Strokes are even and crisp, with straightforward joins and minimal modulation. Proportions feel balanced, with generous internal space in letters like O, Q, e, and g, and clear, open apertures in C, S, and a. The uppercase set reads orderly and stable, while the lowercase maintains a simple, contemporary rhythm with uncluttered shapes and rounded terminals.
It suits interface and product typography where clarity and a clean rhythm are important, as well as modern branding systems that need a neutral sans with a geometric backbone. It should work well for headings and short-to-medium passages in editorial layouts, and for signage or wayfinding where open counters and straightforward shapes aid legibility.
The overall tone is neutral and contemporary, with a quietly technical polish. Its geometric clarity feels modern and efficient, yet the rounded forms keep it approachable rather than stark. The font projects clarity and calm, making it easy to read without calling attention to itself.
The design appears intended as a versatile, contemporary sans that prioritizes clarity, consistency, and a geometric, round-built structure. It aims to perform as a dependable general-purpose typeface that stays visually restrained while remaining friendly and readable.
Figures are simple and consistent with the letterforms, matching the same even stroke logic and rounded curves. The sample text shows steady spacing and a smooth texture at larger sizes, with clean word shapes and clear differentiation across mixed-case settings.