DiamanteOutline-Bold
Similar fonts
- 203179a337b60044 - subset of Vita Std Thin Ita
- Aloevera condensed W05 Thin It
- AMX Light Italic
- Ana Banana Trial Hairline
- Campeche Display Cn ExtraLight
- Conta Mono ExtraLight
- ContoSlabTRY-ThinItalic
- ContoTRY-Thin
- DBMeritX-UltraLiCondIt
- FXNeofara-ThinItalicOutline
- Gardenia-UltraLightItalic
- Geogrotesque-UltraLightItalic
- GeogrotSharp TRIAL UltraLight Italic
- Graublau Slab ExtraLight Italic
- Grenze 100
- GuardianSansCond-ThinItalic
- IntervalSansProCond-UltLtIt
- MadrasExtraLightItalic
- Margin MVB Extra Light Italic
- NaN Rage Sans Condensed-TRIAL ExtraLight
- NaN Rage Slab Condensed-TRIAL ExtraLight
- National 2 Narrow Test Italic
- PC Navita Thin-Oblique
- PensumDEMO-Thin
- RB Rational Neue Narrow Unlicensed Test ExtraLight Italic
- Rotina Script ExtraThin Unlicensed Trial
- Semana Serif Thin Italic
- SolProCond-LightItalic
- Sprout Thin Italic
- The Shoreman Hand Outline
- True Sans Mono Trial Thin
- Typograf Condensed_Trial ExtraLight
- Typograf Condensed_Trial ExtraLight Italic
Details
How are we calculating this?
We analyze each font added to FontBase locally using the opentype.js library. We render the text off-canvas and measure key characteristics: stroke width; difference between bold and thin strokes; the relation of "x" letter height to capital letters; width of the letters compared to height; "i" size compared to "w" size. From these calculated numbers, we then build weight, proportion, xHeight and contrast. We also analyze the font's naming table to retrieve the basic info like font name, foundry and style names. No fonts are uploaded to our servers in the process.
How do we determine similar fonts?
Based on the characteristics we retrieve, on each font page, we select the fonts that have all the same parameter numbers. For example, if a font has 0.6 weight, we select fonts from our database that are in the range of 0.5-0.7 weight. We do this with all parameters combined, resulting in a similar font selection.