Aspira-XXNarItalic
Similar fonts
- AbsolutPro-Light
- AlwynNew-Light
- Anivers-Regular2
- Arch
- AspiraXXNar-Regular
- Bebas Neue Pro SemiExpanded Middle Italic
- Boodle W05 Regular
- Bunday Clean SemiLight
- Cabrito Sans Cond Regular
- Corporative Sans Cnd TAB Regular Italic
- CorporativeSansCnd-Regular
- Datatype Condensed Thin
- Datatype ExtraCondensed SemiBold
- Datatype ExtraExpanded Black
- Datatype SemiCondensed ExtraBold
- Datatype SemiExpanded ExtraLight
- Datatype SemiExpanded Light
- Datatype UltraCondensed Bold
- Dezen Pro Light
- FSP DEMO - Mld SmCndnsd- Rvrs Regular
- Iosevka Type Italic
- Iosevka Type Slab Italic
- IosevkaTermSlab NFP Oblique
- Korb-Italic
- Microsoft YaHei Boot
- Netflix Sans Cd Light
- Neusa Next Std Condensed Italic
- PP Pangram Sans Rounded Condensed Medium Reclined
- Roboto Condensed Italic Variable
- Sudo Text Regular Italic
- Sudo Var Regular
- TTOctosquaresCond-XLight
- Uniform Rounded Condensed Regular
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.