InputSerifCompressed Italic Testing
Similar fonts
- ABC Ginto Condensed Unlicensed Trial Regular
- BaseTwelve Sans Italic
- Blimone-Regular
- Branding SF Cnd Medium It
- CF Notche Demo Regular
- CreightonPro-BookItalic
- ef83d0dc03ee3a70 - subset of Vita Cond Std Reg Ita
- Expressway Cd Bk Italic
- F37 Judge Cyrillic Trial Regular Italic
- Fester_Trial Regular
- FSP DEMO - Bebas Neue Pro Italic
- FSP DEMO - Plsm Lght Cndnsd Regular
- Gamestation-Condensed
- Georama SemiCondensed Medium Italic
- Gimbal Grotesque Compressed Regular
- Google Sans Flex Rounded 36pt UltraCondensed Regular
- Hansom Slab FY Regular
- Ioskeley Mono NL Medium Condensed Italic
- K-haus 105 Medium
- Korb
- Makna Sans Display Regular
- neue Unikat Round Trial Regular Right
- neue Unikat Trial Regular Right
- PannoText-MediumItalic
- Proxima Nova Extra Condensed Medium Italic
- PT Sans Narrow Regular
- Reader Condensed Pro Regular
- Sofia Sans Condensed Italic
- SouthFork-CondensedRegular
- Ubuntu Condensed Regular
- VC Cardinal Trial Medium
- VerbCompressed
- VistaSansNarOTCE-Book
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.