Cirquemount
Similar fonts
- 1d0e8cb57cd082f3 - subset of Uni Grotesk Cond Std Bld
- AntitledBold
- Averta Condensed PE Extrabold Italic
- CS Aquba Italic
- DelmBold
- Diamante Bold
- Eureka Mono Offc Cond Bold
- Eureka Sans Offc Cond Bold
- EurekaMonoPro-CondBold
- EurekaSansPro-CondBold
- Fb MatadorEn Bold
- FSP DEMO - Klk Bld Cndnsd tlc Regular
- Futura ND Alt Cn W03 Bold Obl
- Futura New Cond Bold Obl
- Futura PT Cond Bold Obl
- FuturaCondensedCE-BoldOblique
- FuturaFuturisXCond Regular
- FuturaNDCn-BoldOblique
- FuturaTEE-BoldCondObli
- Gealman Bold
- Hynole
- Kapra Neue Pro Bold Italic
- KristallHMfDPro-BoldCon
- KristallHMfDPro-CondensedBold
- Kruda-NarrowBlack
- Prelude Compressed Pro Black
- Prelude Compressed Pro Black Italic
- Rubi Kido
- Sandoll 60 04 SemiBold
- SansSerifExbFLFCond-Italic
- Sarem Waris Ghaffoor
- ShellCondensedBold
- SP FuturML Cond BoldOblique
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.