Fuzar Condensed Regular
Similar fonts
- ABC Favorit Compressed Trial Book
- ABC Favorit Compressed Unlicensed Trial Book Italic
- Ballinger XCondensed TEST Regular
- BentonSans ExtraCondensed Regular
- BoomerSerifExtraCond-Light
- Bw Fusiona DEMO 35 Regular
- ColbyCondensed-Light
- Costco Sans XCondensed Regular Italic
- East-MediumOblique
- East-RegularOblique
- Enduro Condensed Italic
- F37 Judge Trial Regular Condensed Italic
- Forma DJR Banner Cd It
- Forma DJR Dck Cd It
- FSP DEMO - Palo Compressed Italic
- Gimbal Egyp Comp Reg
- Gimbal Grotesque Compressed Regular
- Graphik XCond Web Regular Regular
- GTAmericaTrialCompLight-Italic
- HooliganJF Regular
- LFTEticaComp-Italic
- Mandey Black Slanted
- Molde Condensed Medium Reverse
- One Night Sans Condensed
- Pathway Extreme 28pt Condensed Light
- Pilat Condensed Test Book
- PP Right Grotesk Tall Bold Italic
- Ranga Regular
- ResolveSans-CondensedItalic
- Scotus Sans Compressed Regular Italic
- Sole24Sans Number Regular Cmp
- StickmoBolditalic
- Terminax W02 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.