Graphik XCondensed Super
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- ABC Gravity Extra Condensed Extra Condensed
- ABC Gravity Extra Condensed Unlicensed Trial Extra Condensed
- ABC Gravity Extra Condensed Unlicensed Trial Regular
- ABC Gravity Trial Extra Condensed Ultra
- AkzidenzGroteskBE-XBdCn
- Ancona-Cd-Heavy-Regular
- BureauGrotCond-Black
- CCMegaCityDowntown Bold
- Doni_Mako SemiCondensed
- Druk Text LCG Bold
- ETC Trispace Black Condensed
- ETC Trispace ExtraBold Condensed
- EtruscoNowCondensed Heavy
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- Inventing
- Knockout-HTF90-UltmtWelterwt
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- Mako-Bold
- Marsden Compressed Black
- Mynor-BlackCompact
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- SG Mikura ExtraBold Demo
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- Spezia Extra Condensed TEST FONT Black
- Test National 2 Cmp Black
- Test National 2 Cmp Blk It
- Test National 2 Cmp Blk It
- Test National 2 Cp Black
- Valibuk
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.