MasseyCondensedNormal
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- CoreMellowCompressed-Bold
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- FSP DEMO - Bnksn Blck xpndd Regular
- FSP DEMO - Procerus Medium Italic
- FSP DEMO - Procerus Semi Bold Italic
- FSP DEMO - Vngrd CF Dm Bld Regular
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- Graphik XXCond Semibold
- Graphik XXCond Web Semibold Regular
- Graphik XXXCond Black Italic
- Graphik XXXCond Super Italic
- Graphik XXXCond Web Black Italic
- Graphik XXXCond Web Super Italic
- GraphikXXCondensed-Semibold
- GraphikXXCondensed-SemiBold
- GraphikXXCondensedTrial-Semibold
- GraphikXXCondTrial-Semibold
- GraphikXXXCondensed-BlackIt
- GraphikXXXCondensed-BlackIta
- GraphikXXXCondensed-SuperIta
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- GraphikXXXCondTrial-BlackItalic
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- Gulams Condensed Light
- Karolla Regular
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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.