Meem Black
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- ABC Schengen B Greek Unlicensed Trial Ultra
- ABC Schengen C Mono Trial Ultra
- ABC Schengen C Mono Trial Ultra Italic
- Absolut Reduced Fat
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- CCElephantmen Greatest Heavy
- Drat Test Black
- EK Modena Test Ultra Expanded
- Fakir Pro Black
- Fakir-Black
- FSP DEMO - Bchwd Wd ltrBld Regular
- KoratakiEb-Regular
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- Lugue
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- NewGroteskSquare-SEVEN
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- Phill Expanded Black Slanted
- Phill Soft Expanded Black Backslanted
- Phill Soft Expanded Black Slanted
- Phill Soft Wide Black
- Phill Wide Black
- Phill Wide Black Backslanted
- Phill Wide Black Backslanted
- Ramsey W05 Bold Extended
- SF TransRobotics Extended Oblique
- SG Bumchil Regular
- TacticSansExtExd-Ult
- TrasandinaUltra
- TT Lakes Neue Trl Ext Blc
- TTMussels-Black
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- VipnagorgiallaRg-Bold
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.