Sabu Black
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- AnabeleRegular
- ArchivaDropline
- BRONGGEDUNY-Regular
- Fishmonger TRIAL Extended Bold Italic
- Fishmonger TRIAL Extra Extended Bold Italic
- Fishmonger TRIAL Extra Extended Semibold
- FOTTedioBold
- Futura Cyrillic Extra Bold
- Futura PT Extra Bold
- FuturaTS-HeavyItalic
- Grota Sans Alt Rd Black
- Gusto Bold Italic
- JazzyB-Thin
- MachOT-Black
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- ManualRound-BlackTf
- Metaballs Trial Unlicensed Bold
- Muller Next Trial Heavy
- Muller Next UltraWide Heavy Italic
- Muller Next Wide Trial Heavy Italic
- MullerNext Nr Fat
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- PlincTuggle
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- Quasix
- SavignyBlackCond
- Seat Bcn - Web Black Condensed Italic
- Staff Condensed Black
- TedioBold
- TTMastersCondensed-Black
- TTMastersCondensed-Black
- TubbyOpti-Bold
- VVDS_Bimbo Sans Main
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.