MullerNextBG Nr Bold It
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- AAA Md
- ABC Publisher Rounded Mix Condensed Unlicensed Trial Bold
- ABC Publisher Rounded Mix Condensed Unlicensed Trial Bold Italic
- Angus Bold Italic
- ApparatCond Extrabold
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- BMWTypeNext Pro Medium
- BrixSansBold-Italic
- Cavalcade Roughen
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- Comic Sans MS Gras
- Fb SpoilerPas Eng Medium
- Geo957Italic
- GT Flexa Cn Md
- GT Flexa Trial Cn Bd It
- HadassaLineProV2 bold
- Intro Cd-Trial Bold
- Mochi SemiBold
- Moderat Trial Condensed Black
- MSK Sans Semibold Cond Italic
- Neue DIN Trial SemiBold
- Neues Haus Black
- Noyh Slim R Bold
- NoyhSlimBold
- OliveaEFN
- RF Barbariska rough 1 Oblique Italic
- RFBarbariska-Regular
- Taffee-MediumItalic
- Tonnelier Semibold
- TT Sprmlt N Trl Cnd Db It
- Unione Black
- Yekan Bakh FaNum SemiBold SemiCondensed
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.