SP_Multi Wbi
Similar fonts
- ABC Estragon Unlicensed Trial Heavy
- ABC Publisher Rounded Mix Condensed Unlicensed Trial Black Italic
- ABC Publisher Rounded Sans Condensed Unlicensed Trial Black Italic
- ApparatSemiCond Black
- AspiraNar-HeavyIt
- AvertaCY-ExtraboldItalic
- BMW Type Next TT Bold
- Celdum-BoldItalic
- DexaProNarrow-BoldItalic
- Dosis Extrabold
- FSP DEMO - SFTSchrftdSnsCmpct Bold
- FSP DEMO - vrt Std CY xtrbld Italic
- FwTRIAL Neue DIN XBold
- Gerbera Black Italic
- Ginka Bold
- GT Walsheim Pro Condensed Bold Oblique
- GT Walsheim Pro Trial Condensed Bold
- GT Walsheim Pro Trial Condensed Bold Oblique
- GT Walsheim Trial Con Bold Regular
- Helia-Bold
- HvDTrial Mikado Bold Italic
- Latinka-Black
- Lidl Font Bold
- LLModerne-Black
- Martian B SemiBold
- Neues Grotesque Black
- Neusa Neu_Demo Black Italic
- NN Alena TRIAL Black
- Quantificat ExtraBold Italic
- Rasane-ExtraBoldItalic
- Signal Mono Bold
- Signs VFI Regular Trial Unlicensed
- Supreme Extrabold Italic
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.