Akhand Gujarati Extrabold
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- Akhand Arabic ExtraBold
- Akhand Bengali Extrabold
- Akhand ExtraBold
- Akhand Malayalam Extrabold
- AkhandSoft-Extrabold
- Aviator Sans
- Cocogoose Compressed Semilight
- Cocogoose Compressed Trial Semilight
- CocogooseCompressedSemiLight
- COlive Bold
- FSP DEMO - Kelpt Sans B1 Bold Regular
- FSP DEMO - Kelpt Sans B1 Medium Regular
- FSP DEMO - Kelpt Sans B2 Black Italic
- FSP DEMO - Klpt Sns B2 xtrBld Italic
- GT Standard L Condensed Black Oblique
- GT Standard L Condensed Heavy Oblique
- GT Standard Trial Cn Bl L Obl
- GT Standard Trial L Cn Bl Obl
- GT Standard Trial L Cn Hv Obl
- HyperspaceRaceCondensed-Bold
- Kelpt Sans B1 Medium
- KelptA2-Bold
- KelptA3-BlackItalic
- Media Sans SemiCondensed Bold
- Monopol TRIAL Black Italic
- Monopol TRIAL Bold Italic
- MonopolMedium-BoldItalic
- Obviously Cond Supr Italic
- ObviouslyCond-SuperItalic
- Sharp Grotesk Bold Italic 12
- SharpGrotesk-BoldItalic12
- TesseractSans SemCn St Bold
- Vanguard Bold 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.