TesseractSans Bk Bold
Similar fonts
- ABC Ginto Nord Condensed Black Unlicensed Trial Black
- ABC Ginto Nord Condensed Black Unlicensed Trial Black Italic
- ABC Ginto Nord Condensed Greek Trial Black Italic
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- ABC Ginto Nord Condensed Greek Unlicensed Trial Ultra
- ABC Ginto Nord Condensed Greek Unlicensed Trial Ultra Italic
- ABC Ginto Nord Condensed Trial Black Italic
- ABC Ginto Nord Condensed Trial Ultra
- ABC Ginto Nord Condensed Ultra
- ABC Ginto Nord Condensed Ultra Italic
- ABC Ginto Nord Condensed Ultra Unlicensed Trial Ultra
- ABC Ginto Nord Condensed Ultra Unlicensed Trial Ultra Italic
- ABC Ginto Nord Condensed Unlicensed Trial Black
- ABC Ginto Nord Condensed Unlicensed Trial Black Italic
- ABC Ginto Nord Condensed Unlicensed Trial Ultra
- ABC Ginto Nord Condensed Unlicensed Trial Ultra Italic
- ABC Ginto Rounded Nord Condensed Trial Black
- ABC Ginto Rounded Nord Condensed Trial Ultra
- ABC Ginto Rounded Nord Condensed Trial Ultra Italic
- ABC Ginto Rounded Nord Condensed Unlicensed Trial Black
- ABC Ginto Rounded Nord Condensed Unlicensed Trial Black Italic
- ABC Ginto Rounded Nord Condensed Unlicensed Trial Ultra
- ABC Ginto Rounded Nord Condensed Unlicensed Trial Ultra Italic
- Design System B W01 900R
- DesignSystemB-900R
- LHF American Sans Poster
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- Media Sans Ultra
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- TesseractSans Bk 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.