NaN SuperX Sans Text Regular
Similar fonts
- BB Torsos Pro Semi Medium
- Best Choice Bold
- Best Choice Bold Italic
- Bogboo-ExtraexpandedItalic
- CF ModGrotesk Test Bd Ex Exp Obl
- Ciron Text Unlicensed Trial Version Bold Italic
- Crystal Trial Expanded Medium
- Dita Wd Medium
- FoundersGroteskMono-MediumTest
- FSP DEMO - 1906 Frnch Nws Cps BoldItalic
- Google Sans Flex Rounded 72pt ExtraExpanded Bold
- GraphikWide-Medium
- Grey Sans Semi Bold
- Karlsbader Grotesk 700
- KommonGroteskExt-SemiBoldIt
- Modernhead Serife
- Molde SemiExpanded-Medium Italic
- MorenoRust-MediumItalic
- NaN Holo TRIAL Medium
- NaN Metrify Panafrican C TRIAL Medium
- Neptun UnlicensedTrial-SudExtraWideSemiBold
- NewsSansExtended SemiBold Italic
- QuebecSerial-XBold
- RG Ciron Text Unlicensed Trial Version Bold Italic
- Rules Trial Expanded Bold Italic
- Ruston Basic Regular Expanded
- Scrapstroke-ExpandedBold
- Shantell Sans Normal Medium
- ShToday_Medium-Normal
- Sprint Sans Ofc Med Regular
- TT Autonomous Medium Italic
- VLAlexonBold-Roman
- Zalando Sans SemiExpanded Medium 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.