Sverre-Normal
Similar fonts
- 1FTV Gasket-Regular
- Alasar-Bold
- AptlyMedium
- Balgin Black Condensed Italic
- CoconOT-Excon
- Eastman Compressed Alt DemiBold
- Franie Test ExtraCondensed SemiBold
- FSP DEMO - lltrp Cmprssd Mdm Italic
- FSP DEMO - NvcntsnscndnsdLght Bold
- Gasket-Regular
- Georama ExtraCondensed SemiBold Italic
- GT Standard Mono Condensed Bold
- GT Standard Mono Trial Cn Bd
- Heading Pro Trial Regular
- Heading Pro Ultracompressed ExtraBold Italic
- Heading Pro Ultracompressed Tra ExtraLight Italic
- Heading Pro Ultracompressed Trial Heavy Italic
- HeadingNow 37 Comp XBold Ita
- HeadingNow Trial 37 Comp XBold Ita
- HeadingPro-Regular
- HeadingProUltracomp ExtBd Ita
- KelptA2-Medium
- MasifaExtraCn-Medium
- Midnight Sans ST Trial 12 Regular
- MTM Atocha 62 Test Chupada Ligera
- Novecento sans condensed DemiBold
- Novecento slab condensed DemiBold
- OksanaSansCompressed-Bold
- RainforestInline-Regular
- Ronald
- Upton Extrabold Italic
- VarvaraStar-Medium
- Wearetrippin Display
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.