Axava Rough
Similar fonts
- BrandbeExtraBold
- ckTrial Winner Sans UltraComp Extra Bold
- ckTrial Winner UltraComp Black
- ckTrial Winner UltraComp Extra Bold
- Fit Devanagari Regular
- Fit Devanagari Variable Normal
- Fit Devanagari Variable Regular
- Fit Instances wdth106
- Fit Instances wdth108
- Fit Instances wdth110
- Fit Instances wdth111
- Fit Instances wdth112
- Fit Instances wdth113
- Fit Instances wdth115
- Fit Instances wdth116
- Fit Instances wdth117
- Fit Instances wdth118
- Fit Regular
- Fit Regular Regular Testing
- Fit Variable Normal
- Fit Variable Regular
- FitMAX Normal
- Flatbush Bold
- GC Magnu Bold
- GustanSignaSolidaLight-Regular
- Jetlab Squeeze Heavy
- Jetlab Squeeze Heavy Low
- Jetlab Variable Squeeze Heavy High Squeeze Heavy High
- Jetlab Variable Squeeze Heavy Low Squeeze Heavy Low
- Santino Regular
- Winner Sans UltraComp Black
- Winner Sans UltraComp Extra Bold
- Winner UltraComp Black
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.