Fit Instances wdth181
Similar fonts
- Fit Devanagari Variable Wide Wide
- Fit Instances wdth168
- Fit Instances wdth169
- Fit Instances wdth170
- Fit Instances wdth171
- Fit Instances wdth172
- Fit Instances wdth173
- Fit Instances wdth174
- Fit Instances wdth175
- Fit Instances wdth176
- Fit Instances wdth177
- Fit Instances wdth178
- Fit Instances wdth179
- Fit Instances wdth180
- Fit Instances wdth181
- Fit Instances wdth182
- Fit Instances wdth183
- Fit Instances wdth184
- Fit Instances wdth185
- Fit Instances wdth186
- Fit Instances wdth187
- Fit Instances wdth188
- Fit Instances wdth189
- Fit Instances wdth190
- Fit Instances wdth191
- Fit Instances wdth192
- Fit Instances wdth193
- Fit Instances wdth194
- Fit Wide
- Fit Wide Regular Testing
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.