Fit Instances wdth207
Similar fonts
- Fit Instances wdth194
- Fit Instances wdth195
- Fit Instances wdth196
- Fit Instances wdth197
- Fit Instances wdth198
- Fit Instances wdth199
- Fit Instances wdth200
- Fit Instances wdth201
- Fit Instances wdth202
- Fit Instances wdth203
- Fit Instances wdth206
- Fit Instances wdth207
- Fit Instances wdth208
- Fit Instances wdth209
- Fit Instances wdth210
- Fit Instances wdth211
- Fit Instances wdth212
- Fit Instances wdth213
- Fit Instances wdth214
- Fit Instances wdth215
- Fit Instances wdth216
- Fit Instances wdth217
- Fit Instances wdth218
- Fit Instances wdth219
- Fit Instances wdth220
- Miniblock-Regular
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.