Fit Instances wdth285
Similar fonts
- Fit Instances wdth272
- Fit Instances wdth273
- Fit Instances wdth274
- Fit Instances wdth275
- Fit Instances wdth276
- Fit Instances wdth277
- Fit Instances wdth278
- Fit Instances wdth279
- Fit Instances wdth280
- Fit Instances wdth281
- Fit Instances wdth282
- Fit Instances wdth283
- Fit Instances wdth284
- Fit Instances wdth285
- Fit Instances wdth286
- Fit Instances wdth287
- Fit Instances wdth288
- Fit Instances wdth289
- Fit Instances wdth290
- Fit Instances wdth291
- Fit Instances wdth292
- Fit Instances wdth293
- Fit Instances wdth294
- Fit Instances wdth295
- Fit Instances wdth296
- Fit Instances wdth297
- Fit Instances wdth298
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.