VTC Spike Trial Black
Similar fonts
- AltemusWebIcons-Regular
- Dropout-Regular
- EtcherSkesch Inverse
- Fit Instances wdth299
- Fit Instances wdth300
- Fit Instances wdth301
- Fit Instances wdth302
- Fit Instances wdth303
- Fit Instances wdth304
- Fit Instances wdth305
- Fit Instances wdth307
- Fit Instances wdth308
- Fit Instances wdth309
- Fit Instances wdth310
- Fit Instances wdth311
- Fit Instances wdth312
- Fit Instances wdth313
- Fit Instances wdth314
- Fit Instances wdth315
- Fit Instances wdth316
- Fit Instances wdth317
- Fit Instances wdth318
- Fit Instances wdth319
- TelemarkLabel-Light
- VTC Spike Trial 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.