F37 Stout Black Compressed
Similar fonts
- Arto Condensed Regular Rounded
- Bchwd XTll xtrBld Regular
- Beachwood XTall ExtraBold
- BlockGothicRR-ExtraBoldExtCond
- BORDUNE MFR Black
- F37 Stout Test Black Compressed
- F37 Stout Trial Black Compressed
- F37Stout-BlackCompressed
- FF Good Pro Comp Ultra
- Good Offc Comp Ultra
- GoodPro-CompUltra
- Grotzec Poster Trial XX Condensed Bold
- Grotzec Poster XX Condensed Bold
- GT Flexa X Cm Bd
- Henkel GT Flexa X Cm Bd
- HeroicCondensed-Black
- HeroicCondensed-Heavy
- Kapra-CondensedRegular
- Lateral Trial Ultra Compressed Heavy
- Lateral Ultra Compressed Heavy
- Mogars Regular
- NaN Holo Compressed TRIAL Black
- NaN Holo Compressed TRIAL Extra Bold
- NaN Metrify A TRIAL Compressed Black
- NaN Metrify B TRIAL Compressed Black
- NaN Metrify B TRIAL Compressed ExtraBold
- NaN Metrify C TRIAL Compressed Black
- RabbitOnTheMoon-Bold
- Shample02
- Staff XX Condensed Test SemiBold
- StaffXXCondensed-SemiBold
- Tandelle Bold
- TandelleRg-Bold
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.