StaffXXCondensed-Medium
Similar fonts
- BlockGothicRR-DemiExtraCond
- Brownland Regular
- Champion-HTF-Featherweight
- ChampionGothic-Featherweight
- CoolveticaCompressedRg-Bold
- EFCO Colburn Compressed Bold
- EFCO Colburn Compressed Bold
- F37 Stout Bold Compressed
- Fixture Condensed Medium
- FSP DEMO - Bchwd XTll SmBld Regular
- FSP DEMO - Mld Cmprssd-Blck Regular
- FSP DEMO - Mld Cmprssd-Hvy Regular
- FSP DEMO - Spaceland Eight Regular
- GT Flexa X Cm Md
- Hype 0800 Bold
- Kapra-CondensedRegular
- Molde Compressed-Black
- Mouzambik Demo Regular
- Mouzambik Inktrap Regular
- Mouzambik Regular
- Mouzambik Smooth Regular
- MTC Kravelin Regular
- NaN Holo Compressed Bold
- NaN Holo Compressed TRIAL Extra Bold
- NaN Metrify A TRIAL Compressed Bold
- NaN Metrify B Compressed Bold
- NaN Metrify B TRIAL Compressed Bold
- NaN Metrify B TRIAL Compressed ExtraBold
- NaN Metrify C Compressed Bold
- Staff XX Condensed Test Medium
- Torpedo Bold
- YFF Zusker PERSONAL USE UCn Fat
- Zawya Pro Condensed Medium
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.