Hypebeast Regular
Similar fonts
- Albireo Semi Cond Regular
- AmericaneCondensed-Regular
- Antarctican Headline Medium
- AntennaSerifExtraCond-Regular
- AvoryILatn-Rg
- Chromatic Trial Compressed Medium Italic
- Corbert DemiBold Compact
- East-MediumOblique
- Fixture Italic Condensed Medium
- FordAntenna-RegularXCnd
- Fort XCond Medium
- FSP DEMO - Mld Cndnsd-Mdm Regular
- FSP DEMO - nnr Cnd Mdm tlc Regular
- GD Grio Trial Extra Narrow Medium
- Geometric706BdCnEU Normal
- Goodland Variable Compressed SemiBold Italic
- GT America LG Compressed Regular
- GT America Trial Compressed Regular Regular
- Haptic Pro Compressed Regular
- Hypebeast Regular
- Knockout-HTF29-JuniorLitewe
- KnockoutON 29 Junior Liteweight
- LeBlanc Medium Italic
- Megi Sans Narrow
- Molde Condensed Medium
- NaN Metrify B TRIAL Compressed Medium Italic
- NaN Metrify C TRIAL Compressed Bold Italic
- NuberNext Bold Compressed
- Performa Condensed
- SolanoGothicMVB-Md
- Superscience-MedExtraCondIta
- Truculenta SemiCondensed Medium
- VinciSansCondensed-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.