Horizontal Variable BETA Bold
Similar fonts
- 946Latin-Regular5R
- Artex Compressed Black
- Aspire Narrow SC Black
- Base Neue Trial Super Cn SmBd
- BilokosProExtraBold
- Brother Bold
- Caslon Rounded Regular
- Champion-HTF-Welterweight
- Ciutadella Display TRIAL UltBlk
- Correct Trial XXXX Condensed Black
- DigitalSansNowML-BlackCondIta
- FSP DEMO - Rc Grtsk Cndnsd Hvy Regular
- Graphik XXCond Web Black Regular
- GraphikXXXCondensed-Bold
- GraphikXXXCondensedTrial-Super
- Headline37
- Kicker Trial Black
- KlavikaDisplay-BlackCondensed
- KlavikaDisplay-BlCond
- Korataki-ExtraBold
- Mako-ExtraBold
- Malte-ExtraBold
- Mechanismo Regular
- MoviePlaytype
- NATRON-Bold
- PG Gothique Condensed Ultra
- Produkt XXCond Black
- Shapiro Wide Extended 105
- Shapiro-105MaxExtd
- SohoStd-UltraCondensed
- SwisspoTrial SemiCond ExtBd
- Tactic Round Ult
- Tektur SemiCondensed ExtraBold
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.