ApexSans-ExtraBold
Similar fonts
- ALS Dereza Bold
- ApexSerif-ExtraBold
- ApexSerif-ExtraBoldItalic
- Baton-Black
- Baton-BlackItalic
- BrotherXS-Heavy
- Bumble Sans ExtBd Cond Ita
- Directors Gothic 220 Ultra Oblique
- DirectorsGothic220-UltraObl
- DirectorsGothic220-UltraObliq
- Fishmonger TRIAL Extra Condensed Bold Italic
- Flink Neue Bauhaus Cmp Test XBold
- Flink Neue Cmp Test XBold
- Flink Neue Cmp Test XBold It
- FSP DEMO - MacaroniSans-Heavy Regular
- Gabriel Sans Cond-Trial Black Italic
- Gabriel-Sans-Cond-Black
- Gabriel-Sans-Cond-Black-Italic
- Galatea Bold Narrow
- IntroCond-BlackAlt
- IntroCond-BlackItalic
- IntroCondensed-BlackAlt
- IntroCondensed-BlackItalic
- Kewi-HeavyItalic
- Macaroni Sans W01 Heavy
- NoyhSlimBlack
- PeachyKeenJF
- Snapshot Bold
- TarzanaNarOT-Bold
- Telepath Loaded
- Terminal Dosis ExtraBold
- TT Norms Pro Condensed Black Italic
- TT Norms Std Condensed Black Italic
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.