ApexSans-Extralight
Similar fonts
- AauxNext-HairlineItalic
- ApexSans-Extralight
- ApexSans-ExtralightItalic
- Asgard Trial Thin Backslant
- BBYApex-Thin
- BigCity Grotesque Pro Hairline
- Bunday Clean Hair Italic
- Bunday Clean Hair Up Italic
- Cacao Fat Outline PDF
- Camila-ThinIt
- ED Begonia Outline Regular
- Eurocat Sans Regular
- Fann Grotesque Pro Thin Italic
- Fann Grotesque Thin Italic
- Gabriel-Sans-Cond-Thin
- HeliaCore-HairlineItalic
- MezaliaSans-Thin
- Muller Narrow-Trial Hairline Italic
- NN Swinton TRIAL Extra Thin
- Perkin Outline
- SeccaPro-Hairline15
- Termoli Light Italic
- Termoli TEST FONT Light
- Termoli TEST FONT Light Italic
- Termoli VF TEST FONT Light Italic
- Theinhardt SmCond Trial Hair Ita
- Theinhardt-HairlineItalic
- TheinhardtPan-HairlineItalic
- TheinhardtPanHairline-Italic
- UnitedItalic-Thin
- UnitedItalicReg-Thin
- VerizonApex-Extralight
- ZnikomitSC
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.