EncorpadaClassicCondensed-Bold
Similar fonts
- Austin-BoldItalic
- AustinCyr-BoldItalic
- Cardinal Photo Bold Italic
- Classike TRIAL Bd
- F37 Caslon Hairline Trial ExtraBold Condensed Italic
- F37 Caslon Trial ExtraBold Condensed Italic
- FH Total Fine Test Bold Italic
- Fiontina
- Grifito Test L Bold
- Gronau Inline
- Gronau Trial Inline
- Kafheri DEMO VERSION
- Kage
- LustSlim
- MenoBanner Black Italic
- Notted
- Numskill FB Bold
- Playfair 144pt SemiCondensed ExtraBold
- PP Right Sans Dark
- SaolDisplay-BoldItalic
- Spezia Serif Condensed A Trial Bold Italic
- Spezia Serif Narrow A TEST FONT Bold
- Spezia Serif Narrow A TEST FONT Bold Italic
- Spezia Serif Narrow A Trial Bold Italic
- Spezia Serif Narrow Bold A
- Spezia Serif Narrow Bold A
- Spezia Serif Narrow Trial Bold Italic A
- SpeziaSerif-CondensedBoldItalicA
- SpeziaSerif-NarrowBoldItalicA
- Test Epicene Display Black Italic
- VelinoCondensedDisplay-Black
- Wildstone Regular
- ZT Neue Ralewe Black
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.