KrudaNarrowBold
Similar fonts
- 8805961bd6587795 - subset of Vita Cond Std Bld Ita
- Agenda One Extra Condensed Black Italic
- Agenda One Extra Condensed Extra Bold Italic
- Bebas Neue Pro Expanded ExtraBold
- Belle Sans Ultra Cond XBd
- CervoNeue-BoldNeueItalic
- Chromatic Trial Compact Bold Italic
- Corbert ExtraBold Compact Italic
- Core Sans D 77 Cn Black W01 It
- CoreSansD77CnBlack-Italic
- CS Medora Italic
- EurekaSansPro-CondBold
- F37 Stout Black Condensed
- Fb MatadorEn Bold
- GCKlavikaCondFein-Medium
- Gimbal Grotesque Compressed Bold
- GT Flexa Cm Bd It
- GT Flexa Compressed Bold
- Henkel GT Flexa Cm Bl It
- Klavika Condensed Medium
- Magola-Italic
- Praktika Bold Condensed
- Praktika Rounded Bold Cnd Ita
- Prelude Compressed Pro Bold
- Rules Trial Condensed ExtraBold
- Separat Bold
- Steclo-BlackItalic
- SVN-Bebas Neue Pro Exp ExtBd
- Tablet Gothic Condensed Bold Oblique
- TTSupermolotCondensed-Bold
- URW DIN Arabic SemiCond Bold
- VVDS Fifties Cond Med Italic
- VVDS Fifties Condensed SemiBold 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.