ConfigCondensed-BoldCondensed
Similar fonts
- BlockPro-ExtraCnIt
- Boulder-Cd-Regular
- Brans W05 Black Italic
- Cera Condensed DEMO Black
- CervoNeue-Bold
- CitadinaBlack
- Core Sans D 67 Cn Heavy W01 Rg
- Din Text Pro PF Bold Italic Comp
- F37 Judge Arabic Trial Bold Condensed Italic
- F37 Judge Greek Trial Bold
- F37 Judge Thai Trial Bold
- Ford Antenna ExtraCond Bold
- FSP DEMO - Nmn Blck Cndnsd Regular
- FSP DEMO - rtc xtrCnd Bld Regular
- Geon Condensed Black
- Georama ExtraCondensed Black Italic
- Gineso Cond Bold
- GothamCondensed-XBlack
- GoudarHL-BlackItalic
- GovanOT-Condensed
- Grindleaf
- Gubia-Black
- Modica Pro Compressed Ultra Italic
- PP Pangram Sans Slim Extrabold
- RopaSoftSCPTT-ExtraBold
- Scater-Italic
- Se Macro Condensed TRIAL ExtraBold
- The October Two
- Tourney Condensed ExtraBold
- TT Rounds Neue Compressed Bold
- TT Rounds Neue Trl Cmd Bd
- Uniform Pro Extra Condensed Black Italic
- Yekan Bakh Black ExtraCondensed
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.