Inconsolata SemiCondensed ExtraBold
- NameInconsolata SemiCondensed ExtraBold
- Family
Inconsolata
- Style
SemiCondensedExtraBold
- Added
03 Mar 2026
Similar fonts
- Actium-SemiBoldItalic
- Anteb-MediumItalic
- Belfort-Demi
- Boodle Bold
- Branding SF Narrow SemiBold It
- Bw Modelica DEMO Bold Ultra Condensed Italic
- Bw Modelica SS02 DEMO Bold Ultra Condensed
- Cairo Bold Italic
- Ciutadella TRIAL SmBd Italic
- DeconStruct-Bold
- DicSans Medium
- Fact Narrow Web Medium
- FSP DEMO - rtgr Sns Cn lt SmBld Italic
- Inconsolata SemiCondensed ExtraBold
- Info Corr Offc Bold
- InfoCorrOT-Bold
- InfoTextOT-Semibold
- Interpol Sans Bold
- Italian Plate No1 Bold Italic
- JetBrainsMonoNL NFM Bold
- Moderat Trial Condensed Black
- OmnesCyrillic Cond SemiBold
- PlanGrotesqueCond-Medium
- Pluto-MediumCondensedItalic
- PlutoCondMedium-Italic
- SamsungOneThai-700
- SaturaTextPro-BoldItalic
- SFCamera Semibold
- Stardust Trial Condensed Medium
- Tide Sans Cond 500 Dudette
- TT Prosto Sans Trl Cnd Bold
- We Benang Sans Medium
- Yangko Rounded Regular
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.