IrmaTextNarrow-BlackItalic
Similar fonts
- ABC Favorit Condensed Unlicensed Trial Black Italic
- AlasTrial-ExtraCondensedBold
- Almost Gothic Heavy Italic
- Artegra Sans Cn Bold It
- Artegra Sans Condensed ExtraBold
- ArtegraSoftCn-BoldItalic
- Benton Sans Condensed Black
- CBFutura Bold Italic
- DynaGrotesk33-BoldItalic
- EtelkaTextPro-Bold
- FoundersGroteskCondensed-Bold
- FSP DEMO - Artegra Sans Cn Bold
- Futura ND for Nike 365 Cn XBd
- Futura PT Condensed Black Italic
- Gampange Extra Bold Italic
- Graphik Compact Web Black Regular
- GrotaSansAltRounded-ExtraBoldIt
- GrotaSansRd-BoldIt
- GrotaSansRounded-Regular10
- Helison Italic
- IntervalSansProCond-BlackItalic
- JohnSansCond Black CE Italic
- KommonGroteskCon-UltraBold
- Lassiter Bold Italic
- Lonkie-Bold Italic
- NewsSerifText Black Italic
- Nunito Sans 10pt Condensed Black Italic
- PorscheNext-BoldItalic
- Rival Sans Narrow Black italic
- Ruston Basic Bold SemiCondensed
- Stapel Narrow Bold Italic
- SupriaSans-CondHeavyOblique
- Test Founders Grotesk Cnd Bd
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.