Truculenta 48pt Expanded Regular
Similar fonts
- ABC Gravity Compressed Trial Regular Italic
- Archivo Condensed Light Italic
- Arias-CondensedRegular
- Artex SemiCondensed Light It
- Artico Condensed Light
- Ascender Sans Narrow
- Bricolage Grotesque 72pt SemiCondensed Light
- CC The Story So Far Outline
- CoreSlabMCn-37Light
- Cutmark Narrow Nr Light Italic
- Datatype Condensed Thin
- Datatype Expanded ExtraBold
- Datatype ExtraCondensed SemiBold
- Datatype ExtraExpanded Black
- Datatype SemiCondensed Black
- Datatype SemiCondensed ExtraBold
- Datatype SemiExpanded ExtraLight
- Datatype SemiExpanded Light
- Datatype UltraCondensed Bold
- Forager Light
- FSP DEMO - Light UltCond SeObli Italic
- Gineso Cond Regular Italic
- Gregory Grotesk Condensed DEMO Light
- InputMonoCondensed ExLightIta Edu
- InputSansCondensed ExLightIta Testing
- InputSerifCondensed ExLightIta
- Phill Soft Normal Light
- PilatNarrow-Regular
- Steamwreck Italic
- Tourney Condensed
- VC Nudge Trial Regular Very Italic
- Yoshida Sans Light Condensed
- Yoshida Soft Light Condensed
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.