Truculenta SemiCondensed ExtraLight
- NameTruculenta SemiCondensed ExtraLight
- Family
TruculentaSemiCondensed
- Style
ExtraLight
- Added
03 Mar 2026
Similar fonts
- Angela Extra Bold Rotaitalic
- Angela Semi Bold Italic
- Angela Trial Bold Italic
- Angela Trial Extra Bold Italic
- Angela Trial SemBd Rotaitalic
- Angela Trial Semi Bold Italic
- Baby Baby Color Pink Slanted
- BB Torsos Pro Thin
- Big Shoulders Inline Display Medium
- Costco Sans XCondensed TT Light
- ETC Trispace Thin Condensed
- FSP DEMO - Hrkd tlc Lght Cndnsd Regular
- FSP DEMO - Seriguela It Regular
- FSP DEMO - Seriguela Rev It Regular
- Georama Condensed Light Italic
- GoodHeadlineWeb W03 XCondLight
- Goodland Compressed ExtraLight Italic
- Goodland Variable Compressed ExtraLight Italic
- Herokid Italic Extra Light Condensed
- Herokid Italic Light Condensed
- Modica Pro Compressed Light Italic
- NewsSansComp ExtraLight Italic
- PP Right Grotesk Tall Light Italic
- RB Rational Neue Condensed Test ExtraLight
- Routine Variable Thin Condensed
- Saira UltraCondensed Thin
- Shepherd-ExtracondensedRegular
- Slussen Variable Compressed Thin
- TecnicaSlabRegular
- TecnicaSlabRegularAlternate
- TheodorTest v03 Slanted B
- Thicker Compressed Trial Extralight
- Workhorse Gothic 1 Test Condensed Book Oblique
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.