TT Sprmlt N Trl Cmd Th
Similar fonts
- Amsi Pro AKS Condensed W05 Thin
- Amsi Pro Condensed Thin
- Bantat W05 Condensed Thin
- Barlow
- Benzinova Thin ExtraCondensed Regular
- Bilcase-Outline
- Chevy Sans Condensed Thin
- Dinesqo 4F UltraLight
- Dozed Outline
- Framer Sans 100 Italic
- FSP DEMO - strd Grtsk XLt XCn Regular
- Google Sans Flex 120pt UltraCondensed Thin
- Hype 1000 Thin
- Hype 1100 Thin
- Merlod Autre Thin
- Merlod Queue Thin
- MerlodNorme-Thin
- Miso Skinny
- Palo Compressed Thin
- PG Grotesque Narrow Thin
- PP Pangram Sans Compressed Thin
- PP Pangram Sans Rounded Compressed Thin
- PPPangramSansRnd Cm Th
- Ruler Thin
- SilverTwig
- SilverTwigWavy
- Spiritist-Thin
- TT Octas Trial Thin
- TT Sprmlt N Trl Cmd Th
- TTOctas-Thin
- VinciSansCondensed-ExtraLight
- XXII Neue Norm Cnd Thin
- XXII Neue Norm RndCnd Thin
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.