FOTSpringdale-CondensedRegular
- NameFOTSpringdale-CondensedRegular
- Family
FOTSpringdale
- Style
CondensedRegular
- Added
03 Mar 2026
Similar fonts
- Akir-CondensedRegular
- Fickle-CondensedRegular
- FOTAkir-CondensedRegular
- FOTFickle-CondensedRegular
- FOTSpringdale-CondensedItalic
- FOTSpringdale-CondensedRegular
- FSP DEMO - Grllr Cmprssd Thn Italic
- FSP DEMO - Stinger Slim Thin Italic
- FSP DEMO - Stinger Slim Thin Regular
- Grollera Compressed Thin Oblique
- Kanayan Regular
- Meichic Duo Narrow Oblique
- Moniqa ExtLt Ita Paragraph
- Noxa Inline
- Noxa Inline Inline
- Roboto Serif 96pt UltraCondensed Thin
- Serrif Compressed-TRIAL Thin
- Serrif VF-TRIAL
- Short Films XLight
- Short Films XLight It
- Signora Sans Thin Condensed
- Signora Thin Condensed
- Springdale-CondensedItalic
- Springdale-CondensedRegular
- Stinger Slim Thin
- Stinger Slim Thin Italic
- Stinger Slim Trial Thin
- Stinger Slim Trial Thin Italic
- Stinger Variable
- Stinger Variable Italic
- Stinger Variable Italic Trial
- Stinger Variable Trial
- Velino Ultra Compressed Thin
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.