FSP DEMO - Pl Cndnsd xtrbld tlc Regular
- NameFSP DEMO - Pl Cndnsd xtrbld tlc Regular
- Family
FONTSPRINGDEMO
- Style
PaloCondensedExtraboldItalicRegular
- Added
03 Mar 2026
Similar fonts
- ABC Gravity Cyrillic Ex Cond Unlicensed Trial Extra Condensed Italic
- ABC Oracle Greek Triple Unlicensed Trial Ultra Italic
- Aktiv Grotesk Cd Deva Black Italic
- Asap SemiCondensed ExtraBold Italic
- Bearklaw Black Italic
- Costco Sans Condensed App Bold
- Costco Sans Condensed Large Bold
- Exposure Italic Trial -100
- Freitag Display Trial L Italic
- FSP DEMO - Pl Cndnsd xtrbld tlc Regular
- LFT Etica Condensed ExtraBold
- MGT American Copper Block Heavy Italic
- Motion-Italic
- Muddled-CondensedBold
- National 2 Cond Bk Italic
- National Champion Cut
- National Champion Cut Bold
- National Champion In Bold
- National2Narrow-ExtraboldItalicTest
- Nitti Grotesk Cond Blk TEST Italic
- Novel Display Black It
- Novel Display Cnd Black It
- Owners Narrow Black Italic
- Pathway Extreme 28pt Condensed ExtraBold
- Phill SemiCondensed Bold Backslanted
- Prenton RP Cond Bold
- Protest Strike Regular
- RJ Afilador Torn Bold
- SancoaleSlSf-ConBla
- Sarre Testversion Black
- Sarre Testversion Black Italic
- Test National 2 Cond Bk It
- Vinila Condensed ExtraBold 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.