FSP DEMO - rdn Cmprssd Smbld Regular
- NameFSP DEMO - rdn Cmprssd Smbld Regular
- Family
FONTSPRINGDEMO
- Style
OrdinaCompressedSemiboldRegular
- Added
03 Mar 2026
Similar fonts
- Addison West Flat
- adventpro-Bd3
- AspiraXXXNar-Bold
- Astoria Sans Medium Condensed
- Befold-Regular
- Booster Inktrap Narrow Semibold
- Bradia-Bold
- Clarke Black Italic
- Daily Special Banner White
- Doumbar Medium
- Figure Test Condensed Demi
- FOTMangia-CondensedRegular
- Fredoka Condensed Medium
- FSP DEMO - Dexa Pro Cn SmBd Regular
- FwTRIAL Neue DIN SemiCond SemiBold
- GIZGravurPro-CondBold
- Google Sans Flex 36pt UltraCondensed SemiBold
- Google Sans Flex Rounded 36pt UltraCondensed Medium
- Inconsolata Condensed Black
- Kunst-96Medium
- Moorlie
- Muzarela-BoldItalic
- Neue DIN SemiCond Bold
- Neue DIN SemiCond SemiBold
- neue Unikat Round Trial Bold Right
- neue Unikat Trial Bold Left
- Orev Edge Bold
- Pantograph Condensed SemiBold
- PP Fuji Light
- Super Sans Condensed SemiBold
- SusurrusBB-Bold
- UDShinGoCOsizPr6-Hea
- UDShinGoCOsizPr6N-Hea
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.