FSP DEMO - DBx Cndnsd Hrln Italic
- NameFSP DEMO - DBx Cndnsd Hrln Italic
- Family
FONTSPRINGDEMO
- Style
DeBoxCondensedHairlineItalic
- Added
27 Apr 2026
Similar fonts
- Aeonik Condensed Pro TRIAL Air Italic
- Aeonik Condensed Pro VF Air Cn
- Aeonik Condensed TRIAL Air Italic
- Arlette THA Hl
- Attractive HairLineItalic
- AttractiveSemiCond HairLineItalic
- BebasNeuePro-ExpandedThinItalic
- BundaySlab-HairUp
- Cacao Fat Outline PDF
- Drive Mono Hairline Italic
- Drive Prop Hairline Italic
- Esenka-BlackOutline
- Eurocat Base Regular
- FFMetaPro-HairItalic
- FS Untitled Thin 100
- FSP DEMO - Squad Thin Italic
- Glober Thin Italic
- GraphikCompactTrial-ThinItalic
- Harrison Serif Pro Hair
- IdealistaThin
- KlavikaDisplay-Th
- KlavikaDisplay-Thin
- KulturistaThin
- MetaOT-Hair
- MrEavesXLModNarOT-Thin
- Panton Narrow Thin Italic
- Panton-Trial Thin
- SeccaPro-Hairline15Italic
- Sofia Sans Semi Cond HairLineItalic
- Squad-Trial Thin Italic
- TFForever-Thin
- UnitedSerif-Thin
- UnitedSerifReg-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.