FSP DEMO - ntr Cnd Thn tlc Regular
- NameFSP DEMO - ntr Cnd Thn tlc Regular
- Family
FONTSPRINGDEMO
- Style
IntroCondThinItalicRegular
- Added
03 Mar 2026
Similar fonts
- Andes Rounded UltraLight
- AndesNeue Thin
- Ashemore Ext Thin Italic
- Brando Sans Hairline
- Bugrino Trial Fine
- Corporative Sans Alt Hair Italic
- CorporativeSansRndAlt-HairItalic
- DagnyOT-Thin
- Esquina Rounded Thin Italic
- FL Art Grotesk DEMO Thin Italic
- FSP DEMO - AndesNeue Alt 3 Thin Regular
- Fusion Grotesk Thin
- Fusion Neue Thin Italic
- Fusion Neue Trial Thin Italic
- Gilam Thin Italic DEMO
- Google Sans Flex Rounded 120pt SemiCondensed Thin
- HelveticaBQ-UltraLight
- IntroCond-Thin
- IntroCondensed-Thin
- IntroCondThin
- IntroCondThinAlt
- KT Sans Thin Italic
- Muller Next Narrow Thin Italic
- News Gothic T Regular Ou1
- NoyhSlim-Thin
- NuberNext Thin
- Onsite Standard TRIAL Thin
- Petrov Sans Thin Italic
- Questline Variable Thin It Ita
- RT Dromo Test Ultra Light
- TextaNarrow-Thin
- Theinhardt-UltraLight
- Uninsta-Light
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.