Norbert Schmal Mager Kursiv
Similar fonts
- Artegra Sans Cn SC Thin
- ArtegraSansCnSC-Thin
- ArtegraSansCondensedSC-Thin
- Artex Condensed Trial Hairline
- Artex Var Condensed Regular
- Buoyage Str
- ClanPro-CondThin
- DSertAlt-ExtraLight
- Eastman Compressed Alt ExtraLight
- FL Art Grotesk DEMO Tight Thin Italic
- FSP DEMO - lltrp xCndnsd Thn Regular
- FSP DEMO - Polate Soft D4 Thin Regular
- FSP DEMO - rtgr Sns Cn SC Thn Regular
- Galeana Compressed Light
- MasifaExtraCn-Thin
- Matria Condensed Trial Thin
- Modon Arabic W05 Light
- Monitor Condensed Trial Thin
- Norbert Schmal DEMO Mager Kontra
- Norbert Schmal DEMO Mager Kursiv
- Norbert Schmal Mager Kontra
- Rakesly Hairline
- RakeslyUl-Regular
- Renew 22 XComp Light Ita
- Sharp Grotesk Thin Italic 11
- SharpGrotesk ThinItl Unlicensed Trial 11
- SharpGrotesk TRIAL ThinItl 11
- SharpGrotesk-ThinItalic11
- Somar Rounded Thin Condensed
- Somar Sans Thin Condensed
- Sundry Variable UltCond Thin
- Sundry-ThinCondensed
- Theinhardt Comp Trial Ulight Ita
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.