NaN Rage Soft X-Condensed Thin
Similar fonts
- Apercu Condensed Pro Thin
- AttractiveCond HairLineItalic
- Ballinger Condensed TEST Thin
- Ballinger Condensed Thin
- Branding SF Cnd Thin
- Ciutadella Display TRIAL Th
- EastmanCondensedAltXLt
- EastmanCondensedTrial Extralight
- Fabrikat Hairline
- Fabrikat Mono Hairline
- Fester_Trial ExtraLight Italic
- Festivo Clean W03 Outline
- FSP DEMO - Bion Hairline Cond Regular
- FSP DEMO - Nmn Thn Cndnsd Regular
- FSP DEMO - Yshd Sns Thn Cndnsd Regular
- HvDTrial Fabrikat Kompakt Hairline
- Iconic-Extralight
- Marsden Narrow Hairline
- Movida Condensed UltraThin Italic
- NaN Rage Slab X-Condensed-TRIAL Thin
- NaN Rage Zipp X-Condensed-TRIAL Thin
- Neusa Next Std Trial Condensed Thin
- Noto Sans Oriya Condensed Thin
- OrevThin
- RakeslyUl-Italic
- SinewsSansPro-Hairline
- Spezia Narrow TEST FONT Thin Italic
- Spezia Narrow Thin
- Spezia Narrow Trial Thin Italic
- Spezia Trial Narrow Thin
- Spezia Trial Narrow Thin Italic
- ThreeSix11OT-018Thin
- TTMarksRough-ExtraLight
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.