NeverMind UltraCondensed ExtraLight
- NameNeverMind UltraCondensed ExtraLight
- Family
NeverMindUltraCondensed
- Style
ExtraLight
- Added
03 Mar 2026
Similar fonts
- Angela Trial Bold Italic
- AntennaNarrow-ExtraLight
- Avory I PE El It
- AvoryILatn-ElIt
- Barlow Condensed ExtraLight
- Brice
- Brice-ExtraLightCondensed
- Core Mellow 27 Cn ExtraLight
- CoreMellow-CnExtraLight
- Din Text Pro PF Thin Comp
- FSP DEMO - Grllmstr Nrrw xtLt Italic
- FSP DEMO - rtc xtrCnd xtrLght Regular
- FSP DEMO - Uniform Pro Xcon Thn Regular
- Georama Condensed Light Italic
- LDDewave-Type1
- Lucidity Psych Outline
- Marsden Condensed ExtraLight
- Netflix Sans App UCd Thin Italic
- PP Right Grotesk Tall Light Italic
- PreloCompressed-Light
- RakeslyEl-Regular
- RetinaCondensed-ExtraLight
- RetinaMicro-A01
- Rude ExtraCondensed Thin Italic
- ScoutCond-ThinItalic
- Sofia Sans Extra Cond LightItalic
- Spezia Condensed Book
- Spezia Condensed Trial Book
- UnitedSerif-LightCd
- UnitedSerifCond-Light
- Web Serveroff
- Whiskey Bite Outline
- Worship-ExtracondensedBold
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.