LuciferSansXCondensed-LightIt
Similar fonts
- ABC Arizona Sans Compressed Trial Regular Italic
- Aldgate Sans XCd Trial Medium Italic
- AspiraXXXNar-Medium
- BankSansEFCY-LigComObl
- Cocotte
- DBFuthairaBodyX-MedCond
- F37 Qbik Trial Medium Condensed Italic
- Flinscher Light
- Fondian Rg
- Instagram Sans Condensed CYR Regular
- Instagram Sans Condensed HEB Regular
- Instagram Sans Condensed MAR Regular
- Instagram Sans Condensed TAM Regular
- Itaca Condensed DemiBold
- LuciferSansXCondensed-Light
- Lupilu Font Condensed Regular
- Muller Next Condensed FF Regular
- Muller Next Condensed Medium Italic
- MullerNext Cn Medium It
- MullerNextBG Cn Regular
- Muzarela-SemicondensedItalic
- neue Easo Eng Trial Regular
- Nu Sans Display Cnd Italic
- PN Freaking Awesome Bold
- Relay Compressed Italic Trial
- Relay Compressed Regular Trial
- Spacia ExtraBold
- Square721CnEU Normal
- SunblastTallRegular
- SuperGroteskC-RegularCnd
- SuperGroteskPro-Cond
- TrilogySans-MdCm
- TT Rounds Neue Trl Cmd Rg
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.