LuciferSansCondensed-BoldItalic
- NameLuciferSansCondensed-BoldItalic
- Family
LuciferSansCondensed
- Style
Bold Italic
- Added
03 Mar 2026
Similar fonts
- Addiction Italic
- Blocksta
- Bogle Black Italic
- Bogle Web Black Italic
- Brandon Text Black Italic
- BrandonText-BlackItalic
- Culturo Bold
- Cyberverse Condensed
- Flink Neue Bauhaus Cmp Test XBold
- Flink Neue Bauhaus Cmp Test XBold It
- Flink Neue Bauhaus Cmp XBold
- Flink Neue Cmp Test XBold
- Flink Neue Cmp Test XBold It
- Flink Neue Text Cmp Test Black It
- FontSoupGermanOT-Extrabold
- FRIGO
- FSP DEMO - ntr Cnd Blck tlc Regular
- HarryPro-FatSqueezed
- HvDTrial BrandonText-BlackItalic
- IdealGothic-Black
- IntroCond-BlackAlt
- IntroCond-BlackItalic
- IntroCondensed-BlackAlt
- IntroCondensed-BlackItalic
- jAWAD Lehaza Bold
- Lombardo
- LuciferSansCondensed-BoldItalic
- LuciferSansCondensed-ExtraBold
- LuciferSansCondensed-SemiBoldIt
- NsaiExtraBold
- SunblastBold
- Technical Standard VP Bold
- TT Chocolates Trl Cnd XBd It
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.