Muller Next Condensed Hairline
Similar fonts
- ABC Gravity XX Compressed Greek Trial Hairline Italic
- Antarctica XCn Hairline It
- Antarctica XCn Hairline It Cont
- AntaTrial-XCnHairlineItContra
- Bankside Sans XCd Trial Hair
- Caslon Doric Cond Hairline Italic
- CaslonDoricCondensed-HairlineIt
- CaslonDoricCondensedTrial-HairlineIt
- Crystal ExtraCond Hairline Ita
- Fact Condensed Web Thin
- Fact Web Condensed Thin
- FaktConPro-Air
- FaktSlabCon-Air
- Fort XCond Thin Italic
- Fort XCond TRIAL Thin Italic
- FSP DEMO - Molde Condensed-Thin Italic
- Gram Regular
- Hype 0900 XThin It
- Hype 1000 Hairline It
- Hype 1000 XThin It
- Klavika Display Thin Cond
- KlavikaDisplay-ThCond
- KlavikaDisplay-ThinCondensed
- Muller Next Condensed Hairline
- Muller Next Condensed Hairline Italic
- New Theory
- Novel Sans Hair Pro Cnd 14 It
- NuberNext-ThinCompIta
- SansBeamHead-HairItalic
- Solido Condensed Hairline Italic
- UnitedItalic-ThinCd
- UnitedItalicCond-Thin
- YFF Zusker PERSONAL USE Cn Th
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.