Fact-NarrowThin
Similar fonts
- Alaska ExtraCond Hairline Ita
- AlasTrial XCn Hairline It
- AlasTrial XCn Hairline It Contr
- AlasTrial-ExtraCondHairline
- AlasTrial-XCnHairlineContrast
- Almendra Display Regular
- AntaTrial Condensed Hairline
- Baikal Condensed Hairline
- Baikal Trial Condensed Hairline
- Base Neue Trial Thin Oblique
- Crystal Trial Cond Hairline
- DDTCdUl-Regular
- Eastman Condensed Alt Th
- Eastman Condensed Th
- Eund UltraLight
- F37 Lothian Trial Hairline Italic
- FaktSmConPro-AirItalic
- FSP DEMO - Mld SmCndnsd-Thn Italic
- FSP DEMO - Rslv Sns Thn Nrw t Regular
- Gear Trial XXNarrow XXLight Backslant
- Handjet Oval Double Regular
- HeliosCondBlackOutline
- Hype 1200 Hairline It
- Hype 1200 XThin It
- MarrSansCond-ThinItalic
- MezaliaSans-ThinCursive
- Nomada Sans Hairline Italic
- PreloCondensed-HairlineItalic
- PreloNavigator-HairlineItalic
- Resolve Sans Thin Nrw Ita
- ResolveSans-ThinNrwItalic
- Stardust Trial Cond Hairline
- Targa Pro Mono Thin Italic
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.