VariableUltraLight Italic
Similar fonts
- Alaska Cond Hairline Contrast
- Alaska ExtraCond Hairline Ita
- Alaska ExtraCondensed Hairline Italic
- AlasTrial XCn Hairline It Contr
- Antarctica Cn Hairline Contrast
- Bakewell W05 Hairline Narrow
- DDTCdUl-Italic
- Fact-NarrowThin
- FaktSlabSemiCondensed-AirItalic
- FaktSlabSmCon-AirItalic
- FaktSmCon-HairItalic
- FaktSmConPro-AirItalic
- FSP DEMO - Intro Head R H2 Regular
- FSP DEMO - Intro Head R L Shade Regular
- FSP DEMO - ntr Hd B H2 Shd Regular
- Gridink W05 Thin Obl
- Hype 1200 Hairline It
- Hype 1300 Hairline It
- Hype 1300 XThin It
- Intro Head B L
- IzmirNarrow-HairlineItalic
- MezaliaSans-ThinCursive
- Novel Sans Hair Pro XCnd 12
- November LCG Hairline
- November SC Hairline
- November-Hairline
- October Pro Hair
- October Tamil Hairline
- Peperoncino Sans Tribe Outline
- Remora Sans W1 Thin Italic
- ResolveSans-ThinNrwItalic
- Targa Pro Mono Trial Th It
- Teletext Trial Unlicensed Thin
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.