Stardust-UltraCondThinIta
Similar fonts
- Bantat W05 Condensed Thin It
- CoreMellowCondensed-ThinItalic
- CoreSansNCondensed-17ThinItalic
- CS Capito Ascii Regular
- Cutmark Narrow Nr Thin Italic
- Dean Gothic Condensed Thin Italic
- Dean Soft Slab Trial Condensed Thin Italic
- Degitan Thin Italic Condensed
- Domi Anthes Thin
- Domi Anthes Thin Italic
- Enotria Narrow Thin
- FestivoLC-LShadows
- FestivoLC-RShadows
- FestivoLCLShadows
- Folk outline
- Folk-shadow
- Geakosa-ObliqueOutline
- Geon Condensed Thin Italic
- IT Kroxen Demo ExtLt Right
- IT Kroxen Extra Light Left
- Kern Compressed Trial Thin Italic
- MrRobotShadow2
- Novel Sans Hair Pro 24 It
- Novel Sans Hair Pro Cmp 24
- Novel Sans Hair Pro Cnd 30 It
- NovelSansHair-24Italic
- NovelSansHair-30Italic
- Oddity Trial UltraCond Thin Ita
- PoliticaCondensed-LightItalic
- Somar Sans Thin Condensed Italic
- Stardust-UltraCondThinIta
- The Tragic Romantic Outline
- VesalyOutline
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.