Kerater-ThinItalic
Similar fonts
- ABC Gravity Wide Trial Hairline Italic
- AlasTrial UltExp Hairline
- Alpaga Trial UEx Hairline It
- Antarctica Ex Hairline Contrast
- Antarctica Expanded Hairline
- Baikal Trial UEx Hairline It
- CoreSansN13ExThin-Italic
- F37 Lineca Arabic Trial Hair10 Italic
- F37 Lineca Arabic Trial Hair20
- F37 Lineca Greek Trial Hair10 Italic
- F37 Lineca Hair10
- F37 Lineca Hair20
- FSP DEMO - Rslv Sns ltrlght xt Regular
- FSP DEMO - Vast XXXL Thin Regular
- Graphik Wide Thin Italic
- Kerater-ThinItalic
- Laro Soft Thin Italic
- LogoSansLightItalic
- Maroon And Black Outline Reg
- Matahari Extended 100 Ex Th Obl
- Melies Thin
- Monckeberg Thin It
- MonoTrial UltExp Hairline Ita
- Neue Television S Retro Light W0 P100
- Omnes_Huggies Thin Italic
- OmnesGirlScouts-ThinItalic
- Resolve Sans W05 Thin Ext Ita
- Resolve Sans W05 Ultlight WdIta
- ResolveSans-UltraLightExt
- Stardust Semi Expanded Hairline
- TahuraOutline
- TahuraOutline-Italic
- Zeist N2 TEST FONT Hairline 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.