SamsungOneItalicLatin-500C
Similar fonts
- A2RecordGothic-Regular
- AmsiPro-NarrowRegular
- Apercu Condensed Italic
- BatterseaSANS-Regular
- BentonSans Condensed Regular
- DarwinAlt-LightItalic
- Encode Sans Compressed
- FSJoey
- FSP DEMO - Fester SemiBold Italic
- FSP DEMO - Light Cond SeObli Italic
- FSP DEMO - Peridot LT Narw Regular
- Gineso Norm Regular Italic
- Herokid Italic Regular Narrow
- Hoxton North Test Italic
- HvDTrial SupriaSans-CondLight
- Italian Plate No1 Italic
- Komplekt 050 Medium Italic
- MD System Narrow Test Italic
- Mislab Std Narrow
- Molde SemiCondensed-Regular Italic
- Mudhead Slab Italic Light
- NeoGram Light SemiCondensed
- Noto Sans Regular
- Peanut Butter Cookies
- PorscheNextTT-Italic
- ResolveSans-SemiLightNrw
- ScaniaSansCondensed-Regular
- Scotus Sans Condensed Book Italic
- SERIAL E TRIAL Light Extended
- Sudo Var Regular
- SupriaSans-CondensedLight
- UrboxNuRsq
- Xenu-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.