NarzissSwirls
Similar fonts
- Barieta-Medium
- Domaine Sans Fine App Light Italic Regular
- Domaine Sans Fine App Light Regular
- Domaine Sans Fine Test Light Italic
- Domaine Sans Fine Test Regular
- DomaineSansFine-Light
- DomaineSansFine-LightItalic
- DomaineSansFine-LightItalicTest
- DomaineSansFine-LightTest
- Franca Test ExtraLight
- HT Baybars Display Regular
- mr_NeonAbsoluteSansG
- NarzissSwirls
- Neon Absolute Sans
- NEON ABSOLUTE SANS 1
- NisantasiTypeface-Regular
- Phase-A 0-100-0
- Phase-A 51-81-31
- Pixel Grid Trial Line Down Li S
- Ravensara Antiqua Stencil Light
- Ravensara Antiqua Stencil Light
- Resonay Base DEMO Light
- Resonay Base Light
- StaffordRandom-XlightItalic
- Test Domaine Sans Fine Lt
- Test Domaine Sn Fn Light
- Test Domaine Sn Fn Light Italic
- Test Domaine Sn Fn Lt Italic
- Ultimate Random Xlight
- VeryUgly
- Vtks Beautiful Dreams
- We Benang Script Variable Hairline
- Yessica Light
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.