Strongest Weakest Outline
Similar fonts
- Almendra Display Regular
- AmmanV3 Sans Thin
- BoxedThin-Italic
- Brilk Sans Thin
- Brilk Thin
- CharliePro-HairIta
- Eastman Condensed Alt Th
- Eastman Condensed Th
- FSP DEMO - Brilk Sans Thin Italic
- FSP DEMO - Nmn Thn Cndnsd Italic
- FSP DEMO - Yshd Sns Thn Cndnsd Italic
- Ghouls Club Scab Oblique
- HeliumOutline-Heavy
- HeroeMonolineSmallPro
- HeroeMonolineSmallStd
- Laura-UltraLightItalic
- Manual Hairline Condensed
- Manual-CondensedHairline
- MasifaCn-ThinIt
- MasifaRdCn-ThinIt
- Maximalis Cond Ita Outline
- Nominee Thin Condensed Italic
- Obviously Narrow Thin Italic
- Parclo Sans Condensed Thin Italic
- Pathway Extreme 120pt SemiCondensed ExtraLight Italic
- Pensum Pro DEMO Thin Italic
- PensumPro-ThinItalic
- Sharp Grotesk PE Trial Thin Itl 15
- Sharp Grotesk Thin Italic 15
- SharpGrotesk ThinItl Unlicensed Trial 15
- TangerSerifNarrowUl-UltraLight
- Workhorse Gothic 2 Test Thin Oblique
- Yoshida Sans Thin Condensed 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.