EFILES
Similar fonts
- BennetBanner Black
- BennetBanner ExBold
- Broted Young plant Heavy
- Brunel Hairline Semibold
- BrunelHairline-BoldItalic
- curly lava bubble Bold
- Didoni
- Domaine Sans Display App Bold Italic Regular
- Domaine Sans Display App Extrabold Regular
- DomaineSansDisplay-Bold
- DS Title Medium Bold Italic
- fj Meduza Display Bold Italic
- fj Meduza Regular Display Italic
- FSP DEMO - lvtt CF xtr Bld Italic
- IT Xytrion Italic
- LeJeuneHairline-BlackItalic
- LeJeuneHairline-BoldItalic
- LincolnMillerB-Black
- Magnat Poster Bold Italic
- Morison Display Extrabold Italic
- MorisonDisplay-BoldItalic
- NarzissProCyrillic-Ultra
- NN Didot Modern STD Black Italic
- Pistilli
- Prumo Display ExtraBold Italic
- SangBleu Empire Black Italic
- Sonali Black
- Surveyor Fine Bold Regular
- SVN-AlekOrnaments
- Test Domaine Sans Display Bd
- Test Domaine Sn Disp Bd It
- Test Domaine Sn Fn Bold
- Test Domaine Sn Fn Xbold
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.