SP_Color Gold SD
Similar fonts
- Brunel Hairline Web Bold Italic
- BrunelHairline-BoldItalic
- Bruphy Medium
- curly lava bubble Bold
- DomaineSansFine-BoldItalic
- DomaineSansFine-ExBoldItalicTest
- EFILES
- Eloora
- F37 Caslon ExtraBold Hairline Condensed
- FloralItalic
- FSP DEMO - lvtt CF xtr Bld Italic
- Funky37-Bold
- FwTRIAL Tausend Stencil VAR
- GerlineRough-Italic
- Grand Cru W05 Extrabold L It
- IT Xytrion Italic
- LeJeuneHairline-BlackItalic
- Lust Didone Fine
- Lust Fine
- NarzissProCyrillic-Ultra
- Parnaso Hairline Extrabold
- Parnaso Hairline Trial Black
- PP Right Sans Spatial Dark
- Prospectus Pro XL Bold Italic
- SP_Color Gold SD
- SP_Paper Color-DC
- SP_Paper Color-LC
- Tectonica-Engraved
- Test Domaine Sans Fine Bold
- Test Domaine Sn Fn Bold
- Test Domaine Sn Fn Xbold
- Test Domaine Sn Fn Xbold Italic
- TronicaMono-Regular
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.