SP_Color Silver FA
Similar fonts
- Acta Poster W02 Italic
- Acta Poster W05 Italic
- AustinHairlineTrial-FatItalic
- BrunelHairlineTrial-BlackItalic
- Bruphy SemiBold Wide
- CHRISTMASPARTY-Regular
- Didonesque Poster Italic
- Domaine Sans Display App Black Regular
- Domaine Sans Display Blk
- Domaine Sans Fine App Black Regular
- Flecha Bronzea L Black
- FSP DEMO - Contane Heavy Regular
- FSP DEMO - Ddnsq Pstr tlc Regular
- IT Xytrion Regular
- Italian Plate No6 Display Extrabold
- MiniMasa
- Obsidian Layers Background Regular
- Para Supreme Fine Super
- PP Right Didone Wide Black
- PP Right Sans Wide Black
- Prospectus XL Black Italic
- Salome
- SalomeFine-Italic
- SP_Color Silver FA
- SP_Ribbon Color-Il
- SP_Watchara Color-BT
- SP_Watchara Color-OR
- Surveyor Fine Black Regular
- Test Domaine Sn Fn Black
- Test Domaine Sn Fn Black Italic
- Test Domaine Sn Fn Blk Italic
- Workhorse Nouveau Stencil Test Black Min
- WTF Nouveau Stencil Test Bold
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.