CCHeroSandwichMeat
Similar fonts
- Adrianna Condensed ExtraBold Italic
- AmmanV3 Sans Bold Italic
- Ansage XBold CD Italic
- Answer 3D Filled Regular
- BaseTwelveSansBI
- Cocon Condensed Bold
- CoconOT-BoldCond
- EastmanCondensedAltTrial Extrabold Italic
- Fraiche Trap Medium Light
- FSP DEMO - Quan Pro Black Italic
- FSP DEMO - sclBlckSlntdCndnsd Regular
- FSP DEMO - Yshd Sns Bld Cndnsd Italic
- Gosh Trial Black Condensed Italic
- Gregory Grotesk Condensed DEMO xBold
- Grimpt-PrintBold
- Heading Pro Medium Trial Black Italic
- HeadingNow Trial 65 Norm Medium
- Industry-Bold
- Italian Plate No7 Black Italic
- KautivaProBlack-Italic
- Kicker Trial Semibold
- Mallory TRIAL Cond Black
- MulaSlim-ExtraBoldItalic
- Netflix Sans App Cd Black
- Reggefiber-ExtraBold
- Republic-Bold
- SamsungOneLatin-1000C
- Sayer Script MN Black
- SB Sans Text Cond Bold
- Sharp Grotesk Bold Italic 17 Regular
- SharpGrotesk-BoldItalic17
- Spezia Narrow Trial Bold
- Spezia Trial Narrow 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.