CleanSlate-Regular
Similar fonts
- A ka -011 Bold
- Clobot
- Clobot Regular
- Extenda Trial 30 Deca
- Flicker
- FSP DEMO - Hyprspc Rc Cpsl XTll Bold
- FSP DEMO - HyprspcRcCmprssdLght Bold
- FSP DEMO - HyprspcRcCpslXTllHvy Regular
- FSP DEMO - Tallica Bold Regular
- Gear Trial XXNarrow XBold
- GT Standard Mono Beta V2 Compressed Bold
- GT Standard Mono Compressed Heavy
- GT Standard Mono Trial Cm Hv
- HeadingNow 26 XComp Bold
- HeadingNow Trial 26 XComp Bold
- HeadingNow Trial 27 XComp XBold
- Hyperspace Race Capsule XTall Bold
- Hyperspace Race Capsule XTall Heavy Demo Regular
- Hyperspace Race XTall Heavy
- HyperspaceRaceCompressed-Hv
- Jongres
- Jongres
- Klub02-Black
- LDN Mammoth No2
- Lugak Sans Bold Thigt
- Narrowtone Regular
- Neutronic Compressed Heavy
- OPBinderStyle-Bold
- OPTIBinderStyle-Bold
- SteelfishRounded-ExtraBold
- Tallica Bold
- VL Tallica Bold
- Wingsuit
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.