K0VKSquareN
Similar fonts
- Clan SC Offc Comp Italic
- Clan SC Offc Pro Comp Italic
- FL Art Grotesk DEMO Squeezed Bold Italic
- FL Science Sans DEMO Squeezed Bold Italic
- K0VKSquareN
- Obviously Cmp SemiBold Italic
- Obviously Comp Semi Italic
- Obviously Compressed Semibold Italic
- Obviously Demo Compressed Semibold
- ObviouslyComp-SemiBoldItalic
- PostersTrial ExtraCond Med Ita
- PostersTrial SemiCond ExtLt
- PostersTrial XCn SmBd It
- Swissposters SmCn XLt Tall
- Swissposters Tall XCnd Md It
- Swissposters XCn Md Tall It
- Swissposters XCn SmBd Tall It
- SwisspoTrial SmCn XLt Tall
- SwisspoTrial XCn Md Tall It
- SwisspoTrial XCn SmBd Tall It
- Swisspstrs Trial SmCn XLt Tall
- Swisspstrs Trial XCn Md Tall It
- Swisspstrs Trial XCn Sm Tall It
- Tamra-Light
- TBJ margin condensed ExtLt
- Tusker Pro 2500 Medium Italic TRIAL
- Tusker Pro 2600 Semibold Italic TRIAL
- Tusker Pro EOR 2500 Medium Italic
- Tusker Pro EOR 2600 Semibold Italic
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.