SkolarSansLatn-BlIt
Similar fonts
- ABC Favorit Extended Unlicensed Trial Ultra
- ABC Monument Grotesk Unlicensed Trial Ultra
- ABC Schengen B Mono Unlicensed Trial Heavy Italic
- ABC Whyte Hangul Inktrap Unlicensed Trial Black
- Almanach Black
- CairoliClassicTrial Extended Heavy Italic
- Caslon Doric Wide Fat
- Endurance Pro Black
- FagoEx-BlackItalic
- FagoStd-ExtBkIt
- Georama Expanded ExtraBold
- GT Flexa Beta v7 Black Super Extended
- HelvDiag
- Job Clarendon Wide Black
- KawaiiRT-MonaShine
- KnockoutON 93 Ultimate Heavyweight
- Kranto Text Black Italic
- Lang-Black
- Lateral Demo Standard Heavy Italic
- MalagaOT-BlackItalic
- Marsden Black
- Mudhead Black Italic
- NaN Metrify Cyrillic A TRIAL Black
- NaN Metrify Cyrillic B TRIAL Black
- NEBORA Bold Slanted
- NN Swinton TRIAL Black
- PP Right Grotesk Spatial Black
- PP Right Grotesk Wide Black Italic
- RB Nylo Test Heavy Italic
- StagSansTrial-BoldItalic
- SuccessorTrial-Extrabold
- Terribo-Black
- TisaOT-BlackIta
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.