CentraleSansBook
Similar fonts
- ABC Schengen B Mono Unlicensed Trial Light
- Alaska Expanded Light Italic
- Artegra Sans Ex Alt Med I
- ArtegraSansExtended-MedIta
- BD Megatoya Extended
- Bourrasque TEST 45 Est
- Bw Modelica SS01 Regular Italic
- Bw Modelica SS02 DEMO Regular Italic
- Campeche Display Ex Regular
- CF Fortusnova Light Italic
- Charger Sport Defiance
- Compasso Extended Trial Italic
- CoreSansNR43ExRegular-Italic
- FOTGeode-ExpandedRegular
- Freigeist Mono Variable Test Roman
- GoodHeadlinePro-ExtdLightItalic
- Grtsk Peta Italic
- Inconsolata ExtraExpanded Regular
- Marsden Wide Regular
- Meutas Soft Light Oblique
- MrEavesXLSanOT-Reg
- NaN Metrify Arabic C Light
- NaN Metrify B TRIAL XWide Light Italic
- NaN Metrify Cyrillic C Standard Light Italic
- NaN Metrify Latin B TRIAL VF Light
- NeoGramExtended-MediumItalic
- Oddity Trial Exp Light Ita
- Plain Light Italic
- Plakat Italic
- Ringside Wide Book
- Sarmady Light Expanded
- TRY Grtsk Tera Bkslnt Regular
- WithoutSans-MediumItalic
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.