PedestriaMVB-Italic
Similar fonts
- ABC Social Condensed Trial Light Italic
- ABC Social Cyrillic Condensed Light Italic
- AlasTrial-XCnLtItContrast
- BebasNeuePro-SemiExpMiddleIt
- Bevellier Light Italic
- Big Shoulders Inline Black
- Big Shoulders Inline Display Black
- CA Slalom Compressed Light Italic
- Colby Narrow Light Italic
- CoreSansN37CnLight
- Cutmark Narrow Nr Light Italic
- Encode Sans Compressed
- FaktConPro-BlondItalic
- FlorinSansLT
- FormlianBolditalic
- FSP DEMO - Geon Condensed Light Italic
- Geeker Thin
- Gineso Norm Regular Italic
- GT Ricardo Light
- HvDTrial SupriaSans-CondLight
- KlavikaCH-LightCondensedIt
- Marianina Wd FY W01 Italic
- MB Corpo S Text Cond Light
- Novel Sans Pro Cmp Light
- ResolveSans-SemiLightNrw
- Revolution
- RonniaLt
- RopaSansPro-LightItalic
- Scotus Sans Condensed Book Italic
- SupriaSans-CondensedLight
- TabletGothicSemiCndLt-Italic
- TRIAL Marianina XWd FY Regular
- Vitalislab
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.