Baskerville Old Face D Ou1 Regular
Similar fonts
- AgileSans-ThinItalic
- Allium Thin Italic Trial
- Antikor Display Thin
- Apparat Thin
- Bisque W03 Thin
- Brown LL Grk Thin
- Bryant-Light
- CirceRounded-ExtraLight
- Citerne Thin
- CocoBikeR UltraLight
- Cocomat Pro ExtraLight
- Ekster Thin Italic
- F37GingerThin
- Faktum-WideThin
- Flink Neue Bauhaus Cnd Test Thin
- Flink Neue Text Test XLight It
- FSP DEMO - Nv Grtsk xpndd Thn Italic
- FSP DEMO - PGF-Qlt xtrLght Regular
- GT Walsheim Pro Ultra Light
- HvDTrial BrandonText-ThinItalic
- HvDTrial Graphit Thin Italic
- LiberalCondensed-UltraLight
- Macho-ThinItalic
- Mack Variable Regular
- MaduraiSlab-ExtThiIt
- Mark Offc Pro Thin
- Novera Test Classic Thin
- PantriaOutline
- PG Grotesque Extended Thin
- RB Neurath Test Thin Italic
- RT Dromo Test Ultra Light
- Sofia-ExtraLight
- YWFTFormation-Extralight
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.