Favorit Mono Beta
Similar fonts
- ABC Favorit Edu Book Italic
- ABC Favorit Hebrew Variable Unlicensed Trial Regular
- ABC Favorit Mono Edu Book Italic
- ABC Favorit Mono Variable Unlicensed Trial Regular
- ABC Favorit Pro Trial Book Italic
- ABC Social Plus Variable Unlicensed Trial Regular
- ABC Whyte Mono Trial Book
- ABC Whyte Semi Mono Trial Regular
- ABC Whyte Semi-Mono Unlicensed Trial Italic
- ABC Whyte Trial Book Italic
- Akkurat Mono Trial
- Alliance Text Regular Italic
- Circular Book
- DBHelvethaicaX-55Regular
- Dima Ubuntu
- F37 Zagma Trial Book
- FavoritMonoStd-SemLtIta
- Fh_Hyperbole-Bold
- GT Standard Trial M Rg Obl
- Inicia
- Kontur Medium Italic
- Labil Grotesk Trial Regular
- neue Singular H Trial Regular
- NeufileGrotesk-ExtendedRegular
- Orea UG Semibold
- Pedigree Light
- Proxima Soft Medium
- Retain Trial Regular
- Ritual Mono Trial Regular Italic
- ScalaSansOT-Regular
- SF Pro Italic
- SFUIText-ItalicG3
- TradaSans-Regular
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.