Retain Trial Regular
Similar fonts
- ABC Favorit Edu Book Italic
- ABC Favorit Hebrew Variable Unlicensed Trial Regular
- ABC Favorit Mono Variable Unlicensed Trial Regular
- ABC Favorit Pro Trial Book Italic
- ABC Social Plus Variable Unlicensed Trial Regular
- ABC Whyte Semi Mono Trial Regular
- ABC Whyte Semi-Mono Unlicensed Trial Italic
- ABC Whyte Trial Book Italic
- Akkurat Mono Trial
- Basel Trial 48
- DBHelvethaicaX-55Regular
- Dima Ubuntu
- FavoritMonoStd-SemLtIta
- Fh_Hyperbole-Bold
- FSP DEMO - Alfabet Italic
- GT Standard Trial M Rg Obl
- IBM Plex Sans KR Text
- Inicia
- Kurinto Mono
- Milligram Text Trial Italic
- neue Singular H Trial Regular
- NeufileGrotesk-ExtendedRegular
- Oddlini-RegularSeObli
- Orea UG Semibold
- Pedigree Light
- Retain Trial Regular
- Ritual Mono Trial Regular Italic
- Rumiko Sans Regular
- SFUIText-ItalicG3
- SuisseIntlMono-Regular
- TradaSans-Regular
- Ubuntu Monospaced Italic
- X Shafigh
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.