Ghostoona Regular
Similar fonts
- AkzidenTrial UltraCond Book
- Antarctica Ultra Condensed Book
- AntaTrial Ultra Condensed Book
- Baikal Trial UltraCond Book
- Baikal Ultra Condensed Book
- Crystal Trial UltraCond Book
- FSP DEMO - Rslv Sns Smbld Cm Regular
- GansLathModern
- GT Flexa Beta v5 Light Super Compressed
- GT Flexa Beta v6 Light Super Compressed
- GT Flexa Beta v7 Light Super Compressed
- GT Flexa Trial X Cm Lt
- GT Flexa X Cm Lt
- GT Flexa X Compressed Light
- Henkel GT Flexa X Cm Lt
- Job Clarendon Skyline Regular
- Knockout 26
- Knockout-26JuniorFlywght
- Knockout-HTF26-JuniorFlywei
- KnockoutHTF-26JuniorFlyweight
- KnockoutON 26 Junior Flyweight
- KnockouttwentysiCZ
- Lateral Demo Ultra Compressed Regular
- Lateral Trial Ultra Compressed Regular
- Lateral Ultra Compressed Regular
- LT Eyesight Thin UltraCond
- Misfits
- Morganite Medium
- Morganite Pro Medium
- Resolve Sans W05 Semibold Cm
- ResolveSans-SemiBoldCm
- VarialTwo-Light Test
- VarialTwoRounded-Light Test
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.