Minimala-RegularItalic
Similar fonts
- AA Actual Mono Regular Italic
- ABC Pelikan Condensed Unlicensed Trial Book Italic
- Amplitude-Book
- BlusetH EL Condensed Regular
- Charlie-RegularItalic
- ClanPro-NarrNewsItalic
- Dynamic Drips Splash Right
- EastBroadway Medium Thin
- FedraSansAltStd-BookItalic
- FOTGeode-CondensedBold
- FranklinGothicBookCondITC Ital
- FranklinGothicURWCond-Book
- Geode-CondensedBold
- GuardianAgateSans1-Regular
- Hermes Maia C3
- JTMillburn-CondensedSlanted
- Kendrake-CondensedRegular
- KnitageBolditaliccond
- Kuunari Regular Italic
- Lama Rounded Medium Condensed Italic
- Magenta Italic Thin
- Monia
- NaN Rage Beau X-Condensed-TRIAL Medium
- NaN Rage Quik X-Condensed-TRIAL Medium
- NaN Rage Sans X-Condensed-TRIAL Medium
- National2Narrow-Regular
- National2Narrow-RegularTest
- Novel Display Italic
- OnStageSerial-Light-Italic
- Parco Book Italic
- PP Right Grotesk Compact Regular Italic
- PretoSansRegular-Italic
- Trial Goji Text
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.