StratoTonale
Similar fonts
- a08d0e719a687f30 - subset of Delvard Disp Std One
- Aeonik Pro Thin Italic
- Aeonik Thin Italic
- Brocha Hair Italic
- Calm Handline Demo Black
- Chrafest Outline
- Clario Thin Italic
- DentonsSans-Thin
- Dx Ruiga Free Personal Use Thin
- F37 Lineca Arabic Trial UltraThin
- F37 Lineca Cyrillic Trial ExtraThin
- F37 Lineca Greek Trial ExtraThin
- F37 Lineca Trial UltraThin
- FenomenSans-Hairline
- FinalSix Hairline
- FSP DEMO - Compiler Plain Thin Regular
- FSP DEMO - Compiler Thin Regular
- GraphikTrial-Thin
- GraphikTrial-ThinItalic
- Liszt FY Hr Italic
- MADETommySoftOutline-Light
- Mixtape Italic Variable_Trial Thin Italic
- MuseoModerno Thin Italic
- Nominee Thin Italic
- Oksana Text Alt Thin
- OldschoolGroteskTrial-Thin
- OmnesArabic Thin
- Produkt Thin Italic
- Quico Display Thin
- Really Sans Large Trial Hairline Italic
- Se Macro TRIAL Hairline Italic
- StratoTonale
- Test Karbon Thin Italic
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.