MarianinaCnFY-Thin
Similar fonts
- ABC Gravity XXXX Compressed Trial Regular Italic
- AddressSansPro-CdThin
- AlternateGothicCondATF-Thin
- Anek Bangla Condensed Thin
- Anek Devanagari Condensed Thin
- Anek Gujarati Condensed Thin
- Anek Latin Condensed Thin
- Anek Telugu Condensed Thin
- Big Shoulders Inline Display Light
- Bw Stretch Thin
- Criterium Ultra Light
- EK Modena Test Hairline Compressed
- EK Modena TRIAL Hairline Compressed
- Entrofly Trial Thin
- Enyo Serif Light Italic
- Enyo-LightItalic
- Fairweather Thin
- FSP DEMO - Hrkd Thn Cndnsd Regular
- FSP DEMO - RslvSnsxtrlghtCmt Regular
- Geogrotesque XComp TRIAL Th
- Georama ExtraCondensed Thin
- Georama ExtraCondensed Thin
- Georama ExtraCondensed Thin Italic
- Georama Regular Variable
- Matria Compressed Trial Thin
- Molde Compressed-UltraLight Italic
- Resolve Sans W05 Xlight Cm Ita
- ResolveSans-ExtLtCmIta
- Science Gothic UltraCondensed Thin
- Titular Light
- TT Bluescreens Thin It
- TT Bluescreens Trial Thin Italic
- TT Bluescreens Trl Thin It
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.