Marianina-LightItalic
Similar fonts
- Anek Gujarati SemiCondensed ExtraLight
- Anek Kannada SemiCondensed ExtraLight
- Anek Tamil SemiCondensed ExtraLight
- AntennaSerifExtraCond-ExLtIt
- Ardoise Std Tight ExtraLight
- Asap Condensed Thin
- BaikalTrial-ExtraCondExtLtIta
- Chathura 300
- Core Mellow 27 Cn ExtraLight Italic
- DSert-LightItalic
- Freigeist XCon Light Italic
- Geogrotesque Sharp Cond UltLt
- GL Bader Narrow Light
- Graphik Cond Web Light Regular
- Graphik XCond Web Light Italic
- Grtsk Zetta Extralight
- Guardian Sans XCond Web LT Italic
- InkwellCondensed-Light
- Kibbles-ExtracondensedBold
- KommonGroteskCom-ExtraLight
- Kranto Text Cond Thin Italic
- Lama Sans ExtraLight Condensed
- Loos Compressed Extra Light
- National 2 Cond ExLt Test
- National2Condensed-XLight
- Publish Gothic Condensed Extralight Italic
- Routine Variable Thin Cond Ita
- Saira ExtraCondensed ExtraLight Italic
- Speedee Condensed Light
- Test National 2 Cnd Xlight
- VC Nudge Trial Light
- Vin Sans Pro ExtraLight Italic
- ZT Talk Light Condensed Roman
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.