NaN Serf A Text Light
Similar fonts
- ABC Pelikan Cyrillic Trial Book Italic
- ABC Pelikan Mono Unlicensed Trial Book Italic
- ABC Pelikan Semi Mono Greek Trial Book Italic
- ABC Pelikan Trial Book Italic
- ABC Pelikan Unlicensed Trial Book Italic
- Antique No 6 Light Italic
- Borna Light
- CalipsoC
- Corda-LightItalic
- DE2DisplayEgyptianLight
- Franziska SC Offc Light
- GC Milan Headline Demo Lt Text
- Gimlet Sans Text Light
- Inversi W05 Regular
- McClatchy Slab Light Regular
- Newsreader 9pt Light Italic
- Nice Micro Trial XLight
- Nombre Sans Thin
- Prospectus Pro S Thin
- Roboto Serif 20pt Light Italic
- Roboto Serif 36pt ExtraLight Italic
- Roboto Serif SemiCondensed Light
- Roster Light Italic
- Shinka Unlicensed Trial Light Italic
- Sirenia Thin
- Sirenia Thin Italic
- Spezia Serif D TEST FONT Regular
- Spezia Serif D Trial Regular
- Spezia Serif Trial Regular D
- SpeziaSerif-RegularD
- Umiak Light Italic
- Zenga-Italic
- ZengaTrial 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.