Faniling
Similar fonts
- Agatha Trial XCn SmBd Contrast
- Bee Mine Regular
- CoutureSans-Regular4
- Data Error Horiz AOE Pro Bold
- DataErrorAOE-Bold
- Dezen Stencil 01 Regular
- Dezen Stencil 03 Regular
- Eurocat Sans Medium
- FFF Fundamental
- Fiery Turk
- FOTSpiderAttack
- Luke Test Thick100
- Luke Thick100
- Marga Light Italic
- MenoBannerExtraCond Bold
- Miller Banner Extra Condensed Semi Bold Italic
- MiniSet2
- Mobern Fashion Bold
- Mort Modern 15 Large Medium Condensed Italic
- MORVA Italic
- Parmigiano Headline Pro Medium Italic
- ParmigianoHeadlinePro-MedIta
- Scholar Regular
- Scotch Display Compressed SemiBold
- Spezia Serif Condensed A Trial Medium
- Spezia Serif Condensed A Trial Medium Italic
- Spezia Serif Condensed TEST FONT Medium A
- Spezia Serif Condensed TEST FONT Medium Italic A
- Spezia Serif Condensed Trial Medium A
- Spezia Serif Condensed Trial Medium Italic A
- SpiderAttack
- SVN-MORVA
- TBJ Malibu Bold
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.