ComeniaScriptA
Similar fonts
- AmberlySans-Thin
- ComeniaScriptA
- ComeniaScriptB
- Faktum Test XCon ExtraLight
- Faktum-XConExtraLight
- Flink Neue Bauhaus Cmp Test Light
- Flink Neue Bauhaus Cmp Test Light It
- Flink Neue Cmp Test Light It
- Flink Neue Text Cmp Test Light
- Flink Neue Text Cmp Test Light It
- FOTGeorgio
- Friend or Foe Tall Outline BB Italic
- Georgio
- GT Walsheim Cn Th
- GT Walsheim Condensed Thin
- GT Walsheim LC Cn Th
- GT Walsheim Pro Condensed Thin
- GT Walsheim Pro Trial Con Thin
- GT Walsheim Trial Cn Th
- JKHandwriting Light
- LTC Camelot W00 Display
- LuciferSansSemiCondensed-ThinIt
- MaduraiSlabCondensed-LightItali
- Magdelin Alt ExtraLight
- Magdelin ExtraLight
- Magmatic Thin Trial
- Merlo Neue Thin
- Post Grotesk Unlicensed Trial Thin
- Seat Bcn - Web Light Condensed Italic
- Seat Bcn-Cyrillic Condensed Light
- Stainless-Thin
- StandardCT-Regular4
- Venoisse
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.