Trixy Tales_Trial VF Regular
Similar fonts
- Ancron-ExtracondensedBold
- Emberly Extra Light Narrow
- Fickle-ExtracondensedBold
- FOTAncron-ExtracondensedBold
- FOTFickle-ExtracondensedBold
- FOTFoxfire-ExtracondensedItalic
- FOTManchurian-ExtracondensedReg
- FOTQuido-ExtracondensedItalic
- FOTQuido-ExtracondensedRegular
- Foxfire-ExtracondensedItalic
- Manchurian-ExtracondensedReg
- Nabilang
- OT Neue Montreal Book Italic Extra Squeezed
- OT Neue Montreal Squeezed Book Extra Condensed Italic
- Qiber
- Quido-ExtracondensedItalic
- Quido-ExtracondensedRegular
- Trixy Stories Light
- Trixy Stories_Trial Light
- Trixy Stories_Trial Regular
- Trixy Stories_Trial VF Regular
- Trixy Tales Light
- Trixy Tales Regular
- Trixy Tales_Trial Light
- Trixy Tales_Trial Regular
- Trixy Tales_Trial VF Regular
- WigendaTypewrite Med Cond Ita
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.