Ambiance BT W01 Regular
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- 23 seconds to midnight
- ABC Arizona Text Compressed Thin Italic
- ABC Arizona Text Compressed Trial Thin Italic
- ABC Arizona Text Compressed Unlicensed Trial Thin Italic
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- Adillia
- AmadineSignature-Regular
- Ambiance BT W01 Regular
- AmbianceBT-Regular
- BertoniText
- Collier-CompressedExtraThin
- Collier-CompressedExtraThinIt
- CYN_Ypsoma_Bold_it
- Denton Extra Condensed Thin
- Denton XCondensed Test Thin
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- Fanxiacond
- FanxiaItaliccond
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- Rophian Italic
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- TRT Kingdom Heaven Demo ExtLt
- Trukes
- ZP Ice Cream Alley Condensed
- ZT Bros Oskon 90s Lt SmCn
- ZT Bros Oskon 90s Lt SmCn It
- ZT Bros Oskon 90s SemiCond It
- ZT Bros Oskon 90s SemiCond Ita
- ZT Bros Oskon 90s XLt SmCn
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.