Forma DJR Banner Hairline Italic
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- AdinahLayers-RoughInline
- Case Hairline Italic
- Case Text Trial Hairline Italic
- Case Trial Hairline
- Case Trial Hairline Italic
- Forma DJR Banner Hair It
- Forma DJR Deck Hairline
- Forma DJR Deck Hairline Italic
- Forma DJR Mono Hair It
- FwTRIAL Case Text Hairline
- FwTRIAL Case Text Hairline Italic
- Hype 1500 XThin
- Interstate-HairlineItalic
- InterstateGR-Hairline
- InterstateGR-HairlineItalic
- MAD Serif Fill Light Italic
- MADSerif-LightItalic
- Mainland-Thin
- Milling TP Trial Simplex G2
- Milling Trial Simplex 0mm
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- Modica Pro Narrow Hairline
- Nauman Neue Test SemiCondensed Thin Italic
- Nauman Neue Trial SemiCondensed Thin Italic
- Neue Television S Light W0 P100
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- OffBitTrial-PointBold
- Regence Outline
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- Rytual Variable_Trial Thin
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- Vocal Hairline Line
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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.