Manual Hairline Compressed
Similar fonts
- Almoni Tzar ML v5 AAA Thin
- BRANCHE Outline
- Branding SF Cmp Thin Italic
- ClanOT-CondThinIta
- ClanOT-CondThinItalic
- ClanPro-CondThinIta
- ClanPro-CondThinItalic
- DSert-Thin
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- FSP DEMO - Polate A1 Thin Italic
- FSP DEMO - Polate B2 Thin Italic
- FSP DEMO - Polate Soft A1 Thin Italic
- FSP DEMO - Polate Soft B2 Thin Italic
- Georama Condensed Thin Italic
- Heading Now W05 21 Thin Italic
- Heading Now W05 31 Thin Italic
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- HeadingNow Trial 31 Thin Italic
- MaxwellSlab-UltraLightItalicSC
- MaxwellSmCaps-UltraLightItalic
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- Panorama Condensed UltraLight Italic
- PanoramaCond-UltraLightItalic
- PanoramaCondensed-UltLtIta
- Polate B2 Thin Italic
- Polate Soft A1 Thin Italic
- Polate Soft B2 Thin Italic
- Raven Hell Thin Round
- Theinhardt Comp Trial Hair Ita
- Workhorse Gothic 1 Test Condensed Thin Oblique
- Workhorse Gothic 2 Test Condensed Thin Oblique
- Workhorse Gothic 2 Test Condensed Thin Reverse
- Yuni Grotesque TRY Extralight Italic
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.