Sharp-Inline
Similar fonts
- 1FTV VIP Delicate Elegance Reg
- BD Gitalona Contras Thin
- Cabrito Didone Ext Thin
- Campile Thin
- Delicate Elegance Italic
- FSP DEMO - Leifa Thin Regular
- FSP DEMO - Restora Neue Thin Italic
- FZDongGangSongS ExtraLight
- GC Clova Demo Thin
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- Italian Plate No4 Expanded Thin Italic
- Leifa Test Thin
- Leifa Test Thin Italic
- Leifa Thin
- Mennour Thin
- NaN SuperX Serif Headline AR VF-TRIAL Headline Thin
- NaN SuperX Serif Headline AR-PREVIEW Thin
- NaN SuperX Serif Headline AR-TRIAL Thin
- NaN SuperX Serif Headline VF-TRIAL Headline Thin
- NaN SuperX Serif Headline-PREVIEW Thin
- NaN SuperX Serif Headline-TRIAL Thin
- Prumo Text Thin Italic
- Sans Flux Trial 030 ExtraLight
- Sans Flux Trial 031 ExtLt Ita
- Sans Flux Trial 041 Light Ita
- TT Bells Trial Thin
- TT Bells Trial Thin Italic
- TT Bells Trial Thin Italic
- TT Severs Thin Italic
- TT Severs Trial Thin Italic
- TTBells-Thin
- TTBells-ThinItalic
- VVDS_Big Tickle Hatched Medium
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.