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Similar fonts
- AttractiveExtraCond Italic
- BillheadLHF-NineteenHundred
- BoomerSerifExtraCond-Book
- Bourgeois-MedCond
- Branding SF Cmp Medium It
- Branding SF Cmp Medium Italic
- BuckwheatTC-Painted
- Countach Light Regular
- DOT Spektra Tekst TRIAL Thin
- Filming Regular
- Georama Condensed Regular
- Gildabeth Semi Bold
- Gineso Cond Regular
- GT Standard Mono Trial Cn Smbd Obl
- Heading Now Trial 54 Regular
- IT Kroxen Regular
- Kurdis Condensed
- LDDewave-Type2
- LDDewave-Type5
- LHF Billhead 1900
- Manual-CompressedUltraLight
- Masifa Rd Extra Cn Regular
- MistageCaps-Stamp
- Pilat Condensed Test
- POPSANS Thin Italic
- ProgramNarOT-RegularItalic
- Roadgeek 2005 Series 1W
- Sharp Grotesk Medium Italic 12
- Sharp Grotesk Medium Italic 12 Regular
- SharpGrotesk TRIAL MediumItl 13
- SharpGrotesk-MediumItalic13
- Snickers Sans Text Regular
- Sofia Sans Extra Condensed Regular
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.