Chartwell Radar
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- CCUltimatumMass Light
- Chartwell Areas
- Chartwell Radar
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- FSP DEMO - Allotrope Compressed Italic
- FSP DEMO - Polate B2 Regular Italic
- FSP DEMO - Polate Soft Regular Italic
- Georama ExtraCondensed Regular
- Gildabeth Semi Bold
- GiorgioSansLCG-Medium
- GoodHeadlinePro-XCondNews
- GT Standard L Condensed SemiBold Oblique
- GT Standard Mono Trial Cn Md
- GT Standard Trial Cn Md M Obl
- GT Standard Trial L Cn Smbd Obl
- GT Standard Trial M Cn Smbd Obl
- HeadingNow 25 XComp Medium Ita
- HeadingNow Trial 26 Bold Italic
- LA28 Sans Condensed Medium
- Magnet Headline Backslanted
- Mars Condensed Italic
- MasifaUltraCn-Regular
- MistageCaps-Stamp
- Riga-CondensedBold
- Sharp Grotesk PE Medium 13
- Sharp Grotesk PE Trial SmBold Itl 10
- SharpGrotesk TRIAL SmBoldItl 11
- SharpGrotesk-Medium13
- SharpGrotesk-SemiBoldItalic10
- SharpGrotesk-SemiBoldItalic11
- SharpGroteskCnd-SemBdIta
- TT Bluescreens Medium It
- TTCottons-Medium
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.