JD Sans Pro Next Cond
Similar fonts
- ABC ROM Compressed Trial Regular Italic
- ABC ROM Compressed Unlicensed Trial Regular Italic
- Astoria Sans Light Condensed
- Belarius Poster Narrow Lt Oblique
- Belarius var Poster Narrow Light Oblique
- Cervino Medium Neue Italic
- CervoNeue-ExtraLightNeueItalic
- ChollaSansThin
- Corina-ExtracondensedItalic
- Corpa Gothic Pro Italic
- DavishNormalItalic-Regular
- Directors Gothic 220 Regular Oblique
- DirectorsGothic220-MdOb
- DirectorsGothic250-LtOb
- Eureka Sans Offc Pro Cond Light
- FOTCorina-ExtracondensedItalic
- FSP DEMO - Crv N xLght N tlc Regular
- FSP DEMO - Dexa Pro Cn Light Regular
- GT America Trial Compressed Light Italic
- GT Flexa Beta v6 Light Compressed
- GT Flexa Cm Lt
- GT Flexa Cm Lt It
- GT Flexa Compressed Light
- InspireTWDCCond-Light
- Klik Light Condensed Italic
- Kranto Cond Light Normal Italic
- Novel Sans Ar XCmp Light
- Novel Sans Cy XCmp Light
- Novel Sans He XCmp Light
- RingsideCompressed-LightItalic
- ROM Condensed Light
- Secession Book
- WienBookC
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.