FSP DEMO - Proxima Nova ExCn Italic
Similar fonts
- ABC Favorit Compressed Trial Book Italic
- ABC Gravity Compressed Trial Regular Italic
- AttractiveCond Italic
- Bebas Neue Pro SemiExpanded Middle
- Belarius Poster Narrow Lt Oblique
- BentonSans ExtraCondensed Regular
- Branding SF Cnd Medium It
- Colby Narrow Extra Light
- Colby Narrow Extra Light
- Elza-CondensedOblique
- FSP DEMO - Rc Grtsk Cndnsd Regular
- FwTRIAL Pangea Text XCond Italic
- Geogrotesque Cond Regular Regular
- Gineso Cond Regular Italic
- Gineso Norm Book
- GraphikXCondensedTrial-RegularItalic
- HeronSansCond Light Italic
- KingsbridgeCdBk-Italic
- Klavika-LightCondensed
- Loos Compressed Light
- Mallory XCond Light
- MD System Condensed Regular
- MD System Condensed Trial Italic
- neue Unikat Round Trial Light Right
- Neusa Next Std Compact Italic
- Proxima Soft ExCn It
- PT Sans Pro Narrow Light
- Ronnia Cond Lt
- SansBeamHead-Italic
- Sofia Sans Condensed Italic
- Trial-Figura Regular Condensed
- TT Lakes Neue Compressed W03 It
- VC Nudge 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.