InputSansCompressed Black
Similar fonts
- Aargau-Regular
- AG Buch Rounded BQ Condensed Bold
- AGBookStd-BoldCnd
- American Grotesk Compressed Black
- Ancona-Cd-Heavy-Regular
- Arezzo-Rounded-Cd-Bold
- Benton Sans Compressed Black Italic
- BerlingskeSansXCn-XBd
- BilokosProExtraBoldItalic
- BureauGrotCond-Black
- CantigaCnd-ExtraBoldItalic
- ClioCBlack-Black
- Crossfit-Bold
- FF Dax Pro Cond Black Italic
- First Aid Kit A
- FN Mamun Mahfuz Unicode Bold
- FSP DEMO - Mld Cndnsd-Hvy Rvrs Regular
- Gebig Lohed
- Gronau Neue
- InputMonoCompressed BlackIta
- Kern Compressed Trial Black Italic
- KurryPro-HeavyItalic
- Latino Gothic Cmp Black It
- LeituraHeadline-Serif Italic
- LFTEticaSheriffCmp-XBold
- Molde Condensed-Heavy Reverse
- NaN Metrify B TRIAL Condensed ExtraBold
- NaN Rage Sans X-Condensed-TRIAL ExtraBold
- National2Condensed-ExtraBold
- National2Condensed-ExtraBoldItalic
- SpiegelSansCd Trial ExtraBold
- Test National 2 Cmp Blk It
- Truculenta SemiExpanded Black
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.