FSIndustrieNw-Black
Similar fonts
- A2Gothic-ExtraBold
- Aargau-Regular
- ABC Favorit Compressed Unlicensed Trial Ultra Italic
- ActionTextDarkTrial-ExtraboldItalic
- Aktiv Grotesk Cd Deva Black Italic
- Ardoise Std Tight Heavy
- BerlingskeSlabXCn-BlkItalic
- BilokosProExtraBoldItalic
- Bourgeois Rounded Heavy Condensed Italic
- FF Dax Pro Cond Black Italic
- FSP DEMO - RcGrtskCndnsdxtrBld Regular
- FSP DEMO - Stinger Slim Heavy Regular
- Heading Pro Medium Trial Black Italic
- Klose Condensed
- Lateral TRIAL Compressed Heavy Italic
- Miura Narrow Pro Heavy
- Morton Black
- MotterBregenz
- National Champion Cut
- National Champion Cut Bold
- National Champion In Bold
- National2Condensed-ExtraBold
- National2Condensed-ExtraBoldItalic
- Neutronic Narrow Extrabold
- Ramsey Test Medium
- RingsideCondensed-Ultra
- Sarre Testversion Black Italic
- Sheepman-BoldSlanted
- Sole SansExtraCondensedBlkIt
- Spezia Extra Condensed Trial Black Italic
- SubwaySansCond-Bold
- TTRoundsCondensed-Black
- Ultimate Marvel
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.