Linear Sys Nr Heavy
Similar fonts
- Brice-BoldExpanded
- ClarendonGraphicBlack-Italic
- DarbySans-BlackItalic
- DarbySansTrial-BlackItalic
- DezNowSans-Heavy
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- Enotria Expanded Extrabold Italic
- Enotria UltraExpand Xbold
- FSP DEMO - AppetitePro Heavy Heavy Italic
- FSP DEMO - MldSmxpndd-BlckRvrs Regular
- FSP DEMO - Polyphonic Black Regular
- FSP DEMO - Vast XXXL Extra Bold Regular
- GT America Trial Exp Bl It
- GT America Trial Expanded Black
- GT Standard S Extended Black
- HelvDiag
- Lang-ExtraBold
- LT Streak Extra Bold
- NaN Rage Beau Standard-TRIAL ExtraBold
- Nufal-Slant
- Pennypacker Black Italic
- Pennypacker Condensed Black Italic
- Polyphonic-WideBoldItalic
- RochesterSerial-Heavy-Italic
- Rude SemiWide Black Italic
- Rude Slab ExtraWide ExtraBold Italic
- Rude Slab SemiCondensed ExtraBold
- Stapel Expanded Bold
- Theinhardt Ext Trial Black Ita
- Theinhardt SmExt Trial Black
- TheinhardtExt-BlackIt
- UntitledWoodTypeItalic
- Whyte Trial Super
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.