Magnesit Stencil SuperSoft
Similar fonts
- Biscottini Trial Extrabold
- Bitcount Grid Single Bold
- Bitcount Grid Single Ink Bold
- Bitcount Prop Single Bold
- Bitcount Prop Single Ink Bold
- Bitcount Single Bold
- Bitcount Single Ink Bold
- Bitcount Single Roman Bold
- MACHINE
- Ohno Fatface 48 Pt Narrow
- Ohno Fatface 60 Pt
- Ohno Fatface 60 Pt Compressed
- Ohno Fatface 60 Pt Condensed
- Ohno Fatface 60 Pt Narrow
- Ohno Fatface 60 Pt Squished
- Ohno Fatface 72 Pt
- Ohno Fatface 72 Pt Compressed
- Ohno Fatface 72 Pt Condensed
- Ohno Fatface 72 Pt Narrow
- Ohno Fatface 72 Pt Squished
- Ohno Fatface Demo 48 Pt Condensed
- Ohno Fatface Demo 48 Pt Narrow
- Ohno Fatface Demo 60 Pt
- Ohno Fatface Demo 60 Pt Compressed
- Ohno Fatface Demo 60 Pt Condensed
- Ohno Fatface Demo 60 Pt Narrow
- Ohno Fatface Demo 60 Pt Squished
- Ohno Fatface Demo 72 Pt Compressed
- Ohno Fatface Demo 72 Pt Condensed
- Ohno Fatface Demo 72 Pt Narrow
- Ohno Fatface Demo 72 Pt Squished
- StructiaPanel
- StructiaPanel-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.