TT Tunnels Trial Light
Similar fonts
- Big Shoulders 60pt ExtraLight
- Big Shoulders Text ExtraLight
- Big Shoulders Text ExtraLight
- Big-LightItalic
- BrikoRough-Italic
- Burpal-ExtracondensedBold
- Domi Rainer Extra Light Italic
- EK Modena TRIAL Thin Compressed
- Fixture Ultra Italic ExtraLight
- FOTBurpal-ExtracondensedBold
- FranklinITC-ThinCmp
- FSP DEMO - Molde Compressed- Italic
- Graphik XXXCond Light Italic
- Graphik XXXCond Web Light Italic
- GraphikXXXCondensed-LightIt
- GraphikXXXCondensedTrial-LightIt
- GraphikXXXCondTrial-LightItalic
- Italian Plate No2 Extracondensed Thin Italic
- Julienne-SlimPlainItalic
- JuliennePiu-LightItalic
- Lateral Trial Ultra Compressed Light Italic
- Lateral UltraCompressed Light Italic
- Margit Light Italic
- Molde Compressed-Regular Italic
- Quebra ExtraCondensed Light Italic
- Resolve Sans W05 Regular Cm Ita
- ResolveSans-CmItalic
- Spezia Compressed Book Ita
- Spezia Compressed TEST FONT Book Italic
- SteelfishHammer-BookItalic
- TT Tunnels Trial Light
- TTTunnels-Light
- VarialTwoRounded-ExtLtIta Test
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.