SP HeliconML Inserat Italic
Similar fonts
- Abeline-CondensedBold
- Almoni Tzar DL Bold AAA Bold
- Bobaland
- Colossalis Medium
- Colossalis-Medium
- ColossalisMd PFL
- CommadorWideHeavyItalic
- Correct Trial X Condensed Black Italic
- Correct Trial X Condensed Extrabold Italic
- FSP DEMO - Densa Black Italic Regular
- HermesRough
- Marcinelle Clean-05
- National 2 Cmp Extrabold Italic
- National2Comp-ExtraboldItalicTest
- National2Compressed-ExtraBoldItalic
- National2Compressed-XBoldIt
- Pathway Extreme 120pt Condensed Bold
- Power Display Medium Condensed
- Rougho Regular
- Somar Sans ExtraBold Condensed
- Spezia Compressed Bold Ita
- Test National 2 Cmp XtraBd It
- Test National 2 Cp Xbold Italic
- Thinking About You
- Thorowgood Egyptian Medium Italic
- Tokyto Bold A
- Truculenta 60pt SemiExpanded Black
- Truculenta 72pt SemiExpanded Black
- Typograf ExtraCondensed ExtraBold Italic
- Typograf ExtraCondensed_Trial Black Italic
- Typograf ExtraCondensed_Trial ExtraBold Italic
- VC Henrietta Condensed Trial Black
- VC Henrietta Condensed Trial Bold
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.