OPTITorry-Heavy
Similar fonts
- A20
- Amazonia ExtraCond ExtBd
- Amen Display Testfont Bold Italic
- Atacama Trial Cn XB Contrast It
- AtacamaBeTri-XCnXBdContrast
- AtacamaItalic-CnXBdContrast
- AtacamaItalic-XCnXBdContrast
- Austin SemiBold Italic
- AustinCyr-SemiboldItalic
- AustinNewsHeadCond-Semibold
- AustinTrial-SemiboldItalic
- Chapman Bold Condensed Italic
- Chapman Condensed Bold Italic
- ChronicleDispCond-Black
- Givry-Regular
- Gretha Serif Bold Cond Ita
- Harbell Personal Use Only
- IvyOra Display Bold Italic
- Nathan
- OPTITorry-Heavy
- Parmigiano Headline Pro Bold Italic
- PostoniStandard Bold
- Prague Regular
- Spezia Serif Narrow TEST FONT SemiBold A
- Spezia Serif Narrow Trial SemiBold A
- StilsonDisplay-BoldItalic
- Sunlight Trial Cn XB Contrast I
- Sunlight Trial XCn XB Contrast
- Sunlight XCn Bd Contrast
- Sunlight XCn XBd Contrast It
- ThamesRandom-Bold
- Tilmans Regular
- Werkstatt Engraved ITC
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.