ParmigianoHeadlinePro-RegIta
Similar fonts
- ABC Arizona Serif Condensed Variable
- Agatha Trial XCn Md Contrast
- Alodie-Regular
- Arabico Personal Use
- Atacama Trial XCn Sm Contrast I
- AustinNewsHeadlineCondTrial-Roman
- AustinTrial-Italic
- BodoniMO Condensed Pro
- Evenings Regular
- FH Ronaldson Display Test Medium Italic
- FlyingDahlia-CondensedBold
- FSP DEMO - Blckr Pr Cnd Ds Rg Regular
- FSP DEMO - Kschlfrktr Vrzrt Regular
- FSP DEMO - Span Semibold Cond Regular
- Gretha Serif Med Cond Ita
- Gretha Serif Medium Condensed
- Ivar Display Condensed TRIAL Medium
- IvyOra Display Medium Italic
- Jasper BRK
- Lettertype Italic
- LNTH-Oranienbaum
- Maylee
- MD Polychrome Test Mega
- MD Polychrome Trial Mega
- MenoBannerCondensed SemiBold Italic
- Miraikato Hand Thin
- Scilla Narrow Regular Italic
- ScillaNarrowItalic
- Sunlight Trial XCn Md Contrast
- Sunlight Trial XCn Md Contrast
- SunlightTrial-XCnContrast
- Synthetic
- WCWunderbachWimpern
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.