RivinaTC-DipPen
Similar fonts
- Agatha Trial XCn SmBd Contrast
- Agatha XCn SmBd Contrast It
- Austin-MediumItalic
- BennetBannerCond SemiBold Italic
- Chassi Test L Medium Italic
- Flecha Test L Medium Italic
- FZFengRuSongTiS DemiBold
- Grafter
- Gretha Serif SemBd Cond Ita
- GT Alpina Fine Beta v6 Regular Cond
- GT Alpina Fine Cn Rg
- GT Alpina Fine Condensed Regular
- KleftisErotas
- Luke Thick100
- Miller Banner Condensed Semi Bold Italic
- Mistuki 1 PERSONAL USE
- MORVA Italic
- Parmigiano Headline Pro Medium Italic
- Rafgins Regular
- SchnyderSCond-Bold
- SchnyderSWeb-BoldCondensed
- Scholar Regular
- Spezia Serif Condensed TEST FONT Medium A
- Spezia Serif Condensed Trial Medium A
- Spezia Serif Narrow A Trial Medium
- Spezia Serif Narrow Medium A
- Spezia Serif Narrow Medium A
- Spezia Serif Narrow Trial Medium A
- Spezia Serif Trial Narrow Medium A
- Sunlight Cn SmBd Contrast It
- Sunlight Trial XCn Md Contrast
- Sunlight Trial XCn Sm Contrast
- 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.