AncoaSlanted-Fat
Similar fonts
- Adena-Regular
- AncoaSlanted-FatCuts
- Antarctica Cond ExtBd Contrast
- AntarcticaBeta-XCnBlkContrast
- AntaTrial Cond Black Contrast
- Antica Black
- Artigua-Black
- Artigua-ExtraBold
- Artigua-ExtraBoldItalic
- Attorney BlackItalic
- CollegiCertificateFixed-Normal
- Cowhand W00 Regular
- Dashiell Bright Black
- Dashiell Bright TEST Black
- Deia Heavy
- Greetings Christmas Solid
- HubbaShadow-SemiBoldOblique
- Piazzolla 28pt Black
- Roboto Serif 28pt UltraCondensed Black Italic
- Roboto Serif 28pt UltraCondensed ExtraBold
- Roboto Serif 36pt UltraCondensed Black
- Roboto Serif 36pt UltraCondensed Black Italic
- Roboto Serif 72pt UltraCondensed Black
- Roboto Serif 72pt UltraCondensed Black Italic
- Roboto Serif UltraCondensed Black
- RollestonTitle-ExtraBold
- RollestonTitle-ExtraBoldItalic
- Sans Flux Trial 200 Black
- Sonor-CondensedBlackContrast
- SUPER SEVEN Shadowed Demo
- Supersoft Bold
- Trial Deia Heavy
- Trial-Deia ExtraBold
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.