MufferawXp-Regular
Similar fonts
- AIClassicIngeniousBold
- AIClassicIngenus
- Aviano Sans
- Aviano Sans Regular
- Aviano Sans Regular
- BeautyThalita-Italic
- BLACK NAPKINS Personal Use
- CCBrianBolland-Cyrillic
- CCBrianBollandCyrillic W00 Rg
- DuepuntozeroProIcon-Book
- EvanstonAlehouse-Light1858Oblique
- Fave Casual Condensed Light
- Fave Casual W05 Cond Light Pro
- FOTTwigero-BoldItalic
- FSP DEMO - Dpntzr Pr cn Bk Regular
- FSP DEMO - Nx Rst Hndmd xtndd Regular
- Generally Speaking
- Heiders-Handmade
- KG Beneath Your Beautiful Chunk
- LEDLIGHT
- Nexa Rust Handmade Extended
- Nexa Rust Handmade-Trial Extended
- NexaRustHandmade-Regular2
- No Mercy Font Personal Use Only
- No Mercy Personal Use Only
- PH-500Regular
- SF Florencesans SC Exp Bold Italic
- SF Florencesans SC Italic
- SF Florencesans SC Rev Bold Italic
- SF New Republic SC Italic
- SF Old Republic SC Italic
- TBJ margin condensed Thin
- Twigero-BoldItalic
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.