KrudaNarrowThinSlanted
Similar fonts
- BefterSans-Light
- Cabrito Serif W05 Cond Thin
- Chassi Test S ExtraLight Italic
- CS Aquary Halfpixel Top
- DearJoe4-SmoothPlaincaps
- Dezert Demo Outline Dash
- DGPro31
- Gadera-CondensedItalic
- Grunge Poster
- GT Zirkon Trial Th
- GTZirkon-Thin
- HSTalkToTheMoonBg-Regular
- Huai ExtraLight
- Huai Thai ExtraLight
- JohnSansCond White CE
- JohnSansCond White Pro
- LibrePro-Light
- MNKY Jane Condensed Extralight Italic
- MNKY Jane CY Condensed Extralight Italic
- MNKY Jane CY Condensed Extralight Italic
- Pranzo Cd Thin
- Rizoma M ExtraLight Italic
- Roboto Serif 20px Condensed ExtraLight
- Roboto Serif 20px Condensed ExtraLight Italic
- Roboto Serif 28pt UltraCondensed ExtraLight Italic
- Roboto Serif 36pt UltraCondensed ExtraLight
- Roboto Serif 36pt UltraCondensed ExtraLight Italic
- Tang-Thin
- Telidon Cd Italic
- Trivia Gothic S1 Semi-cond Thin
- Trivia Gothic S1 Semi-cond Thin Italic
- UrgeText-ExtraLightCondensed
- Varina Light
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.