Quadraat-BoldItalicCaps
Similar fonts
- AcademicaMediumPro-Italic
- Atomium-Dingbats
- Cabrito Flare W05 Ext ExBold It
- Cabrito Serif W05 Ext ExBold It
- Eloquence-MediumItalic
- Exact TEST Medium
- FS Kim Medium Italic
- FS Kim Text Regular
- FSKim-Regular
- Funky05-Bold
- Gothia Serif Text TRIAL Medium Italic
- Gridaxiacond
- Harriet v2 Text Medium Italic
- HayrahHandScript-Regular
- jAWAD SF-Abyan Light
- Klassik19-BoldItalic
- Matorral TEST Medium Italic
- MeretPro-SemiBold
- Monarcha-SemiBoldItalic
- NaN SuperX Serif Text-PREVIEW Semibold Italic
- Playfair 9pt SemiBold
- Publico Text Mono LCG Roman No 2
- Publico Text Mono LCG Roman No 2 Italic
- PublicoTextMono-Semibold
- PublicoTextMonoTrial-ItalicNo2
- Quadraat-BoldItalicSmallCaps
- Reckless SemiBold Italic
- Reckless TRIAL SemiBold Italic
- SkopexSerif-BoldCapsTF
- Timonium Medium Italic
- Timonium Medium Italic
- TimoniumMedium-Italic
- Unna Medium Italic
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.