PrensaDisplay-CompressedSBIt
Similar fonts
- bb-book-B-trial regular
- Bring Happiness
- Broondy Bold
- Cambon Condensed Test Bold
- Candywell Original
- CS Strive Mono Regular
- Fighting Friends
- GimletDisplayCond Medium Italic
- GimletDisplayCond Medium Regular
- GimletDisplayCond Medium Regular Testing
- Indiana Jonas
- Intro Head H H1 Base
- JannonTextMed-BoldItalic
- JannonTextMedOSF-BoldItalic
- JannonTextOSF-BoldItalic
- Looks Mighty
- Mauritius-Cond
- MD Polychrome Trial Kilo
- Mediaeval-BoldItalic
- Messer Bold Italic
- OliveVine-Regular
- PP Right Serif Mono Bold
- PrensaDisplay-CompressedSBIt
- republic
- Roboto Serif 120pt UltraCondensed SemiBold
- Scotch Text Compressed Medium
- Serrif Compressed-TRIAL Bold
- Serrif Compressed-TRIAL SemiBold Italic
- Serrif Mono Compressed-TRIAL Bold
- Serrif Mono Compressed-TRIAL SemiBold
- Ten Twenty Semi Bold Italic
- Trial-Mapamond Semibold
- VelinoCompressedText-Bold
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.