FSP DEMO - Plktt Srl Lght Regular
Similar fonts
- CF Compacta
- CimoDark-Compressed
- CompactaICG-Light
- CompactaSB-Light
- CompactaSBOP-Light
- CompactaSH-Light
- CompactaSHOP-Light
- Compilation Grotesk 1000
- Compilation Grotesk 1000 Unlicensed Trial 1000
- Compilation Grotesk 1050
- Compilation Grotesk 1100
- Compressed Pro Light
- Compressed-Light-Regular
- Corporate
- Extenda-20Micro
- FSP DEMO - Plktt Srl Lght Regular
- Heading Deva Compressed Trial 17 Extrabold
- Modern32-Serial-Light-Regular
- Plakette Serial Light
- PlaketteSerial-Light-Regular
- Swissposters ExtraCond Bold
- Swissposters ExtraCond ExtBd
- Swissposters ExtraCond SemBd
- SwisspoTrial ExtraCond Bold
- SwisspoTrial ExtraCond ExtBd
- SwisspoTrial ExtraCond SemBd
- Swisspstrs Trial ExtraCond Bold
- Swisspstrs Trial XCn SmBd
- Swisspstrs Trial XCn XBd
- Thryve
- TT Blscrns Pr Trl Cnd Bd
- TT Bluescreens Pro Condensed Bold
- TT Bluescreens Trl Cnd Bd
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.