ThePyteFoundry--Dosage TEST
Similar fonts
- Adensor
- Agharti Bold Condensed
- Agharti Demi Condensed
- BAYARD Regular
- ckTrial Winner Sans Soft UltraComp Medium
- CoFo Peshka 0 Bold
- CoFo Peshka 0 Trial 0 Bold
- DELIRIUM NCV
- Dynamo Light
- Dynamo Regular
- Exetegue Bold
- F37Judge-MediumCompressed
- FS Marlborough Regular
- FTYDELIRIUMNCV
- GrandCanyonRRBold
- Morein Regular
- MPIGothicExtraCondensed
- Normiyola Regular
- Reel Tall Regular
- SFT Sushka Flat Light
- SFT Sushka Light
- SFT Sushka TRIAL Flat Light
- SFT Sushka TRIAL Flat Regular
- SFT Sushka TRIAL Light
- SFT Sushka TRIAL Regular
- Sidger Nakson Demo
- Sourced Regular
- ThePyteFoundry--Dosage
- Theta 1
- WheatAged-Regular
- WheatRough-Regular
- Zokak Bold
- Zokak ExtraBold
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.