Gotkin-Regular
Similar fonts
- Altar-BoldSmallCaps
- AltarSmallCaps-Bold
- Alumni Sans Book W01 Regular
- Alumni Sans Medium Italic
- Alumni Sans SC Medium Italic
- AlumniSansBook
- AlumniSansBook-Italic
- Bookseller Cp Reduced Italic
- Cannibal
- Carnotaurus Three
- ClaytonThinBold
- FSP DEMO - ntr Hd B C H1 Bs Shd Regular
- FSP DEMO - ntr Hd B C H2 Bs Shd Regular
- FSP DEMO - ntr Hd B C H2 Bs Shd Regular
- Gotkin-Regular
- Greta Text Narrow GR Light Ita Min
- GretaTxtNarProLigItaMin
- Hatter Display Pro Dirt Two
- Intro Head B UC H1 Base Shade
- Intro Head B UC H2 Base Shade
- Lemands Book
- Lemands Regular
- Magr Light
- PunkMachina-Italic
- Rhinos rocks
- UT Matemija Oblique
- Valpo Condensed TEST FONT Regular Italic
- Valpo Condensed Trial Regular Italic
- Valpo TEST FONT Regular
- Valpo Trial Regular
- VersaConPro-LightItalic
- VersaConPro-NormalItalic
- ZP Correction 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.