StickmoBolditalic
Similar fonts
- Archivo ExtraCondensed Regular
- BilokosProPunCompressedItalic
- Bricolage Grotesque 24pt Condensed Regular
- CairoliNow Condensed Medium Italic
- CalpsSansSlim-SemiLightItalic
- DSert-MediumItalic
- EppelirkBoldcond
- FF DIN Pro Cond Medium Italic Condensed
- FSP DEMO - Peridot LT Cond Regular
- FSP DEMO - Prxm Nv xCn Mdm Regular
- Graphik XCond Web Regular Italic
- GraphikXCondensedTrial-RegularItalic
- Intro Head B UC Base Shade
- LDDewave-Type5
- LHF Billhead 1900
- Masifa Rd Cn Regular
- MD System Condensed Regular
- MD System Condensed Trial Regular
- Netflix Sans UCd Italic
- Pathway Extreme 28pt Condensed Regular
- Pathway Extreme Condensed Light
- Peridot PE Variable Condensed Medium
- Pilat Condensed Test
- POPSANS Thin Italic
- PraterBlockTwo-Regular
- Promised Freedom
- Proxima Soft ExCn
- Snickers Sans Text Regular
- StickmoBolditalic
- Tropen-Deco
- Truculenta 28pt Medium
- Weinston Sans Typeface
- YWFTUltramagnetic-LtObl
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.