STF JohnSansCond Heavy CE
Similar fonts
- AauxNextCond-BlackItalic
- ABC Favorit Condensed Trial Extrabold Italic
- ABC Favorit Condensed Unlicensed Trial Extrabold
- ArtegraSansCondensed-SemBdIta
- ArtegraSansCondensedAlt-SemBd
- ArtegraSansCondensedAlt-SmIt
- Belle Sans Ex Cond ExBd
- Boodle Bold
- Bunday Clean Bold Up Italic
- Core Sans D 77 Cn Black W01 It
- CoreSansD77CnBlack-Italic
- DraftNaturalHiResTwoF-Bold
- FindReplace-Black
- Forta
- FSP DEMO - Rdt Sns Bld Cndnsd Bold Italic
- FSP DEMO - rtgr Sns Cn lt SmBld Italic
- FSP DEMO - rtgr Sns Cn SmBld Regular
- Futura ND Condensed Bold SC OsF Oblique
- GagamondBold
- JohnSansCond Med Pro Bold
- Novel Sans Gr Cmp Bold
- OrevExtraboldOblicua
- PG Grotesque Variable
- Quebra Condensed DemiBold Italic
- Remora Corp W1 Demi
- Remora Sans W1 Demi
- Rules Trial Condensed ExtraBold
- SafetyText-DemiBold
- Salsbury
- Salsbury-Regular
- TabletGothicSemiCondensed-BoldOblique
- WH Hoxton Cond Web Bold
- ZT Talk Bold Semi Condensed
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.