FenomenSans-CondBlack
Similar fonts
- AFCarplates-Bold
- Artico Condensed Heavy
- Base12SansOT-Bold
- BaseTwelveSans-BoldSC
- BaseTwelveSansB
- Blanket Black
- Boom Sans Narrow Bold
- Booster Sans Narrow Black Italic
- Booster Sans Trial Narrow Black Italic
- Bourgeois W00 Ult Condensed It
- Bourgeois-UltraCondIt
- Config Alt Bold
- CorsicaLX-BoldCond
- Duepuntozero Pro Trial Black
- Ewofi Bold
- FSP DEMO - Cygnet CF Heavy Italic
- FSP DEMO - Dpntzr Pr Blck Regular
- FSP DEMO - Dpntzr Pr Hvy Regular
- FSP DEMO - scl Blck Cndnsd Regular
- GC Gudlak Demo Extra Bold
- Halvar Engschrift Black Slanted
- Halvar Engschrift DEMO Black Slanted
- Hoss Round XNarrow Black
- Khorasan Bold
- Messina Sans Condensed TEST FONT Black Italic
- Messina Sans Condensed Trial Black Italic
- NIVEABrandType-ExConExBold
- PramenSansPremiumRB-Bold
- Radnika Black Condensed
- Register-DemiBold
- Screener SC Bold
- The Pretender Reg Sans Press
- Travelia Black Condensed
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.