MISENA Smooth
Similar fonts
- AA Actual Mono Heavy
- AirCompressed-HeavyOblique
- AkzidenzGroteskBQ-BdCndIt
- AkzidenzGroteskPro-BoldCnIt
- AkzidenzGroteskStd-BoldCnIt
- Asterah Quirkyn DEMO VERSION
- Body Grotesque Slim Trial Bold
- Bruta Pro Compressed Semi Bold
- BrutaGlbCompressed-SemiBold
- BubbleTalk-CondensedRegular
- Churchward Conserif Italic
- Crystal ExtraCond SemBd Ita
- Fira Sans Compressed Medium
- Fira Sans Extra Condensed Medium
- Francois One Regular
- Karnchang DEMO Condensed Bold Italic
- Karnchang DEMO Italic
- Karnchang DEMO SemiCondensed Thin Italic
- KurryPro-BoldItalic
- Libre Clarendon Condensed 96 Medium
- MetaCondBoldLF-Roman
- Mynor Medium Condensed
- Mystery-Day
- Nickel Gothic Variable Extra Condensed Oblique
- Novel Display XCnd XBold It
- Plantago Condensed Semibold Italic
- PP Right Grotesk Compact Bold
- Right Grotesk Small Compact Bold
- ROM Compressed Unlicensed Trial Heavy Italic
- Stinger Slim Trial Bold Italic
- UnitedItalic-HeavyCd
- UnitedSansSemiCond-Bold
- Wired Display TRIAL Bold Condensed Italic
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.