AttractiveCond W03 BlackItalic
Similar fonts
- AmsiProCond-UltraItalic
- Antic Test Condensed Bold
- Argentum Sans Cond Black Ita
- AttractiveCond HeavyItalic
- BrothersRegularAlternates
- Bw Modelica SS01 Black Ultra Condensed
- Bw Modelica SS02 DEMO Black Ultra Condensed
- CervoNeue-BlackNeueItalic
- CF Notche Bold
- ChaneyThinBold
- Cocon Condensed Bold
- FSP DEMO - Darwin Pro Bold Regular
- FSP DEMO - TTCmmnsPrCndxtrBlck Regular
- Gosh Trial Black Condensed Italic
- GothamXNarrow-Black
- Gregory Grotesk Condensed DEMO xBold
- HD Colton W05 Comp Extrabold It
- nd Amarta Text Test Bold
- New Frank TRIAL Bold
- Noway Round Bold
- OldschoolGroteskCondTrial-ExBold
- Omnes Narrow Bold Italic
- Plau Test Black
- QTypePro-CompMedium
- Ramsey W05 Medium Condensed It
- RopaSansPro-ExtraBoldItalic
- Sofia Sans Cond ExtraBlack Italic
- Spicy Rice Pro
- Spicy Rice Regular
- STH Brath Fat
- TT Commons Pro Trl Cnd Blc It
- TTOctas-BlackItalic
- Uniform Rounded Condensed Black Regular
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.