WTF Forma Condensed Bold
Similar fonts
- Abridge Condensed
- Apotek ExtraCond ExtraLight
- Artico ExtraCond
- Bahnschrift SemiLight Condensed
- BankSansEF ML LigCom
- Brice-BlackCondensed
- BuriedBeforeBB
- ComedySansCondensed Bold
- Core Sans D 47 Cn Medium W01 Rg
- CoreSansD47CnMedium
- CoreSansDS47CnMedium
- CSEdisonDrawn-Italic
- Fette-Engschrift-Regular
- FwTRIAL Neue DIN Cond SemiBold
- Hype 0700 Black It
- Inconsolata ExtraCondensed ExtraBold
- LeBlanc Bold Italic
- Neutronic Condensed Semibold
- PP Pangram Sans Compressed Semibold
- PP Pangram Sans Rounded Compressed Semibold
- RustonBasic-BoldCondensed
- Sofia Sans Extra Condensed SemiBold
- Spaceland-EightOblique
- Spaceland-NineOblique
- Spotify Mix Narrow Bold
- StaffXXXCondensed-SemiBoldItalic
- TT Octosquares Trl Cmd Rg
- Uniform Extra Condensed Medium
- Uniform Rounded Extra Condensed Medium Regular
- UniformExtraCondensed-Medium
- XXII Neue Norm RndCnd Bold
- YFF RARE TRIAL Ecto Bold
- YFF Zusker PERSONAL USE XCn Sm
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.