WEA Sans XCondensed SemiBold
Similar fonts
- Apercu Condensed Trial Medium
- Bradia-Bold
- CentimaMono-BoldItalic
- Chevy Sans Condensed Demi Italic
- Ciutadella Slab Medium Regular
- DecimaRoundA-BoldOblique
- Dwight_TRIAL Narrow Medium
- EurekaSansOT-CondMedium
- F37 Judge Trial Medium Italic
- FabrikatMono-BlackItalic
- Fester Bold Italic
- Fidelity Slab Condensed SemiBold
- FSP DEMO - Balgin SmCondensed Bold
- FSP DEMO - Blgn SmBld SmCndnsd Regular
- FSP DEMO - Cmbrdg Rnd Lght Cnd Bold Italic
- FwTRIAL Pangea Text Cond SemiBold Italic
- Gineso Cond Bold Italic
- Google Sans Flex Rounded 9pt SuperCondensed Medium
- Interstate-BoldCondItalic
- Italian Plate No1 Mono Demibold
- Italian Plate No1 Mono Medium
- Mallory Cond Medium
- New Frank Condensed TRIAL Medium
- Open Sans Condensed Bold
- RadioCanada Condensed
- Roboto Condensed SemiBold
- TT Commons Pro Condensed Bold
- TTOctosquaresComp-DBoldIt
- TypestarOCRPro
- UnicodCond-CondMedIta
- VivalaSansRound-Medium
- VTF Justina HUM Semi Bold
- WhitneyCondensed-Semibold
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.