AttractiveExtraCond W03 Medium
Similar fonts
- 1FTV Gasket-Regular
- Abridge Condensed
- adineuePROCond-Regular
- Agenda One Compressed Medium Italic
- Apotek ExtraCond ExtraLight
- Artico ExtraCond
- CalpsSlim-SemiLight
- ComedySansCondensed Medium
- CoreSansD47CnMedium
- DINPro-MediumCondensed
- FFDINProCond-MediumItalic
- FwTRIAL Neue DIN XCond Bold Retalic
- Gasket-Regular
- Inconsolata ExtraCondensed ExtraBold
- LT Amber Compressed Demi-bold
- Netflix Sans UCd Regular
- Neutronic Condensed Semibold
- OksanaSansCompressed-Bold
- Owners TRIAL XXNarrow Black Italic
- Owners XXNarrow Black Italic
- Pantograph Pro Compressed Regular
- Pantograph Trial Compressed Regular
- PP Pangram Sans Compressed Semibold
- PP Pangram Sans Rounded Compressed Semibold
- Ronald
- RustonBasic-BoldCondensed
- SakerSansBold
- Stadtmitte Bold
- TT Octosquares Trl Cmd Lt
- Uniform Extra Condensed Medium
- Uniform Rounded Extra Condensed Medium Regular
- UniformExtraCondensed-Medium
- VC Cardinal Condensed Trial Bold 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.