VinilaCondensed-ExtraBold
Similar fonts
- ABC Ginto Condensed Trial Ultra
- AtleticoBold
- Bw Modelica SS01 Black Ultra Condensed
- Bw Modelica SS02 DEMO Black Ultra Condensed
- Bw Modelica SS02 DEMO Black Ultra Condensed Italic
- Corbert Test Black Compact Italic
- Darwin Pro Rd Black It
- Demo Bold
- FoundersGroteskCondensed-Bold
- FSP DEMO - Artegra Sans Cn Bold
- FSP DEMO - RcGrtskCndnsdxtrBld Regular
- Gampange Black Italic
- Gampange Extra Bold Italic
- InterstateT-Black
- Marine-Black-Italic
- NeuronAngled-Heavy
- NormativePro-BlackItalic
- Norpeth ExtraBold
- Omnes Narrow Black Italic
- PlanetGreen-0600
- Republic-PosterItalic
- Resolve Sans Extrabold Nrw
- RJ Afilador Torn Bold
- Salvo Serif Condensed Black Italic Trial
- SalvoSerif-CondensedBlackItalic
- SancoaleSlSf-ConBla
- Section-BlackCapsItalic
- Stapel Narrow Bold Italic
- Test Founders Grotesk Cnd Bd
- Vinila Condensed ExtraBold Oblique
- VinilaCondensed-BlackObl
- VistaSansAltBlack
- Zwo SC Offc Extrabold
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.