VarialTwoRounded-Ultra Test
Similar fonts
- Aachen Pro Bold
- AachenEU Bold
- Aargau-Bold
- ABODIN Regular
- AkzidenzGroteskBE-XBd
- AkzidenzGroteskBQ-XBold
- AkzidenzGroteskPro-XBd
- AlpagaBeTri-CondExtBlk
- Antarctica-ExtraCondExtBlk
- Antarctican Headline Ultrabold
- AntarcticanHeadline-Ultrablack
- AntaTrial Extra Condensed Black
- AntaTrial ExtraCond ExtBlk
- Anzil Black
- Baikal Extra Condensed Black
- Baikal ExtraCond ExtBlk
- Baikal Trial ExtraCond Black
- Baikal Trial ExtraCond ExtBlk
- CaslonDoricCondensedTrial-Fat
- Champion-HTF-Middleweight
- ChampionGothic-Middleweight
- Crystal Trial ExtraCond Black
- Crystal Trial ExtraCond ExtBlk
- Druk Text LCG Super
- DrukText-Super
- DrukTextCyr-Super
- Gratika
- MonoTrial Condensed Extra Black
- NeueAachenStd-Bold
- Nissan Pro ExtraBold
- Rochy
- TEKROT Slab
- TrooperGrotesque-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.