Paddock UltraCondensed Test Light
Similar fonts
- BC Eric Machat Headline TEST Light Italic
- Big Shoulders 24pt ExtraLight
- Big Shoulders 60pt Light
- Big Shoulders Text Light
- Bronex Regular
- Bw Stretch Book
- CCPleasurePoint-Regular
- ClanPro-CompNewsItalic
- Def Sans Cond Regular
- DharmaGothicE-ExLight
- DharmaGothicRndE-ExLight
- EFCO Growers Condensed Light
- FSP DEMO - Hrkd tlc ltr Cndnsd Regular
- FSP DEMO - Prdt LT Cmp Lght Regular
- GolaryRed-LightCapsLf
- Heading Now 15 Medium Italic
- Mongoose-Light
- NaN Success Sans TRIAL Regular
- NorthBay Grotesk Regular
- Owners XXNarrow Medium It
- Paddock UltraCondensed Test Light
- Peridot PE Compressed Light
- PilatCompressed-Light
- Schmalhans OT W03 Regular
- Serengetti ITC
- Sharp Grotesk Medium Italic 10
- Sharp Grotesk PE Book 12
- Sharp Grotesk PE Trial Medium Itl 10
- SharpGrotesk MediumItl Unlicensed Trial 10
- SharpGrotesk SmBoldItl Unlicensed Trial 08
- SharpGroteskCnd-MediumItalic
- Swisspstrs Trial XCn SmBd It
- Trump Gothic East 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.