AauxNextCond-ThinItalic
Similar fonts
- ABC Connect Mono Trial Hex Italic
- Alaska ExtraCondensed Thin Contrast
- AlasTrial ExtraCond Thin Ita
- AmTypewriterCdITCTT Light
- AudibleSansNarrow-ThIt
- Fishmonger TRIAL Condensed Thin Italic
- FSP DEMO - Mld SmCndnsd-ltrLght Italic
- FSP DEMO - Thin Cn Regular
- Gampange Thin Italic
- Geogrotesque Cond TRIAL UltLt Italic
- Geogrotesque Sharp Cn ULt It
- GeogrotesqueCond-LightItalic
- GeogrotSharp TRIAL Cond UltLt Italic
- GT America LCG Cn U Lt It
- GT America LV Condensed Ultra Light
- Hype 1200 XLight It
- Inconsolata Condensed ExtraLight
- Itaca Light Italic
- Italian Plate No1 Mono Ultralight
- Italian Plate No2 Mono Ultralight
- MindBlue Light Italic
- Molde SemiCondensed-UltraLight Italic
- Muriza Basic Thin Regular
- Muriza-Thin
- Proxima Nova Cond Thin
- Rector Display Hairline Italic
- Rotrude-LightItalic
- RotrudeOutline-LightItalic
- Tadao Regular 2
- Taffee W01 Thin Italic
- TodaySansNowCY-ExtraLightItalic
- Trial Totally ExtraLight
- TT Fors Trial Condensed Thin 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.