Forma DJR Micro Nar Ex Lt It
Similar fonts
- AirCondensed-Thin
- Aktiv Grotesk Cd Thin Italic
- Aktiv Grotesk Cd Trial Thin Italic
- Alaska ExtraCondensed Thin Contrast
- Brauer Trial TT Thin Italic
- Conto Narrow Thin Italic
- EtruscoNowCondTrial Thin Italic
- FaktSmConPro-ThinItalic
- Forma DJR Dsp Nar Ex Lt It
- Forma DJR Txt Nar Ex Lt It
- FS Industrie Nw Thin Italic
- Geogrotesque Cond TRIAL UltLt Italic
- GreatEscapeNarrowEl-Italic
- GT America Cn U Lt It
- GT America Trial Cn U Lt It
- GTAmericaTrialConULight
- GuardianSansCond-Thin
- Hype 1200 XLight It
- Inconsolata Condensed ExtraLight
- Italian Plate No2 Thin
- Margin MVB Extra Light
- NaN Rage Soft X-Condensed-TRIAL ExtraLight
- National 2 Narrow ExLt Italic
- Pathway Extreme 72pt SemiCondensed Thin Italic
- PC Navita Thin-Oblique
- PreloCondensed-ExLtItalic
- Proxima Nova Cond Thin
- Rotrude-LightItalic
- RotrudeOutline-LightItalic
- Sisco-Thin
- Squalo UltraLight Italic
- TTTeds-ExtraLightItalic
- Typograf Condensed_Trial ExtraLight
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.