InputMonoCondensed LightIta
Similar fonts
- Booster Sans Narrow Regular Italic
- Datatype Condensed Black
- Datatype Condensed Regular
- Datatype Expanded Bold
- Datatype ExtraCondensed Light
- Datatype ExtraExpanded Bold
- Datatype ExtraExpanded Light
- Datatype SemiExpanded Regular
- Datatype SemiExpanded Thin
- Enterprise Sans Cond
- Google Sans Flex Rounded 36pt ExtraCondensed Light
- Google Sans Flex Rounded 72pt ExtraCondensed Light
- GothamXNarrow-Book
- GothamXNarrow-BookItalic
- GothamXNarrSSm-BookItalic
- GT Standard L Narrow Light Oblique
- GT Standard Trial L Nr Lt Obl
- GT Standard Trial L Nr Rg Obl
- GT Standard Trial M Nr Lt
- GT Standard Trial M Nr Lt Obl
- InfoCorrPro
- Ioskeley Mono NL Light Semi-Condensed
- Italian Plate No1 Light
- Italian Plate No7 Light
- JetBrains Mono NL Light
- JetBrains Mono Semi Light
- Netflix Sans Cd Light
- Sofia Sans Condensed Italic
- Tourney Condensed Regular
- TT Polls Light
- TTOctosquaresCond-XLight
- Uniform Rounded Condensed Regular
- Vitalislab
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.