InputMono ExLight
Similar fonts
- AleHouse
- AmsiProNarw-Light
- AudibleSans-Lt
- Bajazzo W05 Narrow Extralight
- Config Light
- Datatype Condensed Black
- Datatype Condensed Regular
- Datatype ExtraExpanded Bold
- Datatype ExtraExpanded Light
- Datatype SemiExpanded Thin
- Elza-NarrowLight
- Google Sans Flex Rounded 9pt UltraCondensed ExtraLight
- Hoxton North Test Light
- Inria Sans Light
- Ioskeley Mono NL Light Semi-Condensed
- K2D ExtraLight
- Kohinoor Arabic Light
- Kohinoor Gurmukhi Light
- Maxisud Unlicensed Trial SemiLight
- Mic32NewRounded-LightItalic
- Moderat Trial Condensed Light Italic
- MollenCondensed-SemiLight
- MorebiRounded-Regular
- NNMedien-Italic
- RetinaNarrow-LightItalic
- SamsungOneLatin-400
- Spezia Narrow Regular Italic
- Stratum1-Light
- TT Interphases Pro Condensed Regular
- TT Lakes Neue Trl Cnd Lt It
- TTMarksRough-Medium
- TTOctosquaresCond-XLight
- Uniform Pro Condensed Light
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.