InputSansCompressed ThinIta
- NameInputSansCompressed ThinIta
- Family
InputSansCompressed
- Style
ThinItalic
- Added
03 Mar 2026
Similar fonts
- Anek Kannada SemiCondensed ExtraLight
- AttractiveExtraCond ExtraLightItalic
- Barlow Condensed ExtraLight
- Calps Slim ExtraLight Italic
- Elza-CondensedExtralight
- ExpresswayCdXl-Italic
- FFKavaPro-ThinItalic
- Galeana Compressed Regular It
- Geogrotesque Cond TRIAL UltLt
- Gimbal Grotesque Compressed Light
- GothamCondSSm-XLightItalic
- InputSerifCondensed Thin
- InputSerifCondensed Thin Testing
- KavaPro-ThinIta
- Komplekt 030 Light Italic TRIAL
- LDDewave-Type10
- Ledare ExtraLight PERSONAL USE ONLY
- Loos Compressed Extra Light
- Mixtape ExtraCondensed_Trial ExtraLight Italic
- Netflix Sans App UCd Thin Italic
- Noto Sans Hebrew ExtraCondensed ExtraLight
- Noto Sans Lao Looped ExtraCondensed ExtraLight
- Peridot PE Condensed ExtraLight Italic
- PP Pangram Sans Rounded Compressed Light Reclined
- RetinaCondensed-ExtraLight
- RetinaCondensed-ExtraLightIt
- RetinaDisplayComp-XLight
- SansBeamHead-ExtLight
- Spezia Condensed Book Ita
- UnicodCond Condensed 4
- VerbCompressed-ExtraLight
- Vinila Variable Test Regular
- ZT Hoky Extra Light Condensed
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.