GT America Trial Compressed Thin
- NameGT America Trial Compressed Thin
- Family
GTAmericaTrial
- Style
CompressedThin
- Added
03 Mar 2026
Similar fonts
- A2RecordGothicXCond-Regular
- ABC Diatype Compressed Light Italic
- ABC Diatype Compressed Light Unlicensed Trial Light Italic
- ABC Diatype Mono Compressed Light Unlicensed Trial Light Italic
- ABC Diatype Mono Compressed Unlicensed Trial Light Italic
- ABC Diatype Semi Mono Compressed Trial Light Italic
- AkzidenzGroteskBQ-LigCnd
- Angela Trial Extra Bold Italic
- Antarctican Headline Light
- Aspire sans Thin Regular
- AvoryILatn-El
- Belion
- Chevy Sans Condensed Light
- F37 Judge Arabic Compressed Thin Italic
- F37 Judge Hebrew Trial Thin Compressed Italic
- F37 Judge Thai Trial Thin Compressed Italic
- Famico-ExtracondensedRegular
- FSP DEMO - Mld Cmprssd-Mdm Italic
- FSP DEMO - Mld Cmprssd-Mdm Rvrs Regular
- GeogrotSharp TRIAL Comp Lt
- GT America LC Compressed Thin
- GT America LCG Cm Th
- GT America LV Compressed Thin
- GT America Trial Cm Th
- GT America Trial Compressed Thin Regular
- Hype 0700 Italic
- Pfizer Diatype Compressed Light Italic
- RevlaSansText-Light
- Ristretto Slab Pro Light
- Solano Gothic Pro MVB
- TT Lakes Neue Compressed W03XLt
- TT Octosquares Trl Cmd Th
- UnitedSansCond-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.