Fort XCond TRIAL Medium Italic
- NameFort XCond TRIAL Medium Italic
- Family
FortXCondTRIAL
- Style
MediumItalic
- Added
03 Mar 2026
Similar fonts
- BebasNeuePro-SemiExpRegular
- BlockGothicMedCond
- CobenCondensedMedium-Italic
- Colby Condensed Italic
- Colby Condensed Regular Italic
- DIN Pro Condensed Medium Italic
- FF DIN Pro Cond Medium Italic Condensed
- Fort XCond TRIAL Medium Italic
- Fort XCond TT Medium It
- FSP DEMO - Prxm Nv xCn Mdm Regular
- Geogrotesque Comp TRIAL Md Italic
- GeogrotSharp TRIAL Comp Md Italic
- GoodOT-CondBook
- GoodPro-CondBook
- GT America Compressed Regular Italic
- GTAmericaTrialCompRegular-Italic
- JD Sans Compressed Regular
- KavaPro
- Magmatic Condensed Light Trial
- Maxwell Sans W01 DemiBold It
- Netflix Sans UCd Italic
- Neusa-DemiBold
- November Compressed LCG Medium Italic
- NuberNext Bold Comp Ita
- Oldschool Gtsk Cond Trial
- OldschoolGroteskCondTrial-Regular
- Peridot PE Variable Condensed Medium
- PP Pangram Sans Rounded Compressed Semibold Italic
- RB Rational Neue Condensed Test Regular
- Rude Slab ExtraCondensed Book Italic
- Spotify Mix Narrow Greek Medium Italic
- Stapel Condensed Italic
- SucesionSlab-Regular
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.