ckTrial Winner UltraComp Black
- NameckTrial Winner UltraComp Black
- Family
ckTrial_Winner
- Style
UltraCompBlack
- Added
04 Mar 2026
Similar fonts
- ckTrial Winner Sans UltraComp Extra Bold
- ckTrial Winner UltraComp Black
- ckTrial Winner UltraComp Extra Bold
- Data Trash
- Fit Devanagari Regular
- Fit Devanagari Variable Normal
- Fit Devanagari Variable Regular
- Fit Instances wdth106
- Fit Instances wdth107
- Fit Instances wdth108
- Fit Instances wdth109
- Fit Instances wdth110
- Fit Instances wdth111
- Fit Instances wdth112
- Fit Regular
- Fit Regular Regular Testing
- Fit Variable Normal
- Fit Variable Regular
- Flatbush Bold
- FSP DEMO - WnnrSnsltrCmpxBld Regular
- GC Magnu Bold
- Greater Regular
- Hunter Grunge
- Jetlab Variable Squeeze Heavy High Squeeze Heavy High
- Jetlab Variable Squeeze Heavy Low Squeeze Heavy Low
- Reel Tall Black
- Winner Sans UltraComp Black
- Winner Sans UltraComp Extra Bold
- Winner UltraComp Black
- Winner UltraComp Extra Bold
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.