Graphik XXXXCond Web Reg Italic
- NameGraphik XXXXCond Web Reg Italic
- Family
GraphikXXXXCondWeb
- Style
RegularIta
- Added
03 Mar 2026
Similar fonts
- FSP DEMO - HrkdtlcLghtltrCnd Regular
- FSP DEMO - Margit Light Regular
- FSP DEMO - Srgl Dsply Lght Regular
- FSP DEMO - Vanguard CF Light Regular
- Galderglynn1884SqLt-Regular
- Graphik XXX Condensed Light
- Graphik XXXCond Light
- Graphik XXXCond Web Light Regular
- Graphik XXXX Condensed Regular Italic
- Graphik XXXXCond Regular Italic
- Graphik XXXXCond Web Reg Italic
- GraphikXXXCondensed-Light
- GraphikXXXCondensedTrial-Light
- GraphikXXXCondTrial-Light
- GraphikXXXXCondensed-It
- GraphikXXXXCondensed-RegIta
- GraphikXXXXCondensedTrial-RegularIt
- GraphikXXXXCondTrial-RegularItalic
- GretaSansComPro-ExLt
- GretaSansComStd-ExLt
- HAPPYCLOUD-Black
- Herokid Italic Light Ultra Condensed
- Hype 0200 SemiBold It
- Margit Light
- Roadhawk Light
- Seriguela Display W05 Light
- Vanguard CF Light
- Workhorse Gothic 2 Test 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.