ROM Compressed Unlicensed Trial Heavy
Similar fonts
- ABC ROM Compressed Black
- ABC ROM Compressed Black Unlicensed Trial Black
- ABC ROM Compressed Bold
- ABC ROM Compressed Heavy
- ABC ROM Compressed Heavy Unlicensed Trial Heavy
- ABC ROM Compressed Trial Black
- ABC ROM Compressed Trial Bold
- ABC ROM Compressed Unlicensed Trial Black
- ABC ROM Compressed Unlicensed Trial Bold
- ABC ROM Compressed Unlicensed Trial Heavy
- Ac437 DG On-2y Bold
- Address Sans Pro Cd Semibold
- AddressSansPro-CdSemiBold
- Akzidenz-Grotesk Pro Bold CndUFC
- AkzidenzGroteskBE-BoldCn
- AkzidenzGroteskBQ-BdCnd
- AkzidenzGroteskCondBQBold
- AkzidenzGroteskPro-BoldCn
- AkzidenzGroteskStd-BoldCn
- BLUEFISH SCRATCHED Demo
- Bluefish Scratched Demo Regular
- Caslon Doric Cond Bold
- CaslonDoricCondensedTrial-Bold
- Girott Bold
- Girott Bold
- Job Clarendon Extra Condensed Bold
- Nissan Pro Bold Cnd
- OPTIAkrogroteskBold-Cond
- ROM Compressed Bold
- ROM Compressed Heavy
- ROM Compressed Unlicensed Trial Bold
- ROM Compressed Unlicensed Trial Heavy
- SF Willamette 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.