Eastman Compressed DmBd
Similar fonts
- Aka-AcidGR-FatCondensed
- ALS Beast Angler Regular
- AptlyCollege
- ares Regular
- Balgin Black Condensed
- Balgin Bold Condensed
- BC Ludva TEST Bold BackSlant
- CCWhatchamacallit Condensed Regular
- CodecPro Compressed Trial Extrabold
- CSEdisonDrawn-Italic
- Eastman Cmp Alt Trial DmBold
- Elmira Sans v04 TRIAL Bold Compressed TRIAL
- FSP DEMO - NvcntsnscndnsdLght Bold
- GT Standard Mono Trial Cn Bd
- Heading Pro Trial Bold
- Heading Pro Ultracomp ExtBd Italic
- Heading Pro Ultracomp Heavy Italic
- Heading Pro Ultracompressed Heavy Italic
- Heading Pro Ultracompressed Trial Heavy Italic
- HeadingNow Trial 495 Cond Medium
- HeadingPro-Bold
- HeadingProUltracomp ExtBd Ita
- HeadingProUltracomp Heavy Ita
- Inconsolata ExtraCondensed ExtraBold
- Interstate-BoldCompressed
- Kenyan Coffee Bold Italic
- LDDewave-Type3
- LDDewave-Type9
- LeBlanc Bold Italic
- Renew 495 Cond Medium
- Ronald
- Sofia Sans Extra Condensed SemiBold
- VarvaraStar-Medium
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.