Good Mobi Pro Cond Bold
Similar fonts
- Antarctican Headline Semibold
- Anugrom Regular
- AvoryILatn-Sb
- BrownProExtraBoldCond
- Chevy Sans Condensed Bold
- CoreMellowCondensed-Bold
- Costco Sans XCondensed Large App Semibold
- Costco Sans XCondensed Large App Semibold Italic
- Costco Sans XCondensed Large Semibold Italic
- DraftNaturalHiResH-Black
- DynaGroteskDXC-BoldItalic
- Fishmonger TRIAL Extra Condensed Regular
- GeogrotesqueComp-Bold
- GrotzecHeadCondensed-DemiBold
- HFF Pure Vain
- Hype 0800 Black It
- JoyForFun-Normal
- Kava Offc Pro Bold Italic
- KingsbridgeCdRg-BoldItalic
- Lindau-Bold
- Margit Bold Italic
- Mona Sans Condensed Bold
- NaN Metrify A TRIAL Compressed ExtraBold Italic
- NaN Metrify C TRIAL Compressed ExtraBold Italic
- NaN Metrify C X-Condensed Bold
- Naratif Condensed ExtBd Ita
- Resolve Sans W05 Xbold Cn Ita
- Saira ExtraCondensed SemiBold
- tt-backwards-script-regular Bd
- Urbaniva Regular
- Violet
- ZhengQingKeHuangYouTi-Regular
- ZTFloogn-SemiBold
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.