Good SC Offc Pro Narr Bold
Similar fonts
- ABC Gravity Compressed Italic
- ABC Gravity Cyrillic Compressed Unlicensed Trial Compressed Italic
- ABC Gravity Cyrillic Unlicensed Trial X Compressed Italic
- ABC Gravity Unlicensed Trial Compressed Italic
- Arctic-Black
- Barbieri Regular
- BentonSansComp-BlackItalicSC
- BentonSansComp-BoldItalicSC
- Circus Poster Shadow
- FedraSansCondStd-BoldItalic
- FenomenSans-XCNSemiBold
- GoodHeadlinePro-CondBoldItalic
- Helsinki-Medium
- Malto Italic
- Marianina Wd FY Bold
- Mozilla Headline Condensed Bold
- Multiflex Compact Trial SmBold
- PasadenaSerial-BoldItalic
- Phill SemiCondensed Medium
- Rosso Bold Italic
- Routine Variable Bold Condensed
- Scotus Sans Compressed Bold
- Secuela Bold Italic
- Sharp Grotesk PE Trial SmBold Itl 15
- SharpGrotesk TRIAL SmBold 16
- Swissposters SemiCond Bold Ita
- SwisspoTrial SemiCond Bold Ita
- Transducer Condensed Bold Italic
- Trial Arlen Tight Regular
- Ubuntu Sans Condensed ExtraBold
- VC Nudge Trial Bold Italic
- VistaSansNarOT-Bold
- Yoshida Sans Medium Condensed
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.