Ubicada Pro Bold
Similar fonts
- Action Cond Regular Grade 2 Regular
- Action Cond Regular Web Grade 2
- ActionCondensedRegular-Grade2
- ActionCondRegularTrial-Grade2
- Anormal Sans TRIAL Regular Condensed
- CocogooseProUltCm Light
- CocogooseProUltraComp-Light
- CocogooseProUltraCompTrial Light
- Dharma Slab C Extrabold Italic
- DharmaGothicC-ExBoldItalic
- DharmaGothicRndC-ExBoldIt
- FSP DEMO - Polate Soft Regular Regular
- GT Standard Mono Beta V2 Compressed Medium
- GT Standard Mono Compressed Medium
- GT Standard Mono Compressed SemiBold
- GT Standard Mono Trial Cm Md
- GT Standard Mono Trial Cm Smbd
- Heading Now Trial 24 Regular
- Heading Now W05 24 Regular
- Heading Pro Ultracompressed Tri Book
- Heading Pro Ultracompressed Trial Book
- Heading Pro Ultracompressed Trial Regular
- HeadingNow Trial 24 XComp Regular
- HeadingProUltracomp Book
- HeadingProUltracompressed-Book
- Highstar
- Kicker Trial Inline
- Klub02-Medium
- Lugak Sans Light Narrow
- Renew 24 XComp Regular
- Sobates
- TungstenCondensed-Medium
- Ubicada-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.