BeachCondensedNormal
Similar fonts
- ABC Pelikan Condensed Trial Regular
- ABC Pelikan Condensed Variable Unlicensed Trial Regular
- ABC Pelikan Greek Condensed Unlicensed Trial Regular
- ABC Pelikan Greek Condensed Variable Unlicensed Trial Regular
- ActionTextBright-MdIta
- Ardoise Std Tight Light Bold
- BarrettThinBold
- BeachCondensedNormal
- Bondia SemBd Obliq Rounded
- BraceletGreekWhiteOval-Reg
- Carnova SemiBld Narrow Obl
- Correct Trial Condensed Medium Italic
- Dax Condensed Regular
- FF Dax Pro Cond Medium
- Gemunu Libre Light
- GretaSansCndPro-MedIta
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- Intercom Devanagari Regular
- Intercom Regular
- Modern101-CondensedRegular
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- Nautikka-Medium
- Novel Display XCnd SemiBd It
- Novel Mono Pro Cmp Medium It
- Novel Mono Pro Cmp SemiBd It
- Novel Mono Pro XCmp SemiBd It
- Pelikan Greek Condensed Variable Unlicensed Trial Regular
- Sticky Trial Bold Backslant
- SwisspoTrial SemiCond Med Ita
- Tergo-SemicondensedRegular
- Tiamat Condensed SC Light Italic
- Typograf ExtraCond Medium Italic
- Typograf ExtraCondensed_Trial Medium Italic
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.