Macrosoma Gr Ultra Condensed Extralight
Similar fonts
- DharmaSlabC-RegularItalic
- FL Art Grotesk DEMO Squeezed Bold Italic
- FL Art Grotesk DEMO Squeezed Medium Italic
- FL Science Sans DEMO Squeezed Bold Italic
- FL Science Sans DEMO Squeezed Medium Italic
- Macrosoma Gr Ultra Condensed Trial Extralight
- Macrosoma Sl Ultra Condensed Trial Extralight
- Obviously Cmp Medium Italic
- Obviously Comp Medi Italic
- Obviously Compressed Medium Italic
- Obviously Compressed Medium Italic
- ObviouslyComp-MediumItalic
- Phill Compressed Light Backslanted
- Phill Compressed Light Backslanted
- Phill Soft Compressed Light Backslanted
- Plakette Shadow Light
- Sharp Grotesk Light 11
- Sharp Grotesk Light 11 Regular
- Sharp Grotesk Medium Italic 07
- Sharp Grotesk Medium Italic 07 Regular
- Sharp Grotesk Medium Itl 07
- Sharp Grotesk PE Medium Itl 07
- Sharp Grotesk PE SmBold Itl 06
- Sharp Grotesk PE Trial Medium Itl 07
- Sharp Grotesk PE Trial SmBold Itl 06
- Sharp Grotesk SmBold Italic 06
- SharpGrotesk MediumItl Unlicensed Trial 07
- SharpGrotesk TRIAL Light 11
- SharpGrotesk TRIAL MediumItl 07
- SharpGrotesk TRIAL SmBoldItl 06
- SharpGrotesk-MediumItalic07
- Title Fight Light Italic
- Title Fight Regular 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.