AtacamaBeTri-ExtraCondThin
Similar fonts
- AL Milano Condensed Trial ExtraLight
- AL Milano Condensed Unlicensed ExtraLight
- Amazonia Trial ExtraCond Thin
- AmazoniaBeTri-ExtraCondThin
- Atacama-ExtraCondensedThin
- AtacamaBeTri-ExtraCondThin
- AtacamaTrial-ExtraCondThin
- Cottage Farmhouse Doodles
- CottageandFarmhouseDoodles
- FOTGarandrun-CondensedItalic
- FOTPintip-CondensedBold
- Garandrun-CondensedItalic
- Grollera Condensed Thin Oblique
- Items Text Demo Condensed Monospaced
- Items Text Demo Condensed Thin
- Items Text Trial Condensed Monospaced
- Items Text Trial Condensed Thin
- Items Text Unlicensed TRIAL Condensed Monospaced
- Items Text Unlicensed TRIAL Condensed Thin
- Ltt Recoleta Compressed ExtraLight
- NicolaDisplayTrial-ThinItalic
- Pintip-CondensedBold
- Rizoma L ExtraLight Italic
- Rizoma Test L ExtraLight Italic
- Romain du Roi ExtraCond Thin
- Romain du Roi Trial XCn Th
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.