K_Helios-ThinCond
Similar fonts
- Berlingske Sans XCondensed Thin Italic
- Berlingske Slab XCondensed Thin
- BerlingskeSansXCn-TnItalic
- BerlingskeSlabXCn-Tn
- Betamax Condensed Thin Italic
- CantigaCnd-UltraLightItalic
- Enotria Condensed Light Italic
- Enspar-ExtracondensedItalic
- Enspar-ExtracondensedRegular
- Forevs Demo Thin
- Forevs Thin
- Forevs Variable
- FSP DEMO - Btmx Thn Cndnsd tlc Regular
- Guardian Sans XCond Web TH Italic
- GuardianSansXCond-ThinIt
- GuardianSansXCondTrial-ThinIt
- HawaiianCapsOutline
- HeliosCondThin
- HeliosCondThinC
- Hurst Regular
- K_Helios-ThinCond
- LechterCondensedItalic
- MaredayPixel-Outline
- Novel Sans Hair Pro Cnd 30 It
- Picador Sans ExtraThin Italic
- Picador Sans Test ExtraThin Italic
- Picador Sans Test Thin
- Picador Sans Test Thin Italic
- Picador Sans Thin Italic
- Smooch Sans Regular
- Smooch Sans Regular Variable
- Smooch Sans Thin
- Tekton PFL Oblique
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.