Halix-CondensedItalic
Similar fonts
- 946Latin-Semidense1L
- Banbridge-CondensedBold
- BernerBasisschrift2
- Bonny Regular
- Cahuenga Light Italic
- CahuengaLight-Italic
- Conto Narrow Light Regular
- Daedra
- Ficus
- FOTBanbridge-CondensedBold
- FOTHalix-CondensedItalic
- FOTHalix-CondensedRegular
- Grifito Test S Light Italic
- Grifito Teste S Light Italic
- Halix-CondensedRegular
- Items Text Demo Condensed Light Italic
- Items Text Trial Condensed Light Italic
- Items Text Unlicensed TRIAL Condensed Light Italic
- Mountella Demo ExtLt Ita
- Mountella Variable ExtLt Ita
- Mynor Test Light Condensed Italic
- NaN Rage Zipp X-Condensed-TRIAL Regular
- Navarro-BookItalic
- NovareseBkPL-Italic
- Novelty-Italic
- OPTINonoy-BookItalic
- Presley Slab Light Italic
- ReserveCondensed-LightItalic
- Roboto Serif 72pt UltraCondensed ExtraLight Italic
- Sarre-UltraLight
- Terza Display Web Light Italic
- TerzaDisplayTrial-LightItalic
- Velino Ultra Compressed Light
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.