HeliumOutline-Heavy
Similar fonts
- AmmanSansPro-Thin
- AmmanV3 Sans Thin
- AmmanV3 Sans Thin Italic
- BCMikser-Italic
- BCMikser-LightItalic
- BoxedRoundThinItalic
- BoxedThin-Italic
- ClanNarrow-Thin
- ClanOT-NarrowThin
- ClanPro-NarrowThin
- Conta Mono ExtraLight
- Cottorway Condensed W05 Thin
- FSP DEMO - Nmn Thn Cndnsd Italic
- FSP DEMO - Yshd Sns Thn Cndnsd Italic
- Futurama Title Font
- KelptA1-ThinItalic
- MasifaNr-ExtraLightIt
- MasifaNr-ThinIt
- MasifaRdNr-ThinIt
- Nominee Thin Condensed Italic
- Obviously Narrow Thin Italic
- Pathway Extreme 120pt SemiCondensed ExtraLight Italic
- Pensum Pro DEMO Thin Italic
- PensumPro-ThinItalic
- Sharp Grotesk PE Thin Itl 15
- Sharp Grotesk PE Trial Thin Itl 15
- Sharp Grotesk Thin Italic 15
- Sharp Grotesk Thin Italic 15 Regular
- SharpGrotesk TRIAL ThinItl 15
- SharpGrotesk-ThinItalic
- SharpGrotesk-ThinItalic15
- Strongest Weakest Outline
- Yoshida Soft Thin Condensed 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.