Quebra ExtraLight
Similar fonts
- 888 Semi Condensed Thin
- Adapt Narrow Thin
- Attractive Thin
- Blastrick Normal Outline
- Corporative Sans Cnd TAB Hair Italic
- CorpSansRdAlt-HairCnd
- F37 Mancunio Trial Thin Condensed
- FAIRE Print Sans Trial Hairline
- Freigeist Con Thin
- FSP DEMO - Peridot LT Narw Thin Regular
- Geogrotesque Thin Italic
- Geogrotesque-ThinIt
- GeogrotSharp TRIAL Thin Italic
- Iosevka NF Thin
- IosevkaTerm NFP Thin
- Komplekt 050 Thin Italic
- Lemon Sans Next Cond Thin Italic
- Messina Sans Condensed Trial Hairline Italic
- Neusa Next Pro Condensed Thin Italic
- Nika Condensed_Trial ExtraLight
- PP Pangram Sans Rounded Condensed Thin Italic
- PP Supply Sans Thin
- PP Supply Sans Variable
- Shentox TRIAL Th
- Sofia Sans Semi Cond HairLine
- Sofia Sans Semi Cond HairLineItalic
- Sofia Sans Semi Cond Thin Italic
- Spezia Narrow Light Italic
- Tomkin-Thin
- TTSupermolotNeue-CondThinIt
- Vinyl Outline ITC
- VLDekarLight
- XXIICentarExtraThinIt
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.