Bebas Neue Pro Expanded Light
Similar fonts
- Apercu Condensed Pro Thin
- AshemoreCondThinItalic
- AttractiveCond HairLineItalic
- Benton Sans Condensed Thin Italic
- Booster Sans Trial Narrow Thin Italic
- Bourton Text Hairline Narrow
- Branding SF Cnd Thin
- Branding SF Cnd Thin It
- BrutaGlbCondensed-Thin
- Center-Thin
- Corporative Alt Cnd Hair Italic
- Corporative Alt Cnd Thin Italic
- CorporativeSoft CndAlt Thin It
- CorporativeSoftCnd-ThinItalic
- DBHelvethaicaX-27UlLiCond
- Finlandica Headline Thin
- Fixture Thin
- FSP DEMO - MldSmCnd-ltrLghtRvrs Regular
- Geogrotesque Mono Trial Thin
- GothamXNarrow-ThinItalic
- GravurLLCond-ThinItalic
- Honeywell Cond Light Italic
- Iosevka NF Thin
- IosevkaTerm NFP Thin
- IzmirNarrow-Thin
- Komplekt 040 Thin TRIAL
- Ltt Recoleta Compressed Thin
- Marsden Narrow Hairline
- Merced-Light
- Neusa Next Std Trial Condensed Thin
- Spezia Narrow TEST FONT Light
- TT Commons Pro Condensed Thin Italic
- TT Commons Pro Trl Cnd Th It
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.