BentonSansComp-Thin
Similar fonts
- Aldgate Sans XCd Trial Hair
- Alright v2 Condensed LP ExThin
- Alright v2 Condensed Trial
- AmsiProCond-Thin
- Antenna Serif Trial Extra Condensed Thin Italic
- AntennaExtraCond-ThinItalic
- AttractiveExtraCond ThinItalic
- BentonSansComp-Thin
- Bilcase-Outline
- Breite Grotesk Light Condensed Regular
- Config Condensed Thin
- EskizTwoLightCondC
- FSP DEMO - Peridot LT Cond Thin Regular
- Haas Recast Dense UCd Trial Hair Italic
- House Sans Narrow Thin
- Lama Sans Thin Condensed
- Marsden Condensed Hairline
- Merlod Autre Thin
- Merlod Queue Thin
- Muller Next Condensed Thin
- Noto Sans Lao Looped ExtraCondensed Thin
- Peridot PE Condensed Thin
- Phenomena-Thin
- Polin Condensed Hairline Italic
- Serca Condensed Thin
- Sofia Sans Cond Thin
- Sofia Sans Extra Condensed HairLine Italic
- SohoStd-ThinCondensed
- Spezia Condensed Trial Thin
- Spezia Trial Condensed Thin
- VC Cardinal Semi Condensed Trial Thin Italic
- VL Sofia Sans Condensed Thin
- Zen Loop 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.