NATURE green
Similar fonts
- Asenka Outline
- Cocogoose Pro Comp ThinItalic
- CocogooseProCm ThinIta
- CocogooseProCompTrial ThinItalic
- Core Sans NR SC 17 Cond Thin
- CoreSansNRSC17CnThin
- CoreSansNSC17CnThin
- FL Art Grotesk DEMO Narrow Thin Italic
- FSP DEMO - lltrp Cndnsd Thn Regular
- Galeana Condensed Thin
- Heading Now W05 51 Thin Italic
- HeadingNow 491 Cond Thin Ita
- HeadingNow Trial 491 Cond Thin Ita
- HeadingNow Trial 51 Narr Thin Ita
- HeadingNow Trial 51 Thin Italic
- Intro Head H UC H1
- Intro Head H UC_FF H1
- KelptA1-Thin
- Korolev Condensed Thin
- Korolev Condensed W04 Thin
- KorolevPro-ThinCondensed
- MasifaNr-Thin
- Movida Condensed UltraThin
- NATURE green
- Obviously Demo Narrow Thin
- Obviously Narrow Thin
- Obviously Narrow Thin
- Obviously Narw Thin
- ObviouslyNarrow-Thin
- Renew 491 Cond Thin Ita
- RleudNarrowSC-UltraLight
- Yoshida Sans Thin Condensed
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.