Naconda-Italic
Similar fonts
- Apex Sans Book Regular
- ApexNew-Book
- ApexRounded-Book
- ApexSerifBook-Regular
- Bastien Rough
- ChivasPrioriItalic
- CorsicaSX-BookCondIt
- DadaGrotesk-Light
- Dosis Book
- Flink Neue Cmp Test Book It
- FSP DEMO - Asket Narrow Light Italic
- FSP DEMO - Nicomedia ExtLt Regular
- GillSansBQ-LightItalic
- GT Walsheim Pro Trial Cn Lt Ob
- GT Walsheim Pro Trial Condensed Light
- GT Walsheim Pro Trial Condensed Light Oblique
- GT Walsheim Trial Cn Lt
- Gutenberg-Medium
- GutenbergNouveau Alternates
- GutenbergNouveau Alternates2
- HeliaCore-Light
- Kristall Now Pro Cond Light
- KristallNowPro-CondLight
- MaduraiSlab-ConBoo
- MaduraiSlabCondensed
- MaduraiSlabCondensed-Book
- NewNerdishThPL-Regular
- Pierce Alternative
- PrioriSansOT-Italic
- Seawave FY Regular
- SYN Nova Light
- TAY Stupid Cupid
- Yummy Burger Regular
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.