AmmanSansArabic-LightIta
Similar fonts
- ABC Ginto Nord Condensed Greek Unlicensed Trial Thin Italic
- AmmanSansPro-LightIta
- AmmanV3 Sans Light
- Archivo Condensed Thin Italic
- Asap SemiCondensed ExtraLight
- Bankia-Light
- CoFo Weather Trial Condensed Light Italic
- Duster AB Thin
- Fira Sans Condensed ExtraLight
- Forluten Bold Tall Extrude
- FS Industrie Nw Light
- Galeana Condensed Regular It
- Globotipo Web Cd Light Italic
- InputSerifNarrow ThinIta
- JetBrains Mono NL Thin
- JetBrains Mono NL Thin Nerd Font Complete Windows Compatible
- JetBrainsMono NF Thin
- JetBrainsMono NFP Thin
- JetBrainsMonoNL NFM Thin
- KG Like A Skyscraper
- ProjectSans-ExtraLight
- RopaMixPro-ExtraLightItalic
- Routine Variable Thin Nm Cnense
- Saira Condensed ExtraLight Italic
- Serca Condensed ExtraLight Italic
- Sharp Grotesk Light Italic 15
- SharpGrotesk-Light16
- SharpGrotesk-LightItalic
- SharpGrotesk-LightItalic15
- Tekne LDO Thin
- UDShinGoCOsizPr6N-ExL
- VC Nudge Trial Light Very Italic
- VerbExCondExtralight
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.