CoreSansNSC-13ExtdThin
Similar fonts
- Cocogoose Pro Italic
- Cocogoose Pro Thin
- Cocogoose ProTrial Thin Italic
- Cocogoose W01 Inline
- CocogoosePro-Inline
- Core Sans NR SC 13 Ext Thin
- FSP DEMO - Cocogoose Pro Inline Regular
- FSP DEMO - ntr Scrpt Gds Bnnrs Regular
- Gallos Uncial UltraLight
- GrandLabel-Decor
- HAL Magic High Unlicensed Thin
- HAL Magic High Unlicensed Thin Oblique
- Neue Metana Next Outline Black
- Trois Mille Thin 25
- Trois Mille Thin 33
- Trois Mille Thin 34
- Trois Mille Thin Itl 21
- Trois Mille Thin Itl 32
- Trois Mille Thin Itl Unlicensed Trial 24
- Trois Mille Thin Itl Unlicensed Trial 26
- Trois Mille Thin Itl Unlicensed Trial 32
- Trois Mille Thin Unlicensed Trial 25
- Trois Mille Thin Unlicensed Trial 32
- Trois Mille TRIAL Thin 24
- Trois Mille TRIAL Thin 27
- Trois Mille TRIAL Thin 34
- Trois Mille TRIAL Thin Itl 24
- Trois Mille TRIAL Thin Itl 26
- Trois Mille TRIAL Thin Itl 30
- Trois Mille TRIAL Thin Itl 31
- TroisMille-Thin27
- TroisMille-ThinItalic26
- TroisMille-ThinItalic33
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.