Elysio-Thin
Similar fonts
- ABC Diatype Condensed Thin
- ABC Diatype Mono Condensed Unlicensed Trial Thin
- ABC Diatype Semi-Mono Condensed Thin
- ABC Diatype Semi-Mono Condensed Thin Unlicensed Trial Thin
- ABC Publisher Rounded Mix Condensed Trial Thin Italic
- ABC Publisher Rounded Mix Condensed Unlicensed Trial Thin Italic
- ABC Publisher Rounded Sans Condensed Unlicensed Trial Thin Italic
- ABC Publisher Rounded Slab Condensed Trial Thin
- ABC Publisher Rounded Slab Condensed Unlicensed Trial Thin
- ABC Publisher Rounded Slab Condensed Unlicensed Trial Thin Italic
- ArtegraSoftCn-Thin
- BMWGroupTN SemiSf Cn Pro Th
- BMWTypeNext Condensed TT Thin
- Cocotte UltraLight
- DiezmaRd-ExtraLight
- Fico Condensed Test Thin
- FSP DEMO - Artegra Slab Cn Thin Regular
- FSP DEMO - Dexa Pro Cn Thin Regular
- FSP DEMO - Nv Grtsk Cndnsd Thn Regular
- FSP DEMO - rtgr Sns Cn lt Thn Regular
- GC Kohlen Hairline
- GT Flexa Cm Lz It
- GT Flexa Trial Cm Lz It
- Itaca Book
- Komplekt 040 ExtraLight Italic TRIAL
- LuciferSansCondensed-ThinItalic
- Mona Sans SemiCondensed ExtraLight
- neue Vektor CNC Trial Thin
- Pfizer Diatype Semi-Mono Condensed Thin
- SkolarSansLatnCp-ThIt
- TT Commons Pro Condensed ExtraLight Italic
- TT Rounds Neue Compressed Thin Italic
- URW DIN Arabic SemiCond Thin
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.