DesignSystemB-100I
Similar fonts
- Core Sans N SC 25 ExtraLight Italic
- Core Sans NR SC 25 ExtraLight Italic
- CoreSansNRSC-25ExtraltItalic
- CoreSansNRSC25ExtraLt-Italic
- Design System B W01 100I
- DesignSystemB-100I
- EtharnigSc
- Fraise Thin
- Fraise Thin Italic
- Fraise Trial Thin
- Fraise Trial Thin Italic
- FSP DEMO - CrSnsNSC25xtrLght Italic
- HatchwayExpanded-Light
- Narkiss Block TRIAL Hairline
- Oliver Thin
- P22Speyside-LightSC
- Profile SC Offc Extlight Italic
- Profile SC Offc Pro Extlight
- Profile SC Offc Pro Extlight Italic
- Rachele Medium Semi
- Trois Mille Extlgt Itl Unlicensed Trial 19
- Trois Mille Extlgt Unlicensed Trial 20
- Trois Mille Extralight 20
- Trois Mille Extralight Itl 19
- Trois Mille TRIAL Extlgt 20
- Trois Mille TRIAL Extlgt Itl 19
- TroisMille-ExtraLight20
- TroisMille-ExtraLightItalic19
- TroisMille20-ExtraLight
- Vintaface-Outline
- Vision Thin
- WT Bobine Bold Italic
- WT Bobine TRIAL Bold Italic
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.