SF Intellivised Outline Italic
Similar fonts
- ABC Pelikan Extended Trial Light
- AXtBoutrosAdvertisingMd
- Benda Regular
- Benda TRIAL Regular
- Bermuda W01 DotsLP
- Calandify Thin Italic
- ChantillyShadow-BoldItalic
- ETCAnybody-ExtendedLight
- Grtsk Giga Bkslnt Light
- Grtsk Giga Light
- Grtsk Light Mega Backslant
- iCielAltus-Bold
- iCielAltusExtra
- Knox Serif Outline Serif O
- KongScript-RegularOblique
- Neue Gravica Extra Light Italic
- Newbery Sans Pro Expanded ExtraLight Italic
- Newbery Sans Pro Xp ExtraLight It
- Oughtred Trial
- Phill Wide ExtraLight Slanted
- Proximity VLine Bold Italic 50
- Proximity VLine Trial Bold Italic 50
- Road Race Extra Stamp
- Roboto Serif 8pt ExtraExpanded ExtraLight
- TRY Grtsk ExtraLight Mega Backslant
- TRY Grtsk ExtraLight Mega Slant Regular
- TRY Grtsk Light Giga Regular
- TRY Grtsk Light Mega Italic
- TRY Grtsk Light Mega Regular
- Tussilago-Light
- Tussilago-LightItalic
- TussilagoLt-Italic
- TussilagoLt-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.