Retail Thin Italic
Similar fonts
- ABC Oracle Thin Italic
- Azeret Mono-TRIAL Thin Italic
- Bagoss Extended VF
- BBVA Web Light Italic
- CF ModGrotesk Test ExtLight
- Cicle Fina Italic
- Coolvetica ExtraLight Italic
- CoreSansN25ExtraLight-Italic
- F37 Blanka Greek Trial Thin Italic
- F37 Blanka Pan African Trial Thin Italic
- F37 Blanka Thai Trial Thin
- FodaSans W05 Medium ita
- FSElliot-LightItalic
- FSP DEMO - Cmplr Lght tlc Regular
- FSP DEMO - Dillan Ultra Light Italic
- FSP DEMO - Konstanz ExtraLight Italic
- FSP DEMO - ltSnsssntlltrLghtt Regular
- FT Blank Mono Trial Thin
- Halyard Micro ExtraLight
- IvyEpic ExtraLight Italic
- KMR Melange Grotesk Thin Italic
- Newsreader 7pt ExtraLight
- Pathway Extreme 36pt Thin Italic
- Produkt Light Italic
- Rand-ThinItalic
- Sceptica-ThinItalic
- Shibui-LightItalic
- Sigma-Oblique
- Sour Gummy Thin
- Speedee Light
- StagSans-Light
- TRY Grtsk ExtraLight Backslant Regular
- Visa Dialect Light 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.