Optimistic AI Text Thin
Similar fonts
- ABC Diatype Rounded Semi Mono Thin Italic
- ABC Ginto Unlicensed Trial Hairline
- ABeZehSlabEDU-ExtraLight
- AbitareSansItalic-0wt
- Agile-ExtraLightItalic
- Ama Diatype Thin Thin
- AR YuanB5HK LT
- Automat Grotesk Extralight
- bp Sans Thin
- Brisa Sans Thin
- Bugrino Trial Extralight Italic
- Fabric Grotesk_Trial Thin
- FarhangDot1 Thin
- FivoSans-Thin
- Formular-ExtraLightItalic
- Gratimo Grotesk DEMO xLight Italic
- Homizio Nova Light
- ID Grotesk Trial Thin
- Inter 24pt ExtraLight
- KMR Waldenburg Regular
- Lacrima-LightItalic
- Lota Grotesque Extra Light
- Monica Pro
- Peridot PE ExtraLight Italic
- Petrov Sans-Trial Light Italic
- Provan Formal W05 ExtraLight It
- Regular Grotesk Trial Extralight
- Shentox-UltraLightItalic
- SN Pro
- Spezia Normal Book
- Syke Mono Test Thin Italic
- Theinhardt Mono Trial Thin Ita
- Ubuntu Sans 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.