Optimistic AI Hair
Similar fonts
- ABC Diatype Rounded Semi Mono Thin Italic
- ABC Diatype Rounded Semi-Mono Thin Italic
- ABC Diatype Rounded Thin Italic
- ABC Ginto Unlicensed Trial Hairline
- ABeZehSlabEDU-ExtraLight
- Aeonik Thai TRIAL Thin
- AvertaStd-ExtrathinItalic
- Axios Pro Itallic
- BCMF Sans Display Trial 100 Italic
- BCMF Sans Text Trial 100
- Bombastic Outline Round
- bp Sans Thin
- Bugrino Trial Extralight Italic
- Bw James ExtraLight
- CriqueGroteskDisplay-UltraLight
- DHanna-Thin
- Feature Mono
- FivoSans-Thin
- Glance Slab Test Thin
- Google Sans Flex Rounded 120pt SemiCondensed Thin
- Gratimo Grotesk DEMO xLight Italic
- Knopa Outline 3
- MAD Sans Black
- MAD Sans Pro Bold
- MalnorSans-ExtraLightOblique
- OrangeRoyale Closed W00 Outline
- Ritual Thin Italic
- SF Pro Display Ultralight Italic
- Signs Trial Thin
- Spezia TEST FONT Light Italic
- Spezia Trial Light
- Trispace Regular Variable
- 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.