Miller-TextSCItalic
Similar fonts
- A831-Roman-Regular
- AR HaiBaoB5 BD
- Asdante-Medium
- AusteraTextRegular
- CanelaText-Regular
- CasablancaSerial-Light-Regular
- ChronicleTextG2-Roman
- Clarinet Wide Regular
- ClassGarmndEU Italic
- Collier-ExtraExtendedBookItalic
- Collier-WideExtraLightItalic
- ColumbiaSerial-Regular
- EmulateSerif
- Escalles Text TEST FONT Regular Italic
- Famico-ExtraexpandedRegular
- FSP DEMO - 1499 Alde Manuce Pro Normal
- FSP DEMO - Ltt Recoleta Regular
- Gismonda FG
- Grand Cru W05 Light S
- GT Canon Trial M Exp Md
- LDJ Scribble Scriptish
- Milk and Balls Italic Ultra Light
- Milk and Balls Light
- NotmyType-Regular
- OPTIOptionMedium
- Playfair 9pt SemiExpanded Medium
- ResidenzSerifTrial-MedSmall
- Rustling Trees Regular
- Seraph-ExpandedRegular
- StratoPro-SCBook
- Trial Brule Normal
- VerandaPosterSG-RegularAlt
- WP Radical 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.