Trial Mochi Text
Similar fonts
- ABC Ginto Normal Variable Regular
- ABC Ginto Normal Variable Unlicensed Trial Regular
- ABC Helveesti Plus Variable Trial Regular
- ABC Helveesti Spikes Variable Unlicensed Trial Regular
- ABC Whyte Semi-Mono Unlicensed Trial Regular Italic
- Aestetico Regular
- Alnaseeb-Regular
- Brix Sans Regular
- BVH Baldinger Regular
- Ekushey Bangla
- FSEmeric-BookItalic
- GT Standard Trial S Rg
- Hoka_Route-02
- Intelo Medium
- Intro Cd-Trial Regular Oblique
- KappaDisplay-RegularItalic
- Knile-Italic
- LuxSans-BookItalic
- MS Reference Sans Serif
- New Rubrik Regular Italic
- Optimistic AI DM Text Regular It
- PolySans Trial Slim Mono
- Realist Italic
- Resist Mono Italic Variable
- Roag Test Italic
- SansaPro-Normal
- Senes Italic
- Spline Sans Regular Variable
- Tahoma-Regular2
- Ubuntu Mono Nerd Font Complete Mono
- Whyte Inktrap Trial Italic
- WTF Forma Italic
- ZedMono NFP Extd Obl
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.