FSP DEMO - Fields Regular
Similar fonts
- 00 Wagram Mono Non-Commercial Regular
- Aether Mono TRIAL
- Aether Mono TRIAL
- AetherTRIAL B
- Algebra-Regular
- AmstirPixel-Regular
- Apris Regular
- Apris Trial Regular Italic
- BeirutText Light
- BlackerPro Narrow Text Trial Italic
- CIBFont Serif Regular
- Dibaj FaNum Regular
- DomaineText-RegularItalic
- Fields Regular
- GEMSEA-3D
- GH Guardian Headline Regular
- Herotenn
- IDSerif-Book
- Journal Italic
- Kierkegaard Text Regular
- Light Text Trial Regular
- Lillianesque
- LiteraRandom-Bold
- NaN SuperX Serif Text-PREVIEW Regular
- OrLemmenMono-LightItalic
- Quarantine_Fa_Num Normal
- Recife Text Trial Book
- Reimbrandt
- Remix B Unlicensed Trial Italic
- Seraphs DEMO Calligraphic Light
- Solaris Test-Regular
- TT Bells Trial Italic
- Vecna Bold
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.