ESRI ERS Infrastructures S1
Similar fonts
- ArmchairModernOT-BGauge
- AstrokidsDoodle
- Breakwater Regular
- CassandraPlus W01 Light
- CoFo Peshka 260 Trial 260 Thin
- Crafter Dreams
- Devil Breeze Book
- DiscourseMiddle-Light
- F37 F51 Expanded Light
- F37 F51 Extended Light
- Falling Dreams
- Fluta Regular
- FSP DEMO - Geometos Neue Light Regular
- Hyperspace Bold
- KG Sorry Not Sorry
- MollySansXCPERSONAL-Thin
- MONDIX
- Neon NBL Wide Light
- OnlyYouSexyBold
- OrganGrinder-Regular
- Prism-Medium
- Prisma
- QB One ExtraLight Condensed
- RoyalArtHouse04
- SiliconeLt-Italic
- Skolar Sans PE Cn TRIAL Th It
- Spacema Inline
- Stendo 300 Normal
- TakeWarning-Regular
- TTMilksCasualOutline-Shadow
- Uomo-WideItalic
- VC Kansas Casual Trial Light
- Zing Rust Line Diagonals2 Fill Shadow2
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.