FSP DEMO - Grllmstr xpndd xtLt Regular
Similar fonts
- AbitareSansItalic-0wt
- Agrandir Variable UltCond Thin
- AR YuanB5HK LT
- ARB-218 Neon Blunt MAR-50 Bold
- Automata TRIAL Copyright Enrico Sogari ExtraLight
- BMWGroupTN SemiSf Cn Pro Th
- BS Notion TRIAL Extralight
- Epilogue 200
- ExpresswayXl-Regular
- Fb Pragmati Wide Eng Thin
- Feature Mono
- FoundryMonolineOT3-UltraLight
- FSP DEMO - Autor Thin Regular
- FSP DEMO - Pontiac Light Regular
- FwTRIAL Neue DIN SemiCond XLight
- Google Sans Flex Rounded 72pt ExtraLight
- Gregory Grotesk Compressed TRY Thin
- Halogen Slab Light
- Hedra ExtraLight
- Hero New UltraLight Italic
- King-ExtraLight
- Lens Grotesk W05 Extra Light
- Merlo-RoundRegular
- Metsys W00 Thin
- Museo100-Regular
- Naveid Upright Variable Regular
- P22Eaglefeather-SCLt
- PHES-ExtraLightExtraExpanded
- RimouskiLt-Regular
- Roboto Condensed ExtraLight
- SC Walla Unlicensed Trial Thin Italic
- Vito Extended Extra Light
- Zoom Pro Compact 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.