FSP DEMO - Calps ExtraLight Regular
Similar fonts
- Agrandir Tight Thin
- Borba-Medium
- CalpsSans-ExtraLight
- Denova Extra Light Condensed
- Esenka ExtraLight
- Fabrikat Thin
- FSP DEMO - Hrkd xtr Lght Nrrw Regular
- FSP DEMO - Pl Cndnsd xtrlght Regular
- Google Sans Flex 36pt ExtraCondensed ExtraLight
- Google Sans Flex Rounded 24pt ExtraCondensed ExtraLight
- Google Sans Flex Rounded 36pt ExtraCondensed ExtraLight
- GravurLL-LightCondensed
- HvDTrial Fabrikat Mono Thin
- HvDTrial Officer Sans Cond Light
- iCiel Good News Sans Thin
- Interstate ExtraLight Cond
- InterstateCondensed-ExtraLight
- KarepeFX-BoldOutline
- Netflix Sans App Cd Thin
- Netflix Sans Cd Thin
- Neusa Next Std Trial Condensed Light
- PHES-ExtraLightExtraCond
- PP Agrandir Tight Thin
- PP Agrandir Tight Thin Italic
- Refinery 55 Light
- Sancy Unlicensed Trial ExtraLight
- SERIAL E TRIAL Thin
- SWIM Wicket Mono VF Light
- TelstraGravur-Light
- TT Commons Pro Condensed Light
- TT Commons Pro Trl Cnd Lt
- USSF 90 Min Display Thin
- Wynka
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.