FSP DEMO - Polate Soft B2 Bold Italic
- NameFSP DEMO - Polate Soft B2 Bold Italic
- Family
FONTSPRINGDEMO
- Style
PolateSoftB2BoldItalic
- Added
03 Mar 2026
Similar fonts
- Adso Medium
- BC Ludva Bold BackSlant
- BC Ludva TEST Bold Slant
- CS Chastain Reverse Italic
- FSP DEMO - NvcntsnscndnsdLght Bold
- FSP DEMO - Plt Sft D4 Rglr Regular
- FSP DEMO - Polate Soft C3 Bold Italic
- Good Head Offc Pro Comp Black Italic
- GoodHeadlinePro-XCondMedium
- GT Standard L Condensed Heavy Oblique
- GT Standard M Condensed Bold Oblique
- GT Standard Mono Condensed Bold
- GT Standard Trial Cn Bd L Obl
- GT Standard Trial M Cn Bd Obl
- Heading Pro Ultracompressed Tra ExtraLight Italic
- HeadingNow 37 Comp XBold Ita
- HeadingNow Trial 37 Comp XBold Ita
- HeadingNow Trial 495 Cond Medium
- HyperspaceRaceCondensed-Bold
- Magno Serif Extrabold Oblique
- MasifaExtraCn-Medium
- Midnight Sans ST Trial 12 Regular
- Monopol TRIAL Bold Italic
- MTM Atocha 62 Test Chupada Ligera
- Novecento sans condensed DemiBold
- Novecento slab condensed DemiBold
- Phill Compressed Black Slanted
- Polate Soft B2 Bold Italic
- Revelia-RegularSlanted
- ReveliaSoft-RegularSlanted
- Sharp Grotesk Bold Italic 12
- Sharp Grotesk PE Bold Itl 11
- SharpGrotesk-BoldItalic11
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.