PP Pangram Sans Rounded Slim Extralight
- NamePP Pangram Sans Rounded Slim Extralight
- Family
PPPangramSansRounded
- Style
SlimExtralight
- Added
03 Mar 2026
Similar fonts
- 64-SRC-Light
- Averta PE VF Extrathin Cond Ita
- Bild v4 ExtraLight
- Bild v5 ExtraLight
- Chevy Sans Narrow Thin
- Config Condensed Thin
- CoreMellow-Thin
- Early Times Thin Demo
- Elza-CondensedThinOblique
- EskizTwoLightCondC
- Fester_Trial ExtraLight
- FSP DEMO - Palo Condensed Thin Regular
- FSP DEMO - strd Grtsk Xlt Cn Regular
- GC Kohlen Hairline
- Google Sans Flex 72pt ExtraCondensed Thin
- GravurLLCond-Thin
- Halvar Engschrift ExtraThin
- MilligramCondensedTrial Thin Italic
- Mozer-Thin
- Mozer-Trial Thin
- NeoGram UltraLight Cond
- North Durham
- Noto Sans Thai Looped Condensed Thin
- PHES-ThinExtraCond
- PP Pangram Sans Rounded Slim Extralight
- Preussische VI 9 Linie
- RotrudeOutline-Light
- Serca Condensed Thin
- Sofia Sans Cond Thin
- TT Lakes Neue Trl Cnd Th
- TT Sprmlt N Trl Cnd Th
- TTLakesCondensed-Thin
- TTSupermolotNeue-CondThin
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.