Pekora-BoldSlabSerifItalic
Similar fonts
- ABC Diatype Semi Mono Condensed Bold Italic
- Aerton Cnd EFN Bold
- AlasTrial ExtraCond Med
- BundayClean-SeBoldUp
- CamingoDosProCd-SemiBold
- CCBackBeat Tight Light
- Colby Narrow Medium
- Comenia Sans Cond Medium Italic
- CoreMellow-MediumItalic
- CoreSansNR57CnMedium
- FestivoLCBasicLLine
- FS Industrie Nw Medium Italic
- Gegant-Medium
- Geogrotesque TRIAL Md
- GT Standard Mono Trial Nr Smbd Obl
- GT Standard S Narrow SemiBold Oblique
- GT Standard Trial M Nr Bd
- Info Text Offc Pro Medium
- InfoDispMediumTf-Roman
- JTMillburn-CondensedSemiBold
- Loos-CompressedRegular
- Mako Round Medium Italic
- MelocheRg-Regular
- NK57MonospaceCdRg-BoldItalic
- Pfizer Diatype Mono Condensed Bold
- PreloCondensed-SmBdItalic
- Resolve Sans W05 SmBd Nrw Ita
- ResolveSans-SemiBoldNrw
- Rules Slab Condensed Bold Italic
- Saira Condensed Medium Italic
- Shuttleblock Condensed Demi Italic
- Signal Italic
- SupriaSans-CondMediumItalic
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.