SkolarSansLatnCp-BdIt
Similar fonts
- Aktiv Grotesk Cd Hebr SemiBold Italic
- Aktiv Grotesk Cd SemiBold Italic
- Baikal ExtraCond Med Ita
- Belvis
- CamingoDosProCd-SemiBold
- CCBackBeat Tight Light
- Costco Sans Condensed Medium
- DBHelvethaicaX-77BdCond
- Delight Black Brushy
- DraftNaturalHiResF-Bold
- DraftNaturalHiResTwoF-Bold
- DynaGrotesk22-BoldItalic
- FF Good Pro Narr Bold Italic
- Fixture Medium
- FSP DEMO - Gmbl Grtsq Cmprssd Bold Italic
- GermaniaOne-Italic
- GT Standard S Narrow Bold Oblique
- InputSansCompressed MediumIta Edu
- InputSansCompressed MediumIta Testing
- JD Sans Pro Cond Bold Italic
- JTMillburn-CondensedSemiBold
- KommonGroteskCom-MediumIt
- Novel Sans Cy Cmp SemiBd
- Novel Sans He Cmp SemiBd
- Novel Sans Pro Cmp SemiBd
- Ordax Medium Italic
- Ordax W01 Medium Italic
- Plantago Condensed Semibold Italic
- SkolarSansPro-CompBoldItalic
- SupriaSans-CondMediumItalic
- Trial Totally Bold
- XXIICentarMediumCnd
- Zawya Pro Normal Normal
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.