MasifaRdUltraCn-Medium
Similar fonts
- BC Ludva Semibold
- BC Ludva TEST Semibold
- Brodien Regular
- CairoliNow-CondensedMedium
- CAOskarCompressed-Bold
- FSP DEMO - Plt Sft D4 Rglr Regular
- FSP DEMO - Polate A1 Bold Italic
- Good Head Offc Pro Comp Black Italic
- GoodHeadlinePro-CompBlackItalic
- GoodHeadlinePro-XCondMedium
- GoodHeadlineWeb W03 XCondBold
- GT Standard L Condensed Bold Oblique
- GT Standard M Condensed Semibold
- GT Standard Trial Cn Bd L Obl
- Maleo Trials Medium Italic
- NTF-Grand Regular
- Polate Soft Black Italic
- Polate Soft C3 Regular
- Sharp Grotesk Bold Italic 10 Regular
- Sharp Grotesk PE Trial Black Itl 10
- SharpGrotesk BlackItl Unlicensed Trial 09
- SharpGrotesk BlackItl Unlicensed Trial 10
- SharpGrotesk BoldItl Unlicensed Trial 10
- SharpGrotesk TRIAL BlackItl 10
- SharpGrotesk TRIAL BoldItl 10
- SharpGrotesk-BlackItalic10
- TCCC-UnityCondensed Medium
- Television Condensed Trial Extrabold Italic
- TriplexCondSansOT
- TriplexCondSansRegular
- Tungsten-Medium
- TungstenRounded-Medium
- VV The Ruby Duo Cond Reg
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.