LettrGoth12CBT-Bold
Similar fonts
- ABC Favorit Condensed Trial Extrabold Italic
- ABC Oracle Greek Triple Unlicensed Trial Bold
- AlasTrial-ExtraCondMedIta
- Bonnie Condensed SemiBold
- Boodle Bold
- BundaySans-SemiBold
- Bw Modelica SS01 ExtraBold Ultra Condensed Italic
- Bw Modelica SS02 DEMO Bold Ultra Condensed
- Cadillac Sans A Medium
- ChollaSansOT-BoldItalic
- Ciutadella TRIAL SmBd Italic
- DicSans Medium
- Fact Narrow Web Medium
- FSP DEMO - rtgr Sns Cn lt SmBld Italic
- FSP DEMO - rtgr Sns Cn SmBld Regular
- GT Standard Mono Narrow Heavy Oblique
- GW Rounbrew Italic-Bold-Trial
- Inconsolata SemiCondensed ExtraBold
- Info Text Offc Bold
- InfoDisplayPro-Bold
- InfoTextOT-Semibold
- Italian Plate No1 Bold Italic
- Lintel Test ExtraBold Italic
- NotesSoft-BoldIta
- OmnesCyrillic Cond SemiBold
- PlanGrotesqueCond-Medium
- SaturaTextPro-BoldItalic
- Stardust Trial Condensed Medium
- TimelessRadiance-Serif
- TT Prosto Sans Trl Cnd Bold
- VL CiutadellaRounded Bold
- We Benang Sans Medium
- WhitneyCondensed-Semibold
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.