tt-backwards-script-regular Bd
Similar fonts
- Agenda One Compressed Bold Italic
- Alt Gothic ATF Demi
- Antarctican Headline Semibold
- AptlyRust
- Artico ExtraCond Medium
- BankSansEFCY-RegCom
- Clarimo UD PE Compressed Ult
- CoreMellowCondensed-Bold
- DraftH-ExtraBold
- DraftNaturalHiResH-Black
- Fairweather Black Italic
- FSP DEMO - Bebas Neue Pro Bold
- FSP DEMO - Scaffold SemiBold Regular
- GC Bigno Semi Bold
- GinearDEMO-Regular
- Giza-OneOne
- GL Bader Compress Black
- Good Offc Pro XCond Black Italic
- GrotzecHeadCondensed-DemiBold
- HeroicCondensed-BlackOblique
- Ioskeley Mono NL Extrabold Condensed
- Italian Plate No2 Extracondensed Demibold Italic
- Neumatic Gothic ExtraBold Oblique
- NewGroteskSquareFOUR
- Nobulina-Regular
- Panell Compressed-TRIAL Regular
- Prager Headlines
- Resolve Sans W05 Black Cn Ita
- Sofia Sans Extra Condensed ExtraBold
- SolanoGothicRetroMVB-Bd
- TCCC Unity Cond Bold
- Venn-CondensedExtraBold
- ZTFloogn-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.