HeadingNow Trial 23 Book Italic
- NameHeadingNow Trial 23 Book Italic
- Family
HeadingNowTrial
- Style
23BookItalic
- Added
03 Mar 2026
Similar fonts
- ABC Gravity XXXX Compressed Trial Black Italic
- Adso UltraLight
- Anek Bangla Condensed ExtraLight
- Anek Devanagari Condensed ExtraLight
- Anek Latin Condensed ExtraLight
- Anek Telugu Condensed ExtraLight
- Baby Baby Color Pink Slanted
- Balbek Pro Thin Oblique
- Bw Fusiona DEMO 23 Thin Italic
- Bw Fusiona DEMO 24 Light Italic
- FSP DEMO - Polate Light Italic
- FSP DEMO - Polate Soft A1 Light Italic
- FSP DEMO - Polate Soft Light Italic
- Good Head Offc Pro Comp Light Italic
- GoodHeadlinePro-CompLightItalic
- Happy Season Light
- Heading Now W05 23 Book Italic
- HeadingNow Trial 23 Book Italic
- Monopol TRIAL Light Italic
- Polate Soft Light Italic
- Qolians Slant
- RFRufo-Thin
- Scrimshaw CPC Two Cut
- Sharp Grotesk Book Italic 10 Regular
- Sharp Grotesk Light 12 Regular
- Sharp Grotesk PE Book Itl 10
- SharpGrotesk-BookItalic10
- SharpGrotesk-Light12
- Titular Book Italic
- Truculenta 28pt Condensed ExtraLight
- Truculenta 48pt Condensed ExtraLight
- Workhorse Gothic 2 Test Condensed Light Reverse
- Zacatecas1914
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.