FOTChopstics-BoldItalic
- NameFOTChopstics-BoldItalic
- Family
FOTChopstics Bold Italic
- Style
Bold Italic
- Added
03 Mar 2026
Similar fonts
- AnneBonny-LightItalic
- BennetDisplayCond Light Italic
- Blackwood-BoldItalic
- Bw Pose No 3 DEMO Regular Italic
- Bw Pose No 3 Regular
- CarelyOrches-Italic
- Casta-Condensed
- Denton Condensed Test Light Italic
- EditorCondensed-Italic
- Effimera SemiCondensed Text
- Fazon-Medium
- Flush-Italic
- FSP DEMO - Ragazzi Med Cond Regular
- FSP DEMO - vq Cndnsd Lght Regular
- HotelSuite-SemicondensedItalic
- IM Fell French Canon Italic
- Lemon Drink Italic
- Mick Caster Italic
- Mick Caster Oblique
- Pantrio-Bold
- Parmigiano Text Pro Light Italic
- ParmigianoTextPro-LtIta
- Refresh Everything Script
- ShockTherapy BB Italic
- Signifier-LightItalic
- Signora Light Condensed Slant
- Spezia Serif Condensed TEST FONT Regular B
- Spezia Serif Condensed Trial Regular B
- SpeziaSerif-CondensedRegularB
- Test Signifier Light Italic
- TT Marxiana Antiqua Italic
- TT Marxiana Trial Antiqua Italic
- Unnamed kis-antiqua-pro-italic
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.