Attacktion Demo Brush
Similar fonts
- Almendra SC Italic
- AlmendraSC-RegularIt
- Amazon Endure Light Italic
- Attacktion
- Attacktion Demo Brush
- Cambon Narrow Test Light Italic
- ColonelShadow-Bold
- Costco Serif Cond Display App Light Italic
- Costco Serif Cond Display Light Italic
- Costco Serif Cond Display TT Light Italic
- Dearshy Haislein
- FeatureDeckCondensedTrial-LightItalic
- FOTMakingmiracles
- GaramondITCbyBT-LightCondItalic
- Gliko Modern Narrow S Light Italic
- ITC Garamond Standard Lt Cn It
- Leitura-Italic 1
- Making Great
- Makingmiracles
- MdN FINESTOROKES
- MikawayBQSCCond-LightItalic
- NAOMI Medium
- Pahin Trial Text Medium Italic
- Pahin Trial Text Regular Italic
- PP Right Gothic Light
- PP Right Serif Light Italic
- Publico Head Cond App Light Italic
- Publico Head Cond Web Light Italic
- TFRainchkExpanded-Light
- Tiny5 Matrix Regular
- TRJN DaVinci Italic Display
- TRJN DaVinci Italic Display
- WorldwideHeadlineCE-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.