FOTBlackwoodItalic
Similar fonts
- Altro Serif Trial Extralight Italic
- Arsenica Antiqua Condensed Trial Thin Italic
- BlackwoodItalic
- Bw Pose No 3 DEMO Thin
- Bw Pose No 3 DEMO Thin Italic
- Bw Pose No 3 Thin
- Bw Pose No 3 Thin Italic
- Bw Pose No 5 DEMO Thin
- Bw Pose No 5 DEMO Thin Italic
- Bw Pose No 5 Thin
- Bw Pose No 5 Thin Italic
- Calvino Grande Thin Italic
- Calvino Grande Trial Thin Italic
- CalvinoDisplayItalicVar Regular
- CalvinoGrandeItalicVar Regular
- CalvinoGrandeItalicVarTrial
- Chivels-Alt Chisel Dark
- CS Aither Halfpixel Bottom
- Flecha M ExtraLight Italic
- Flecha Test M ExtraLight Italic
- FOTBlackwoodItalic
- Handjet Rectangle Extrabold
- Lunturan-Outline
- Newsreader 18pt ExtraLight Italic
- Newsreader 20pt ExtraLight Italic
- Newsreader 24pt ExtraLight Italic
- Newsreader Text ExLt It
- Panasea Extra Light Italic
- Ragazzi-CondensedLight
- Romain du Roi Trial XCn Th It
- RotwangPro-Thin
- Teletext Trial Unlicensed Light
- VL Flecha M Extra Light 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.