Stepp ITC Medium
Similar fonts
- Akronim Regular
- AL Milano Condensed Trial Light
- Analogy Light Italic
- Atacama Trial ExtraCond ExtLt
- Atacama-ExtraCondExtLt
- AtacamaBeta-ExtraCondExtLt
- CantoBrushOpen Bold Italic
- CantoBrushOpen Semibold Italic
- CantoBrushOpen-SemiBoldItalic
- Chivels Shadow
- Cordavia Line
- CS Allegory Distort-Regular
- Edict Text Trial Thin Italic
- FH Ronaldson Condensed Test Regular Condensed
- FOTLouda-CondensedBold
- FOTTiptoe-CondensedBold
- Graphite AT Condensed Light
- Henry-Italic
- HenryProNP-RegItal
- Henrytrial-Italic
- Louda-CondensedBold
- New Moment
- Overture Light
- Overture Light Andante
- Rain First
- Rizoma Test M Light Italic
- Romain du Roi ExtraCond ExtLt
- Schneidler CG Italic
- Stantic Two
- Thinble-Bold
- Tiptoe-CondensedBold
- ZT Bros Oskon 90s Medium
- ZT Bros Oskon 90s Regular
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.