FSP DEMO - Number5Reg Regular
Similar fonts
- Action Cond Bold Grade 3 Italic
- Action Cond Bold Web Grade 3 It
- Action Cond Medium Web Grade 3
- ActionCondensedBold-Grade3
- Antic Test Narrow Heavy
- Beachwood Variable XTall SemiBold
- BitcrusherCpRg-Bold
- Champion-Featherweight
- Champion-HTF-Featherweight
- ChampionGothic-Featherweight
- DaBronx Sans Medium
- ESPN Pro Loud Medium
- Fixture Condensed Medium
- Flama Ultra Condensed Bold
- Flama UltraCond Trial Bold
- Flama UltraCond Trial Semibold
- FSP DEMO - Bchwd XTll SmBld Regular
- Kommissar XCond Medium Regular
- Konsumed Compressed
- LargePoint Black
- Lektorat Compressed Bold
- Lektorat Compressed Extrabold
- Recent Grotesk Regular
- Rhododendron Regular
- RhododendronVariableExtenders
- Rhody Light Regular
- Smithee Extra Condensed TRIAL Medium
- Sohne Schmal Test Regular
- SohneSchmal-Halbfett
- SohneSchmal-HalbfettTest
- Sons Condensed Semibold
- TT Bluescreens Trial Bold
- TT Tunnels Bold
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.