SuomiSans-Bold
Similar fonts
- Answer 3D Filled Regular
- asse Regular 7
- AudibleSansNarrow-Bl
- Barlow Semi Condensed Black Italic
- Bw Modelica Black Ultra Condensed
- CCBackBeat Tight Bold Italic
- Conduit Pro ExtraBold
- Darwin Ess Alt Rd Black
- Darwin Ess Rd Bold
- Darwin-Black
- DraftE-ExtraBold
- Dx Wideground Regular
- EstrictaBlack
- Fort Cond Extrabold Italic
- FSP DEMO - sclBlckSlntdCndnsd Regular
- Glancyr Neue Condensed Oblique
- Industry-Bold
- Italian Plate No2 Black Italic
- Italian Plate No2 Mono Extrabold
- KlavikaBold-BoldOSF
- nd Amarta Text Test Bold
- NoyhSlim-Heavy
- NoyhSlimRHeavy
- Panton Narrow Black Italic
- Panton Narrow-Trial Black Italic
- Panton-ExtraBold
- PlanerTrial ExtraBold
- Proxima Soft ExCn Black
- Reddit Sans Condensed Black
- RetinaNarrow-Black
- RueDisplay-Bold
- RueDisplay-BoldItalic
- TTOctosquaresCond-DBold
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.