Squad Goals
Similar fonts
- Always Becoming
- AntennaSerifCond
- Apercu Condensed Italic
- Argumentum Regular
- Barlow Semi Condensed Medium
- Bonnie Condensed Medium
- CiutadellaRounded-Regular9
- Comic Relief
- Comic Relief Regular
- FabrikatNormalMedium
- FSP DEMO - Balgin SmCondensed Regular
- FSP DEMO - zmrNrrw-Mdmtlc Italic
- FwTRIAL Pangea Text Cond Medium Italic
- Glancyr Neue Light Condensed
- GT Standard Trial L Nr Md
- InfoCorrespondenceWeb W01 Md
- InfoCorrespondenceWeb W03 Md
- InputMonoNarrow
- Iosevka NFM Medium Italic
- Iosevka NFP SemiBold Italic
- Ioskeley Mono Semibold Semi-Condensed Italic
- JetBrainsMono NF Medium
- Lipa Agate Low Cnd Medium
- NotesMono-RegularAltTf
- Oddlini-RegularCondensed
- Radio Canada Condensed Regular
- RingsideCondensed-MediumItalic
- SF UI Display Condensed Regular
- Sofia Sans Semi Condensed Medium
- TT Supermolot Neue Condensed Medium Italic
- Venacti
- VivalaSansRound-Normal
- WP PlaneBrains 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.