GazBk-Regular
Similar fonts
- AFKlampenborg
- AldoPro-Medium
- CCScoundrel Regular
- ConduitMdSCITC TT
- Core Sans NR 57 Cond Medium
- Fester Bold Italic
- Forta
- FSP DEMO - ddln ltr Cndnsd Regular
- FSP DEMO - Prxm Nv xCn Smbld Italic
- FSP DEMO - Prxm Nv xCn Smbld Regular
- Gineso Cond Demi Italic
- Goodland Condensed Medium Italic
- Google Sans Flex Rounded 9pt SuperCondensed Medium
- Gregory Grotesk Condensed DEMO Medium
- GT Standard Mono Narrow SemiBold
- Hubot-Sans SemiBold Narrow Italic
- Ioskeley Mono NL Medium Condensed Italic
- Loos-CompressedRegular
- Molde SemiCondensed-Medium
- MollenCondensed-Medium
- Noto Sans Lao Looped Condensed Medium
- Open Sans Soft Cd SemiBd Italic
- PannoText-MediumItalic
- PP Pangram Sans Slim Semibold Italic
- Prenton RP Cond
- Ramsey Test ExtraLight
- Ramsey Test Light Condensed Italic
- Saira Condensed Medium
- Sofia Sans Cond SemiBoldItalic
- Stapel Narrow
- Sugo Pro Display Light Italic
- TAKE CUTE
- Ubuntu Sans Condensed Medium
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.