InputMonoNarrow Medium Testing
Similar fonts
- Asap SemiCondensed Bold Italic
- Baikal Cond Medium
- BierstadtAlt4 Cond Bold
- Blue Lagoon
- Bonnie Condensed SemiBold Italic
- Cadillac Sans Arabic Medium
- Colby Narrow Bold
- Encode Sans ExtraCondensed Bold
- Encode Sans SC Cnd Bold
- F37 Mancunio Trial Extra Bold Italic Condensed
- FSP DEMO - Freigeist Con Bold
- GraphikCondTrial-SemiboldItalic
- GuardianSansCond-SemiboldItalic
- IBM Plex Sans Condensed Bold Italic
- IBM Plex Sans Condensed SemiBold
- Info Text SC Offc Bold Italic
- InputSansCondensed Bold
- InputSerifNarrow Medium Edu
- Mako Round Medium Italic
- MoldrThai-Medium
- Noto Sans Hebrew Condensed ExtraBold
- Omnes Narrow SemiBold
- SafetyText-DemiBold
- Share-BoldItalicOSF
- Solido ExtraBold Italic
- SupriaSans-CondBoldItalic
- UniCredit-Bold
- Unit Offc Bold Italic
- VegaTVSBOP-Regular
- Vito Condensed Black Italic
- VVDS Fifties SCond Med Italic
- Zalando Sans Condensed SemiBold
- ZoneyBoldItalic
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.