Amsi Pro Narrow
Similar fonts
- adventpro-Bd1
- Always Becoming
- AspiraXXNar-Regular
- Bebas Neue Pro Expanded Regular
- DearSansCondensed-Book
- Figure Condensed Medium Italic
- Figure Narrow Regular
- FOTCrenshaw-Bold
- FSP DEMO - Balgin SmCondensed Regular
- Funyard-College
- Inconsolata Condensed Medium
- InputMonoNarrow
- Iosevka NFM Medium Italic
- Iosevka Type Italic
- Iosevka Type Slab Italic
- IosevkaTermSlab NFP Oblique
- JetBrainsMono NF Medium
- Korb-Italic
- M PLUS 1 Code Regular
- Merfolk Typeface Demo
- Messina Sans Condensed Trial Regular Italic
- MilligramTextCondensedTrial Italic
- Million Regular
- neue Vektor A Trial Regular Italic
- Neusa Next Std Condensed Italic
- NotesMono-RegularAltTf
- Radio Canada Condensed Regular
- Serca Text
- Serial C SQ Trial Bold
- Serial C Squared TRIAL Bold
- Serial C Squared TRIAL Medium
- VanPro Regular 3
- 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.