Azeret Mono VF Italic
Similar fonts
- Aalto Sans Pro UltraLight
- Aestetico Informal ExtraLight It
- Azeret Mono-TRIAL Thin Italic
- Azeret SemiMono-TRIAL Thin Italic
- Bagoss Extended VF
- BBVA Web Light Italic
- Beatrice Unlicensed Trial Thin Italic
- Coolvetica ExtraLight Italic
- CoreSansN25ExtraLight-Italic
- CoreSansNR25ExtraLt-Italic
- ES Park TRIAL Thin Italic
- FenomenSlab-Thin
- FSP DEMO - Cmplr Lght tlc Regular
- FSP DEMO - Dillan Ultra Light Italic
- FSP DEMO - ltSnsssntlltrLghtt Regular
- FSP DEMO - rtgr Sns SC Lght Regular
- FT Blank Mono Trial Thin
- Geon Soft ExtraLight Italic
- Graftyne Display Thin SemExp
- Haltto Light
- Halvar Mittelschrift Thin SuperSlanted
- Halyard Micro ExtraLight
- IDSansRound-Thin
- KamberThinItalic
- Pathway Extreme 36pt Thin Italic
- ResidenzGrotesk-Light UnlicensedTrial
- ResidenzGrotesk-MonoLight
- ResidenzGrotesk-MonoLight UnlicensedTrial
- Sigma-Oblique
- Speedee Light
- Sprint Sans Light Regular
- TRY Grtsk ExtraLight Backslant Regular
- Work Sans Light Italic
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.