FFF Minnerva Hairline
Similar fonts
- Aloevera display outline Black
- AristotelicaSmallCaps-Hairlin
- bianzhidai_noBG Messy
- Fractul-Hairline
- FSP DEMO - Garet Hairline Italic
- FSP DEMO - Termina Thin Regular
- FwTRIAL Hamster Burgundy Thin
- FwTRIAL Hamster VAR Mint Salmon Thin
- FwTRIAL Hamster VAR Orange Pink Thin
- Gear Trial XXWide XXLight
- Grotesk Regular
- Halvar Breitschrift Hairline
- Hamster Colorless VF Thin
- HD Colton Wide Thin
- Human Sans Thin
- Kaleko 205 Round W01 Thin
- Kalnia Glaze SemiExpanded Thin
- MADEOuterSansOutline-Thin
- Mild Breeze Thin
- Mont_Trial Thin Italic
- Mont-Trial Thin Italic
- Neometric Alt Hairline
- Neometric-HairlineItalic
- PingLCG-Hairline
- Platform-Hairline
- Prisma Trial TT One
- Prismaset One
- Supera Gothic Thin
- TRY Grtsk Thin Tera Regular
- Virgo Hairline
- Visia Pro Regular Outline
- WT Velo Unlicensed Thin
- Yadon Outline
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.