0aba587b7a045ae0 - subset of Greta Mono Pro Hea
Similar fonts
- ABC Camera Plain Mono Trial Black
- ABC Camera Rounded Plain Mono Trial Black Italic
- ABC Gravity Cyrillic Unlicensed Trial Condensed Italic
- ABC Schengen A Mono Trial Semibold
- Aero Trial-Heavy
- Alright v2 Normal LT Black
- AnNahar-Black
- BaseNeueTrial-WideBlackObliq
- BaseNineSCB
- Coolkit-TRIAL ExtraBold
- Dita Extrabold
- DSariUltraBlack-Italic
- FSP DEMO - Black Obli Italic
- FSP DEMO - ExtBlk SemExp Obli Italic
- FwTRIAL Ika ExtraBold
- Galeana Extended Black It
- Hubot-Sans Black Wide
- Linik Sans Black
- MayberryPro-ExtraboldItalic
- Merriweather Sans Extrabold
- MiloPro-BlackIta
- Mynor Test Black Italic
- Noi Grotesk Flex Bold
- Oddlini-ExtBdSemiCond
- Oddlini-ExtBlkUltExpObli
- Parisine Std Narr Sombre
- Pathway Extreme 28pt ExtraBold
- Phill Large Semibold Slanted
- SF Pro Rounded Heavy
- TT Autonomous Trl Bold
- TT Runs Trial Black
- Venn Ex Trial XBold
- Wincing BRK
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.