Anchor-Medium
Similar fonts
- Agenda One Compressed Bold
- Agenda One Compressed Bold Italic
- Agenda-UltracondensedBold
- Alt Gothic ExCd ATF Bold
- AlternateGothicCondATF-Demi
- Antenna Serif Compressed Bold Italic
- Antenna Serif Compressed Bold Italic Trial
- AntennaSerifCompressed-BdIt
- Athletic Pro Black
- Def Sans Cond ExtraBold Italic
- FF Good Pro Comp Ultra Italic
- FF Good Pro XCond Bold
- Firlest
- FSP DEMO - Hrkd Sm Bld Cndnsd Regular
- FSP DEMO - Rc Grtsk Cmprssd Bold
- GL Bader Compress Black
- GT Flexa X Cm Bd It
- GT Flexa X Compressed Bold Italic
- GT Standard Trial S Cn Bd
- GT Standard Trial S Cn Hv
- Herokid Semi Bold Condensed
- KarepeFX-Bold
- Mouse Memoirs Regular
- Mouse-Memoirs
- Oswald
- Panell Compressed-TRIAL Regular
- Resolve Sans W05 Extrabold Cn
- Roc Grotesk Compressed Bold
- SchmalhansOT-Xbold
- Solido Compressed W00 Medium
- TabletGothicCompressed-Bold
- TRIAL Stratum1 Condensed Medium
- TT Octosquares Compressed Medium
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.