BF_TEXT_Bold
Similar fonts
- AbsentGrotesque-Medium
- Aglet Mono Trial Semibold
- AlasTrial Cn SmBd It Contrast
- BlusetH EL Bold Italic
- Bubblegum Sans Regular
- Bw Seido Round Bold Italic
- CCElephantmen Tall Bold Italic
- ColbyNarrow-BlackItalic
- FwTRIAL Change Bold Italic
- Ghumo-SemiBold
- Gothic A1 ExtraBold
- Greed Narrow-TRIAL SemiBold Italic
- HadassaLineProV2 bold
- Kia Bold
- KoHo SemiBold
- Komplekt 060 SemiBold
- Lintel Test ExtraBold Italic
- MikadoBold-Italic
- MultipleSlab Alt III Bold It
- NaN Hyena Sunrise TRIAL SemiBold
- NaN Hyena Sunrise-TRIAL SemiBold
- NaN Hyena Sunset TRIAL SemiBold
- New Cordial Inline Bold
- NewsGothicSHOP-Bold
- NK57MonospaceScEb-Italic
- Onsite Condensed_STJ3 Bold Italic
- Onsite Condensed_STJ3 Bold_165
- Onsite Condensed_STJ3 Medium Italic_145
- Playpen Sans SemiBold
- Rasane-BoldItalic
- SVN-Brice SemiCond SemiBold
- Syke-Bold
- Tallinn Grotesk Trial Bold Mono
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.