FSP DEMO - Grllmstr SmWd Blck Italic
Similar fonts
- ABC Helveesti Spikes Heavy
- ABC Helveesti Spikes Trial Heavy
- Anek Bangla SemiExpanded Bold
- ArtegraSansExtended-BlackIta
- CCResistanceIsLowered Regular
- Costco Sans Bold
- Costco Sans Bold Italic
- Costco Sans TT Bold
- DexaRound-BoldItalic
- DretchBold
- EK Modena Mono Test Bold
- EquipSlab-ExtraBoldItalic
- Fagun Test ExtraBold
- FOTGalaviaBold
- FSP DEMO - Hls ntq Blck tlc Regular
- FSP DEMO - rtgr Sns x Blck Italic
- Indiana Bold Italic
- Jechro Semi Bold Italic
- Malik Trial Bold
- Micro_Trial Bold
- neue Serie57 Trial Black Italic
- Nunito Sans 10pt ExtraBold Italic
- Onsite Extended_STJ3 Bold_190
- Pastme Rounded
- Performa Wide ExtraBold Italic
- Pilat Extended Test Bold
- RauschenTrial A Bold Italic
- RFDewi-Black
- Saira Bold Italic
- Sprint Sans Ofc Bold Italic
- Test Founders Grotesk Bd It
- Trevia Groteska ExtraBold-Italic
- ZintolBoldwide
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.