TriplexCondSansRegLin
Similar fonts
- Alt Gothic Cond ATF Med
- AlternateGothicExCondATF-Medium
- Apotek Comp ExtraLight
- Belleville07H FY Bold
- Bigplace ExtBd ExtCond Obliq
- Core Mellow 49 Cp Regular
- CoreMellowCompressed
- F37 Judge Arabic Trial Medium Compressed Italic
- F37 Judge Arabic Trial Regular Condensed
- F37 Judge Cyrillic Trial Medium Compressed Italic
- F37 Judge Cyrillic Trial Regular Condensed
- FSP DEMO - HrkdtlcSmBdltrCnd Regular
- GT Standard S Condensed Medium
- GT Standard S Condensed SemiBold
- GT Standard Trial S Cn Smbd
- Herokid Italic Semi Bold Ultra Condensed
- Kommissar Cond Web Regular Regular
- Monolisk SemiBold
- NaN Success Sans TRIAL Medium
- Netflix Sans UCd Regular
- Owners TRIAL XXNarrow Black Italic
- Owners XXNarrow Black Italic
- PG Gothique Condensed Medium Italic
- Sohne Schmal Test Kursiv
- Starship Bold Inline Grunge
- Steelfish ExtraBold Italic
- SteelfishEb-Italic
- SteelfishRg-BoldItalic
- SwisspoTrial XCn Blk It
- Television Condensed Trial Extrabold Italic
- TriplexCondSansOT
- TriplexCondSansRegular
- VarvaraStar-Light
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.