Documan STC Lazer
Similar fonts
- Attila Sans Sharp Basic Hairline
- Attila Sans Sharp Trial Hairline
- Boulder Mono Thin Italic
- BoulderMono-ThinItalic
- BRONGGEDUNY-Outline
- Desire Lowercase 3
- Desire-Lowercase3
- DesireLowecase3
- DesireLowercase-3
- Documan CNT TRIAL Lazer
- Documan CNT VF-TRIAL
- Documan CNT-TRIAL Lazer
- Documan STC Lazer
- Documan STC VF-TRIAL
- Documan STC-TRIAL Lazer
- Hestrial Outline Regular
- K Attila Trial 10 Hairline
- Orelo Expanded Trial Thin
- Orelo Extended Trial Thin
- Orelo SemiWide Hair
- Orelo SemiWide Hair Italic
- Orelo SemiWide Hair Italic
- Orelo Standard Trial Thin
- Orelo Wide Hair
- Orelo Wide Hair Italic
- RosttelSwashInLine
- Sirenik Regular
- SP_Bow CoDr
- SP_Phrao CrRd
- SP_Ribbon WbDr
- The Letters TRIAL Boulder Mono Thin Italic
- Workhorse Nouveau Stencil Test Hairline Med
- Workhorse Nouveau Stencil Test Thin Med
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.