Linja-Outline
Similar fonts
- Action Cond Light Grade 1 Italic
- Action Cond Light Web Grade 1 I
- Action Condensed Light Grade 1 Italic
- ActionCondensedLight-Grade1It
- ClanPro-CompBookIta
- CONQUEST Light Italic
- CONQUEST Light Italic Italic
- CONQUEST Slab serif Light Italic
- Dragon Thin
- Dragon-ThinInktrapAngled
- Gothiks SuperLight Regular
- HeadingNow 03 XTall Book Ita
- Kaneda Gothic Extra Light
- ObviouslyCond-Light
- Pathway Extreme 120pt Condensed ExtraLight
- Pramukh Rounded Light Italic
- Sharp Grotesk Book Italic 06 Regular
- Sharp Grotesk Book Itl 06
- Sharp Grotesk Light Italic 08
- Sharp Grotesk PE Light Itl 08
- Sharp Grotesk PE Trial Book Itl 07
- Sharp Grotesk PE Trial Light Itl 07
- Sharp Grotesk PE Trial Thin 11
- SharpGrotesk LightItl Unlicensed Trial 09
- SharpGrotesk Thin Unlicensed Trial 11
- SharpGrotesk TRIAL BookItl 06
- SharpGrotesk TRIAL BookItl 07
- SharpGrotesk TRIAL LightItl 08
- SharpGrotesk-LightItalic08
- SharpGrotesk-Thin11
- TT Bluescreens Thin It
- TT Bluescreens Trial Thin Italic
- TT Bluescreens Trl Thin It
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.