fj Trance Outline
Similar fonts
- Cygnet CF Thin
- Emblema-Shadow2Deco
- Emblema-Shadow2Extraswash
- FSP DEMO - Cygnet CF Thin Regular
- Mahameru Arabic DEMO Thin
- Mahameru Arabic W05 Up Variable
- Mahameru DEMO Thin
- Mahameru W05 Thin
- Mahameru W05 Upright Variable
- Manufaktur Ultra Expanded Light
- Manufaktur-UltraExpandedLt
- MarlynAltFloMediumOutlineItalic
- MarlynFloLightItalic
- MarlynFloOneLight
- MarlynFloOneLightItalic
- NaN SuperX Sans AR VF-PREVIEW Display Thin
- NaN SuperX Sans Display AR VF-TRIAL Display Thin
- NaN SuperX Sans Display AR-TRIAL Thin
- NaN SuperX Sans Display Arabic VF-TRIAL Display Thin
- NaN SuperX Sans Display Arabic-PREVIEW Thin
- NaN SuperX Sans Display VF-TRIAL Display Thin
- NaN SuperX Sans Display-PREVIEW Thin
- NaN SuperX Sans Display-TRIAL Thin
- Popera Regular
- Proximity HLine Regular Italic 75
- Proximity HLine Trial Regular Italic 75
- QType Cond ExtraLight
- QTypePro-CondExtlight
- Simple House
- Tafel Sans BC ExtraLight
- Tilt Prism Regular
- Tilt Prism Regular Variable
- Vtks Propolis
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.