bcab4a69f72038a4 - subset of Delvard Disp Std Four
Similar fonts
- ArtegraSansExSC-Thin
- Cottorway Typeface Light
- Energize-ThinOutline
- F37 Lineca Cyrillic Trial ExtraThin
- F37 Lineca Cyrillic Trial Thin
- F37 Lineca Cyrillic Trial UltraLight
- F37 Lineca Greek Trial UltraLight
- FSP DEMO - Cmplr Pln xtr Lght Regular
- FSP DEMO - Criteria CF Thin Regular
- FSP DEMO - Konnect Thin Italic
- FSP DEMO - sdr Sns lt Lght t Regular
- GC Gatuzo Thin
- Gear Trial Wide XLight Backslant
- HeadingNow Trial 81 Thin Italic
- Heveria Thin Italic-Trial
- Isidora Alt Light
- Kaleko 105 Light
- La Coffee Outline
- Lineavec
- Montserrat 200
- NTMarleyOutline-Light
- Patefon Light
- QTypeExt-ExtraLight
- RubberEFN
- Sharp Grotesk PE Trial Thin Itl 23
- SharpGrotesk ThinItl Unlicensed Trial 23
- SharpGrotesk TRIAL Thin 21
- SharpGrotesk TRIAL ThinItl 23
- SharpGrotesk TRIAL ThinItl 24
- SharpGrotesk-ThinItalic25
- SmytheSansPro-Thin
- SoularicOutlineBold-Regular
- TRT CENZO DEMO Thin
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.