Tussilago-UltraLight
Similar fonts
- a08d0e719a687f30 - subset of Delvard Disp Std One
- Aloevera display outline Black
- Aloevera outline W05 Regular
- Aloevera outline W05 Thin
- Anybody Wide Thin
- Campeche Thin
- Carlsons-outline
- Favela-Light
- FSP DEMO - Dng Pr Hvy nly Ln Regular
- FSP DEMO - Spck ss lt 1 Thn t Regular
- FSP DEMO - Spock Ess Alt 1 Thin Regular
- GiorgioSans-ThinItalic
- Grtsk Thin Mega Slant
- HD Colton W05 XWide Thin Italic
- Intro Head H UC H1 Shade
- Intro Head H UC H2 Shade
- Kaleko 205 Round W01 Thin
- Macrosoma Gr Semi Condensed Hairline
- Macrosoma Sl Narrow Trial Hairline
- MavenProTwo-LightOne
- Megascope Variable Thin
- Neometric Alt Hairline
- Neometric-HairlineItalic
- Platform-Hairline
- Proximity HLine Light Italic 25
- Proximity HLine Trial Light Italic 25
- Proximity VLine Light 25
- Rawson Alt Thin
- Roclette Pro Line Light
- Spock Ess Thin It
- TT Bricks Hairline Italic
- TT Bricks Trial Hairline Italic
- WyvernUl-Regular
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.