DINosaur Sharp Light
Similar fonts
- Arturo-Italic
- Blackbird Test Narrow Light Italic
- BMWTypeNext Latin TT Light
- BMWTypeNext TT Light Bold Italic
- ChevinPro-LightItalic
- DINosaur-Light
- DINosaur-LightItalic
- FOTArturo-Italic
- FSP DEMO - Bion Book Cond Italic
- FSP DEMO - DIN 2014 Light Regular
- Galatea Light Narrow
- GrotaSansAltRd-Book
- GT Pressura Pro M Trial Lt
- Isola SemiMono TEST FONT Book
- Lenia Mono Regular
- ManifaPro2 Regular Italic
- Moderat Trial Condensed Extralight Italic
- Muller Narrow Demo Light
- MullerNarrow-LightItalic
- Muoto Trial Condensed Light Italic
- NaN Hyena Sunrise TRIAL Light
- NaN Hyena Sunset-TRIAL Light
- Newsflash-SemicondensedRegular
- Playpen Sans Light
- PP Pangram Sans Narrow Regular
- Rasane-Light
- SchemeLt-Regular
- SctoGroteskB-Light
- SctoGroteskBDemo-LightI
- Spezia Narrow Ita
- TT Corals Regular
- TT Rounds Neue Trial Light
- WeissenhofGrotesk-Light
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.