PanoramaSmCn-UltraBlack
Similar fonts
- Amsi Pro AKS Narrow W03 Ultra
- Anjoman Max A Cn Fat
- Anteb Alt ExtraBlack Italic
- ATGRubrik-CondensedBeta
- CapricaSans
- Center-UltraItalic
- Chevy Sans Narrow Black
- Etnier DEMO Oblique
- Factoria Black
- Factoria Test Black
- Freitag Display XL
- FSP DEMO - Hrkd tlc x Bld Nrrw Regular
- FSP DEMO - Hrkd xtr Bld Nrrw Regular
- Herokid Italic Extra Bold Narrow
- Industry Black
- Loos-CompressedBlack
- National Champion Cut
- National Champion Cut Light
- Neuron-Black
- NeuronBlack
- Quan Rounded Black
- Sharp Grotesk Black Italic 17 Regular
- Sharp Grotesk Black Itl 17
- Sharp Grotesk PE Trial Black Itl 17
- SharpGrotesk TRIAL BlackItl 17
- SharpGrotesk-Bold18
- Tektur Condensed ExtraBold
- Tektur SemiCondensed Bold
- Tektur SemiCondensed ExtraBold
- Trial-Greisen SemiBold Italic
- TT Lakes Neue Trl Cnd XBd
- Yoshida Sans Black Condensed Italic
- Yoshida Soft Black Condensed Italic
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.