DalaFlodaLC-FatItalic
Similar fonts
- AdhesiveNrSeven
- Aleph
- Bern Bern Bold
- Blacker Pro Display Trial Fat Italic
- BN Bungie Clean
- Brolike Regular
- DalaMoaTrial-FatItalic
- Didonesque Poster Italic
- Edie and Eddy Modern DEMO xBold Italic
- Epika_Trial Black Italic
- FSL UYARE COPY RIGHT 800
- FSL UYARE COPY RIGHT 900
- FSP DEMO - Ddnsq Pstr tlc Regular
- FwTRIAL Nice Poster Black Italic
- Gliko Modern Condensed Test L Bold
- Gliko Modern Condensed Test L BoldItalic
- Gliko Modern Test M Black Italic
- Grifito Teste L Black Italic
- Grifo Teste L Black Italic
- Halvar Stencil Mittelschrift Bold MinGap
- Italian Plate No5 Display Black Italic
- KyodaAscher-Italic
- NaN SuperX Serif Display Arabic-PREVIEW Black
- NaN SuperX Serif Display Arabic-TRIAL Black
- NaN SuperX Serif Display-PREVIEW Black Italic
- Obsidian Background Italic
- Poster-DisplayRegularItalic
- PP Right Didone Black Italic
- RecifeDisplay Black Italic
- StagStencil-BoldItalic
- Stanley-StencilRough
- Surveyor Fine Black Italic
- Trial Boldoni Bold
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.