AinslieSlab-ExtRegIt
Similar fonts
- AauxNextComp-LightItalic
- ABC ROM Wide Trial Light Italic
- Ainslie Sans Ext Regular Ital
- Albra Grotesk Light Italic TRIAL
- AtlasGroteskLCTrial-LightItalic
- BPscript
- Callum-CondensedItalic
- ChiswickGrotesqueTrial-LightItalic
- Executive Trial Light Italic
- Executive-46LightIt
- F37 Ginger Round Light Italic
- Fold Grotesque Trial Light Italic
- FolioLtEU Normal
- FOTEliva-CondensedRegular
- FOTScrapbookCurls-ExtraCondBold
- FSP DEMO - Quickflio Light Italic
- Haboro Slab Ext Regular Italic
- HS Wamda Light
- Jornada Sans Light
- Lab Grotesque TRIAL Light Italic
- Letter Gothic Slang Txt OT W03
- LFS Adelia Light
- Maiandra GD Italique
- Marcel Thin
- Metallophile Sp8 Light Italic
- Nunito Sans 10pt Expanded Light
- Nunito Sans 10pt SemiExpanded Light Italic
- Prompt Light
- Register Serif BTN SC Bold Oblique
- SkolarSansLatnCp-Lt
- SkolarSansLatnCp-LtIt
- Test Founders Grotesk Cnd Lt
- Test Founders Grotesk Mono Lt
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.