ClanOT-CompNews
Similar fonts
- Action Cond Light Web Grade 3 I
- ActionCondensedLight-Grade3It
- ActionCondLightTrial-Grade3
- ActionCondRegularTrial-Grade1
- ActionCondRegularTrial-Grade1Italic
- Anormal Sans TRIAL ExtraLight Condensed
- CONQUEST
- CONQUEST Regular
- CONQUEST Slab serif Regular
- DharmaSlabC-BoldItalic
- FSP DEMO - Plt Sft SmLght Regular
- Gothiks Condensed Light Regular
- ImpastoLight-ExtracondensedReg
- KommissarXCondTrial-Light
- Magno Sans Variable
- Polate Soft SemiLight
- Sharp Grotesk Bold Italic 06
- Sharp Grotesk Bold Italic 07
- Sharp Grotesk Cnd Book
- Sharp Grotesk PE Black Itl 05
- Sharp Grotesk PE Trial Book 10
- SharpGrotesk BlackItl Unlicensed Trial 05
- SharpGrotesk BoldItl Unlicensed Trial 06
- SharpGrotesk TRIAL BlackItl 05
- SharpGrotesk TRIAL BoldItl 07
- SharpGrotesk TRIAL Book 11
- SharpGrotesk-BlackItalic05
- SharpGrotesk-BoldItalic07
- TT Bluescreens Trial Light
- TT Bluescreens Trl Light
- Verbatim Condensed Oblique
- Workhorse Gothic 1 Test Condensed Book
- Workhorse Gothic 2 Test Condensed Book
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.