ClanCondBaltOSF-Thin
Similar fonts
- BRANCHE Outline
- Clan Offc Cond Thin
- ClanOT-CondThin
- Darc-Inline
- DSertAlt-Thin
- Extenda Trial 10 Pica Backslant
- FL Art Grotesk DEMO Tight Thin Italic
- FL Science Sans DEMO Tight Thin Italic
- FSP DEMO - Seriguela Thin It Regular
- FSP DEMO - Srgl Dsply Thn t Regular
- Georama Condensed Thin Italic
- Heading Now W05 31 Thin Italic
- HeadingNow 21 XComp Thin Ita
- HeadingNow 31 Comp Thin Ita
- HeadingNow Trial 31 Thin Italic
- Headlines Variable Roman W05 Rg
- Headlines W05 Thin
- Isidora Alt Thin Condensed
- Norbert Schmal DEMO Mager Kontra
- Norbert Schmal Mager Kontra
- Norbert Schmal Mager Kursiv
- Obviously Condensed Thin
- Obviously Condensed Thin Italic
- Obviously Demo Condensed Thin
- ObviouslyCond-ThinItalic
- Seriguela Display W05 Th Rev It
- Seriguela Display W05 Thin It
- Seriguela W05 Thin It
- Sharp Grotesk PE Trial Thin Itl 10
- Sharp Grotesk PE Trial Thin Itl 11
- Sharp Grotesk Thin Italic 11
- SharpGrotesk ThinItl Unlicensed Trial 11
- SharpGrotesk TRIAL ThinItl 10
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.