TransmissionSt-100ThinCnd
Similar fonts
- Artegra Sans Cn Thin
- Artegra Sans Cn Thin
- Artegra Slab Condensed Thin
- ArtegraSansCondensed-Thin
- ArtegraSoftCn-Thin
- Ashemore Cond Thin
- AshemoreCondThin
- AshemoreSoftCondThin
- BebasNeuePro-SemiExpLight
- Benton Sans Compressed Extra Light Italic
- Costco Sans Condensed Large App Thin Italic
- DexaProCondensed-Thin
- EstrictaThin
- FSP DEMO - Artegra Soft Cn Thin Regular
- FSP DEMO - Dexa Pro Cn Thin Regular
- FSP DEMO - strd Grtsk Xlt Cn Regular
- Futurama Thin Semi Condensed
- Futurama-SemiCondensedThin
- GC Kohlen Hairline
- GT Flexa Beta v6 Laser Compressed Italic
- GT Flexa Compressed Lazer Italic
- Itaca Condensed Light Italic
- Komplekt 030 ExtraLight Italic TRIAL
- Mozer-Thin
- Mozer-Trial Thin
- Navagio Outline
- Praktika Light Condensed
- Quadro Compressed Trial Thin Slanted
- Rules Condensed Thin
- Rules Slab Condensed Trial Thin
- SkolarSansPECpTEST-ThIt
- Spotify Mix Narrow Greek Thin Italic
- TT Lakes Neue Trl Cnd Th
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.