Matria Compressed Test Thin Italic
Similar fonts
- BlueCreek Rounded W05 Th XCnObl
- CoreMellowCondensed-Thin
- Costco Sans XCondensed Large Thin Italic
- DSertAlt-Thin
- Forma DJR Banner Cd Thin It
- FSP DEMO - Hs Sns Cndnsd Thn Italic
- GeogrotesqueXC-ThinItalic
- Georama Condensed Thin Italic
- Headlines W05 Light
- Herokid Italic Thin Condensed
- Herokid Italic Trial Thin Condensed
- MarianinaCnFY-ThinItalic
- MarianinaFY-CnThinItalic
- MarianinaFY-Thin
- Matria Compressed Trial Thin Italic
- National 2 Cmp Thin Italic
- National 2 Compressed Test Italic
- National2Compressed-ThinIt
- National2Compressed-ThinItalicTest
- NewsSansComp Hairline Italic
- NewsSansVar
- Novalion Hairline
- Novel Sans Hair Pro XCmp 18 It
- Panorama Condensed UltraLight Italic
- PanoramaCond-UltraLightItalic
- Picador Sans Test ExtraThin
- Poool Outline
- Science Gothic Oblique UltraCondensed Thin
- Test National 2 Cmp Tn Italic
- Test National 2 Cmp Tn Italic
- Test National 2 Cp Thin Italic
- Vanilla Grotesque Display Test 210
- Workhorse Gothic 2 Test Condensed Extra Light Reverse
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.