Mixtape ExtraCondensed_Trial Thin Italic
- NameMixtape ExtraCondensed_Trial Thin Italic
- Family
MixtapeExtraCondensed_Trial
- Style
ThinItalic
- Added
04 Mar 2026
Similar fonts
- Aago Compressed Hr It
- AudibleSansCondensed-HrIt
- Barland outline
- CCGhostTown Outlaw
- Core Mellow 17 Cn Thin Italic
- Core Sans D 17 Cn Thin W01 It
- DSertAlt-ThinIt
- EK Modena Test Hairline Condensed
- EK Modena TRIAL Hairline Condensed
- Fact Condensed Web Thin
- Fact Web Condensed Thin
- FenomenSans-XCNHairlineItalic
- FSP DEMO - Intro Head B UC H1 Regular
- FSP DEMO - Intro Head B UCL Regular
- Hype 1000 Thin It
- Intro Head B UC L
- Intro Head B UC_FF H1
- Mixtape ExtraCondensed Italic Variable Thin Italic
- Mixtape ExtraCondensed Italic Variable_Trial Thin Italic
- Mixtape ExtraCondensed Thin Italic
- Mixtape Italic SuperVariable_Trial ExtraCondensed Thin Italic
- Nephrite-ThinItalic
- Newbery Sans Pro Cd Thin It
- November Compressed LCG Hairline Italic
- October Comp Pro Hair Ita
- October Cond Pro Hair
- Pangram Sans Compressed Thin Reclined
- Protipo Compact Hl
- RB Rational Neue Condensed Test Thin Italic
- Solido Condensed Hairline Italic
- TTOctas-ThinItalic
- ZT Hoky Thin Condensed Italic
- ZT Hoky Variable Thin Condensed
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.