MilligramCondensed Medium
Similar fonts
- Anek Kannada SemiCondensed Medium
- Chevy Sans Condensed Demi Italic
- Clarimo UD PE XCondensed DmBd
- FedraSansCondStd-Medium
- FestivoLCBasicLLine
- Fidelity Slab Condensed SemiBold
- Ford Antenna ExtraCond Semibold Italic
- FSP DEMO - Prxm Nv xCn Smbld Regular
- FSP DEMO - RW Dck Cnd Sm Bld Regular
- FSP DEMO - Styling Bold Italic
- Germania One Regular
- GL Bader Narrow Bold
- Google Sans Flex Rounded 9pt SuperCondensed Medium
- HeadingNow 495 Cond Medium Ita
- HeadingPro-BoldItalic
- Loos-CompressedRegular
- Mohave SemiBold Italic
- Multiflex Compact Trial SmBold
- Nasional Sans Medium
- OE Meoded Pashut Condenced Pro Bold
- PannoText-SemiBoldItalic
- ProximaSoftExCn-DemiBold
- RB Rational Neue Condensed SemiBold
- RB Rational Neue Condensed Test SemiBold
- Renew 55 Narr Medium Ita
- RonniaCond-Regular
- Routine Trial Bold Condensed Italic
- Salad Trial Bold
- TAKE CUTE
- Trial Figura Medium Condensed
- VC Nudge Trial Bold Italic
- VistaSansNarOT-MediumItalic
- Yoshida Sans Medium 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.