SamsungImaginationCondensed
Similar fonts
- Akrobat-Bold
- Apotek Cond ExtraLight
- Apple Butter
- BaseTwelveSansSmallcaps
- Befold-Regular
- Discover Sans Condensed Bold
- Fabrikat W00 Medium
- Figure Test Condensed Medium
- FSP DEMO - Nmn Mdm Cndnsd Regular
- GC Monza Sans Condensed
- Gonero Light Extra Condensed
- Google Sans Flex Rounded 120pt UltraCondensed Medium
- Handie Cond Bold
- Inconsolata ExtraCondensed SemiBold
- Inconsolata ExtraCondensed SemiBold
- Interstate-RegularCondensed
- InterstateMono-CondensedRegular
- Jerawag Berroys
- KoolikoBoldcond
- Kunst-96Medium
- Liebherr Head Regular
- Nominee Medium Condensed
- Novus-Italic
- Pantograph Trial Condensed Medium
- PHES-MediumExtraCond
- Plaax 5 Trial Regular
- PP Pangram Sans Rounded Slim Semibold
- RetinaMicro-A08
- Satisfactory Mid
- Serca Condensed Medium
- Stiftemon
- UDShinGoCOfizPr6N-DeB
- WT Pantograph Condensed Unlicensed Medium
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.