Rakuten Condensed VF Regular
Similar fonts
- Aeion Mono PERSONAL USE Test Regular
- AspiraXXXNar-Regular
- AttractiveExtraCond Italic
- AudibleSansCondensed-Lt
- Brauer Trial
- Cera Condensed Pro Regular
- ckTrial Fabrikat Kompakt
- Clarimo UD PE Compressed Italic
- Clarimo UD PE XCondensed
- F37 Judge Thai Trial Regular
- F37 Qbik Trial Regular Condensed Rotalic
- FOTSouthFork-CondensedRegular
- FSP DEMO - Fester Variable Regular
- FSP DEMO - nfrm Pr Xcn Rg t Regular
- FSP DEMO - Rc Grtsk Cndnsd Regular
- FwTRIAL Pangea Text XCond Italic
- Geon Condensed
- Hopkinson-Regular
- Inconsolata ExtraCondensed
- Inconsolata ExtraCondensed Medium
- Inconsolata ExtraCondensed Regular
- InputSansCompressed Light Edu
- Kids Notes
- OC Highway VAR2 Series 3 G-2
- PHES-ExtraCond
- Refinery 35 Regular
- RF Rufo Semibold Italic
- Rytual ExtraCondensed_Trial Regular
- SF Crater W05 LtUltCn
- Sofia Sans Cond SemiLight
- SohoStd-Condensed
- Spezia Condensed TEST FONT Regular
- Stadtmitte SemiBold Italic
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.