MVM-Kaumudi
Similar fonts
- Antique Gothic SemiLight
- DharmaGothicC-RegularItalic
- DharmaGothicRndC-RegularIt
- DharmaSlabC-RegularItalic
- F37 K9 Light Italic
- F37 K9 Round Light Italic
- F37 K9 Round Trial Light
- F37 K9 Round Trial Light Italic
- F37 K9 Serif Light
- F37 K9 Serif Light Italic
- F37 K9 Serif Trial Light
- F37 K9 Serif Trial Light Italic
- F37 K9 Slab Light Italic
- F37 K9 Slab Trial Light
- F37 K9 Slab Trial Light Italic
- F37 K9 Soft Light
- F37 K9 Soft Light Italic
- F37 K9 Soft Trial Light
- F37 K9 Soft Trial Light Italic
- F37 K9 Trial Light
- F37 K9 Trial Light Italic
- F37 K9 Wedge Light
- F37 K9 Wedge Light Italic
- F37 K9 Wedge Trial Light
- F37 K9 Wedge Trial Light Italic
- F37K9-Light Regular
- Gameness Light Italic
- K0VKMLNR Demibold
- MohoFXPro-Light
- MohoProCondensed-Light
- MVM-Kaumudi
- Phill Comp Reg Backslanted
- SF Gothican Condensed Bold
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.