Senar SansNormal
Similar fonts
- 0180d196243fb5f8 - subset of Surogat Cond Std Thin
- Albireo Semi Cond Extra Light
- Amarissa
- boniefs-regular
- Bosphorus30ExtraCondensed-31Thin
- DensoSerifLow-Thin
- Dwight ExtraCondensed Thin
- Dwight_TRIAL ExtraCondensed Thin
- FSP DEMO - Albireo Cond ExtLite Regular
- FSP DEMO - Extra Light Ultra Cn Regular
- FSP DEMO - Refinery 25 Hairline Regular
- Gregory Grotesk Compressed DEMO Thin
- Gregory Grotesk Compressed Thin
- Gregory Grotesk Compressed TRY Thin
- Heading Pro Compressed Trial Thin
- Kicker Outline
- Kicker Trial Outline
- MasifaRdUltraCn-ExtraLight
- MasifaUltraCn-ExtraLight
- MilligramCompressed Thin
- MilligramCompressedTrial Thin
- Normal Light
- PostScriptum Light
- Refinery 25 Hairline
- Senar SansNormal
- Senar SlabNormal
- SF Tobba W05 Regular
- Sultan Amer-Qayrawany
- SurogatNarr-Thin
- The Skinny
- White Xmas Color
- White Xmas Red
- WhiteXmasColor-Regular
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.