MatahariCondensed-700CondBold
Similar fonts
- Advent Pro Expanded Bold
- Advent Pro SemiExpanded Bold
- Apotek Light
- Booster Inktrap Narrow Semibold
- CorsicaLX-SemiBoldCond
- d-LaCruz
- F37 Judge Hebrew Trial Medium Extended
- FOTMangia-CondensedRegular
- Fredoka Condensed Medium
- FSP DEMO - Hrkd Sm Bld Nrrw Regular
- Google Sans Flex Rounded 24pt UltraCondensed SemiBold
- GT Standard Trial L Nr Bd
- HelveticaCY-Bold
- Herokid Semi Bold Narrow
- Hexa Regular
- Knul Test Bold
- Lipa Agate Low Cnd Bold
- Louis Bold Italic Regular
- Monotalic-NarrowMedium
- Muzarela-BoldItalic
- NeusaNextPro-CondMedIta
- Overush Bad Print Regular
- Oxyden Slant
- Politica-ExtraBoldItalic
- Radnika Bold Condensed
- RetinaMPNarrow-Bold
- SamsungImaginationModern-Bold
- Super Sans Condensed SemiBold
- Tevegraphy Bold
- Trunkmill
- UDShinGoCOsizPr6-Hea
- UDShinGoCOsizPr6N-Hea
- UnicodCond-CondMedIta
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.