BunkenTechSansProWide-Med
Similar fonts
- ABC Repro Medium Unlicensed Trial Medium Italic
- AWS Diatype Rounded Semi-Mono Bold
- Blazhe Italic
- Colby Narrow Medium
- Elza-CondensedMediumOblique
- Enra Sans Variable Medium
- FodaSans W05 Extra Bold obl Rnd
- FSP DEMO - 1906 Frnch Nws Cps BoldItalic
- GermaniaOne-Italic
- Graphik XXCond Medium Italic
- Graviola Soft Medium Italic
- GT Standard S Semibold
- GuardianSansCond-MediumItalic
- InfoText-MediumCaps
- JTMillburn-CondensedSemiBold
- LDSprayStencil
- Minotaur Sans Light Regular
- MM Sign Trial Medium
- Oddity Trial Cond Med Ita
- Optimistic Text Bold
- Panell Wide-TRIAL Regular Italic
- PlainMedium-Italic
- Quay Sans ITC Com Medium Italic
- Resolve Sans W05 SmBd Nrw Ita
- RM Neue Bold Italic
- SancoaleNarrowMediumItalic
- SancoaleSlSf-ConMedIt
- Sora SemiBold Italic
- Superheat Trial Medium Italic
- SVN-Brice SemiCond SemiBold
- UniQAIDAR_Pure 001
- We Benang Script Trial Font Regular
- WP Star 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.