GoodPro-NarrNews
Similar fonts
- AauxNextComp-MediumItalic
- ABC Diatype Condensed Medium
- ABC Diatype Condensed Trial Medium Italic
- ABC Diatype Semi-Mono Condensed Medium Italic
- AR DCCSTMoritaB5 BD
- AyumiPro-MediumItalic
- Cafecoco
- Clearwater-CondensedBold
- CoreMellow-CnRegularItalic
- Costco Sans Condensed Large App Regular Italic
- Costco Sans Condensed Regular
- Costco Sans Condensed TT Regular Italic
- FSP DEMO - Artegra Soft Cn Regular
- GoodPro-NarrNewsItalic
- Graphik Cond Regular
- LFT Etica Condensed
- LimerickCdSerial-Regular
- Marble Text Condensed Medium Italic
- Motorway Italic
- NaN Metrify C TRIAL XCondensed Medium Italic
- Nestle Text TF AR Book Cnd
- Novel Sans Ar Cmp Regular
- PoliticaCondensed-BoldItalic
- Prenton RP Cond
- RB Rational Neue Condensed Test Regular Italic
- SansBeamHead-Italic
- Shuttleblock Condensed Medium Italic
- SundayClarendon-Medium
- Thunder Medium LC Italic
- Truth-Letter
- UnitedSansSemiCond-Medium
- Wida Round SmallCaps Demo Italic
- Zalando Sans Condensed
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.