adventpro-Bd1
Similar fonts
- ABC Publisher Rounded Sans Condensed Variable Unlicensed Trial Regular
- Booster Sans Narrow Regular Italic
- CodecPro Condensed Regular
- DINish Regular
- Discover Sans Condensed Semibold Italic
- Enterprise Sans Cond
- FOTDistract-Bold
- FwTRIAL Neue DIN SemiCond Italic
- G2ErikaMonoTrial Medium
- Google Sans Flex Rounded 24pt ExtraCondensed Regular
- Google Sans Flex Rounded 72pt ExtraCondensed Regular
- GothamXNarrSSm-BookItalic
- GT Standard Trial M Nr Lt
- Hansom Slab FY Regular
- Italian Plate No1 Light
- Italian Plate No7 Light
- JetBrains Mono NL Light
- JetBrains Mono Semi Light
- Merfolk Typeface Demo
- Messina Sans Condensed TEST FONT Book
- Messina Sans Condensed Trial Regular Italic
- MisterGiacco Pro Regular
- Netflix Sans App Cd
- Neusa Next Std Condensed Italic
- Radiance Regular Condensed
- SimplonNorm-Regular
- Suburga2-CondensedRegular
- Super Sans Condensed Regular Italic
- TT Octosquares Trl Cnd Lt
- TT Rounds Neue Compressed Italic
- UDShinGoCOsizPr6-Reg
- Uniform Rounded Condensed Regular
- X Shiraz
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.