Encode Sans Exp SemiBold
- NameEncode Sans Exp SemiBold
- Family
EncodeSans
- Style
ExpSemiBold
- Added
10 Apr 2026
Similar fonts
- Aeonik Mono TRIAL SemiBold
- Anek Kannada Expanded SemiBold
- APK Sveriga City Bold Trial
- ArtegraSansExtended-BoldIta
- ArtegraSansExtendedAlt-Bold
- BB Noname Pro Medium Italic
- BC Novatica CYR SemiBold Italic
- Carbona Test SemiBold
- Clab-SemiBoldItalic
- Clover Display Bold
- CSAsquintDrawn-Italic
- F37 Blanka Greek Trial Medium
- FK Grotesk Mono Trial Bold
- FrequenzTrial Medium
- FwTRIAL West Bold Italic
- Giukter Medium
- HandelGothicEU Normal
- Optimistic Text Bold
- Panel Sans Bold Italic
- Panell Wide-TRIAL Regular Italic
- PlainMedium-Italic
- Pleasure Inktrap Trial Bold
- ResidenzGroteskTrial-BoldWide
- Rokkitt 600
- Sarmady SemiBold Expanded
- Shuttleblock Test Medium Italic
- Sora SemiBold Italic
- Superheat Trial Medium Italic
- Tourney Expanded ExtraBold Italic
- TT Lakes Neue ExpandedW03DmBdIt
- UniQAIDAR_Pure 001
- Univa Nova Heavy Italic
- Vito Bold Italic
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.