GimletTextCondensed Medium Regular
Similar fonts
- AriaTextG2-SemiBoldItalic
- Arima Madurai Bold
- Arima Madurai Semi Bold Bold
- Arima SemiBold
- ArimaKoshi-ExtraBold
- Artifex Hand CF Heavy Italic
- ArtifexCFHeavyItalic
- Artigua-Medium
- Baskerville 10 Pro Medium Ita
- Blacker Pro Text Condensed Trial Medium
- Blacker Sans Text Trial Medium Italic
- BlackerProCond Txt Medium Italic
- Cabrito Flare W05 Cond Demi It
- Cabrito Flare W05 Norm ExBd It
- Denton Text Cond Regular
- Denton Text Cond Test Regular
- FarnhamDisplay-MediumItalic
- Fleya Regular
- Fleya Regular Mono
- Formal Serif Eta Semibold Italic
- FSBraboPro-MediumItalic
- FSP DEMO - Mangan Medium Italic
- FZWanBanTiJF
- GimletTextCondensed Medium Regular
- GimletTextCondensed Medium Regular Testing
- JessicaSerial-Medium-Italic
- LucidaBrigNarEFCEOP-DemBolIta
- MessinaSerif SemiBold Italic
- RawlinsonTwoCond-Medium
- RotisSmSn PFL Bold
- Stadio Now Display Italic
- Stadio Now Trial Display Italic
- Test Martina Plantijn Med 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.