Rebound Regular Outline
Similar fonts
- Axiforma-Thin
- BC Ludva TEST Thin
- Bellota Text Thin
- BentonSansComp-ThinSC
- Bombastic Outline Round
- Config Condensed Thin
- Feature Mono
- FSP DEMO - Bion Hairline Cond Regular
- FSP DEMO - Bion Thin Cond Italic
- FSP DEMO - lltrp xCndnsd Thn Italic
- FSP DEMO - Peridot LT Cond Thin Regular
- Hedra ExtraLight
- Howli Layers Inline
- Kaleko 105 Light
- LEMON MILK Pro FTR UltraLight
- Madani Arabic DEMO Thin
- Mont ExtraLight
- NBC Tinker Thin
- Nexagon Thin PERSONAL USE Regular
- P22Eaglefeather-SCLt
- PHES-ExtraLightExtraExpanded
- Polin Condensed Hairline Italic
- PP Supply Sans Variable
- QTypeExt-ExtraLight
- Queens-Thin
- Refinery 75 Hairline
- SC Walla Unlicensed Trial Thin Italic
- SHARY LINE Black
- Silly Kids Outline
- Sofia Sans Extra Cond Thin
- SoularicOutlineBold-Regular
- Television Ultrawide Trial Thin
- Virtuous Slab Thin
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.