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blurhash
Algorithm developed by Dag Ågren of Wolt that encodes an image into a compact ASCII string representation, typically around 20-30 bytes. This string can be decoded to generate a blurred placeholder image, enhancing the user experience by providing a visually appealing placeholder while the actual image is loading. BlurHash is particularly useful for developers and designers looking to improve the visual aesthetics of image loading in web and mobile applications.
blurhash was discovered on July 5th 2020 and it currently has a search volume of 1.6K with a growth of +2800%.
Growth
- Exploding
- Regular
- Peaked
Speed
- Exponential
- Constant
- Stationary
Seasonality
- High
- Medium
- Low
Volatility
- High
- Average
- Low
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