Blurhash

> 🖼️ Give your users the loading experience they want.

Install via npm:

``sh
npm i react-native-blurhash
npx pod-install
`

![npm](https://www.npmjs.com/package/react-native-blurhash)
![npm](https://www.npmjs.com/package/react-native-blurhash)

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BlurHash is a compact representation of a placeholder for an image. Instead of displaying boring grey little boxes while your image loads, show a _blurred preview_ until the full image has been loaded.

> The algorithm was created by woltapp/blurhash, which also includes an algorithm explanation.

Expo

- ✅ You can use this library with Development Builds. No config plugin is required.
- ❌ This library can't be used in the "Expo Go" app because it requires custom native code.

Example Workflow








In order to use the Blurhash component, you have to already have a Blurhash string. See the blurha.sh page to create example strings. This is how I use it in my project: A user creates a post by calling a function on my server which expects a payload of an image and some post data (title, description, ...) The function on my server then generates a blurhash from the image in the payload using the C encoder stores the post data (including the generated blurhash string) in my database uploads the image to a content delivery network (e.g. AWS) Now everytime a user loads a feed of posts from my database, I can immediately show a <Blurhash> component (with the post's .blurhash property) over my <Image> component, and fade it out once the <Image> component's onLoadEnd function has been called. Note: You can also use the react-native-blurhash encoder to encode straight from your React Native App!

Usage

The component has the following properties:

















































































Name	Type	Explanation	Required	Default Value
blurhash	string	The blurhash string to use. Example: LGFFaXYk^6#M@-5c,1J5@or[Q6.	✅	undefined
decodeWidth	number	The width (resolution) to decode to. Higher values decrease performance, use 16 for large lists, otherwise you can increase it to 32. See: performance	❌	32
decodeHeight	number	The height (resolution) to decode to. Higher values decrease performance, use 16 for large lists, otherwise you can increase it to 32. See: performance	❌	32
decodePunch	number	Adjusts the contrast of the output image. Tweak it if you want a different look for your placeholders.	❌	1.0
decodeAsync	boolean	Asynchronously decode the Blurhash on a background Thread instead of the UI-Thread. See: Asynchronous Decoding	❌	false
resizeMode	'cover' | 'contain' | 'stretch' | 'center'	Sets the resize mode of the image. (no, 'repeat' is not supported.) See: Image::resizeMode	❌	'cover'
onLoadStart	() => void	A callback to call when the Blurhash started to decode the given blurhash string.	❌	undefined
onLoadEnd	() => void	A callback to call when the Blurhash successfully decoded the given blurhash string and rendered the image to the <Blurhash> view.	❌	undefined
onLoadError	(message?: string) => void	A callback to call when the Blurhash failed to load. Use the message parameter to get the error message.	❌	undefined
All View props	ViewProps	All properties from the React Native View. Use style.width and style.height for display-sizes. Also, style.borderRadius is natively supported on iOS.	❌	{}

Example Usage:

`tsx
import { Blurhash } from 'react-native-blurhash';

export default function App() {
return (
blurhash="LGFFaXYk^6#M@-5c,1J5@[or[Q6."
style={{flex: 1}}
/>
);
}
`

> See the [example App for a full code example.












iOS Screenshot	Android Screenshot

$3

If your app is really colorful you might want to match some containers' colors to the content's context. To achieve this, use the getAverageColor function to get an RGB value which represents the average color of the given Blurhash:

`ts
const averageColor = Blurhash.getAverageColor('LGFFaXYk^6#M@-5c,1J5@or[Q6.')
`

$3

This library also includes a native Image encoder, so you can encode Images to blurhashes straight out of your React Native App!

`ts
const blurhash = await Blurhash.encode('https://blurha.sh/assets/images/img2.jpg', 4, 3)
`

Because encoding an Image is a pretty heavy task, this function is non-blocking and runs on a separate background Thread.

$3

If you need to validate a blurhash string, you can use isValidBlurhash.

`ts
const result = Blurhash.isValidBlurhash('LGFFaXYk^6#M@-5c,1J5@[or[Q6.')
if (result.isValid) {
console.log(Blurhash is valid!)
} else {
console.log(Blurhash is invalid! ${result.reason})
}
`

Performance

The performance of the decoders is really fast, which means you should be able to use them in collections quite easily. By increasing the decodeWidth and decodeHeight props, the _time to decode_ also increases. I'd recommend values of 16 for large lists, and 32 otherwise. Play around with the values but keep in mind that you probably won't see a difference when increasing it to anything above 32.

$3

Use decodeAsync={true} to decode the Blurhash on a separate background Thread instead of the main UI-Thread. This is useful when you are experiencing stutters because of the Blurhash's decoder - e.g.: in large Lists.

Threads are re-used (iOS: DispatchQueue, Android: kotlinx Coroutines).

$3

#### Image

A component caches the rendered Blurhash (Image) as long as the blurhash, decodeWidth, decodeHeight and decodePunch properties stay the same. Because unmounting the component clears the cache, re-mounting it will cause it to decode again.

#### Cosine Operations

Cosine operations get cached in memory to avoid expensive re-calculation (~24.576 cos(...) calls per 32x32 blurhash). Since this can affect memory usage, you can manually clear the cosine array cache by calling:

`ts
Blurhash.clearCosineCache()
`

> Note: At the moment, cosine operations are only cached on Android. Calling clearCosineCache()` is a no-op on other platforms.

Resources

* [this medium article. jesus christ amen thanks for that
* Native Modules documentation, especially the Swift part
* This cheatsheet gist thank you @chourobin.
* DylanVann/react-native-fast-image as a reference for native UI modules
* woltapp/blurhash of course