BlurHash

BlurHash

Farouk Nasser
Free

App information

Version
2.0
Download size
16.52MB
First released
2026-01-06
Developer
Farouk Nasser
Bundle ID
com.sportsnewsapps.blurhash
Category
Productivity (96,543)

Screenshots

Screenshots come from the App Store listing. They are shown at full aspect ratio, never cropped. Click to enlarge.

In-App Purchases 6 items · USD

Item

$0USD

Monthly Pro Access

$9.99USD

Premium Monthly

$2.99USD

Premium Weekly

$0.99USD

Premium Yearly

$9.99USD

Weekly Pro Access

$3.99USD

About

From the App Store Source
BlurHash is a powerful and easy-to-use app that converts images into efficient BlurHash codes, helping developers, designers, and creators build faster, smoother, and more professional digital experiences. With BlurHash, you can generate lightweight image placeholders instantly, improving loading performance while maintaining visual continuity across apps and websites. Designed for modern workflows, BlurHash allows you to encode images locally on your device without sending any data to external servers. This offline-first approach ensures maximum privacy, security, and speed. Whether you are working on a mobile application, a website, or a UI prototype, BlurHash gives you complete control over image placeholders without compromising performance or data safety. BlurHash makes image encoding simple and efficient. By converting images into compact text-based BlurHash strings, you can display beautiful blurred previews while full images load in the background. This technique reduces perceived loading time, improves user experience, and minimizes bandwidth usage, especially on slower connections or limited networks. The app supports popular image formats such as JPEG and PNG, ensuring compatibility with most projects. You can preview the original image alongside its generated BlurHash in real time, allowing you to verify accuracy instantly. Advanced encoding options let you fine-tune output settings to match your design or technical requirements, making BlurHash suitable for both beginners and professionals. BlurHash is optimized for speed and performance, capable of handling large images smoothly without lag. Its clean and intuitive interface keeps your workflow focused and distraction-free, allowing you to generate BlurHash codes in seconds. No internet connection is required, making it ideal for offline work, travel, or secure environments. This app is perfect for app developers who want faster image loading and improved UI performance, web developers looking to reduce page load times, UI and UX designers seeking modern placeholder solutions, and content creators who want efficient image processing tools. BlurHash eliminates the need for third-party services by offering a fully local and secure solution. By integrating BlurHash into your workflow, you save time, enhance user experience, and optimize app performance. The app is built to support progressive image loading techniques widely used in modern app development and web design. BlurHash includes features such as offline image processing, secure local encoding, real-time previews, customizable parameters, multi-format support, and high-performance optimization. It is a reliable image-to-code converter designed for developers, designers, and anyone working with digital images. Keywords integrated for discoverability include BlurHash generator, image encoding, image optimization, offline image tool, image to code converter, placeholder image tool, progressive image loading, secure image encoder, lightweight image placeholders, developer tools, UI UX tools, web design tools, and app development utilities. Terms of Use: https://sites.google.com/view/sports-news-apps1/terms-of-use-eula

FAQFAQPage

Is this app free?

The app itself is free to download, and it has 50 in-app purchase items.

Who made it?

The developer is Farouk Nasser, and the app identifier is com.sportsnewsapps.blurhash.

When was it first released?

It was first released on 2026-01-06, according to our own database record.

Every number in these answers comes from the data shown above on this page.