Image to Blurhash

Blurhash Generator: Create Compact Image Placeholders Online

This free online tool lets you generate a Blurhash string from any image. All processing happens locally in your browser, so your images are never uploaded to a server. Simply select an image to instantly get its Blurhash hash and see a live preview of the blurred placeholder.

What is a Blurhash?

Blurhash is an algorithm that takes an image and converts it into a short, compact string of characters called a Blurhash. This string represents a blurred small-size placeholder version of the original image. The giga.tools Blurhash generator allows you to create these hashes directly in your browser without needing any software or uploads.

How can I generate a Blurhash online?

You can generate a Blurhash online by using this tool. Just drag and drop your image file into the designated area or click to select a file from your device. The tool will immediately process the image locally and display the resulting Blurhash string, along with a visual preview of how the blurred placeholder will look.

Why use Blurhash for image placeholders?

Blurhash is used to create lightweight, visually appealing placeholders while a full-resolution image is loading. Instead of showing a blank space or a generic loading icon, you can display a soft, blurred preview that hints at the final image's content and color scheme, improving the user experience on your website or app.

What are Blurhash components (x and y)?

Blurhash components determine the level of detail in the generated placeholder. The 'x' component controls the horizontal detail, and the 'y' component controls the vertical detail. Higher numbers result in a more detailed (and longer) hash string, while lower numbers create a more abstract, softer blur. This tool lets you configure both components to find the right balance.

Can I see a Blurhash example?

This tool provides a live Blurhash example with every image you process. Once you select an image, it not only generates the hash string but also renders a preview thumbnail right next to it. This allows you to see exactly how your Blurhash will appear before you use it in your project.

How does the giga.tools Blurhash generator work?

Our generator uses the Blurhash algorithm client-side to analyze the colors and composition of your selected image. It encodes this information into a compact string according to the Blurhash specification. You can upload an image, and the tool will instantly output the hash and a rendered preview without any server interaction.

Is this Blurhash generator free to use?

Yes, this Blurhash generator is completely free to use. There are no sign-ups, no usage limits, and no watermarks. You can generate as many Blurhash strings as you need for your personal or commercial projects.

How do I choose the right number of components?

For most use cases, a component count between 3 and 5 for both x and y provides a good balance of detail and compactness. A 4x3 (x=4, y=3) configuration is a common starting point. Experiment with the component sliders in our tool to see how they affect the preview and choose the values that best fit your design needs.

How do I create a Blurhash from an image file?

To create a Blurhash from an image file, simply select your JPG, PNG, WebP, or other standard image file using the input on this page. The tool will automatically read the file and generate the corresponding Blurhash string for you to copy.

What is the output of the Blurhash generator?

The primary output is a short string of characters, such as LGF5?xYk^6#M@-5c,1J5o~=|+b=c. This string contains all the information needed to render the blurred image placeholder. Our tool provides this string in a convenient text box so you can easily copy and paste it into your code or website.

How do I use a Blurhash hash in my web project?

Once you have generated a Blurhash string, you can use a Blurhash decoding library in your website or application. These libraries are available for JavaScript, Swift, Kotlin, and many other languages. You pass the string to the decoder, which then renders the blurred placeholder in a canvas or image element. The blurhash-react library contains a react component for rendering Blurhash Thumbnails. The Image component in Next.js also supports a blurDataURL attribute, for that you first need to convert the Blurhash thumbnail to a data URL. You can even convert the Blurhash value to CSS gradients and show for minimal size. Use the Blurhash to CSS Gradients Converter to try it out and compare image vs css!

Blurhash vs Thumbhash

Thumbhash is a newer alternative to Blurhash, designed to generate more compact and visually accurate image placeholders. The key difference lies in their encoding method. Blurhash encodes image data using DCT components, which can sometimes result in color bleeding or artifacts. Thumbhash encodes a small, representative color palette directly into the hash, often leading to placeholders that better preserve the original image's color and structure. As a result, Thumbhash can produce higher-fidelity previews with a smaller data footprint, making it an efficient evolution of the placeholder concept pioneered by Blurhash. Use our ThumbHash generator tool to compare both.