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Generate placeholders for any image instantly// create tiny placeholders for lazy-loading
Generate tiny blurred image placeholders for lazy-loading. Create Base64 BlurHash, LQIP, and SVG placeholders to prevent layout shift instantly.
Drop image here or click to upload
JPG, PNG, WebP, GIF — max 10MBUpload an image to start
Generate placeholders for any image instantlyDrag and drop or click to upload any JPG, PNG, WebP, or GIF image.
Choose placeholder type, set thumbnail dimensions, and adjust blur amount and quality.
Copy the generated HTML, CSS, or JS snippet and integrate into your project.
A blur placeholder is a tiny, heavily compressed or blurred version of an image shown while the full image loads. It prevents layout shift and improves perceived performance — a key metric for Core Web Vitals (CLS). Techniques include LQIP (Low Quality Image Placeholder), BlurHash, and SVG-based gradient placeholders.
LQIP stands for Low Quality Image Placeholder. It's a technique where a tiny, heavily compressed version of your image is loaded first as an inline Base64 string, then replaced with the full-resolution image once it loads. This prevents layout shift and gives users instant visual feedback.
Typically 20–60px wide is ideal. The placeholder should be small enough to encode as a tiny Base64 string (under 1–3KB) but large enough that the blur effect looks smooth when scaled up with CSS. A 40×30px placeholder is a popular sweet spot.
LQIP generates an actual tiny image (Base64 JPG/PNG) that is blurred via CSS. BlurHash is an algorithm that encodes an image as a short string of text (~20–30 characters) which is decoded client-side to produce a blurred preview. BlurHash strings are smaller but require a JavaScript decoder library.
Yes. A single dominant color placeholder sets the correct aspect ratio space before the image loads. While less detailed than a blurred preview, it's the smallest possible placeholder (just a CSS background-color) and is used by sites like Pinterest and Google Images.
Using blur placeholders directly improves your Cumulative Layout Shift (CLS) score — a key Core Web Vitals metric. By reserving space for images before they load, you eliminate the visual "jump" that penalizes CLS. It also improves Largest Contentful Paint (LCP) perceived experience.
SVG Gradient extracts 4–9 dominant colors from your image and creates a smooth SVG gradient that approximates the overall color composition of the image. It's larger than a dominant color but smaller than a LQIP, and renders without any JavaScript.
Absolutely. Next.js has built-in blurDataURL support that accepts a Base64 LQIP string. Gatsby provides gatsby-plugin-sharp which generates similar placeholders. The raw Base64 output from this tool is directly compatible with Next.js Image component's placeholder="blur" prop.
No — all image processing happens entirely in your browser using the Canvas API. Your images are never uploaded to any server. This means it's completely private, fast, and works offline after the page loads.
A Blur Placeholder Generator is a developer tool that creates tiny, blurred preview images used as placeholders while full-resolution images are loading. These placeholders eliminate the jarring "pop" of images appearing suddenly on the page, replacing it with a smooth, progressive reveal that feels polished and intentional. This technique is widely used by major websites including Medium, Facebook, and Google to improve perceived page performance.
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Modern web performance metrics — especially Google's Core Web Vitals — penalize pages that experience layout shift during loading. When images load without reserved space, they push content down the page, creating a poor user experience and a high Cumulative Layout Shift (CLS) score. Blur placeholders solve this problem by reserving the exact dimensions of the final image while displaying a low-quality preview, keeping your CLS score near zero.
Beyond CLS, blur placeholders improve perceived performance — the subjective feeling of how fast a page loads. Even if the actual load time is unchanged, users perceive pages with progressive image loading as faster and more responsive. Studies have shown this perception gap can significantly affect bounce rates and time-on-site metrics.
LQIP is the most widely adopted technique. A tiny version of the image (typically 20–60px wide) is encoded as a Base64 JPG string and embedded directly in the HTML as the src attribute. When the full image loads, JavaScript replaces the src. Because the Base64 data is inline, there are zero additional HTTP requests for the placeholder itself, making it extremely efficient.
Similar to LQIP but uses PNG format with a higher degree of blur applied before resizing. The result is a softer, more abstract preview that works especially well for photography. The blur is applied via the Canvas API before encoding, producing a dreamy, out-of-focus aesthetic that scales beautifully with CSS.
Instead of encoding pixel data, this approach samples the dominant colors from regions of your image and constructs an SVG <linearGradient> or <radialGradient> that approximates the overall color composition. The resulting SVG can be as small as 200–400 bytes while providing a meaningful color-accurate preview. It requires no JavaScript to display.
The simplest possible approach: extract the single most prominent color from the image and set it as a CSS background-color. This is essentially zero bytes in terms of image data — just a hex color code. Used by Pinterest, this technique is perfect when you want the absolute minimum overhead while still preventing layout shift.
A CSS-only animated gradient that creates a "shimmer" effect — a horizontal light sweep across a gray rectangle. This doesn't represent the actual image at all, but sets user expectations that content is loading. It's commonly used in skeleton screens for apps and dashboards where the exact image content is unpredictable.
The basic implementation pattern is straightforward. You place the Base64 placeholder as the initial src of your image element, set the real image URL in a data-src attribute, and use the Intersection Observer API or a lazy loading library to swap them when the element enters the viewport:
<img
src="data:image/jpeg;base64,/9j/4AAQ..."
data-src="/path/to/full-image.jpg"
class="lazy"
width="800"
height="600"
alt="Description"
>With the native loading="lazy" attribute now supported in all modern browsers, you can even skip JavaScript entirely for the swapping logic — though you'll still want the placeholder to prevent layout shift while the browser decides when to load the image.
Next.js has first-class support for blur placeholders through its <Image> component. You pass the Base64 string as the blurDataURL prop alongside placeholder="blur". Next.js handles the transition automatically. The raw Base64 output from this tool is directly compatible — just copy the value from the RAW tab and use it as your blurDataURL.
For Gatsby, the gatsby-plugin-image system generates LQIP automatically during build time. For manual implementations or non-Gatsby React projects, you can generate the placeholder once (using this tool or a build-time script) and hardcode the Base64 string into your component.
While blur placeholders improve perceived performance, it's worth noting a few tradeoffs. Inline Base64 strings cannot be cached by the browser separately from the HTML — if the same placeholder appears on many pages, it adds to each page's HTML size. For very high-traffic sites, consider generating placeholders at build time and storing them in a CDN-served JSON file rather than inlining them in every HTML page.
The optimal placeholder size depends on your use case. For hero images, a 60px-wide LQIP with 15px of CSS blur works well. For thumbnail grids, 20–30px is sufficient. The diminishing returns curve is steep — going from 40px to 80px roughly doubles the Base64 size while providing minimal visual improvement after CSS blur is applied.
All modern browsers support the Canvas API used for client-side placeholder generation. The CSS filter: blur() property used to display the placeholder is supported in all browsers released after 2015. For legacy IE support (if still required), you can fall back to a simple dominant color background or a server-rendered blurred image.
On mobile devices with limited bandwidth, blur placeholders are especially impactful. A 1KB placeholder loads in milliseconds on even the slowest connections, giving users something to look at immediately while the full image downloads in the background.
For production projects, you'll typically want to automate placeholder generation rather than manually creating them one by one. Tools like sharp (Node.js), Pillow (Python), or imagemagick can be integrated into your build pipeline. Use this tool for experimentation, prototyping, and verifying your settings before writing the automation script. The code snippets generated here give you a working implementation template to adapt for your specific tech stack.