Expand Image Canvas & Pad Without Cropping

Make product photos square for Shopify and Amazon, adapt horizontal clips into 9:16 vertical stories, or format 16:9 YouTube thumbnails without losing fine visual details.

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Drop images or an entire folder here

Supports bulk PNG, JPG, and WebP — Processed in local memory





Platform-Specific Presets

Pre-configured canvas dimensions, background standards, and zoom thresholds tailored for top social platforms and online stores.

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Batch & Folder Processing

Upload hundreds of photos or entire catalog directory structures. Web Workers execute resizing in parallel for instant ZIP download.

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Zero Server Uploads

All canvas rendering, background sampling, and compression execute inside client-side RAM. Your photos never touch external servers.

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Gaussian Blur & Auto Edge Fill

Prevent harsh letterboxing using soft blurred extensions, automated 4-corner color sampling, or pure transparent canvas fills.

Frequently Asked Questions

How does canvas padding differ from standard cropping? +
Standard cropping cuts off the edges of your image to fit a new aspect ratio, often slicing off important product details. Canvas padding preserves 100% of your original image, centers it within your target frame, and fills the empty margins with white, transparent, or blurred extensions.
Are there file size or image upload limits? +
No! Because the engine runs directly inside your device's browser using HTML5 Canvas and multi-threaded Web Workers, you can process high-resolution camera captures and large catalog batches without cloud bandwidth restrictions.
Which export formats are supported? +
You can export your finished images as lossless PNG (recommended for transparent backgrounds and crisp text), standard JPEG (.jpg), or lightweight Google WebP for fast web page loading speeds.