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Social Media Image Resizer

Crop and resize an uploaded image to a chosen platform’s exact recommended post, story or cover dimensions.

Runs in your browser. Your data is not uploaded.
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Tool guide

What this tool does

Social Media Image Resizer cover-fits and crops an uploaded image to a chosen platform preset’s exact recommended dimensions (Instagram post/story, Facebook cover, X header, LinkedIn banner, YouTube thumbnail and more), centred to minimise awkward cropping, entirely via the Canvas API in your browser.

Every social platform expects a different exact image size for its posts, stories, covers and banners, and uploading an image at the wrong aspect ratio usually means the platform crops it automatically, often awkwardly, in ways you didn’t choose.

This tool resizes and crops your image to a chosen platform’s exact recommended dimensions yourself, centred (cover-fit) so the crop stays sensible, giving you control over what gets kept rather than leaving it to the platform’s own automatic cropping.

How to use Social Media Image Resizer

  1. Upload the image you want to resize.
  2. Choose the target platform format from the preset list.
  3. Compare the original and resized preview.
  4. Download the resized image.

Tips for better results

  • The resize is a "cover-fit" crop: the image scales up to completely fill the target dimensions, then any overflow outside the frame is cropped off, centred, so no empty letterboxing bars ever appear.
  • Because it’s a cover-fit crop, some of the original image’s edges may be cropped away if its aspect ratio differs significantly from the target preset, check the preview carefully before downloading.
  • Wide/narrow source images (a tall portrait photo resized to a wide banner format, for instance) lose the most content at the edges; starting from an image whose aspect ratio is already reasonably close to the target produces a better result.
  • The output is saved as a JPEG at high quality (92%), suitable for virtually all social platform uploads; if you specifically need a transparent background preserved, a different export format would be needed instead.

Common use cases

  • Preparing a photo for an Instagram square post, portrait post, or story at the exact right dimensions.
  • Resizing a photo for a Facebook or LinkedIn cover/banner without the platform’s own awkward auto-crop.
  • Creating a properly sized X (Twitter) header image or YouTube thumbnail from an existing photo.
  • Batch-preparing one source image into several platform-specific sizes by running it through each preset.

Common mistakes to avoid

  • Not checking the preview before downloading; a cover-fit crop can remove meaningful content from a source image whose aspect ratio differs a lot from the chosen target, always confirm the crop looks right first.
  • Expecting a transparent background to survive; the output is exported as a JPEG, which doesn’t support transparency, any transparent areas in the source will be filled in.
  • Starting from a very low-resolution source image and resizing up to a much larger target dimension, which can’t add real detail and will look soft or pixelated regardless of the resize settings.

Frequently asked questions

How does the cropping work exactly?

It’s a centred "cover-fit" crop: the image is scaled up until it completely fills the target width and height, then whatever overflows the frame on the longer dimension is cropped off evenly from both edges.

Will a transparent background be preserved?

No, the output is exported as a JPEG, which doesn’t support transparency; any transparent areas in the source image will be filled in with a solid background.

Is my image uploaded anywhere?

No, resizing happens entirely in your browser using the Canvas API; the image is never uploaded anywhere.

What if the source image’s aspect ratio is very different from the target?

More of the image’s edges get cropped away the larger that mismatch is; check the preview carefully, and consider starting from a source image closer in proportion to your target preset for a better result.

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