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Resize an image for a LinkedIn cover

LinkedIn's profile banner is a strange strip: 1584 × 396, a 4:1 ratio that turns most photos into an accidental abstract. Preparing the crop yourself is the difference between a considered banner and a random slice of sky.

The resizer opens preset to 1584 × 396. Cover mode shows exactly which horizontal band of your image survives — adjust or pre-crop with the crop tool until the strip reads well.

Processed locallyIn: PNG, JPEG, WebPOut: PNG, JPEG, WebP

Loading tool…

This is Resize Image preconfigured for this task — open the full tool for every option.

How it works

  1. Select an image to see its current dimensions.

  2. Enter a width/height or percentage, or pick a platform preset (each shows its exact pixels).

  3. Choose fit behaviour: contain, cover (center-crop), or stretch.

  4. Preview the resulting dimensions, then export.

What the tool does

  • Resize by exact pixels, percentage, or preset
  • Contain, cover, and explicit stretch modes
  • Presets for common social and document sizes, labelled with exact dimensions
  • High-quality multi-step downscaling for sharp results
  • Upscale warning before enlarging beyond the source resolution

How the result is verified

The exported image is re-decoded and its pixel dimensions are compared to your requested dimensions before download is offered.

Frequently asked questions

Why does my banner look zoomed-in on LinkedIn?

If you upload a non-4:1 image, LinkedIn scales it to fill the strip and crops the rest. Sizing to 1584 × 396 beforehand means what you preview here is what renders there.

What content works at 4:1?

Wide landscapes, skylines, gradients, and text kept near the horizontal center. Portraits and square compositions fight the format and usually lose.

Understand the format

Technical guidance for choosing settings and reviewing the result.

How to compress an image to a target file size

There is no quality percentage that makes every image exactly 1 MB or 100 KB. A reliable target-size workflow measures real encodes, preserves the best result under the limit, and tells you when resizing is necessary.

8 min read · Reviewed August 2026