Social Media Tools

LinkedIn Banner Resizer

Resize to 1584×396 px for LinkedIn profile and company banners.

Batch ready

The Apex Toolz promise

No Login

100% Free

No Upload

Local Files

Browser-Based

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5 min readLast reviewed 2026-07-07

What this tool does

LinkedIn Banner Resizer aligns creative assets with platform dimensions and creator workflows. Resize to 1584×396 px for LinkedIn profile and company banners.

Open the workspace, run the task, and export—no desktop installer or cloud queue required.

Why you might need it

LinkedIn Banner Resizer saves time when resize to 1584×396 px for linkedin profile and company banners—without desktop installs or mandatory cloud upload.

Repeatable settings help when you run the same prep step across dozens of assets each week.

Use it alongside other social tools on Apex Toolz to chain convert → resize → compress → publish workflows.

Common use cases

  • Upload one or more images using drag & drop or the file picker
  • Images are smart-cropped to 1584×396 px (cover fit)
  • Download individually or as a ZIP archive
  • Use LinkedIn Banner Resizer during daily social workflows on Apex Toolz
  • Bookmark LinkedIn Banner for repeat tasks your team performs weekly
  • Share the linkedin-banner-resizer URL with teammates who need the same utility

Step-by-step guide

  1. 1Upload one or more images using drag & drop or the file picker.
  2. 2Images are smart-cropped to 1584×396 px (cover fit).
  3. 3Download individually or as a ZIP archive.
  4. 4Download or copy the result when processing completes.
  5. 5Keep originals archived separately from compressed or converted exports.

Tips & best practices

  • Processing runs in your browser—files and text are not uploaded to Apex Toolz servers for storage.
  • Related tools in the social category appear below—chain tasks without re-uploading elsewhere.

Limitations

  • Mobile browsers may throttle background tabs during heavy processing.
  • Automated output should be reviewed before production deploy or client delivery.
  • Common mistake — skipping spot-check on the first file in a batch: confirm settings on one sample before queueing hundreds.

Frequently asked questions