Development Tools

Screenshot Beautifier

Add padding, rounded corners, shadows, and backgrounds to screenshots.

Batch ready

The Apex Toolz promise

No Login

100% Free

No Upload

Local Files

Browser-Based

5 min readLast reviewed 2026-07-07

What this tool does

Screenshot Beautifier outputs copy-ready CSS or config snippets you paste into repos or design systems. Add padding, rounded corners, shadows, and backgrounds to screenshots.

Bookmark this tool when you need a repeatable workflow instead of hunting through a general-purpose editor.

Why you might need it

Screenshot Beautifier saves time when add padding, rounded corners, shadows, and backgrounds to screenshots—without desktop installs or mandatory cloud upload.

Local processing keeps confidential visuals, documents, and copy in your browser session.

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

Common use cases

  • Upload a raw screenshot
  • Adjust padding, radius, shadow, and background
  • Download a polished PNG
  • Use Screenshot Beautifier during daily development workflows on Apex Toolz
  • Bookmark Screenshot Beautifier for repeat tasks your team performs weekly
  • Share the screenshot-beautifier URL with teammates who need the same utility

Step-by-step guide

  1. 1Upload a raw screenshot.
  2. 2Adjust padding, radius, shadow, and background.
  3. 3Download a polished PNG.
  4. 4Download or copy the result when processing completes.
  5. 5Keep originals archived separately from compressed or converted exports.

Tips & best practices

  • Sensitive drafts and assets remain in your browser tab for the duration of the task.
  • Related tools in the development 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