Batch Tools

Batch Image Resizer

Resize hundreds of images to the same dimensions or percentage in one session.

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

Batch Image Resizer processes folders of images locally and can export results as a ZIP archive when complete. Resize hundreds of images to the same dimensions or percentage in one session.

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

Why you might need it

Batch Image Resizer saves time when resize hundreds of images to the same dimensions or percentage in one session—without desktop installs or mandatory cloud upload.

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

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

Common use cases

  • Upload your image batch
  • Set width, height, or scale percentage
  • Resize All and export as ZIP
  • Use Batch Image Resizer during daily batch workflows on Apex Toolz
  • Bookmark Batch Resizer for repeat tasks your team performs weekly
  • Share the batch-image-resizer URL with teammates who need the same utility

Step-by-step guide

  1. 1Upload your image batch.
  2. 2Set width, height, or scale percentage.
  3. 3Resize All and export as ZIP.
  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 batch 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