Utilities

Image Splitter

Split an image into horizontal strips, vertical strips, or a grid of parts.

Batch ready

The Apex Toolz promise

No Login

100% Free

No Upload

Local Files

Browser-Based

3 min readLast reviewed 2026-07-07

What this tool does

Image Splitter handles this specific image transformation locally with immediate preview and download. Split an image into horizontal strips, vertical strips, or a grid of parts.

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

Why you might need it

Image Splitter saves time when split an image into horizontal strips, vertical strips, or a grid of parts—without desktop installs or mandatory cloud upload.

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

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

Common use cases

  • Upload an image to split
  • Choose horizontal, vertical, or grid mode
  • Download parts individually or as a ZIP
  • Bookmark Image Splitter for repeat tasks your team performs weekly
  • Share the image-splitter URL with teammates who need the same utility
  • Use Image Splitter during daily utility workflows on Apex Toolz

Step-by-step guide

  1. 1Upload an image to split.
  2. 2Choose horizontal, vertical, or grid mode.
  3. 3Download parts individually or as a ZIP.
  4. 4Download or copy the result when processing completes.
  5. 5Clear the workspace after handling sensitive content on a shared machine.

Tips & best practices

  • Sensitive drafts and assets remain in your browser tab for the duration of the task.
  • Related tools in the utility category appear below—chain tasks without re-uploading elsewhere.

Limitations

  • Very large files may stress browser memory—split batches on low-RAM devices.
  • Always verify platform rule changes on official docs—presets approximate common specs.
  • Common mistake — skipping spot-check on the first file in a batch: confirm settings on one sample before queueing hundreds.

Frequently asked questions