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A+ Image Auto-Splitter

In one line: One A+ long image in, a numbered zip of ready-to-upload module files out — detected automatically, adjustable by hand, cropped entirely in your browser.

Why automate this

Amazon A+ pages are built from multiple modules, but image-generation tools hand back one long image. Uploading it means cropping each module by hand and matching sizes — five or six crops per image, easy to cut crooked or at the wrong size.

This tool scans the long image row by row for the solid-color gap bands between modules and cuts through the middle of each one.

Steps

  1. Open https://www.niceggie.com/en/tools/aplus-splitter
  2. Choose the long image — upload a single JPG / PNG, drag it onto the page, or load the sample to try it first
  3. Automatic detection — gap bands are found and cut, with a detection-quality note (high / fair / low) and the reason
  4. Fine-tune by hand — click to add a cut, drag to move it, × to delete; the result panel updates live
  5. Export the zip — files are numbered in order, ready to upload to Amazon A+ one by one

Detection needs gaps

Detection relies on whitespace existing between modules. Seamless joins, or large whitespace inside a module, can throw it off — that is exactly what manual add / drag is for, and manual placement always works.

What you get

  • Original format preserved: PNG sources are cropped losslessly; JPG sources are re-encoded at high quality (JPEG is lossy by nature, so byte-exact losslessness isn't possible there)
  • Pixel-exact cropping only — no extra compression
  • Numbered zip so module order matches the page layout
  • Local processing: the image never leaves your browser, and closing the tab clears everything

FAQ

How does it detect module boundaries?

A+ long images usually have a solid-color (often white) gap between modules. The tool scans row by row for rows that are nearly one color, filters out gaps that are too narrow or too wide, and cuts through the middle of what's left — so it's most accurate when modules actually have whitespace between them.

What if detection isn't accurate?

There's nothing to tune. Internally several detection strictness levels are tried and the best one is kept, with a quality note and reason. If the result isn't right, click to add a cut, drag to align it, or click × to delete one; you can also re-detect or clear all cuts and start over.

What if modules are joined with no gap at all?

With no whitespace there's no gap to detect, so automatic detection may find zero cuts. Just click the image to add a cut line at each module boundary — manual placement works with or without a gap.

Does splitting reduce image quality?

As little as possible: PNG sources are cropped losslessly, JPEG sources are re-encoded at high quality. Only pixel-exact cropping is applied, with no extra compression.

Is my image uploaded to your servers?

No. Detection and cropping happen entirely in your own browser — not a single byte of your image leaves your computer.

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