Reviewing images

PackScene never publishes anything to Shopify automatically. The Reviews page is where you decide which images go live and which get retired. This page covers every action you can take in review.

Where to find reviews

In the PackScene admin side nav, click Reviews. You'll see a list of every generation run you've started, with:

• Run ID and date created.
• Status - running, ready_for_review, or accepted.
• Image count - how many AI images this run produced.

Click any run to open it.

What the review page shows

For each product in the run, you see a side-by-side comparison:

• Original packshots on the left (front, and back if you selected one).
• PackScene-generated images on the right (front model image, and back model image if applicable).

If you ran multiple framings for the same product, each framing appears as its own image card. So a product with front + back at full body produces two cards; a product with front + back at full body and upper body produces four cards.

The three actions per product

For each product, you can:

Approve (default)

Doing nothing is approving. By default, every completed image in a run is "approved" - it will publish when you click Publish All. There's no green checkbox to tick.

Don't use

Click Don't use under a generated image to mark it as not-for-publish. The image stays in PackScene's storage so you can preview it, but it won't be uploaded to Shopify when you publish. Useful when:

• Three of four generations look great and one looks off.
• You generated multiple framings and want to keep only one.
• You changed your mind about a product after seeing the result.

You can un-mark by clicking the same image again. The decision is per-image, not per-product.

Rerun

Click Rerun at the product level to regenerate every image for that product. This:

• Uses one regeneration credit per image being regenerated, not generation credits.
• Replaces the previous AI output in PackScene's storage.
• Keeps your packshot selection (no need to re-pick fronts and backs).
• Reruns front first, then back, with the same consistency logic as the original run.

Rerun is the fastest way to fix one off-brand product without touching the rest of the run.

Reviewing a partial run

If your run is large, jobs finish at different times. You can start reviewing the early results while later jobs are still processing. The status pill at the top of the run tells you how many images are done versus still queued.

There's no harm in approving as you go - nothing publishes until you click Publish All at the bottom.

What "ready for review" means

A run flips from running to ready_for_review once every job has either finished or failed. At that point:

• Successful images can be approved or "don't use'd".
• Failed images appear with an error state. You can Rerun the failed product (uses a regeneration credit) once you've checked whether the packshot was valid.

Bulk review

If you have many products and just want to publish the whole run as-is, scroll to the bottom of the run page and click Publish All. Every approved image (everything not marked "Don't use") uploads to Shopify at the position you set when creating the run.

The run state flips to accepted and stops showing up in the active-runs filter.

What if I publish and regret it later

PackScene uploads images as new media on the Shopify product. It does not modify or delete your existing images. If you don't like a published result, open the product in Shopify admin and delete the AI image. Your packshots are unaffected. PackScene's Library page also lets you find every image it has published, indexed by product.

If you want to bulk-clean published AI images you don't want, Easy Image Organizer handles bulk image deletion across many products at once.

What's next

• Publishing to Shopify - the publish step end to end.
• Best practices - how to make this review step shorter every time.