Instagram and Facebook Shops: Catalog Image Specs and the New AI-Disclosure Label

If you sell on Instagram or Facebook Shops, your storefront images do not come from a random upload folder. They are pulled from a single Meta catalog, and that catalog has its own image rules that decide whether a product shows up cleanly, gets rejected, or looks amateurish next to competitors. Understanding the instagram shopping image requirements before you build your feed saves you from the most common rejection loop: uploading, getting flagged, re-editing, and waiting on review again.

There is also a newer wrinkle. Meta has been expanding how it labels AI-generated visuals across its surfaces, including promoted and shopping content, so the photos you feed into your catalog now carry a transparency dimension they did not a couple of years ago. This guide covers the exact catalog image specs, the primary-image rules, and what the AI-content label means in practice. If you want the bigger picture on why clean, machine-readable product images increasingly drive placement, our breakdown of how product images became a ranking signal pairs well with the technical specs below.

How Instagram and Facebook Shops actually source your images

Both Instagram Shopping and Facebook Shops draw from one shared Meta catalog, so a single set of image specs governs every placement you see. Whether a shopper taps a product tag on a Reel, browses your Shop tab, or sees a dynamic catalog ad, the image is served from the same catalog entry. That unified layer is why you cannot treat Instagram and Facebook as separate image projects, and why the instagram shopping image requirements are, in practice, the Meta catalog requirements.

• Products enter the catalog through a feed file, a partner platform like Shopify, a pixel, or manual upload.
• Each product needs a primary image plus optional additional images for carousels and shop detail pages.
• Meta reviews images against its catalog eligibility requirements before the product can appear or be tagged.

Because the catalog is the single source of truth, a poor primary image does not just look bad in one spot. It weakens every surface at once.

The core Meta catalog image specs

The baseline technical specs are consistent and well documented in Meta's own Business Help Center. Meet these before worrying about styling, because a file that misses them can be rejected outright.

• Minimum resolution: at least 500 x 500 pixels. Meta recommends 1024 x 1024 pixels for better display quality across placements, per its product image specifications for catalogs.
• Aspect ratio: square (1:1) is safest since Shops and feed placements commonly crop to square. Meta supports other ratios in some ad placements, but the catalog primary image should assume a square crop.
• Format: standard web formats such as JPEG and PNG, hosted at a publicly accessible HTTPS URL so Meta can fetch and refresh them.
• File access: the image link must not sit behind a login or a redirect that blocks the crawler, or the product will fail to import.

These are the same fundamentals that carry across major marketplaces. If you also sell on Amazon, our guide to Amazon product image requirements shows how the resolution and clean-background logic overlaps, which lets you produce one master asset set and adapt it per channel.

Primary-image rules: what the main photo can and cannot show

The primary image is the strictest asset in your whole catalog, and Meta is explicit about what belongs on it. The main image should clearly show the entire product on a clean, ideally white or plain backdrop, with nothing layered on top.

• No text overlaid on the product, no calls to action, and no promo codes.
• No watermarks, logos plastered across the image, or placeholder graphics.
• No time-sensitive information such as temporary price drops or sale badges.
• The product should fill most of the frame and be shown accurately, matching the images used for the same product on your website.

Meta's guidance also encourages a fuller set of supporting shots. It recommends including a mix of angles and close-ups of texture or detail, and suggests four or more images when you plan to run carousel ads or sell the item in your shop. The primary stays clean; the additional images do the storytelling. For categories where texture and finish drive the sale, like cosmetics and skincare, the discipline in our beauty product photography guide translates directly into those supporting angles.

The new AI-content disclosure label

Meta now applies an "AI info" label to content when it detects industry-standard AI image indicators or when a creator discloses that the content is AI-generated. This system rolled out broadly across Meta's platforms and has been extended toward promoted and shopping content, which is the part sellers using AI tools need to plan around.

• The label can be triggered by metadata that generative tools embed in a file, or by your own disclosure when uploading.
• According to reporting on Meta's updated ad disclosure tags, AI-involved ads can surface a note within the "About this ad" panel reached through the three-dot menu.
• Meta has indicated that minor edits that do not meaningfully change an image may not receive a label, while more significant AI generation is more likely to.

Meta frames this in its Transparency Center as helping people understand when AI is used to create content. The label is not a penalty, and it does not ban AI-created product imagery. What it does raise the stakes on is honesty: an AI image that misrepresents the actual product invites rejection, returns, and trust problems, regardless of any label. The safe posture is to use AI to produce clean, accurate representations and to keep your catalog image matching the real item a shopper receives.

How to prepare compliant catalog images

Preparing a compliant Meta catalog set is mostly about producing one clean, high-resolution, text-free primary per product and a small library of honest supporting angles. A repeatable workflow keeps you out of the rejection loop.

• Shoot or generate at 1024 x 1024 or larger, square, so you never fall under the minimum after cropping.
• Keep the primary on a plain or white background with the full product visible and no overlays of any kind.
• Strip promo badges, seasonal text, and watermarks from the primary; move any lifestyle context or benefit callouts into secondary images or ad creative, not the catalog primary.
• Host images on stable HTTPS URLs and make sure your feed image link is publicly fetchable.
• When you use AI to create or clean up product visuals, keep them accurate to the real product and be ready for an AI-info label rather than trying to hide the edit.

This is where a purpose-built tool pays off. Generating consistent, catalog-ready visuals with AI product photography lets you output square, clean-background primaries at the right resolution and produce matching angle variations for the same product, so the whole catalog looks coherent across Instagram and Facebook Shops. Meeting the instagram shopping image requirements then becomes a template you reuse for every new SKU instead of a one-off scramble.

Common rejection reasons to avoid

Most catalog image rejections trace back to a short list of avoidable mistakes, so checking against it before you upload catches the majority of problems. Reviewers flag these repeatedly.

• Images under 500 x 500 pixels, or blurry, pixelated files.
• Text overlays, watermarks, or promotional graphics on the primary image.
• Primary image that does not clearly show the actual product being sold.
• Image or price that does not match the product landing page.
• Broken, login-gated, or non-HTTPS image URLs that Meta cannot fetch.

Clearing this list is the fastest way to get products live and taggable. Nail the instagram shopping image requirements on the primary image, keep your feed and website in sync, and you remove the friction that keeps most Shops from launching cleanly.

Instagram and Facebook Shops Image FAQ

What is the minimum image size for Instagram and Facebook Shops?

Product images must be at least 500 x 500 pixels, and Meta recommends 1024 x 1024 pixels for better quality across placements. Because both storefronts pull from the same catalog, this minimum applies to Instagram Shopping and Facebook Shops alike.

Can I put text or a logo on my catalog primary image?

No. The primary catalog image should not carry overlaid text, calls to action, promo codes, watermarks, or time-sensitive claims like temporary price drops. Move any promotional messaging into secondary images or into your ad creative, and keep the primary a clean shot of the product itself.

Does Meta require a white background?

Meta recommends a clean, plain, ideally white background so the full product is clearly visible, and its guidance points to white backdrops for catalog primaries. A plain background is not just about looks; it reduces the chance of a review flag and crops predictably to square across placements.

Will my product get an AI label if I use AI to make the images?

It can. Meta applies an "AI info" label when it detects standard AI image indicators or when you disclose AI use, and it has extended this labeling toward promoted and shopping content. The label is informational, not a ban, so the priority is keeping AI visuals accurate to the real product rather than avoiding AI entirely.

Do Instagram Shopping and Facebook Shops use different image specs?

No. Both draw from one shared Meta catalog, so a single set of image specs governs every placement. Preparing one compliant catalog image set covers Instagram product tags, the Facebook Shop tab, and dynamic catalog ads at the same time.

Published by Aashirvad Kumar, founder of ListingRVA AI. Drafted with AI assistance; the rules, figures and claims are checked against the sources linked in this article before publishing.