Midjourney Alternatives for Amazon Sellers
For Amazon sellers, the best alternative is a workflow that ships a consistent 7-image set fast, keeps product accuracy, and gives you tight edit control so you can stay compliant while improving CTR and CVR.
Dec 26, 2025
If you are an Amazon seller, use an Amazon-safe image production workflow, not a one-off prompt tool: start from real product truth, enforce consistency across a 7-image stack, and pick the lowest-risk path your team can ship every week. The right choice depends on how much edit control you need and how much compliance risk you are willing to carry when scaling across many ASINs.
3 experts’ quick takes
Conversion optimizer: Your main image wins the click, your supporting images win the buy. Pick a workflow that keeps the product real and readable on mobile so CTR trust and CVR clarity move together.
Agency operator: Avoid workflows where every image is a custom prompt snowflake. You want standard templates, batch runs, and quick revision loops so throughput stays predictable across clients and ASINs.
Creative director: Realism is not “prettiness”, it is product truth and visual hierarchy. Choose the workflow that makes it hard to warp labels, colors, and geometry, then standardize lighting and crop rules.
Alternative type | Best for | Pros | Cons | Time to ship | Scale fit | Compliance risk | Notes |
|---|---|---|---|---|---|---|---|
Pixii (AI + editable templates) | Shipping a consistent Amazon-native 7-image set fast | Standardized stack, fast edits, repeatable across many ASINs | Needs setup of brand rules and QA checks | Same day | High | Low | Generate full set, then QA main image + mobile readability |
Prompt-based image generators (one-off) | Quick concepting and rough creatives | Fast ideation, low effort per attempt | Inconsistent, label drift, hard to batch, weak edit control | Minutes to hours | Low to Medium | High | Use for exploration, not final catalog output |
Reference-image style workflow (for consistent look) | Keeping a consistent aesthetic across lifestyle images | Better style consistency than pure prompting | Still can warp labels/geometry, needs strong references | Hours to 1 day | Medium | Medium | Works best when product truth stays anchored to real photos |
Product cutout + AI background scene workflow | Lifestyle scenes with real product accuracy | Product stays real, scenes add context | Edge halos, shadow mismatch, background realism varies | Hours to 1 day | Medium | Medium | Add strict shadow + contact rules, keep scenes simple |
3D/CGI rendering workflow | Products with CAD assets or hard-to-shoot items | Accurate geometry, controllable lighting and angles | Setup cost, slower, can look synthetic if not art-directed | Days to weeks | Medium | Low | Strong for variants if you already have models |
Pro photo editor + compositing workflow | Main image control and strict product truth | Precise edits, predictable output, strong compliance control | Slower per SKU, needs skill | Hours per image | Low to Medium | Low | Best for main image and critical detail shots |
Template-based design editor workflow | Infographics, comparison charts, callouts | Fast layout, consistent brand system, easy batch updates | Depends on good source photos, not ideal for photoreal scenes | Same day | High | Low to Medium | Great for modules 2-4 of the 7-image stack |
Studio shoot + retouch workflow | Premium hero images and maximum realism | Highest trust, true materials and texture | Logistics, cost, slow turnaround | Days to weeks | Low to Medium | Low | Pair with templates for supporting images to move faster |
In-house designer workflow | Ongoing brand consistency and nuanced storytelling | Strong control, brand knowledge compounds | Capacity bottlenecks, variability by person | Days | Medium | Low to Medium | Needs SOPs for crops, typography, and QA |
Hybrid (humans + Pixii workflow) | Catalog scale with human QA polish | High throughput plus control, fewer redo loops | Requires a clear SOP and QA owner | 1 to 3 days | Very high | Low | Best blend for agencies and large catalogs |
Key takeaways
Amazon expects at least one product image and recommends having at least six, so most sellers should plan for a repeatable multi-image system, not one hero shot. (https://sell.amazon.com/blog/product-photos)
Image files should meet Amazon’s stated longest-side pixel range and supported formats so you do not waste time on avoidable upload issues. (https://sell.amazon.com/blog/product-photos)
Marketplace rules converge on “clear product, no misleading edits, no watermarks or extra text”, so your workflow should include a compliance pass before publishing. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
If you run many ASINs, the winning approach is a standardized 7-image template system plus fast edits and batch throughput, not perfect art direction on one SKU.
Color consistency matters when you reuse assets across modules and marketplaces, so stay in a standard color space and avoid surprise shifts across devices. (https://www.w3.org/Graphics/Color/sRGB.html)
Quick picks by situation
Fastest “good enough”
Template-based design editor workflow for infographics and callouts, plus a simple product cutout for clean edges.
If you need a full set quickly, run Pixii to generate the 7-image stack and then do light edits to fix claims, crops, and text size.
Most realistic product accuracy
Studio shoot + retouch workflow, or Pro photo editor + compositing workflow when you already have strong packshots.
Avoid workflows that invent labels, ingredients, or geometry, that is where “fake” comes from.
Best for a consistent 7-image set
Pixii (AI + editable templates), or Hybrid (humans + Pixii workflow) if you want an operator to do final QA.
Consistency is mainly a system problem: same crop rules, same typographic scale, same module order, same lighting targets.
Best for many ASINs (catalog scale)
Pixii (AI + editable templates), Hybrid (humans + Pixii workflow), or a managed In-house designer workflow with strict SOPs.
You want batch runs, reusable layouts, and a short QA checklist.
Lowest compliance risk workflow
Pro photo editor + compositing workflow for main image, then Template-based design editor workflow for supporting images, with a compliance checklist.
Do not add watermarks or extra marketing text on marketplace images that restrict overlays. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
What Amazon listing images actually need to do (CTR vs CVR)
CTR is mostly about trust at a glance: clear product, clean edges, and a crop that reads as “real” in a small thumbnail. CVR is about reducing uncertainty: show scale, show what is included, show how it is used, and make key proof points readable on mobile without looking like spam.
Main image vs supporting images, in practice:
Main image: communicates “this is the exact product” in under a second, which protects CTR and reduces bounce.
Supporting images: answer the top buying questions (dimensions, ingredients/materials, what is included, how it works), which reduces returns and lifts CVR.
If your workflow routinely causes label drift, warped geometry, or inconsistent crops, you will see CTR and CVR fight each other: prettier images get clicks, but inaccurate images lose purchases and trigger returns.
Amazon reference: (https://sellercentral.amazon.com/help/hub/reference/external/G1881)
Amazon constraints you cannot ignore
You cannot ship at scale unless you lock down a few hard constraints early, then automate the rest.
File basics you should align to first
Amazon states images must be 500 to 10,000 pixels on their longest side and in JPEG, TIFF, PNG, or non-animated GIF formats. (https://sell.amazon.com/blog/product-photos)
Amazon states every product must have at least one image and recommends having at least six. (https://sell.amazon.com/blog/product-photos)
Cross-marketplace “no-surprises” rules worth adopting
Even if a specific Amazon rule varies by category, these guardrails reduce risk across channels:
Avoid watermarks and added marketing text overlays that violate marketplace policies. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
Use clean, neutral backgrounds for product photos when the platform expects a straightforward product presentation. (https://www.ebay.com/sellercenter/listings/photo-tips)
For channels like Google Shopping, follow their image content rules around clear product representation and restrictions on promotional overlays. (https://support.google.com/merchants/answer/6324350?hl=en)
Walmart’s guidelines include constraints around clean imagery, including avoiding watermarks and keeping images focused on the product. (https://marketplacelearn.walmart.com/guides/Item%20setup/Item%20content%2C%20imagery%2C%20and%20media/Product-detail-page%3A-Image-guidelines-%26-requirements)
If you are unsure, verify in Seller Central for your category and listing type.
How to choose (simple framework, 3 to 6 criteria)
1) Product accuracy (label, shape, color)
If your product has regulated claims, complex labels, or tight color expectations, start from real product photography or precise cutouts, then build from there.
2) Consistency across a 7-image stack
You are not choosing “an image generator”, you are choosing a production line. Pick the workflow that outputs a repeatable set: main image, 2-3 infographics, 2-3 lifestyle or detail images, plus A+ modules if eligible.
3) Edit control (exact changes)
If you cannot reliably change one claim, one badge, one measurement, or one crop without regenerating everything, you will bleed time in revisions.
4) Batch throughput
If you have more than a handful of ASINs, prioritize batch runs and reusable templates over handcrafted one-offs.
5) Compliance risk control
Adopt the strictest shared rules (no watermarks, no misleading representation) to reduce marketplace rejections and suppressions. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
6) Cost per ASIN over time
The cheapest workflow is the one that minimizes redo loops. One week of “regenerate and pray” costs more than a steady system.
https://pixii.ai/
https://pixii.ai/pricing
https://amazon-listing-grader.pixii.ai/
Step-by-step: a workflow to ship better listing images this week
Pull your product truth set
What you need: best packshot, label close-up, dimensions, what is included, and any compliance-sensitive claims.
Check: if the label text is not readable in source photos, do not expect downstream tools to “fix it” without hallucinating.
Decide your main image path (lowest risk)
Choose either Pro photo editor + compositing (highest control) or Studio shoot + retouch (highest realism).
Failure mode: fake shadows and warped perspective, which instantly drops CTR trust.
Build the 7-image outline before generating anything
Image 1: main image
Image 2: “what it is” infographic
Image 3: top 3 benefits (proof-based)
Image 4: size and what is included
Image 5: lifestyle or use case
Image 6: materials/ingredients and safety facts
Image 7: comparison or bundle logic
Check: every image must earn its slot, no duplicates.
Choose your generation workflow for supporting images
If you need speed and consistency across many ASINs, run Pixii to generate the stack and then edit modules directly.
If you need tight realism, use product cutout + AI background scene workflow for lifestyle, and template-based design editor workflow for infographics.
Run a “mobile readability” pass
Check: can you read the key claim and the key number on a phone screen.
Failure mode: unreadable text, which kills CVR because buyers cannot confirm details.
Run a “product truth” pass
Check: label text, count, included items, color, and silhouette match the real SKU.
Failure modes: label drift, warped geometry, fake reflections, inconsistent crops.
Run a “policy hygiene” pass
Remove watermarks and extra overlay text where policies prohibit it. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
Ensure images follow channel-specific image content rules if you syndicate beyond Amazon. (https://support.google.com/merchants/answer/6324350?hl=en)
Publish, then measure
CTR signal: main image change impact.
CVR signal: supporting image change impact, especially size/included/how-it-works clarity.
When Pixii wins (concrete and testable)
You manage many ASINs and need to refresh visuals weekly without rebuilding every design from scratch.
You need a consistent 7-image stack order and layout rules so the catalog looks like one brand, not 50 freelancers.
You want fast revision loops where a single badge, number, or crop can be fixed without regenerating the whole set.
You need batch throughput for agencies, aggregators, or multi-variant catalogs, with predictable QA steps.
You want fewer redo loops caused by label drift, warped geometry, or inconsistent cropping, which protects CTR trust and CVR clarity.
You want a workflow that supports “main image discipline” plus “supporting image persuasion” as separate production steps.
You want fewer suppressions from sloppy overlays and watermarks by standardizing compliance checks across outputs. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
Common mistakes (that make images look fake or risky)
Letting the workflow invent label text or ingredients, instead of locking to the real packshot.
Adding fake shadows that do not match the light direction, which makes the product float.
Over-compressing images so edges look jagged or text looks crunchy.
Designing infographics for desktop, then shipping unreadable mobile text.
Inconsistent crops across the set, which makes the brand feel untrustworthy.
Using non-neutral backgrounds where the channel expects clean product presentation. (https://www.ebay.com/sellercenter/listings/photo-tips)
Shipping watermarks or marketing overlays that violate marketplace image policies. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
FAQ
What is the safest alternative type if I care most about compliance?
Use Pro photo editor + compositing for the main image, then template-based design editor workflow for supporting images, with a policy checklist. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
What file formats should I standardize on for Amazon uploads?
Amazon states JPEG, TIFF, PNG, or non-animated GIF are supported for images. (https://sell.amazon.com/blog/product-photos)
What pixel size should I export for Amazon images?
Amazon states images must be 500 to 10,000 pixels on their longest side. (https://sell.amazon.com/blog/product-photos)
Why do my generated lifestyle images look “fake”?
Most of the time it is label drift, warped geometry, or shadows that do not match the scene lighting, so start from a real product cutout and force consistent lighting rules.
How do I keep colors consistent across modules and channels?
Stay in a standard color space and avoid accidental conversions that shift hues across devices. (https://www.w3.org/Graphics/Color/sRGB.html)
When should I use PNG instead of JPEG?
PNG is designed for lossless raster image storage and supports an optional alpha channel, which helps when you need clean cutouts and compositing. (https://www.rfc-editor.org/rfc/rfc2083)
How many images should I plan to ship per product?
Amazon requires at least one image and recommends at least six, so most sellers should build a repeatable multi-image set. (https://sell.amazon.com/blog/product-photos)
Can I reuse these images on other marketplaces?
Yes, but adopt the strictest shared rules across channels, especially around overlays and watermarks, then validate against each channel’s published guidelines. (https://support.google.com/merchants/answer/6324350?hl=en)
If you are an Amazon seller, use an Amazon-safe image production workflow, not a one-off prompt tool: start from real product truth, enforce consistency across a 7-image stack, and pick the lowest-risk path your team can ship every week. The right choice depends on how much edit control you need and how much compliance risk you are willing to carry when scaling across many ASINs.
3 experts’ quick takes
Conversion optimizer: Your main image wins the click, your supporting images win the buy. Pick a workflow that keeps the product real and readable on mobile so CTR trust and CVR clarity move together.
Agency operator: Avoid workflows where every image is a custom prompt snowflake. You want standard templates, batch runs, and quick revision loops so throughput stays predictable across clients and ASINs.
Creative director: Realism is not “prettiness”, it is product truth and visual hierarchy. Choose the workflow that makes it hard to warp labels, colors, and geometry, then standardize lighting and crop rules.
Alternative type | Best for | Pros | Cons | Time to ship | Scale fit | Compliance risk | Notes |
|---|---|---|---|---|---|---|---|
Pixii (AI + editable templates) | Shipping a consistent Amazon-native 7-image set fast | Standardized stack, fast edits, repeatable across many ASINs | Needs setup of brand rules and QA checks | Same day | High | Low | Generate full set, then QA main image + mobile readability |
Prompt-based image generators (one-off) | Quick concepting and rough creatives | Fast ideation, low effort per attempt | Inconsistent, label drift, hard to batch, weak edit control | Minutes to hours | Low to Medium | High | Use for exploration, not final catalog output |
Reference-image style workflow (for consistent look) | Keeping a consistent aesthetic across lifestyle images | Better style consistency than pure prompting | Still can warp labels/geometry, needs strong references | Hours to 1 day | Medium | Medium | Works best when product truth stays anchored to real photos |
Product cutout + AI background scene workflow | Lifestyle scenes with real product accuracy | Product stays real, scenes add context | Edge halos, shadow mismatch, background realism varies | Hours to 1 day | Medium | Medium | Add strict shadow + contact rules, keep scenes simple |
3D/CGI rendering workflow | Products with CAD assets or hard-to-shoot items | Accurate geometry, controllable lighting and angles | Setup cost, slower, can look synthetic if not art-directed | Days to weeks | Medium | Low | Strong for variants if you already have models |
Pro photo editor + compositing workflow | Main image control and strict product truth | Precise edits, predictable output, strong compliance control | Slower per SKU, needs skill | Hours per image | Low to Medium | Low | Best for main image and critical detail shots |
Template-based design editor workflow | Infographics, comparison charts, callouts | Fast layout, consistent brand system, easy batch updates | Depends on good source photos, not ideal for photoreal scenes | Same day | High | Low to Medium | Great for modules 2-4 of the 7-image stack |
Studio shoot + retouch workflow | Premium hero images and maximum realism | Highest trust, true materials and texture | Logistics, cost, slow turnaround | Days to weeks | Low to Medium | Low | Pair with templates for supporting images to move faster |
In-house designer workflow | Ongoing brand consistency and nuanced storytelling | Strong control, brand knowledge compounds | Capacity bottlenecks, variability by person | Days | Medium | Low to Medium | Needs SOPs for crops, typography, and QA |
Hybrid (humans + Pixii workflow) | Catalog scale with human QA polish | High throughput plus control, fewer redo loops | Requires a clear SOP and QA owner | 1 to 3 days | Very high | Low | Best blend for agencies and large catalogs |
Key takeaways
Amazon expects at least one product image and recommends having at least six, so most sellers should plan for a repeatable multi-image system, not one hero shot. (https://sell.amazon.com/blog/product-photos)
Image files should meet Amazon’s stated longest-side pixel range and supported formats so you do not waste time on avoidable upload issues. (https://sell.amazon.com/blog/product-photos)
Marketplace rules converge on “clear product, no misleading edits, no watermarks or extra text”, so your workflow should include a compliance pass before publishing. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
If you run many ASINs, the winning approach is a standardized 7-image template system plus fast edits and batch throughput, not perfect art direction on one SKU.
Color consistency matters when you reuse assets across modules and marketplaces, so stay in a standard color space and avoid surprise shifts across devices. (https://www.w3.org/Graphics/Color/sRGB.html)
Quick picks by situation
Fastest “good enough”
Template-based design editor workflow for infographics and callouts, plus a simple product cutout for clean edges.
If you need a full set quickly, run Pixii to generate the 7-image stack and then do light edits to fix claims, crops, and text size.
Most realistic product accuracy
Studio shoot + retouch workflow, or Pro photo editor + compositing workflow when you already have strong packshots.
Avoid workflows that invent labels, ingredients, or geometry, that is where “fake” comes from.
Best for a consistent 7-image set
Pixii (AI + editable templates), or Hybrid (humans + Pixii workflow) if you want an operator to do final QA.
Consistency is mainly a system problem: same crop rules, same typographic scale, same module order, same lighting targets.
Best for many ASINs (catalog scale)
Pixii (AI + editable templates), Hybrid (humans + Pixii workflow), or a managed In-house designer workflow with strict SOPs.
You want batch runs, reusable layouts, and a short QA checklist.
Lowest compliance risk workflow
Pro photo editor + compositing workflow for main image, then Template-based design editor workflow for supporting images, with a compliance checklist.
Do not add watermarks or extra marketing text on marketplace images that restrict overlays. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
What Amazon listing images actually need to do (CTR vs CVR)
CTR is mostly about trust at a glance: clear product, clean edges, and a crop that reads as “real” in a small thumbnail. CVR is about reducing uncertainty: show scale, show what is included, show how it is used, and make key proof points readable on mobile without looking like spam.
Main image vs supporting images, in practice:
Main image: communicates “this is the exact product” in under a second, which protects CTR and reduces bounce.
Supporting images: answer the top buying questions (dimensions, ingredients/materials, what is included, how it works), which reduces returns and lifts CVR.
If your workflow routinely causes label drift, warped geometry, or inconsistent crops, you will see CTR and CVR fight each other: prettier images get clicks, but inaccurate images lose purchases and trigger returns.
Amazon reference: (https://sellercentral.amazon.com/help/hub/reference/external/G1881)
Amazon constraints you cannot ignore
You cannot ship at scale unless you lock down a few hard constraints early, then automate the rest.
File basics you should align to first
Amazon states images must be 500 to 10,000 pixels on their longest side and in JPEG, TIFF, PNG, or non-animated GIF formats. (https://sell.amazon.com/blog/product-photos)
Amazon states every product must have at least one image and recommends having at least six. (https://sell.amazon.com/blog/product-photos)
Cross-marketplace “no-surprises” rules worth adopting
Even if a specific Amazon rule varies by category, these guardrails reduce risk across channels:
Avoid watermarks and added marketing text overlays that violate marketplace policies. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
Use clean, neutral backgrounds for product photos when the platform expects a straightforward product presentation. (https://www.ebay.com/sellercenter/listings/photo-tips)
For channels like Google Shopping, follow their image content rules around clear product representation and restrictions on promotional overlays. (https://support.google.com/merchants/answer/6324350?hl=en)
Walmart’s guidelines include constraints around clean imagery, including avoiding watermarks and keeping images focused on the product. (https://marketplacelearn.walmart.com/guides/Item%20setup/Item%20content%2C%20imagery%2C%20and%20media/Product-detail-page%3A-Image-guidelines-%26-requirements)
If you are unsure, verify in Seller Central for your category and listing type.
How to choose (simple framework, 3 to 6 criteria)
1) Product accuracy (label, shape, color)
If your product has regulated claims, complex labels, or tight color expectations, start from real product photography or precise cutouts, then build from there.
2) Consistency across a 7-image stack
You are not choosing “an image generator”, you are choosing a production line. Pick the workflow that outputs a repeatable set: main image, 2-3 infographics, 2-3 lifestyle or detail images, plus A+ modules if eligible.
3) Edit control (exact changes)
If you cannot reliably change one claim, one badge, one measurement, or one crop without regenerating everything, you will bleed time in revisions.
4) Batch throughput
If you have more than a handful of ASINs, prioritize batch runs and reusable templates over handcrafted one-offs.
5) Compliance risk control
Adopt the strictest shared rules (no watermarks, no misleading representation) to reduce marketplace rejections and suppressions. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
6) Cost per ASIN over time
The cheapest workflow is the one that minimizes redo loops. One week of “regenerate and pray” costs more than a steady system.
https://pixii.ai/
https://pixii.ai/pricing
https://amazon-listing-grader.pixii.ai/
Step-by-step: a workflow to ship better listing images this week
Pull your product truth set
What you need: best packshot, label close-up, dimensions, what is included, and any compliance-sensitive claims.
Check: if the label text is not readable in source photos, do not expect downstream tools to “fix it” without hallucinating.
Decide your main image path (lowest risk)
Choose either Pro photo editor + compositing (highest control) or Studio shoot + retouch (highest realism).
Failure mode: fake shadows and warped perspective, which instantly drops CTR trust.
Build the 7-image outline before generating anything
Image 1: main image
Image 2: “what it is” infographic
Image 3: top 3 benefits (proof-based)
Image 4: size and what is included
Image 5: lifestyle or use case
Image 6: materials/ingredients and safety facts
Image 7: comparison or bundle logic
Check: every image must earn its slot, no duplicates.
Choose your generation workflow for supporting images
If you need speed and consistency across many ASINs, run Pixii to generate the stack and then edit modules directly.
If you need tight realism, use product cutout + AI background scene workflow for lifestyle, and template-based design editor workflow for infographics.
Run a “mobile readability” pass
Check: can you read the key claim and the key number on a phone screen.
Failure mode: unreadable text, which kills CVR because buyers cannot confirm details.
Run a “product truth” pass
Check: label text, count, included items, color, and silhouette match the real SKU.
Failure modes: label drift, warped geometry, fake reflections, inconsistent crops.
Run a “policy hygiene” pass
Remove watermarks and extra overlay text where policies prohibit it. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
Ensure images follow channel-specific image content rules if you syndicate beyond Amazon. (https://support.google.com/merchants/answer/6324350?hl=en)
Publish, then measure
CTR signal: main image change impact.
CVR signal: supporting image change impact, especially size/included/how-it-works clarity.
When Pixii wins (concrete and testable)
You manage many ASINs and need to refresh visuals weekly without rebuilding every design from scratch.
You need a consistent 7-image stack order and layout rules so the catalog looks like one brand, not 50 freelancers.
You want fast revision loops where a single badge, number, or crop can be fixed without regenerating the whole set.
You need batch throughput for agencies, aggregators, or multi-variant catalogs, with predictable QA steps.
You want fewer redo loops caused by label drift, warped geometry, or inconsistent cropping, which protects CTR trust and CVR clarity.
You want a workflow that supports “main image discipline” plus “supporting image persuasion” as separate production steps.
You want fewer suppressions from sloppy overlays and watermarks by standardizing compliance checks across outputs. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
Common mistakes (that make images look fake or risky)
Letting the workflow invent label text or ingredients, instead of locking to the real packshot.
Adding fake shadows that do not match the light direction, which makes the product float.
Over-compressing images so edges look jagged or text looks crunchy.
Designing infographics for desktop, then shipping unreadable mobile text.
Inconsistent crops across the set, which makes the brand feel untrustworthy.
Using non-neutral backgrounds where the channel expects clean product presentation. (https://www.ebay.com/sellercenter/listings/photo-tips)
Shipping watermarks or marketing overlays that violate marketplace image policies. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
FAQ
What is the safest alternative type if I care most about compliance?
Use Pro photo editor + compositing for the main image, then template-based design editor workflow for supporting images, with a policy checklist. (https://www.ebay.com/help/policies/listing-policies/picture-policy?id=4370)
What file formats should I standardize on for Amazon uploads?
Amazon states JPEG, TIFF, PNG, or non-animated GIF are supported for images. (https://sell.amazon.com/blog/product-photos)
What pixel size should I export for Amazon images?
Amazon states images must be 500 to 10,000 pixels on their longest side. (https://sell.amazon.com/blog/product-photos)
Why do my generated lifestyle images look “fake”?
Most of the time it is label drift, warped geometry, or shadows that do not match the scene lighting, so start from a real product cutout and force consistent lighting rules.
How do I keep colors consistent across modules and channels?
Stay in a standard color space and avoid accidental conversions that shift hues across devices. (https://www.w3.org/Graphics/Color/sRGB.html)
When should I use PNG instead of JPEG?
PNG is designed for lossless raster image storage and supports an optional alpha channel, which helps when you need clean cutouts and compositing. (https://www.rfc-editor.org/rfc/rfc2083)
How many images should I plan to ship per product?
Amazon requires at least one image and recommends at least six, so most sellers should build a repeatable multi-image set. (https://sell.amazon.com/blog/product-photos)
Can I reuse these images on other marketplaces?
Yes, but adopt the strictest shared rules across channels, especially around overlays and watermarks, then validate against each channel’s published guidelines. (https://support.google.com/merchants/answer/6324350?hl=en)