The AI Product Asset Compliance Checker reviews product images before cross-border listing or ad submission. It checks main images, lifestyle images, packaging photos, label shots, and detail images for asset risks. It is not a platform review API and does not issue legal conclusions. Instead, it uses the product description, target platform, target market, and image content to surface visual issues, packaging information gaps, text overlays, watermarks, borders, product mismatch, and regulated-product signals. It is designed for cross-border sellers, DTC teams, designers, suppliers, and marketplace operators who need a pre-listing asset checklist.
Core inputs include product name, product description, target platform, target market, and up to 8 uploaded product images. Each image can be labeled as a main image, lifestyle image, packaging image, label image, or detail image. The frontend reads file name, format, file size, pixel dimensions, and base64 image content before sending the request. Product name and description help detect product mismatch. Platform and market selection shape the review context, such as Google Shopping image constraints, Amazon listing photos, TikTok Shop assets, Shopify product pages, or Meta Ads drafts. Per-image file size limits prevent very large images from being sent directly to the model.
The tool returns structured JSON and renders it as copyable sections. overallRisk marks the overall risk level; verdict provides a short conclusion; assetSummary summarizes whether the uploaded materials are usable; imageFindings lists each image role, risk level, concrete issues, and fixes; checks summarizes review items such as dimensions, clarity, text overlays, promotional elements, watermarks, borders, product consistency, packaging labels, and market-facing risks; nextActions turns the result into a follow-up checklist; disclaimer reminds users that the output is only a pre-check and cannot replace platform review, legal advice, or formal product compliance certification.
When images are uploaded, the frontend reads each file as a data URL with FileReader and gets pixel width and height through the browser Image object. It then POSTs image metadata and base64 content with the product brief to /api/ai-product-asset-checker. The server verifies that at least one image exists, limits the batch to 8 images, and inserts the product facts, platform, market, image list, and public asset-rule guidance into the vision-model prompt. The model is constrained to return JSON only, with all explanatory text in the selected output language. The frontend parses the response and displays overall risk, per-image findings, checklist items, and next actions. If the request fails or JSON parsing fails, the page shows an error while keeping the uploaded assets available for correction and retry.
Input example
Product title: Handmade ceramic cup
Description: Handmade ceramic drinking cup for hot beverages
Target platform: Google Shopping
Target market: United States
Images: 1 main image, 1 packaging image, 1 label imageOutput example
Overall risk: Medium
Verdict: The main image clearly shows the product, but the packaging image does not show material or capacity information, and the label image does not confirm food-contact use. For Google Shopping use, the main image should avoid promotional text, watermarks, or borders.
Image findings: Main image passes; packaging image needs a full side-panel photo; label image needs capacity, material, origin, or supplier food-contact confirmation.
Next actions: Export a clean main image without overlay text; ask the supplier for high-resolution packaging and label photos; confirm whether the target market requires food-contact documentation.No. It is a pre-check for asset risks. It cannot guarantee approval by Amazon, Google Shopping, TikTok Shop, ad platforms, or local regulators.
Many risks appear on packaging: brand marks, warnings, certifications, age suitability, capacity, ingredients, origin claims, or regulatory wording. A main image alone is often not enough.
Use it for main images, lifestyle images, packaging shots, label photos, detail images, and ad creative drafts. Regulated products still need manual review against destination rules.
AI results are for asset pre-check only and do not constitute platform approval, legal advice, or product compliance certification. Verify current rules for the target platform and market before listing.