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Map CSV, JSON or Excel product data for free and review SKUs and required values. Export a draft CSV or Listing JSON to check against Amazon category templates.
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Map CSV, JSON or Excel product data for free and review SKUs and required values. Export a draft CSV or Listing JSON to check against Amazon category templates.
The sample has MUG-BLUE and MUG-RED at USD 19.90 and 21.90. Both exported CSV and Listing JSON should retain these SKUs and the original descriptions.
Up to 10 MB per file and 10,000 rows per table. The output is a product-information draft, not a universal Amazon inventory upload. It does not connect a seller account, publish products or translate text. Image checks validate URL syntax, not remote availability.
Marketplace and category templates differ. Check official headers, required fields and import rules; this tool prepares source product information.
Unmapped fields are excluded from the draft. Download the original data and use cross-platform mapping when you need a specific output header.
Use this tool for free without a KitNelo account. Processing runs in your browser; input limits, browser support and device memory still apply.
Exports drafts for review. Marketplace and category requirements must be checked in the official template; nothing is published automatically.
Read KitNelo data and privacy detailsImport product data from CSV, JSON or Excel and review the mapped rows before exporting a draft CSV. Compare the output with the official marketplace and category template, because preparation does not publish products or confirm every Amazon requirement.
Inspect product identifiers and required values in the imported records before generating an Amazon draft. Correct missing or inconsistent SKUs against your source system first, then review category-specific requirements separately in the applicable official template.
Match your source columns to supported product and listing fields, then inspect the resulting CSV or Listing JSON. Verify each mapping against the intended marketplace and category before upload so similarly named fields do not acquire the wrong meaning.
