Validate Required Columns, SKU Keys and Row Width before Import

How to Use This Tool

Catch structural inventory CSV failures before a marketplace or WMS rejects the file. Validate inventory CSV headers, row widths, blank and duplicate SKU keys, and numeric quantity fields with a downloadable row-level report.

The work this page finishes

Inventory imports fail late when headers drift, a row has one extra comma, a SKU is blank or a quantity contains prose instead of a number. A visible row-by-row result preserves provenance, making a single correction possible without rerunning unrelated records or uploading the batch.

Deterministic workflow

Parse quoted CSV, require named headers, enforce consistent row width, compare SKU keys case-insensitively and validate the quantity column as a finite numeric token. Input guards stop after 5,000 records or 2 MB, and the report separates fatal input problems from recoverable row warnings.

Why a dedicated interface helps

Fix every invalid source row, then revalidate against the destination platform's current template because this structural check is deliberately vendor-neutral. Deterministic ordering, one-click copying and a downloadable artifact make repeated operational review easier than manually reconstructing a response from prose.

Assumptions

• The first row is a header.
• SKU and quantity headers use those English names.
• Duplicate comparison trims whitespace and ignores case.

Do not discard the source after export: compare the destination result with it, and remember that local execution cannot secure the surrounding device or browser add-ons.

Limitations and review boundary

It does not know platform-specific product types, warehouses, fulfillment nodes, decimal rules, encoding requirements or live inventory balances. User values are never run as script, rendered as markup or fetched as network destinations; the page writes them only into text nodes.

Verification and provenance

On 2026-08-26, the rule and examples were cross-checked with RFC 4180 — Common Format and MIME Type for CSV Files, including a known result, a rejected input and a conflict or duplicate case. The fixture passes two rows and flags one duplicate SKU plus one nonnumeric quantity.