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Shopify's product import fails per-row, not per-file - so a single bad price or a mismatched Option1 Name three thousand rows in can mean re-uploading and waiting through the whole import again just to find one cell. This checks a product CSV against Shopify's actual column rules before you upload it, and tells you exactly which row and column caused each problem.

When you'd use this

Before any bulk import or re-import - especially catalogs exported from another platform, since column names and formats (delimiter, price formatting, boolean values) rarely match Shopify's exactly on the first try.

It's also useful for catching the relational mistakes that a spreadsheet won't warn you about on its own: variant rows that don't share their parent's Handle, duplicate SKUs scattered across the file, or Option1/2/3 Name values that drift between rows that are supposed to belong to the same product.

Common errors

Errors (shown in red) mean the import will fail outright for that row - a missing required column, a price with a currency symbol in it, or an invalid barcode. Warnings mean the import will succeed but produce a wrong result, like a compare-at price that's lower than the actual price.

A semicolon-delimited file (common from European spreadsheet exports) is detected automatically - if your file still looks garbled, it's usually an encoding issue: this tool flags the character patterns that indicate a UTF-8 file was saved or re-opened as Latin-1 somewhere along the way.

Frequently asked questions

Does this check every possible Shopify import rule?

It checks the rules with real, testable consequences: required/unknown columns, price and quantity formats, barcode validity, and the Handle/Option/SKU relational rules that determine whether variant rows group into one product correctly. The rule set is versioned with a last-verified date shown on the page - Shopify's own schema is the final authority.

Why does an invalid barcode link to a different tool?

Barcode fields are validated with the same GS1 check-digit logic as the GTIN Converter, so an invalid barcode links straight there to fix or convert it, rather than making you retype it into a second tool from scratch.

What does the downloaded "annotated" CSV contain?

Your original file with one extra `_errors` column appended, listing every error and warning found for that row - so you can filter or sort in a spreadsheet instead of cross-referencing row numbers against a separate report.