The problem
The CSV is wrong
and the import won't accept it.
Every system that ingests CSVs — Shopify product imports, QuickBooks customer or item
uploads, supplier price feeds, ad platform conversion lists — has its own header schema,
and what you have rarely matches what they want. The supplier sent SKU when
Shopify wants Variant SKU. The export has 47 columns and you need 12. Three
files need to be combined, but only after you fix the inconsistent capitalization in
two of them.
Excel and Google Sheets can do most of this, but they're heavy for a quick remap, they mangle leading zeros and long numbers, and once your team is involved you've got three slightly different versions of the file floating around. A purpose-built CSV editor that handles remapping and merging in one pass is faster and safer.
What CSVA2Z does
One page,
full CSV workflow.
CSVA2Z is a browser-based CSV editor purpose-built for the prep work between an export and an import. Drop a file, edit cells inline, remap headers to a target schema, merge multiple files with header validation, preview the output, and download. Every operation runs client-side in your browser — your data never leaves your machine.
How it works
Drop, edit,
remap, export.
Who it's for
People who prep CSVs
more than once a week.
CSVA2Z is built for e-commerce operators preparing product feeds for Shopify, bookkeepers staging customer or vendor lists for QuickBooks import, and operations teams reshaping supplier exports into the format their systems expect. It's also useful for anyone tired of nudging spreadsheet columns around in a tool that wasn't designed for the job.
Because everything runs in the browser, it's safe for sensitive data — no upload, no server-side processing, no copies sitting in someone else's cloud.
What you get
Concrete deliverables.
Ctrl+Z / Ctrl+Y).Full workflow details, keyboard shortcuts, and limitations are in the CSVA2Z user manual.
Use cases
What people
actually use it for.
Preparing product feeds for Shopify import. A supplier sends a CSV with
their own header conventions. Shopify wants Variant SKU,
Variant Price, Variant Inventory Qty, and a specific column
order. Drop the supplier file, drop a target-schema CSV with Shopify's headers, remap
in a few clicks, download, import.
Staging customer or vendor lists for QuickBooks. QBO's import expects specific field names and accepts only certain combinations. Inline edit the inconsistent capitalization, fix the missing display names, remap company name into display name where needed, and export a clean import file.
Combining multiple supplier exports. Three vendors send weekly inventory files in the same format. Use Merge to combine them into one clean file with a single header row — the validator confirms headers match before combining, so you don't end up with shifted columns in the output.
Cleaning ad-platform conversion uploads. Conversion lists for Google, Meta, or LinkedIn require precise column names and values. Bulk-update a column with a single value (campaign name, conversion type), remove the columns the platform doesn't want, and export.
Pricing
Available on request — contact us.
Get started
Stop fighting
the spreadsheet.
If you prep CSVs for Shopify, QuickBooks, or any system that wants a specific header schema, CSVA2Z replaces the multi-tab spreadsheet workaround with a tool built for the job.
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