How do I find duplicate rows in a CSV by one column?

Open the free data reconciliation tool, choose one CSV, enter the field that should be unique, and run the audit. Duplicate groups are reported with their row numbers.

No. The selected reconciliation file is processed locally in your browser and is not uploaded to the Ops Control HQ backend.

Can I check for missing values too?

Yes. The same one-file audit counts missing values by field alongside duplicate groups.

CSV DATA QA

Find duplicate rows in a CSV by key—free, no upload.

Check an export for repeated IDs, emails, SKUs, account numbers, invoice numbers, or another field that should be unique. The same audit also counts missing values by column.

Your CSV stays on your device. The reconciliation tool processes selected files locally in your browser.

Open the duplicate-row audit Compare two exports instead

HOW IT WORKS

Audit the field that should be unique.

Choose a CSV or compatible JSON export.
Enter a unique-key field such as account_id, email, SKU, or invoice_id.
Run the audit to see duplicate groups, row numbers, row count, columns, and missing-value counts.

WHY KEY-BASED DUPLICATES MATTER

Two rows can conflict without being identical.

Whole-row duplicate checks miss cases where the same account or SKU appears twice with different status, amount, owner, or date values. Auditing a field that should be unique surfaces those collisions for review instead of silently choosing a winner.

FROM CLEANUP TO CONTROL

Repeated duplicate cleanup is usually an operating signal.

If the same export needs the same repair every week, define the owner, cadence, evidence, exception rule, and escalation path around the reconciliation instead of relying on another manual rescue.

Operations Starter Kit — $29 Operator Control System — $99

Common questions

Does the tool delete duplicates?
The audit reports duplicate groups first. A cleaned CSV download is available from the tool after review, but you remain responsible for deciding whether the chosen key and cleanup are appropriate.

What if the key field is not actually unique?
The audit will show repeated groups. That is a signal to review the data model or choose a more appropriate identifier before using the field for reconciliation.

Structural data QA is not accounting, legal, compliance, audit, or source-of-truth determination. Review material discrepancies with the responsible person.