I m building CSV Repair & Deduper and want to understand what proof matters before someone imports cleaned data into a CRM, store, or accounting system.
Which would give you the most confidence: a before/after row count, a list of duplicate groups, a change summary, column validation, or something else?
The tool runs locally in the browser, but local processing alone does not prove the output is correct. I d rather prioritize the audit evidence people actually use. Please don t share real customer data just the checks that matter in your workflow.
Customer and CRM exports are exactly where an upload-first cleaner can become uncomfortable. Before using any CSV cleanup tool, I would check five things:
1. Where is the file processed and retained?
2. Can I review duplicate groups before deleting anything?
3. Does it distinguish exact duplicates from similar names or emails?
I built CSV Repair & Deduper for people who receive customer or contact exports that fail imports or create duplicate records.
It detects comma, semicolon, tab, or pipe delimiters; handles quoted and multiline cells; supports UTF-8 and legacy Windows-1252 exports; and flags exact or near-duplicate rows for review. Everything runs locally in the browser, so the CSV is not uploaded.
It is USD 19 once, with no subscription. The downloaded version can be used permanently and includes version 1.x updates.
There is a sample demo and before/after example here:
