Fix Messy Imported Spreadsheet Data

Exports from CRMs, ad platforms, online store stores, payment processors, and analytics tools all have their own personalities — and all of them produce slightly broken spreadsheets. Names typed three different ways. Emails in mixed casing. Dates in whatever format the source system felt like that day. Empty padding rows. Columns nobody asked for. Clean That Sheet is built for the moment after you hit "export" and before you hit "import somewhere else".

We handle the most common problems automatically. Duplicate and near duplicate rows get collapsed. Whitespace gets trimmed from every cell. Emails and names get normalized to consistent casing. Dates get standardized. Empty rows and empty columns get dropped. Column headers get tidied so other tools recognize them. The result is the kind of file your downstream tool actually wants to receive.

This is the step that fixes "the import worked but the data is wrong". Most failed imports aren't failures — they're successes that loaded garbage. A row that imports as a new customer because the email had a trailing space. A campaign report that double-counts because the same row appears in two casings. A dashboard that shows weird gaps because dates were in mixed formats and half of them parsed as text. Cleaning before importing prevents all of it.

Upload your .csv, .xlsx, or .xls export — Shopify, Stripe, HubSpot, Mailchimp, Pipedrive, QuickBooks, Google Ads, Meta Ads, whatever it is — and Clean That Sheet handles it the same way. Preview is free. The full cleaned file is $1.99. No subscription, no signup, no row caps.

If you import data from one tool into another even once a month, this is the missing middle step. It's faster than writing a script, cheaper than buying an ETL tool, and you don't need to ask IT for help.