Clean Up a Messy Bank Export with Gemini in Google Sheets

What This Does

A raw bank or credit card export names the same hardware store four different ways, lists duplicate charges from a failed payment retry, and buries memo fields nobody would recognize six months later. Gemini in Google Sheets standardizes vendor names and flags duplicate or unclear rows in one pass, so the export is actually usable for bookkeeping instead of something you clean by hand, row by row.

Before You Start

• You have a Business Standard account ($14/user/month) with Gemini enabled: workspace.google.com
• Your export is a native Google Sheet, not an Excel file (use File > Save as Google Sheets first if needed)
• You have stripped or masked account and routing numbers from the export before pasting it in. Vendor names, dates, and amounts are what Gemini needs; your account details are not

Steps

1. Find the AI feature

Open the spreadsheet with your pasted transaction export. At the top right, click Ask Gemini to open the side panel.

2. Tell it what you need

Describe the cleanup in plain language. For example: "In column B, standardize vendor names so every variation of the same business shows up identically (for example, treat 'HOME DPT #4471' and 'HOMEDEPOT.COM' as the same vendor), and add a column flagging any row that looks like a duplicate of another row within three days." You can also ask it directly: "Find all instances of 'HOME DPT' in column B and replace them with 'Home Depot'."

3. Review and use the result

Gemini shows an action preview card describing exactly what it's about to change. Click Apply. Then scan the flagged duplicate and unclear rows yourself. A same-amount charge two days apart from the same vendor might be a real duplicate needing a dispute, or it might be two separate trips to the same store. Gemini flags the pattern; you make the call.

Real Example

Scenario: A BRRRR investor pastes a year of credit card transactions into a Sheet before doing monthly bookkeeping, and the vendor column is a mess of abbreviated store names, some in all caps, some with trailing store numbers.

What you type: "Standardize the vendor names in column B so the same business always shows the same name, and flag any row that's a likely duplicate of another row within three days."

What you get: A cleaned vendor column where every hardware store visit reads "Home Depot" instead of four inconsistent variants, plus a new column marking two rows as likely duplicates because they show the same amount from the same vendor a day apart, ready for you to confirm before either gets categorized.

Tips

• Run the cleanup before you categorize, not after. A standardized vendor name makes the next categorization pass (by you or by Gemini) far more consistent.
• Ask Gemini to explain a flagged duplicate before you delete anything: "Why did you flag row 42 as a duplicate?" Deleting a real second purchase by mistake is worse than leaving a false flag in place.
• Save a cleaned copy under a new tab or file name so you always have the original export if you need to double-check something later.

Tool interfaces change. If a button has moved, look for "Ask Gemini" near the top right of the Sheets window or a similar AI icon nearby.