If you work in sales, ops, or client services, you’ve probably opened a spreadsheet and groaned at a cell stuffed with multiple names, SKUs, or tags. All you really want is one value per row so you can filter, pivot, and report without hacks or brittle formulas.
Splitting cells into two rows brings hidden structure back into your data: each person becomes a separate lead, every product a distinct line item, every tag a filterable dimension. Dashboards become more honest. Forecasts stop double‑counting. And your team stops arguing with pivot tables.
This is exactly the kind of work a machine should do. An AI computer agent can watch how you clean a few examples, then repeat the same sequence across thousands of rows, in both Google Sheets and Excel. Instead of burning an afternoon wrestling with delimiters and insert‑row clicks, you hand the pattern to the agent and stay focused on strategy, not cell surgery.
Every agency owner, marketer, or operator has met the monster cell: a single box crammed with “John Smith, Maria Clara” or “SKU-1 / SKU-2”. It looks tidy, but it quietly breaks your reporting. You can’t filter by a single person, you can’t count products accurately, and your CRM exports become a mess.
The fix is simple in theory: split that one cell into two rows. The real question is how to do it reliably, especially when you have hundreds or thousands of records. Let’s walk through the best options—from quick manual tricks to fully automated AI agents.
Use this when you only have a handful of cells to fix.
Steps:
Pros:
Cons:
If your delimiter is consistent (comma, slash, semicolon), formulas can split values into separate rows.
Example: A2 contains John Smith, Maria Clara.
=TRIM(LEFT(A2, FIND(",", A2) - 1))=TRIM(MID(A2, FIND(",", A2) + 1, LEN(A2)))Copy these formulas down for each record, then optionally paste values to freeze the result.
Pros:
Cons:
Power Query is ideal when you have large, recurring datasets.
Steps:
Pros:
Cons:
In Google Sheets, you can mix built‑in functions to simulate “split into rows”.
Steps (comma‑separated values in A2):
=TRANSPOSE(SPLIT(A2, ","))Pros:
Cons:
For power users, VBA (Excel) or Apps Script (Google Sheets) can loop through every selected cell, split by a delimiter, and insert new rows.
High‑level pattern:
Split() by your delimiter.Pros:
Cons:
All the methods above assume you’re the one driving. But what if you could show an AI computer agent the workflow once and let it repeat it across any spreadsheet?
With a computer‑use agent like Simular, you can:
The agent can then:
Pros:
Cons:
For busy teams, that’s the real win: you stop being the bottleneck for spreadsheet cleanup and promote yourself back to strategist, while the agent quietly does the cell surgery in the background.
If you only have a few cells, use a manual approach. In Excel or Google Sheets, double‑click the cell, highlight the part you want on the new row, and press Ctrl+X to cut. Insert a blank row directly beneath, click the matching column cell, and press Ctrl+V to paste. Repeat for each combined cell. It’s simple and requires no formulas, but becomes slow and error‑prone for larger datasets.
In Excel, assume A2 contains "John Smith, Maria Clara". In A3, use `=TRIM(LEFT(A2, FIND(",", A2) - 1))` to extract the first name. In A4, use `=TRIM(MID(A2, FIND(",", A2) + 1, LEN(A2)))` to extract the second. Copy these formulas down for other rows, then paste values to freeze the result. In Google Sheets, you can combine SPLIT with TRANSPOSE to achieve a similar row‑based layout.
For large datasets in Excel, use Power Query. Select your range, go to Data > From Table/Range, then in the Query Editor choose Transform > Split Column > By Delimiter. Pick your delimiter, open Advanced options, and choose Split into Rows. Click OK, then Close & Load. For recurring tasks, wrap this into an AI agent workflow so it can open the file, refresh the query, and export results without manual intervention.
Yes. If A2 has comma‑separated values, use `=TRANSPOSE(SPLIT(A2, ","))` in a blank area. SPLIT divides the text into pieces, and TRANSPOSE rotates them into rows. Drag the formula down or wrap it in an array formula to handle more cells. Once you’re happy with the layout, copy and paste as values. If this is repetitive, you can teach an AI computer agent to insert formulas, copy results, and clean up automatically.
Delegate to an AI agent when you repeat the same clean‑up weekly or across many files: CRM exports, sales lead lists, campaign tags, or staff allocations. If the steps are predictable—open sheet, find column, split by comma, insert rows, paste values—an agent like Simular can learn them once and execute reliably. You gain consistent structure, fewer manual errors, and hours back for analysis and strategy instead of spreadsheet surgery.