How to clear validation in Google Sheets & Excel cells

A practical guide to removing data validation in Google Sheets and Excel, and handing the cleanup to an AI computer agent so your team stops fighting spreadsheet rules.
Advanced computer use agent
Production-grade reliability
Transparent Execution

Why bots fix Sheets & Excel

Every ops team eventually hits the same wall: data validation rules that once protected spreadsheets now block progress. Old drop-down lists, rigid number limits, and legacy form checks cause errors, stop submissions, and break new workflows. In Excel, locked-down cells can prevent saving forms or updating reports until every warning is cleared. In Google Sheets, validations copied years ago silently reject new values from CRMs or surveys. That’s why pruning or fully removing data validation matters: you restore flexibility, unblock imports, and prepare your models and dashboards for how the business runs today, not three quarters ago.Now imagine delegating that cleanup to an AI computer agent. Instead of interns hunting through tabs, the agent opens each workbook, finds validated ranges, clears or adjusts them by your rules, logs every change, and reruns checks. You get clean, usable spreadsheets, while your team focuses on campaigns, deals, and strategy—not clicking Data > Data Validation a thousand times.

How to clear validation in Google Sheets & Excel cells

## 1. Manual ways to remove data validation (Excel & Google Sheets)### A. Excel: Clear validation from selected cellsThis is the classic approach when you’re working in a few ranges.1. Open your workbook and select the cells that contain data validation (drop-downs or rules).2. On the **Data** tab, click **Data Validation**.3. In the **Settings** tab of the dialog, click **Clear All**.4. Click **OK**. Validation rules (including list drop-downs) are removed, but the existing values remain.Microsoft’s official guide: [Remove a drop-down list](https://support.microsoft.com/en-us/office/remove-a-drop-down-list-01b38366-f5bb-43f8-9df9-8a707b9502f0) and [Add, change, or remove data validation](https://support.microsoft.com/en-us/office/add-change-or-remove-data-validation-ac6b6477-8529-4e38-bdb8-2364e5a344c6).**Pros:** Precise, built-in, no extra tools. **Cons:** Slow and repetitive at scale; easy to miss ranges.### B. Excel: Remove all validation in a sheetWhen a sheet is cluttered with old rules, this is faster:1. Press **Ctrl+G** to open **Go To**.2. Click **Special…**.3. Choose **Data Validation** > **All** and click **OK**. Excel now highlights all cells with validation.4. With those cells still selected, go to **Data > Data Validation**.5. Click **Clear All**, then **OK**.This will wipe every data validation rule on that sheet—drop-downs, ranges, and custom formulas.**Pros:** Very fast for legacy sheets. **Cons:** No nuance; you can’t exclude specific validations.### C. Excel: Remove only certain validation rulesSometimes you want to keep some rules (e.g., date ranges) but remove others (e.g., product lists):1. Use **Ctrl+G > Special > Data Validation > Same** while your cursor is in a representative cell that has the rule you want to target.2. Excel selects all cells using that exact validation.3. Go to **Data > Data Validation**.4. Adjust the rule or click **Clear All** for that specific rule set.This lets you surgically update or delete just one category of validation.### D. Google Sheets: Remove validation from a rangeGoogle Sheets behaves similarly, but through right-click menus.1. Select the cells or range that contain validation.2. Right-click and choose **View more cell actions** (three dots) if needed, then **Data validation**, or go to **Data > Data validation** from the top menu.3. In the sidebar or dialog, click **Remove rule**.4. The rule disappears; cell values remain.Official docs: [Use data validation in Google Sheets](https://support.google.com/docs/answer/139706?hl=en).**Pros:** Simple, familiar to Sheets users. **Cons:** Still manual; easy to overlook hidden sheets and ranges.### E. Google Sheets: Bulk clear validations across tabsFor many business workbooks, validations are scattered:1. On each tab, press **Ctrl+A** twice to select all used cells.2. Click **Data > Data validation**.3. If any rules are found, use **Remove rule**.4. Repeat for critical tabs.This is tedious but workable for a handful of sheets.**Pros:** No add-ons, full control. **Cons:** Painful as soon as you manage dozens of sheets or workspaces.---## 2. No-code automation approachesManual cleanup doesn’t scale for agencies managing hundreds of client reports or sales teams refreshing weekly dashboards. Here are more automated, no-code options.### A. Use Excel macros and Office Scripts (light technical)You don’t have to be a full developer to record a macro that clears validations:1. In Excel (desktop), enable the **Developer** tab.2. Click **Record Macro** and name it `ClearAllValidation`.3. While recording, press **Ctrl+G > Special > Data Validation > All**.4. Go to **Data > Data Validation** > **Clear All > OK**.5. Stop recording.Now you can run this macro on any sheet. For web/enterprise, you can use **Office Scripts** in Excel for the web and trigger them from **Power Automate**.**Pros:** One-click cleanup per sheet; can be connected to flows. **Cons:** Still requires someone to open the file; macros/scripts must be maintained.### B. Automate with Power Automate (Excel in OneDrive/SharePoint)For organizations using Microsoft 365:1. Store workbooks in **OneDrive** or **SharePoint**.2. In **Power Automate**, create a cloud flow triggered on a schedule or on file upload.3. Add **Excel Online (Business)** actions to locate the workbook and run an **Office Script** that: - Opens each worksheet. - Uses the script equivalent of **Go To Special** to find validation. - Clears validation rules based on your business logic.4. Log actions to a central sheet or Teams channel.**Pros:** Fully unattended, enterprise-ready. **Cons:** Requires script authoring and 365 infrastructure.### C. No-code tools for Google Sheets (Apps Script & add-ons)1. In a main Google Sheet, open **Extensions > Apps Script**.2. Paste a small script that loops through each sheet, finds validation on each range, and clears it.3. Bind that script to a custom menu item like **Data Cleanup > Clear All Validation**.4. Optionally, use **Triggers** to run the cleanup on schedule.Docs: [Apps Script overview](https://developers.google.com/apps-script) and [Use data validation in Google Sheets](https://support.google.com/docs/answer/139706?hl=en).**Pros:** Free, flexible, runs inside Google workspace. **Cons:** Someone has to maintain the script; debugging can distract business teams.---## 3. AI agent workflows to clean validation at scaleAt a certain point, even no-code flows become a maze: dozens of scripts, edge cases, and ever-changing templates. This is where an AI computer agent—like one powered by Simular’s desktop and browser automation—becomes your spreadsheet operations teammate.### A. Agent as a smart operator in Excel and SheetsImagine you describe the job once:> “Open each Excel and Google Sheets file in this folder. For reporting tabs, list all ranges with data validation. Remove rules on historical columns, keep them on current input forms, and log exactly what changed.”A Simular AI agent can:1. Navigate your desktop, browser, or cloud storage to locate workbooks.2. Open Excel or Google Sheets in the same way a human would.3. Use built-in menus (**Data > Data Validation**, context menus, Go To Special) to detect and clear rules following your instructions.4. Export a before/after report to a central Google Sheet for audit.**Pros:**- Human-level flexibility across both Google Sheets and Excel. - No brittle scripts; if UI shifts slightly, the agent adapts.- Transparent execution: every click is recorded and reviewable.**Cons:**- Requires an initial onboarding and testing phase.- Best value when you have recurring or large-scale cleanups.### B. Agent-driven cleanup integrated into business workflowsFor agencies, sales ops, and RevOps teams, you can go further:1. When a new client workbook arrives in a shared folder, a webhook triggers your Simular Pro agent.2. The agent opens the file, detects outdated validation (e.g., lists missing new product SKUs or territories), and clears or updates rules.3. It standardizes formats so downstream analytics and AI models can ingest the data cleanly.4. It posts a summary in Slack or logs changes into a control spreadsheet.Now, **removing data validation** is not a one-off chore—it’s a background process that quietly keeps every spreadsheet compatible with your current business logic.**Pros:**- Hands-off maintenance across dozens or hundreds of files.- Consistent execution, run after run, with production-grade reliability.- Easy to extend: the same agent can also normalize headers, merge tabs, or push data into CRMs.**Cons:**- Needs initial design of prompts and guardrails.- Best suited for teams ready to centralize their spreadsheet operations.By combining the native tools in Excel and Google Sheets with no-code automation and AI agents, you move from reactive, manual cleanup to a proactive, continuously maintained data foundation.

Scale data rule cleanup with AI spreadsheet agents

Set up Simular agent
Train your Simular AI agent with a clear playbook: open target Google Sheets and Excel workbooks, locate ranges with data validation, then remove or adjust rules on command.
Test Simular cleanup
Run the Simular AI agent on a sample of Google Sheets and Excel files, watch each step, tweak prompts and rules, and verify every cleared validation against your audit log.
Roll out to Simular
Once confident, delegate recurring Google Sheets and Excel cleanup to the Simular AI Agent on a schedule or trigger, scaling data validation removal across clients and teams automatically.

FAQS