

Every owner, agency lead, or sales manager has lived this scene: the end-of-month scramble. Timesheets arrive as 7:15, 3:45:30, or “4h 20m,” and someone has to turn that chaos into decimal hours so payroll, invoices, and campaign ROI actually add up.Decimal time solves the hidden friction. When 7:15 becomes 7.25 and 3:45:30 becomes 3.758, your spreadsheets can finally behave like a calculator instead of a puzzle. Summing hours, comparing project profitability, or forecasting staffing needs becomes a single formula, not a guessing game.For recurring workflows, delegating this conversion to an AI computer agent is where things get interesting. Instead of a coordinator copy-pasting into calculators or repairing broken formulas, the agent reads the raw entries, applies the correct hh:mm:ss → decimal rules, and writes clean numbers back into Google Sheets. It follows the same logic you’d use manually, but at machine speed and with production-grade consistency.That means your team can open a Sheet and instantly trust the totals, while the AI quietly handles every edge case in the background.
Converting time to decimal hours sounds trivial—until you’re doing it for every employee, project, and client across your business. Let’s walk through the most practical ways to do it, from quick manual tricks to fully automated AI-agent workflows that run at scale.### 1. Manual methods inside Google SheetsThese are perfect when you’re experimenting or handling a small volume of rows.**Method 1: Basic time formula (HOUR, MINUTE, SECOND)**1. Enter your times in column A as hh:mm or hh:mm:ss (e.g., `7:15`, `3:45:30`).2. In column B, use: `=HOUR(A2) + MINUTE(A2)/60 + SECOND(A2)/3600`3. Drag the formula down to apply it to all rows.Google’s time-function reference: https://support.google.com/docs/answer/3094139**Method 2: Multiply the time value by 24**Google Sheets stores time as a fraction of a day. Multiply by 24 to turn it into hours:1. Time in A2.2. In B2, enter: `=A2*24`3. Format B2 as a Number with 2–3 decimal places: **Format → Number → Number**.See number formatting docs: https://support.google.com/docs/answer/56470**Method 3: Use TIMEVALUE when time is text**If your time is imported as text (e.g., `"7:15"`), Sheets won’t treat it as time.1. Text time in A2.2. In B2, convert to time serial: `=TIMEVALUE(A2)`.3. In C2, turn it into decimal hours: `=B2*24`.4. Format C2 as Number.**Method 4: Clean inconsistent inputs with SUBSTITUTE**For strings like `"7h 15m"`:1. In A2 you have `7h 15m`.2. Turn it into `7:15`: `=SUBSTITUTE(SUBSTITUTE(A2,"h",""),"m","")`.3. Wrap with TIMEVALUE and `*24`: `=TIMEVALUE(SUBSTITUTE(SUBSTITUTE(A2,"h",""),"m","") )*24`**Method 5: Apply to whole columns with ARRAYFORMULA**Once the formula is right, scale it down a column:1. Put raw times in column A from A2 down.2. In B2, use: `=ARRAYFORMULA(IF(A2:A="","",A2:A*24))`3. Set column B to Number format.ARRAYFORMULA docs: https://support.google.com/docs/answer/3093275This gives you a live, auto-expanding decimal-hours column.### 2. No-code automation methodsWhen you have recurring uploads—weekly timesheets, exported logs from a CRM, or project tools—no-code automations can keep everything in sync without touching code.**Method 1: Google Forms + response Sheet**1. Create a Google Form where staff log start/end times or daily hours in hh:mm format.2. Link responses to a Sheet (Form → Responses → Select destination).3. In the response Sheet, add a formulas column that turns the time into decimal using `=*24` or the HOUR/MINUTE/SECOND method.4. Use ARRAYFORMULA so every new response is converted automatically.**Method 2: Zapier or Make to normalize time fields**You might be pulling time data from tools like your CRM, helpdesk, or time tracker, each with their own format.1. In Zapier or Make, set a trigger on “new row” or “new record” from the source app.2. Add steps to transform the time string into a standard `HH:MM:SS` format.3. Send the cleaned value into Google Sheets in a dedicated “Raw Time” column.4. Let an in-Sheets formula convert that raw time to decimals.Pros: No coding, easy to maintain. Cons: You still maintain formulas and integrations separately, and error handling is limited.**Method 3: External decimal calculators in your workflow**For one-off corrections or training materials, tools like CalculatorSoup’s Time to Decimal Calculator (https://www.calculatorsoup.com/calculators/time/time-to-decimal-calculator.php) or Clockify’s Decimal Hours Converter (https://clockify.me/decimal-hours-converter) can be handy.You can spot check your Google Sheets output against these calculators when setting up your formulas.### 3. Scaling with AI agents (Simular) at production levelWhen you’re a growing agency or business, time conversion becomes part of a larger workflow: ingesting exports, cleaning formats, validating totals, and posting numbers into finance tools. This is where AI computer agents like Simular’s agents shine.**Agent Method 1: Robot assistant for your timesheet pipeline**Imagine your team drops CSV exports from a time tracker into a folder each Friday.1. A Simular agent watches that folder on your desktop or cloud drive.2. When a file appears, it opens it, inspects the time columns, and detects formats (hh:mm, text like “7h 15m,” etc.).3. The agent opens the master Google Sheet in Simular’s browser environment.4. It pastes or uploads the data, inserts the correct decimal conversion formulas, and fills down or wraps in ARRAYFORMULA.5. It cross-checks a sample of rows against an independent calculator (like CalculatorSoup) for sanity.6. Once validated, it triggers a webhook to your downstream payroll or invoicing pipeline.Pros: End-to-end automation of a human-like workflow, no brittle API dependence, high transparency. Cons: Requires initial setup and testing of the agent’s steps.**Agent Method 2: Multi-system consolidation for agencies**For agencies juggling multiple clients and tools:1. The Simular agent logs into each client’s time-tracking or project system in the browser.2. It exports timesheets, cleans them, and converts hours to decimals in a client-specific Google Sheet.3. It then generates summaries: total billable hours, effective hourly rate per campaign, over-servicing alerts.4. Finally, it drafts an email or slide summary for your account managers.Pros: Massive time savings, consistent cross-client reporting, better billing accuracy. Cons: You must maintain clear instructions per client and occasionally adjust when UI changes.**Agent Method 3: Validation and exception handling layer**Even if your conversions start in Sheets formulas, a Simular agent can be the safety net:1. Periodically open key Google Sheets and scan for anomalies (e.g., decimal hours over 24, negative totals, rows missing decimals).2. Recalculate suspect rows using its own logic or an external calculator.3. Flag inconsistencies by adding comments, color-coding cells, or posting to Slack/email.This blends human oversight with machine endurance, ideal for finance, HR, and operations teams who cannot afford silent spreadsheet errors.By mixing manual formulas, no-code tools, and AI agents like Simular, you can start small, validate your approach, and then scale decimal time conversion into a reliable, invisible part of your business infrastructure.
The most robust approach is to standardize how time is entered, then let Google Sheets do the heavy lifting.1. Pick a single input format for the team, ideally `HH:MM` or `HH:MM:SS` (for example, 7:15 or 3:45:30). Add this instruction directly above your input column so nobody improvises.2. Store all raw times in one column, say column A starting at A2.3. In B2, convert those times to decimal hours. The simplest formula is `=A2*24`. This works because Sheets stores time as a fraction of a 24-hour day. Multiplying by 24 gives you hours as a decimal.4. If your data sometimes includes seconds, or you want more control, you can use: `=HOUR(A2) + MINUTE(A2)/60 + SECOND(A2)/3600`.5. Turn B2 into an expanding formula with `ARRAYFORMULA` so every new row is automatically converted: `=ARRAYFORMULA(IF(A2:A="","",A2:A*24))`.6. Format column B as Number with 2–3 decimals, and hide the helper formulas column if needed.Once this template is in place, you can drop in new time data continuously and always get clean decimal hours.
Formula errors usually come from inconsistent inputs or Sheets treating time as text. Tackle both problems up front.1. **Detect text time:** If times are imported from CSVs or tools, they often arrive as text. Use `=ISTEXT(A2)` in a helper column to check. If it returns TRUE, wrap the original cell in `TIMEVALUE`, e.g. `=TIMEVALUE(A2)*24`.2. **Normalize odd formats:** For strings like “7h 15m” or “3 hours 30 minutes,” convert them to `HH:MM` first. A quick hack: `=TIMEVALUE(SUBSTITUTE(SUBSTITUTE(A2,"h",""),"m",""))*24` if structure is consistent.3. **Guard against blanks:** Wrap your formulas with IF checks: `=IF(A2="","",A2*24)` to avoid `#VALUE!` when rows are empty.4. **Use consistent regions:** Make sure your locale uses `:` as the time separator. If not, adapt your import or SUBSTITUTE accordingly.5. **Lock formats:** After you’ve validated your formulas, protect the formula columns so teammates can’t accidentally overwrite them.For mission-critical sheets, an AI agent like Simular can periodically open the Sheet, scan for `#VALUE!` or impossible totals, and flag anomalies before payroll or billing runs.
Creating a reusable Google Sheets template saves your team hours every month.1. Start a new Sheet and label tabs clearly, for example: `Raw Log`, `Decimal Hours`, and `Summary`.2. On `Raw Log`, reserve columns for Date, Employee, Project/Client, and Time (HH:MM or HH:MM:SS). Add short examples in row 1 or 2 to show the correct input format.3. On `Decimal Hours`, reference the `Raw Log` time column. In B2, use `=IF('Raw Log'!D2="","",'Raw Log'!D2*24)` and wrap in `ARRAYFORMULA`: `=ARRAYFORMULA(IF('Raw Log'!D2:D="","",'Raw Log'!D2:D*24))`.4. Format the decimal column as Number with 2 decimals. Add additional columns that calculate billable amounts, like `=B2*HourlyRate`.5. On `Summary`, use `SUMIF` or `PIVOT TABLE` features to roll up hours by employee, project, or client. For example, `=SUMIF(EmployeeRange,EmployeeName,DecimalHoursRange)`.6. Save this spreadsheet as a template in your Drive, or make a copy per client.Later, a Simular AI agent can be instructed to populate the `Raw Log` tab automatically from CSV exports or other tools, and your template will instantly produce updated decimal and billing views.
For payroll, accuracy and repeatability matter more than one-off shortcuts. Here’s a solid workflow.1. Collect timesheets in a uniform format. If employees clock in/out digitally, export a CSV with start, end, and total columns. If they submit daily hours, enforce `HH:MM` entries.2. Import or paste all raw entries into a `Timesheets` tab in Google Sheets.3. If you have start and end times, calculate daily duration first: `=(EndTime-StartTime)*24` in decimal hours. Use `ARRAYFORMULA` to apply this across all rows.4. For already-totaled daily hours (e.g. 7:30), place them in a `Total Time` column and convert with `=TotalTimeCell*24`.5. Summarize hours per employee using `SUMIF` or pivot tables. Convert to pay using `=Hours * HourlyRate`. Double-check a sample against a trusted calculator like CalculatorSoup’s Time to Decimal tool.6. Lock formulas and export only the final decimal-hours and pay columns to your payroll system.You can take this one step further by letting a Simular AI agent import the CSV, apply all formulas, verify edge cases (overtime, negative hours), and send a clean summary to HR or finance.
To automate this completely, think of an AI agent as a reliable assistant operating your computer.1. Map your existing workflow: Where do time logs originate? Email, Slack, a time-tracking app, or CSV exports? Where should converted decimal hours end up? Google Sheets, accounting software, or dashboards?2. Configure a Simular AI agent with this script: watch a folder or inbox, download new timesheet files, open them, and normalize time formats.3. In the next step, the agent opens your designated Google Sheet, pastes fresh data into a `Raw` tab, and confirms that the decimal formulas in your `Computed` tab have updated.4. Instruct the agent to validate results by spot-checking a few rows using its own formula logic or an external calculator like CalculatorSoup, then log a short report (e.g., in a “Run Log” Sheet or Slack message).5. Finally, connect the agent to your downstream workflow via webhook or simply have it export a cleaned CSV.Once tuned, this AI-driven loop can handle thousands of rows per week with production-grade reliability, freeing your team from repetitive conversions and letting them focus on pricing, forecasting, and strategic decisions.