Copy-paste formulas to extract structured data in Google Sheets
Paste a formula into row 2, allow unknown, then drag down.
Extract a named field
A: source text
=GPT("Extract the company name from this text, or unknown. Return only the value. Text: " & A2)
Extract amount and date
A: source text
=GPT("From this text return amount and date as: amount | date (ISO). Use unknown if missing. Text: " & A2)
Extract to a category
A: source text · B: category list
=GPT("Pick the best category from the list for this text, or other. List: " & B2 & ". Text: " & A2)
Short answer
Extracting structured data in Sheets means turning unstructured text, notes, emails, or descriptions, into clean, columnar fields you can sort and filter. GPT for Sheets reads each cell and returns the specific values you ask for, with ‘unknown’ when a value is missing.
Fastest path: Install GPT for Sheets → put source text in a column → add an extract formula per field → review → fill down.
This page is for ops, analysts, and RevOps who get data trapped in free text and need it in columns. Always allow an ‘unknown’ answer and review a sample; extraction is a decision aid that can misread ambiguous or inconsistent text.
Workflow
A practical sheet for this workflow usually has these columns:
| Column | What to put there | Why it matters |
|---|---|---|
| A | Source text | The unstructured input |
| B | Field 1 (e.g. name) | One extracted value per column |
| C | Field 2 (e.g. amount) | Keep fields separate for sorting |
| D | Field 3 (e.g. date) | Normalized format |
| E | Confidence / QA | Flags rows to double-check |
Ask for one field per column
Extraction is most reliable when each formula targets a single, clearly defined field and is told exactly what to return and in what format. Keep fields in separate columns so you can sort, filter, and validate each one independently.
Allow unknown, then review
Always let the model return ‘unknown’ rather than guess, which keeps bad data out of your columns. Run on a sample, spot-check against the source text, and add a confidence column to flag rows that need a human look before you fill down.
Use cases
- Note parsing: turn call notes into fields.
- Email triage: pull amounts, dates, and asks.
- Catalog cleanup: extract specs from descriptions.
- Form data: structure free-text responses.
- QA: confidence-flag ambiguous rows.
Best for / not best for
Best for: Ops and analysts who keep free-text data in Google Sheets and want it parsed into clean, sortable columns without custom code.
Not best for: extraction from regulated documents requiring guaranteed accuracy and audit trails; AI parsing can misread ambiguous text and should be reviewed before use.
The strongest use case is converting inconsistent free text into one-field-per-column data your team can filter, with an explicit ‘unknown’ so gaps stay visible instead of becoming wrong values.
Internal links and next workflows
- GPT for Sheets product page
- GPT for Sheets pricing
- Categorize leads by industry
- AI lead enrichment guide
- B2B sales account research
- Account research automation
Safety, compliance, and data quality
AI output is a decision aid, not a guarantee. Keep your source columns visible, review a sample before acting, use lawful data, and follow your team’s data and compliance rules. Do not infer sensitive attributes about people.
Frequently Asked Questions
Why ask for one field per formula?
Single-field prompts are easier to get right, validate, and reuse. Keeping each field in its own column lets you sort and check it independently.
What happens when a value is missing?
The prompts instruct the model to return ‘unknown’ rather than guess, which keeps fabricated data out of your columns and makes gaps easy to spot.
Can it normalize dates and amounts?
Yes. Tell the formula the exact format you want, such as ISO dates, and review a sample to confirm consistency before filling down.
Is the extraction guaranteed accurate?
No. It is a decision aid that can misread ambiguous text; keep a confidence column and verify important fields against the source.
Start structuring text in Google Sheets
Put your messy text in a column, install GPT for Sheets, and extract clean fields into columns where your data already lives.