GPT Excel Tutorial: Get Started in 5 Minutes [2026]

What it does:

Converts plain English descriptions into working spreadsheet formulas for Excel, Google Sheets, LibreOffice Calc, and Airtable. Handles complex nested functions like INDEX-MATCH, array formulas, and conditional aggregations. Users describe the desired outcome (e.g., 'sum all sales from Q1 where region is North') and receive the exact formula with syntax explanation.

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What it does:

Generates SQL queries from natural language descriptions, supporting SELECT, JOIN, GROUP BY, subqueries, and window functions. Useful for analysts who understand their data but need help with SQL syntax, or for translating spreadsheet logic into database queries for migration projects.

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What it does:

Creates VBA macros for Excel and Apps Script code for Google Sheets from plain English instructions. Automates repetitive tasks like formatting reports, consolidating data across sheets, sending email alerts based on cell values, and building custom functions that extend built-in spreadsheet capabilities.

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Generates and modifies pivot tables using AI, allowing users to describe the analysis they want (e.g., 'show monthly revenue by product category') rather than manually configuring rows, columns, values, and filters. Reduces pivot table setup time from minutes to seconds.

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Creates regular expression patterns from natural language descriptions for data validation, text extraction, and pattern matching. Particularly useful for cleaning messy data in spreadsheets — extracting phone numbers, emails, or specific text patterns from unstructured cell content.

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What it does:

Provides a conversational AI interface where users can ask follow-up questions, request formula modifications, debug errors, and get step-by-step explanations. Supports file uploads so the AI can analyze actual spreadsheet data and provide contextual suggestions.

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