SheetQuery

Users can connect their Google Sheets or Excel files and then ask questions in plain English 'what was our highest revenue month?' or 'show me all customers who purchased more than three times in Q4' and SheetQuery generates the appropriate formulas, filters, or pivot logic to answer the question directly within the spreadsheet.

This natural language interface makes sophisticated data analysis accessible to business users who understand their data but aren't fluent in Excel formula syntax or SQL.

The platform's formula generation capability is particularly valuable for intermediate spreadsheet users who know what they want to calculate but struggle with the syntax of complex nested functions VLOOKUP, INDEX-MATCH, SUMIFS, and array formulas that accomplish powerful analyses but require precise syntax knowledge to construct correctly.

SheetQuery generates these formulas from plain descriptions, explains what each component does, and inserts them into the appropriate cells turning formula construction from a trial-and-error frustration into a guided, understandable process.

Generated formulas are standard spreadsheet syntax that works without any plugin being active, making them portable across environments.

SheetQuery also supports data cleaning and transformation tasks: identifying and removing duplicate rows, standardizing date and text formats, splitting compound fields into separate columns, and flagging anomalies in numerical data.

For operations, finance, and marketing teams whose work centers on spreadsheet data but whose analytical depth is limited by formula expertise rather than domain knowledge, SheetQuery removes the technical barrier between understanding a question and getting an answer from the data.