SheetAI brings AI functions to Google Sheets, letting you generate, extract, classify and clean data with spreadsheet formulas.
SheetAI adds AI superpowers to spreadsheets through custom functions. Instead of exporting data to a chatbot, you write formulas like SHEETAI_FILL or SHEETAI_LIST to generate content, extract structured fields from text, classify rows or draft replies — right in the cells you already work in. It supports bulk operations across thousands of rows and connects to OpenAI-class models through your own API key or SheetAI’s credits. Typical uses include generating product descriptions, cleaning CRM notes, summarizing feedback and building AI-powered trackers.
SheetAI is a paid add-on with tiered subscriptions by usage, plus model API costs if you use your own key. A trial lets you evaluate the functions.
It fits analysts, marketers and operators who live in spreadsheets and want AI where their data already is.
Install the add-on in Google Sheets and use custom formulas to call AI functions per cell or per range: generate text, extract structured fields, classify rows or draft replies. Bulk operations process thousands of rows in a pass, and settings let you use your own model API key for capacity and cost control.
It shines on repetitive text work that lives in spreadsheets — product descriptions, feedback summaries, CRM note cleanup. Prototype on ten rows before running thousands; prompt phrasing quality dominates results. Keep a sample column of human-written outputs as a quality reference, and review bulk results before downstream systems consume them.
A limited trial is available; ongoing use requires a subscription and covers model usage accordingly.
SheetAI itself is formula-based; power users can bring their own model API keys for flexible capacity.
SheetAI keeps AI work inside the spreadsheet, which beats copying data through external chat tools for any repetitive task.
You can use SheetAI managed credits or connect your own model API key for greater capacity and cost control. Bring-your-own-key is popular with teams that already have negotiated model pricing or data-handling requirements.