Sheetize AI

Sheetize AI – Interact with Spreadsheets Using Human Language

Working with spreadsheets shouldn’t require memorizing a maze of APIs. Sheetize AI brings a conversational interface to the world of .NET data‑processing.

Sheetize AI is a .NET class library that lets developers work with Excel‑style spreadsheet files using plain, conversational language. Whether you need to:

  • Create a new spreadsheet from a natural‑language specification,
  • Update cells, rows, or formulas by describing what you want,
  • Ask questions about the data (e.g., “What was the total sales for Q2?”), or
  • Get a concise summary of the entire sheet,
  • Sheetize AI translates your intent into precise spreadsheet operations, removing the need for verbose API calls.

Why Sheetize AI?

Traditional spreadsheet libraries require you to know cell addresses, data types, and the exact API sequence to perform a change. This creates a steep learning curve and slows down rapid‑prototyping. Sheetize AI bridges that gap by:

  • Human‑friendly commands: Write “Add a column called Profit that calculates Revenue – Cost.”
  • Instant file generation: Describe the whole workbook – “Create a budget sheet for 2025 with three tabs: Income, Expenses, Summary.”
  • Data‑driven Q&A: Ask “Which product had the highest growth last month?” and receive the answer programmatically.
  • Automatic summarization: Get a bullet‑point overview of a large sheet with a single call.

Key Capabilities

  • Manipulate: Edit cells, rows, columns, and formulas using plain English.
  • Create: Generate whole workbooks from text specifications (e.g., “Create a sales report for Q1”).
  • Query: Ask questions directly about your data (“What’s the average revenue per region?”).
  • Summarize: Get instant text overviews of complex workbooks (“Give me a brief overview of the budget”).

Typical Scenarios

  1. Rapid Prototyping for Business Apps A product manager describes a “quarterly financial report with columns for Revenue, Cost, and Profit (Revenue – Cost)”. Sheetize AI creates the workbook, adds formulas, and returns the file in seconds, letting developers focus on UI rather than spreadsheet plumbing.

  2. Data‑Science Automation Data engineers ask “Give me the top 5 customers by total purchase value”. Sheetize AI runs the query on the sheet, returns a JSON array, and optionally writes the result to a new sheet.

  3. Customer‑Support Self‑Service Support bots can interpret user questions like “Why is my balance negative?” and, using Sheetize AI, locate the offending rows, provide a friendly explanation, and even auto‑correct the data if permitted.

  4. Enterprise Reporting Pipelines Batch jobs read legacy CSV files, ask “Create a pivot table that shows sales per region”, and Sheetize AI builds the pivot, saves the workbook, and emails it to stakeholders – all without a single line of Excel‑automation code.

💻 Platform Support

  • Runtime: .NET 6+
  • OS: Windows, Linux, and macOS
  • Delivery: Single, easy‑to‑install NuGet library

💡 One line, endless possibilities:

string result = await sheetizeAI.SpreadsheetQuestion("D:\\Sample.xlsx", "How many nights Christopher Wright will work?");

Why Sheetize AI Matters

The Old Way (Traditional APIs)

  • Manual tracking of cell addresses (A1, B2)
  • Complex LINQ queries for basic data retrieval
  • Heavy boilerplate code to load, save, and navigate
  • Custom parsing logic needed for natural‑language inputs

The New Way (Sheetize AI)

  • Context Awareness: Tracks active workbooks, sheets, and recent operations.
  • Data Fidelity: Preserves all formatting, formulas, and validation rules.
  • Rapid Prototyping: Builds data‑driven UIs and chatbots instantly.
 English