Sheetize-Ais on Excel File Processing Plugins for C# .NET Core | Sheetize Blog https://blog.sheetize.com/sheetize-ai/ Recent content in Sheetize-Ais on Excel File Processing Plugins for C# .NET Core | Sheetize Blog Hugo -- gohugo.io en Sat, 22 Aug 2026 00:00:00 +0000 How to Ask Questions About a Spreadsheet File with Sheetize AI · .NET SDK https://blog.sheetize.com/sheetize-ai/ask-question-about-spreadsheet-in-dotnet/ Sat, 22 Aug 2026 00:00:00 +0000 https://blog.sheetize.com/sheetize-ai/ask-question-about-spreadsheet-in-dotnet/ Learn to query, analyze, and extract insights from Excel, CSV, or XML files using Sheetize AI’s .NET SDK. Simple code examples show you how to ask natural‑language questions and get instant, accurate answers. Why Developers Need AI‑Powered Spreadsheet Queries In modern data‑driven apps, users expect instant answers—not just raw files. Traditional Excel processing requires manual formulas or cumbersome LINQ queries. Sheetize AI bridges that gap:
Pain Point What Happens Without Sheetize AI
Manual Look‑ups Teams spend hours writing VLOOKUPs or pivot tables to answer simple “how many” questions.
Inconsistent Data Different developers implement ad‑hoc parsers, leading to bugs and duplicated logic.
Scalability Limits Querying large CSVs or XLSX files with pure .NET code can hit memory or performance bottlenecks.
User Experience Gap End‑users must export the file to another tool (Power BI, Tableau) to get insights.
Solution: Sheetize AI .NET SDK – ask a question in plain English (or any supported language) and receive a structured answer (JSON, DataTable, or POCO) directly from the spreadsheet file.

Core Benefits at a Glance

Feature Benefits
Natural‑Language Queries No need to know the exact column names or write complex LINQ; just ask “What was the total sales for Q2?”
Multi‑Format Support Works with XLSX, XLSB, CSV, XML, and even password‑protected workbooks.
Scalable Engine Streams data, and can be run inside micro‑services.
Secure & Offline All processing stays on‑premises; no data leaves your environment.

Asking a Question – 5‑Line Sample (XLSX → Answer)

using Sheetize.AI;

string ApiKey = "";
string ApiUrl = "https://llm.professionalize.com/v1/chat/completions";

Configuration.Model = Model.Recommended;
SheetizeAI sheetizeAI = new SheetizeAI(ApiKey, true, ApiUrl);

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

// Alternative: Using TextWriter to write to the console instead of using Console.WriteLine

TextWriter writer = Console.Out;
await sheetizeAI.SpreadsheetQuestion("D:\\Sample.xlsx", "How many nights Christopher Wright will work?", writer);

Real‑World Scenarios Powered by Sheetize AI

# Use‑Case Input Typical Question Business Impact
1️⃣ Financial Dashboard Large CSV of transactions “What’s the month‑over‑month growth for Europe?” Instant KPI updates, 5× faster reporting
2️⃣ Customer Support Analytics XLSX with ticket logs “How many tickets were resolved in under 2 hours last week?” Faster SLA monitoring, reduced churn
3️⃣ Education Platform XLSM workbook with grades “Show the top 5 students by average score for Math.” Automated leaderboards, higher engagement
4️⃣ Supply‑Chain Optimization XML inventory feed “List all items where stock < 50 and supplier = ‘Acme Corp’.” Prevent stock‑outs, 20 % inventory cost reduction
5️⃣ E‑Book Publishing EPUB containing embedded workbook “Export the chart data for chapter 3 as CSV.” Seamless content repurposing, lower manual effort

Developer FAQ

Question Answer
Does the SDK work on .NET 8 and .NET 6? Yes – it targets .NET Framework 10, so all modern runtimes are supported.
Can I query encrypted Excel files? The library can open password‑protected workbooks if you provide the password.
Support options? Paid licenses include 24/7 email and chat support; community forums are free for trial users.

Call‑to‑Action Ready to turn every spreadsheet into an instant knowledge base?

  1. Install the NuGet package (Sheetize.AI).
  2. Run the “Hello‑Question” console app (use the code snippets).
  3. Integrate into your API – expose a /ask endpoint that forwards user questions to Sheetize AI.
  4. Contact Sales for bulk‑license pricing, on‑prem deployment, or custom model fine‑tuning.

Bottom Line Sheetize AI .NET SDK is the only library that lets you ask natural‑language questions directly against spreadsheets, CSVs, and XML files—delivering instant, structured answers without moving data to the cloud. > Start asking questions. Get answers. Accelerate your business.

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