Part 1 — OpenAI + Xceed Words for .NET Integration (YouTube)

Why AI-Powered Document Processing?

Enterprises and software teams are increasingly looking to automate document workflows—think contract review, data extraction, and content generation. Integrating AI with .NET enables robust, scalable solutions for these use cases. Xceed Words for .NET, paired with OpenAI’s language models and Microsoft’s Semantic Kernel, provides a powerful toolkit for developers to build next-generation document processing systems.

What’s Covered in Part 1

In this video, you’ll learn how to:

• Create a cross-platform .NET console application (Windows, macOS, Linux)
• Install and configure Xceed Words for .NET for seamless document handling
• Add and set up OpenAI and Semantic Kernel dependencies
• Load .docx files and extract content for downstream AI processing

This is a direct, hands-on setup—ideal for technical users who value clarity and efficiency.

Step-by-Step Walkthrough

1. Setting Up Your .NET Console Application

Start by creating a new .NET 8 console project. This ensures compatibility across platforms and provides a lightweight foundation for rapid prototyping.

dotnet new console -n AIDocumentProcessor
cd AIDocumentProcessor

2. Installing Xceed Words for .NET

Add the Xceed Words for .NET NuGet package to your project. This library enables high-performance reading, editing, and creation of Word documents in .NET.

dotnet add package Xceed.Words.NET

3. Integrating Semantic Kernel and OpenAI

To enable AI-powered processing, install the required dependencies:

dotnet add package Microsoft.SemanticKernel
dotnet add package OpenAI

Configure your API keys and dependencies as shown in the video for secure, scalable access to OpenAI’s models.

4. Loading and Extracting Content from .docx Files

With everything configured, use Xceed Words for .NET to load and parse .docx files. Extracted text can be sent to OpenAI for summarization, classification, or content generation—enabling powerful automation scenarios.

Example code snippet:

using Xceed.Words.NET;

var doc = DocX.Load("sample.docx");
string content = doc.Text;
// Pass 'content' to your AI pipeline

Who Should Watch

• .NET developers building enterprise or SaaS document workflows
• Technical leads evaluating AI integration for internal tools
• Teams seeking to automate document extraction, summarization, or classification

Why Choose Xceed Words for .NET?

• Performance: Fast, async-friendly APIs for large documents
• Cross-platform: Windows, macOS, and Linux support
• Enterprise-grade: Reliable, perpetual licensing and strong support
• Easy integration: Works seamlessly with modern .NET and AI libraries

Stay Tuned for Part 2

Part 2 will cover advanced AI workflows—sending extracted content to OpenAI, handling responses, and integrating results into your .NET apps. Subscribe to our YouTube channel and follow us on LinkedIn for updates.

Ready to Build?

Get started with a 45-Day free trial of Xceed Words for .NET and unlock the full potential of AI-powered document automation in your .NET projects.