How to Convert DOCX to PDF in C# with IronWord

IronWord enables seamless DOCX to PDF conversion through its ToPdf method, supporting automated document workflows, report distribution, and archival processes that require standardized PDF output format.

Quickstart: Convert DOCX to PDF in C#

Load a DOCX file and convert it to PDF with a single method call using IronWord.

  1. Install IronWord with NuGet Package Manager

    PM > Install-Package IronWord
  2. Copy and run this code snippet.

    using IronWord;
    
    WordDocument doc = new WordDocument("report.docx");
    doc.ToPdf("report.pdf");
  3. Deploy to test on your live environment

    Start using IronWord in your project today with a free trial

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How Do I Convert a DOCX File to PDF?

The ToPdf method handles all PDF generation complexity while preserving document formatting, images, tables, and text styles. Load your DOCX file with new WordDocument("file.docx"), call ToPdf() with the output path, and the conversion completes automatically.

:path=/static-assets/word/content-code-examples/how-to/word-to-pdf-basic.cs
using IronWord;

// Load existing DOCX file
WordDocument doc = new WordDocument("input.docx");

// Convert to PDF
doc.ToPdf("output.pdf");
Imports IronWord

' Load existing DOCX file
Dim doc As New WordDocument("input.docx")

' Convert to PDF
doc.ToPdf("output.pdf")
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TipsThe ToPdf method maintains full document fidelity including fonts, colors, images, and layout during conversion.

This approach works well for automated report distribution, invoice generation, or any workflow requiring standardized PDF output. The converted PDF renders identically across all platforms and devices, making it ideal for official documentation, legal archiving, and client-facing deliverables where consistent appearance is critical.


How Do I Convert Multiple DOCX Files to PDF?

For high-volume document processing, batch conversion processes entire directories automatically. Use Directory.GetFiles() to retrieve all DOCX files, then iterate through each file applying the same conversion method. Error handling with try-catch blocks ensures corrupt files don't halt the entire batch operation.

:path=/static-assets/word/content-code-examples/how-to/word-to-pdf-batch.cs
using IronWord;
using System;
using System.IO;

// Get all DOCX files from input directory
string[] docxFiles = Directory.GetFiles("input-folder", "*.docx");

foreach (string filePath in docxFiles)
{
    try
    {
        // Load DOCX file
        WordDocument doc = new WordDocument(filePath);

        // Generate output PDF path
        string fileName = Path.GetFileNameWithoutExtension(filePath);
        string outputPath = $"output-folder/{fileName}.pdf";

        // Convert to PDF
        doc.ToPdf(outputPath);

        Console.WriteLine($"Converted: {fileName}");
    }
    catch (Exception ex)
    {
        Console.WriteLine($"Failed: {Path.GetFileName(filePath)} - {ex.Message}");
    }
}
Imports IronWord
Imports System
Imports System.IO

' Get all DOCX files from input directory
Dim docxFiles As String() = Directory.GetFiles("input-folder", "*.docx")

For Each filePath As String In docxFiles
    Try
        ' Load DOCX file
        Dim doc As New WordDocument(filePath)

        ' Generate output PDF path
        Dim fileName As String = Path.GetFileNameWithoutExtension(filePath)
        Dim outputPath As String = $"output-folder/{fileName}.pdf"

        ' Convert to PDF
        doc.ToPdf(outputPath)

        Console.WriteLine($"Converted: {fileName}")
    Catch ex As Exception
        Console.WriteLine($"Failed: {Path.GetFileName(filePath)} - {ex.Message}")
    End Try
Next
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The example above demonstrates practical batch processing with console logging for progress tracking. This pattern works effectively for archive migration projects, automated workflow pipelines, or scheduled report generation where hundreds of DOCX files need conversion without manual intervention.

When processing large batches, verify source files exist before conversion and maintain consistent output naming conventions. Consider parallel processing for performance gains, but monitor system resources to prevent memory exhaustion during concurrent operations.

Ahmad Sohail
Full Stack Developer

Ahmad is a full-stack developer with a strong foundation in C#, Python, and web technologies. He has a deep interest in building scalable software solutions and enjoys exploring how design and functionality meet in real-world applications.

Before joining the Iron Software team, Ahmad worked on automation projects ...

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