Converting Word documents to XPS, PostScript, and OFD documents is of significant importance. Firstly, this conversion makes it easier to share and display documents across different platforms and applications, as these formats typically have broader compatibility.

Secondly, converting to these formats can preserve the document's formatting, layout, and content, ensuring consistent display across different systems.

Additionally, XPS and OFD formats support high-quality printing, helping to maintain the visual appearance and print quality of the document. The PostScript format is commonly used for printing and graphic processing, converting to PostScript can ensure that the document maintains high quality when printed.

In this article, you will learn how to convert Word to XPS, PostScript, or OFD with Python using Spire.Doc for Python.

• Convert Word to XPS in Python
• Convert Word to PostScript in Python
• Convert Word to OFD in Python

Install Spire.Doc for Python

This scenario requires Spire.Doc for Python and plum-dispatch v1.7.4. They can be easily installed in your Windows through the following pip commands.

pip install Spire.Doc

If you are unsure how to install, please refer to this tutorial: How to Install Spire.Doc for Python on Windows

Convert Word to XPS in Python

The Document.SaveToFile(filename:str, FileFormat.XPS) method provided by Spire.Doc for Python can convert a Word document to XPS format. The detailed steps are as follows:

• Create an object of the Document class.
• Use the Document.LoadFromFile() method to load the Word document.
• Use the Document.SaveToFile(filename:str, FileFormat.XPS) method to convert the Word document to an XPS document.

from spire.doc import *
from spire.doc.common import *

# Create a Document object
doc = Document()

# Load a Word document
doc.LoadFromFile("Sample.docx")

# Save the loaded document as an XPS document
doc.SaveToFile("Result.xps", FileFormat.XPS)

# Close the document object and release the resources occupied by the document object
doc.Close()
doc.Dispose()

Convert Word to PostScript in Python

With Document.SaveToFile(filename:str, FileFormat.PostScript) method in Spire.Doc for Python, you can convert a Word document to PostScript format. The detailed steps are as follows:

• Create an object of the Document class.
• Use the Document.LoadFromFile() method to load the Word document.
• Use the Document.SaveToFile(filename:str, FileFormat.PostScript) method to convert the Word document to a PostScript document.

from spire.doc import *
from spire.doc.common import *

# Create a Document object
doc = Document()

# Load a Word document
doc.LoadFromFile("Sample.docx")

# # Save the loaded document as a PostScript document
doc.SaveToFile("Result.ps", FileFormat.PostScript)

# Close the document object and release the resources occupied by the document object
doc.Close()
doc.Dispose()

Convert Word to OFD in Python

By utilizing the Document.SaveToFile() method in the Spire.Doc for Python library and specifying the file format as FileFormat.OFD, you can save a Word document as an OFD file format. The detailed steps are as follows:

• Create an object of the Document class.
• Use the Document.LoadFromFile() method to load the Word document.
• Use the Document.SaveToFile(filename:str, FileFormat.OFD) method to convert the Word document to an OFD document.

from spire.doc import *
from spire.doc.common import *

# Create a Document object
doc = Document()

# Load a Word document
doc.LoadFromFile("Sample.docx")

# Save the loaded document as an OFD document
doc.SaveToFile("Result.ofd", FileFormat.OFD)

# Close the document object and release the resources occupied by the document object
doc.Close()
doc.Dispose()

Get a Free License

To fully experience the capabilities of Spire.Doc for Python without any evaluation limitations, you can request a free 30-day trial license.

Word documents (.doc and .docx) are widely used in business, education, and professional workflows for reports, contracts, manuals, and other essential content. As a C# developer, you may find the need to programmatically read these files to extract information, analyze content, and integrate document data into applications.

In this complete guide, we will delve into the process of reading Word documents in C#. We will explore various scenarios, including:

• Extracting text, paragraphs, and formatting details
• Retrieving images and structured table data
• Accessing comments and document metadata
• Reading headers and footers for comprehensive document analysis

By the end of this guide, you will have a solid understanding of how to efficiently parse Word documents in C#, allowing your applications to access and utilize document content with accuracy and ease.

Table of Contents

• Set Up Your Development Environment for Reading Word Documents in C#
• Load Word Document (.doc/.docx) in C#
• Read and Extract Content from Word Document in C#
  • Extract Text
  • Read Paragraphs and Formatting Information
  • Extract Images
  • Extract Table Data
  • Read Comments
  • Retrieve Document Metadata
  • Read Headers and Footers
• Advanced Tips and Best Practices for Reading Word Documents in C#
• Conclusion
• FAQs

Set Up Your Development Environment for Reading Word Documents in C#

Before you can read Word documents in C#, it’s crucial to ensure that your development environment is properly set up. This section outlines the necessary prerequisites and step-by-step installation instructions to get you ready for seamless Word document handling.

Prerequisites

• Development Environment: Ensure you have Visual Studio or another compatible C# IDE installed.
• .NET Requirement: Ensure you have .NET Framework or .NET Core installed.
• Library Requirement: Spire.Doc for .NET, a versatile library that allows developers to:
  • Create Word documents from scratch
  • Edit and format existing Word documents
  • Read and extract text, tables, images, and other content programmatically
  • Convert Word documents to PDF, HTML, and other formats
  • Work independently without requiring Microsoft Word installation

Install Spire.Doc

To incorporate Spire.Doc into your C# project, follow these steps to install it via NuGet:

1. Open your project in Visual Studio.
2. Right-click on your project in the Solution Explorer and select Manage NuGet Packages.
3. In the Browse tab, search for "Spire.Doc" and click Install.

Alternatively, you can use the Package Manager Console with the following command:

PM> Install-Package Spire.Doc

This installation adds the necessary references, enabling you to programmatically work with Word documents.

Load Word Document (.doc/.docx) in C#

To begin, you need to load a Word document into your project. The following example demonstrates how to load a .docx or .doc file in C#:

using Spire.Doc;
using Spire.Doc.Documents;
using System;

namespace LoadWordExample
{
    class Program
    {
        static void Main(string[] args)
        {
            // Specify the path of the Word document
            string filePath = @"C:\Documents\Sample.docx";

            // Create a Document object
            using (Document document = new Document())
            {
                // Load the Word .docx or .doc document
                document.LoadFromFile(filePath);
            }
        }
    }
}

This code loads a Word file from the specified path into a Document object, which is the entry point for accessing all document elements.

Read and Extract Content from Word Document in C#

After loading the Word document into a Document object, you can access its contents programmatically. This section covers various methods for extracting different types of content effectively.

Extract Text

Extracting text is often the first step in reading Word documents. You can retrieve all text content using the built-in GetText() method:

using (StreamWriter writer = new StreamWriter("ExtractedText.txt", false, Encoding.UTF8))
{
    // Get all text from the document
    string allText = document.GetText();
    
    // Write the entire text to a file
    writer.Write(allText);
}

This method extracts all text, disregarding formatting and non-text elements like images.

Read Paragraphs and Formatting Information

When working with Word documents, it is often useful not only to access the text content of paragraphs but also to understand how each paragraph is formatted. This includes details such as alignment and spacing after the paragraph, which can affect layout and readability.

The following example demonstrates how to iterate through all paragraphs in a Word document and retrieve their text content and paragraph-level formatting in C#:

using (StreamWriter writer = new StreamWriter("Paragraphs.txt", false, Encoding.UTF8))
{
    // Loop through all sections
    foreach (Section section in document.Sections)
    {
        // Loop through all paragraphs in the section
        foreach (Paragraph paragraph in section.Paragraphs)
        {
            // Get paragraph alignment
            HorizontalAlignment alignment = paragraph.Format.HorizontalAlignment;

            // Get spacing after paragraph
            float afterSpacing = paragraph.Format.AfterSpacing;

            // Write paragraph formatting and text to the file
            writer.WriteLine($"[Alignment: {alignment}, AfterSpacing: {afterSpacing}]");
            writer.WriteLine(paragraph.Text);
            writer.WriteLine(); // Add empty line between paragraphs
        }
    }
}

This approach allows you to extract both the text and key paragraph formatting attributes, which can be useful for tasks such as document analysis, conditional processing, or preserving layout when exporting content.

Extract Images

Images embedded within Word documents play a vital role in conveying information. To extract these images, you will examine each paragraph's content, identify images (typically represented as DocPicture objects), and save them for further use:

// Create the folder if it does not exist
string imageFolder = "ExtractedImages";
if (!Directory.Exists(imageFolder))
    Directory.CreateDirectory(imageFolder);

int imageIndex = 1;

// Loop through sections and paragraphs to find images
foreach (Section section in document.Sections)
{
    foreach (Paragraph paragraph in section.Paragraphs)
    {
        foreach (DocumentObject obj in paragraph.ChildObjects)
        {
            if (obj is DocPicture picture)
            {
                // Save each image as a separate PNG file
                string fileName = Path.Combine(imageFolder, $"Image_{imageIndex}.png");
                picture.Image.Save(fileName, System.Drawing.Imaging.ImageFormat.Png);
                imageIndex++;
            }
        }
    }
}

This code saves all images in the document as separate PNG files, with options to choose other formats like JPEG or BMP.

Extract Table Data

Tables are commonly used to organize structured data, such as financial reports or survey results. To access this data, iterate through the tables in each section and retrieve the content of individual cells:

// Create a folder to store tables
string tableDir = "Tables";
if (!Directory.Exists(tableDir))
    Directory.CreateDirectory(tableDir);

// Loop through each section
for (int sectionIndex = 0; sectionIndex < document.Sections.Count; sectionIndex++)
{
    Section section = document.Sections[sectionIndex];
    TableCollection tables = section.Tables;

    // Loop through all tables in the section
    for (int tableIndex = 0; tableIndex < tables.Count; tableIndex++)
    {
        ITable table = tables[tableIndex];
        string fileName = Path.Combine(tableDir, $"Section{sectionIndex + 1}_Table{tableIndex + 1}.txt");

        using (StreamWriter writer = new StreamWriter(fileName, false, Encoding.UTF8))
        {
            // Loop through each row
            for (int rowIndex = 0; rowIndex < table.Rows.Count; rowIndex++)
            {
                TableRow row = table.Rows[rowIndex];

                // Loop through each cell
                for (int cellIndex = 0; cellIndex < row.Cells.Count; cellIndex++)
                {
                    TableCell cell = row.Cells[cellIndex];

                    // Loop through each paragraph in the cell
                    for (int paraIndex = 0; paraIndex < cell.Paragraphs.Count; paraIndex++)
                    {
                        writer.Write(cell.Paragraphs[paraIndex].Text.Trim() + " ");
                    }

                    // Add tab between cells
                    if (cellIndex < row.Cells.Count - 1) writer.Write("\t");
                }

                // Add newline after each row
                writer.WriteLine();
            }
        }
    }
}

This method allows efficient extraction of structured data, making it ideal for generating reports or integrating content into databases.

Read Comments

Comments are valuable for collaboration and feedback within documents. Extracting them is crucial for auditing and understanding the document's revision history.

The Document object provides a Comments collection, which allows you to access all comments in a Word document. Each comment contains one or more paragraphs, and you can extract their text for further processing or save them into a file.

using (StreamWriter writer = new StreamWriter("Comments.txt", false, Encoding.UTF8))
{
    // Loop through all comments in the document
    foreach (Comment comment in document.Comments)
    {
        // Loop through each paragraph in the comment
        foreach (Paragraph p in comment.Body.Paragraphs)
        {
            writer.WriteLine(p.Text);
        }
        // Add empty line to separate different comments
        writer.WriteLine();
    }
}

This code retrieves the content of all comments and outputs it into a single text file.

Retrieve Document Metadata

Word documents contain metadata such as the title, author, and subject. These metadata items are stored as document properties, which can be accessed through the BuiltinDocumentProperties property of the Document object:

using (StreamWriter writer = new StreamWriter("Metadata.txt", false, Encoding.UTF8))
{
    // Write built-in document properties to file
    writer.WriteLine("Title: " + document.BuiltinDocumentProperties.Title);
    writer.WriteLine("Author: " + document.BuiltinDocumentProperties.Author);
    writer.WriteLine("Subject: " + document.BuiltinDocumentProperties.Subject);
}

Read Headers and Footers

Headers and footers frequently contain essential content like page numbers and titles. To programmatically access this information, iterate through each section's header and footer paragraphs and retrieve the text of each paragraph:

using (StreamWriter writer = new StreamWriter("HeadersFooters.txt", false, Encoding.UTF8))
{
    // Loop through all sections
    foreach (Section section in document.Sections)
    {
        // Write header paragraphs
        foreach (Paragraph headerParagraph in section.HeadersFooters.Header.Paragraphs)
        {
            writer.WriteLine("Header: " + headerParagraph.Text);
        }

        // Write footer paragraphs
        foreach (Paragraph footerParagraph in section.HeadersFooters.Footer.Paragraphs)
        {
            writer.WriteLine("Footer: " + footerParagraph.Text);
        }
    }
}

This method ensures that all recurring content is accurately captured during document processing.

Advanced Tips and Best Practices for Reading Word Documents in C#

To get the most out of programmatically reading Word documents, following these tips can help improve efficiency, reliability, and code maintainability:

• Use using Statements: Always wrap Document objects in using to ensure proper memory management.
• Check for Null or Empty Sections: Prevent errors by verifying sections, paragraphs, tables, or images exist before accessing them.
• Batch Reading Multiple Documents: Loop through a folder of Word files and apply the same extraction logic to each file. This helps automate workflows and consolidate extracted content efficiently.

Conclusion

Efficiently reading Word documents programmatically in C# involves handling various content types. With the techniques outlined in this guide, developers can:

• Load Word documents (.doc and .docx) with ease.
• Extract text, paragraphs, and formatting details for thorough analysis.
• Retrieve images, structured table data, and comments.
• Access headers, footers, and document metadata for complete insights.

FAQs

Q1: Can I read Word documents without installing Microsoft Word?

A1: Yes, libraries like Spire.Doc enable you to read and process Word files without requiring Microsoft Word installation.

Q2: Does this support both .doc and .docx formats?

A2: Absolutely, all methods discussed in this guide work seamlessly with both legacy (.doc) and modern (.docx) Word files.

Q3: Can I extract only specific sections of a document?

A3: Yes, by iterating through sections and paragraphs, you can selectively filter and extract the desired content.

XPS, or XML Paper Specification, is a file format developed by Microsoft as an alternative to PDF (Portable Document Format). Similar to PDF, XPS is specifically designed to preserve the visual appearance and layout of documents across different platforms and devices, ensuring consistent viewing regardless of the software or hardware being used.

Converting PDF files to XPS format offers several notable benefits. Firstly, XPS files are fully supported within the Windows ecosystem. If you work in a Microsoft-centric environment that heavily relies on Windows operating systems and Microsoft applications, converting PDF files to XPS guarantees smooth compatibility and an optimized viewing experience tailored to the Windows platform.

Secondly, XPS files are optimized for printing, ensuring precise reproduction of the document on paper. This makes XPS the preferred format when high-quality printed copies of the document are required.

Lastly, XPS files are based on XML, a widely adopted standard for structured data representation. This XML foundation enables easy extraction and manipulation of content within the files, as well as seamless integration of file content with other XML-based workflows or systems.

In this article, we will demonstrate how to convert PDF files to XPS format in Python using Spire.PDF for Python.

Install Spire.PDF for Python

This scenario requires Spire.PDF for Python and plum-dispatch v1.7.4. They can be easily installed in your Windows through the following pip command.

pip install Spire.PDF

If you are unsure how to install, please refer to this tutorial: How to Install Spire.PDF for Python on Windows

Convert PDF to XPS in Python

Converting a PDF file to the XPS file format is very easy with Spire.PDF for Python. Simply load the PDF file using the PdfDocument.LoadFromFile() method, and then save the PDF file to the XPS file format using the PdfDocument.SaveToFile(filename:str, fileFormat:FileFormat) method. The detailed steps are as follows:

• Create an object of the PdfDocument class.
• Load the sample PDF file using the PdfDocument.LoadFromFile() method.
• Save the PDF file to the XPS file format using the PdfDocument.SaveToFile (filename:str, fileFormat:FileFormat) method.

from spire.pdf.common import *
from spire.pdf import *

# Specify the input and output file paths
inputFile = "sample.pdf"
outputFile = "ToXPS.xps"

# Create an object of the PdfDocument class
pdf = PdfDocument()
# Load the sample PDF file
pdf.LoadFromFile(inputFile)

# Save the PDF file to the XPS file format
pdf.SaveToFile(outputFile, FileFormat.XPS)
# Close the PdfDocument object
pdf.Close()

Apply for a Temporary License

If you'd like to remove the evaluation message from the generated documents, or to get rid of the function limitations, please request a 30-day trial license for yourself.