Convert DOCX to XML
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Max file size 100mb.
Max file size 100mb.
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DOCX vs XML Format Comparison
Aspect | DOCX (Source Format) | XML (Target Format) |
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Format Overview |
DOCX
Office Open XML Document
Microsoft Word's document format with rich formatting, complex layouts, and embedded media. Internally uses XML but in compressed ZIP archive. Binary Archive Document Format |
XML
eXtensible Markup Language
Universal markup language for structured data representation. Human and machine-readable format for data exchange and storage. Text Format Data Standard |
Technical Specifications |
Structure: ZIP with multiple XML files
Standard: ECMA-376 Encoding: UTF-8/UTF-16 Compression: ZIP compression Extensions: .docx, .docm |
Structure: Hierarchical tree
Standard: W3C Recommendation Encoding: UTF-8, UTF-16, others Schema: XSD, DTD, RelaxNG Extensions: .xml |
Data Structure |
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Advantages |
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Disadvantages |
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Common Uses |
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Data Extraction |
Original document contains:
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XML output includes:
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Why Convert DOCX to XML?
Converting DOCX to XML extracts the document's complete structure and content into a universally parseable format. This enables automated processing, data extraction, content management, and integration with various systems and databases.
XML Output Structure:
<?xml version="1.0" encoding="UTF-8"?> <document source="document.docx" format="docx"> <metadata> <paragraphs_count>25</paragraphs_count> <tables_count>3</tables_count> <properties> <title>Document Title</title> <author>Author Name</author> <created>2024-01-01T12:00:00</created> </properties> </metadata> <content> <paragraphs> <paragraph index="0" style="Heading 1" type="heading" level="1"> <text>Document Title</text> <runs> <run index="0"> <text>Document Title</text> <formatting> <bold>true</bold> <size>16</size> </formatting> </run> </runs> </paragraph> </paragraphs> <tables> <table index="0" rows="3" columns="4"> <row index="0"> <cell index="0"> <text>Cell Content</text> </cell> </row> </table> </tables> </content> <statistics> <total_words>500</total_words> <total_characters>2500</total_characters> </statistics> </document>
What is extracted:
- Document Metadata: Author, title, creation date, modification date
- Content Structure: Paragraphs with complete hierarchy
- Text Formatting: Bold, italic, underline, fonts, sizes, colors
- Paragraph Styles: Headings, normal text, list items
- Tables: Complete structure with rows and cells
- Text Runs: Individual formatted text segments
- Statistics: Word count, character count, element counts
Use cases:
- Content Management: Extract and store document content in databases
- Data Mining: Analyze document structure and content
- System Integration: Feed document data to other applications
- Archival: Long-term storage in open format
- Transformation: Convert to other formats via XSLT
- Search Indexing: Extract text for search engines
Working with XML output:
Python Example:
import xml.etree.ElementTree as ET tree = ET.parse('document.xml') root = tree.getroot() # Extract all paragraphs for para in root.findall('.//paragraph'): text = para.find('text').text style = para.get('style') print(f"{style}: {text}") # Get document statistics stats = root.find('statistics') words = stats.find('total_words').text print(f"Total words: {words}")
XSLT Transformation:
<xsl:stylesheet version="1.0" xmlns:xsl="http://www.w3.org/1999/XSL/Transform"> <xsl:template match="/document"> <html> <body> <xsl:for-each select="content/paragraphs/paragraph"> <p><xsl:value-of select="text"/></p> </xsl:for-each> </body> </html> </xsl:template> </xsl:stylesheet>
Best practices:
- Validate XML output against a schema if needed
- Use XML parsers for processing, not string manipulation
- Consider compression for large XML files
- Implement proper error handling for malformed documents
- Use XPath for efficient data extraction