Convert SXW to CSV
Max file size 100mb.
SXW vs CSV Format Comparison
| Aspect | SXW (Source Format) | CSV (Target Format) |
|---|---|---|
| Format Overview |
SXW
StarOffice/OpenOffice.org Writer Document
SXW is a legacy word processing document format used by StarOffice and early versions of OpenOffice.org Writer. It is a ZIP archive containing XML files (content.xml, styles.xml, meta.xml) that define the document structure, formatting, and metadata. SXW was the predecessor to the modern ODT format and can still be opened by LibreOffice and OpenOffice. Legacy Format ZIP/XML-Based |
CSV
Comma-Separated Values
CSV is a simple, plain text format for storing tabular data where each row is a line and columns are separated by commas. It is universally supported by spreadsheet applications, databases, programming languages, and data analysis tools. CSV files are lightweight, human-readable, and ideal for data exchange between systems. Tabular Data Plain Text |
| Technical Specifications |
Structure: ZIP archive containing XML files (content.xml, styles.xml, meta.xml)
Developed By: Sun Microsystems (StarOffice/OpenOffice.org) MIME Type: application/vnd.sun.xml.writer Extension: .sxw Based On: OpenOffice.org XML format (pre-ODF) |
Structure: Plain text with delimiter-separated fields
Standard: RFC 4180 (Common Format and MIME Type) MIME Type: text/csv Delimiter: Comma (,) by default; semicolons in some locales Extension: .csv |
| Syntax Examples |
SXW tables are stored as XML within the ZIP archive: <table:table table:name="Table1">
<table:table-row>
<table:table-cell>
<text:p>Name</text:p>
</table:table-cell>
<table:table-cell>
<text:p>Age</text:p>
</table:table-cell>
</table:table-row>
<table:table-row>
<table:table-cell>
<text:p>Alice</text:p>
</table:table-cell>
<table:table-cell>
<text:p>30</text:p>
</table:table-cell>
</table:table-row>
</table:table>
|
CSV represents data as plain text rows: Name,Age,Department,Salary Alice,30,Engineering,75000 Bob,25,Marketing,55000 Charlie,35,Sales,65000 "Smith, Jane",28,HR,60000 |
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| Version History |
Introduced: 2002 with StarOffice 6.0 / OpenOffice.org 1.0
Developer: Sun Microsystems Superseded By: ODT (ODF 1.0, 2005) Status: Legacy format, read-only support in modern software |
Origin: 1972 (IBM Fortran)
Standardized: 2005 (RFC 4180) MIME Type: text/csv (registered 2005) Status: Universal standard, ubiquitous support |
| Software Support |
Office Suites: LibreOffice, Apache OpenOffice
Converters: Pandoc (reads as ODT), unoconv Legacy: StarOffice 6.0+, OpenOffice.org 1.x-2.x Platforms: Windows, macOS, Linux |
Spreadsheets: Excel, Google Sheets, LibreOffice Calc
Databases: MySQL, PostgreSQL, SQLite, MongoDB Languages: Python (csv/pandas), R, JavaScript, Java Tools: Any text editor, data analysis platforms |
Why Convert SXW to CSV?
Converting SXW to CSV allows you to extract tabular data from legacy StarOffice/OpenOffice.org Writer documents into a universally compatible format. Tables embedded in SXW documents can contain valuable structured data such as financial reports, inventory lists, or research data that is better served in a CSV format for analysis and processing.
CSV is the most widely supported data exchange format, compatible with virtually every spreadsheet application, database system, and programming language. By converting SXW tables to CSV, you can import the data into Excel, Google Sheets, Python pandas, R, SQL databases, or any other data processing tool without compatibility concerns.
Legacy SXW documents from the early 2000s may contain important tabular data trapped in an obsolete format. Converting to CSV liberates this data from the SXW container, making it accessible for modern data analysis, reporting, and business intelligence workflows. CSV files are also significantly smaller than SXW files since they contain only raw data without formatting.
The converter parses the SXW ZIP archive, identifies table elements in the content.xml, and extracts cell values into properly formatted CSV rows with comma delimiters and quoted fields where necessary. Non-table content like headings and paragraphs can optionally be included as single-column rows for context.
Key Benefits of Converting SXW to CSV:
- Universal Compatibility: CSV files work with every spreadsheet and database application
- Data Liberation: Extract structured data from legacy SXW documents
- Lightweight: CSV files are much smaller than SXW, containing only raw data
- Analysis Ready: Directly import into Python, R, Excel, or SQL databases
- Plain Text: Human-readable format that can be edited with any text editor
- Automation Friendly: CSV files are easy to process with scripts and ETL pipelines
Practical Examples
Example 1: Employee Directory
Input SXW file (directory.sxw):
A StarOffice Writer document containing an employee directory table with names, departments, phone numbers, and email addresses.
Output CSV file (directory.csv):
Name,Department,Phone,Email "Smith, John",Engineering,555-0101,[email protected] "Doe, Jane",Marketing,555-0102,[email protected] "Wilson, Bob",Finance,555-0103,[email protected] "Brown, Alice",HR,555-0104,[email protected]
Example 2: Sales Report
Input SXW file (sales.sxw):
A legacy OpenOffice.org Writer document with quarterly sales figures in a formatted table.
Output CSV file (sales.csv):
Product,Q1,Q2,Q3,Q4,Total Widget A,15000,18000,22000,25000,80000 Widget B,8000,9500,11000,12000,40500 Widget C,3000,4000,5500,6000,18500
Example 3: Research Data
Input SXW file (research.sxw):
An academic document containing a data table from a research study with experimental results.
Output CSV file (research.csv):
Sample ID,Temperature,Pressure,Duration,Result S-001,25.3,1.01,120,Positive S-002,30.1,1.05,90,Negative S-003,22.7,0.98,150,Positive S-004,28.5,1.03,110,Positive
Frequently Asked Questions (FAQ)
Q: How does the converter handle SXW documents with multiple tables?
A: When an SXW document contains multiple tables, the converter extracts data from all tables and combines them in the CSV output. Each table's data is separated by a blank row for clarity, and headers from each table are preserved as column names.
Q: What happens to non-table content in the SXW document?
A: The primary focus of SXW to CSV conversion is tabular data. Non-table content such as headings, paragraphs, and images is not included in the CSV output since CSV is designed exclusively for structured, tabular data. If you need to preserve all content, consider converting to a different format like TXT or HTML.
Q: How are merged cells handled in the conversion?
A: CSV does not support merged cells. When the converter encounters merged cells in an SXW table, it places the cell content in the first cell of the merged range and leaves the remaining cells empty. This preserves the data while maintaining proper column alignment.
Q: What delimiter does the CSV output use?
A: The converter uses commas as the default delimiter following the RFC 4180 standard. Fields containing commas, double quotes, or newlines are properly quoted with double quotes. This ensures the CSV can be correctly parsed by any standard CSV reader.
Q: Can I open the CSV output in Excel?
A: Yes, CSV files can be opened directly in Microsoft Excel, Google Sheets, LibreOffice Calc, and any other spreadsheet application. Simply double-click the CSV file or use the Import function for more control over delimiter and encoding settings.
Q: What character encoding does the CSV output use?
A: The CSV output uses UTF-8 encoding, which supports all Unicode characters including accented letters, Asian characters, and special symbols. This ensures that text from the SXW document is preserved correctly regardless of the original language.
Q: Can I use the CSV data with Python or R?
A: Yes, the CSV output is fully compatible with Python's csv module, pandas library (pd.read_csv()), and R's read.csv() function. These tools can parse the CSV data into data frames for analysis, visualization, and statistical processing.
Q: How does the converter handle numbers and dates in SXW tables?
A: Numbers and dates are extracted as text values in the CSV output. CSV does not have native data types, so all values are stored as strings. When importing into a spreadsheet or database, you may need to convert date and number columns to their appropriate data types.