Convert SXW to TOML

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SXW vs TOML Format Comparison

Aspect SXW (Source Format) TOML (Target Format)
Format Overview
SXW
StarOffice/OpenOffice.org Writer Document

SXW is a legacy 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 is still readable by LibreOffice, OpenOffice, and Pandoc.

Legacy Document ZIP/XML Archive
TOML
Tom's Obvious Minimal Language

TOML is a minimal configuration file format designed to be easy to read and write. It maps unambiguously to a hash table and is used extensively in modern software projects for configuration, particularly in Rust (Cargo.toml), Python (pyproject.toml), and Hugo static site generator.

Configuration Key-Value
Technical Specifications
Structure: ZIP archive containing XML files
Creator: StarOffice/OpenOffice.org Writer
Content Files: content.xml, styles.xml, meta.xml
MIME Type: application/vnd.sun.xml.writer
Extension: .sxw
Structure: Key-value pairs with sections (tables)
Encoding: UTF-8 (required)
Data Types: String, Integer, Float, Boolean, Date, Array, Table
MIME Type: application/toml
Extension: .toml
Syntax Examples

SXW contains XML content within a ZIP archive:

<!-- content.xml inside .sxw -->
<office:body>
  <text:p text:style-name="Heading1">
    Configuration Guide
  </text:p>
  <text:p text:style-name="Standard">
    Server settings and options.
  </text:p>
</office:body>

TOML uses clear key-value syntax:

title = "Configuration Guide"

[document]
content = "Server settings and options."
format = "sxw"

[metadata]
author = "StarOffice User"
created = 2003-06-15
Content Support
  • Formatted text with styles and fonts
  • Tables, lists, and nested structures
  • Embedded images and objects
  • Headers, footers, and page numbering
  • Footnotes and endnotes
  • Document metadata (author, title, date)
  • Table of contents and indexes
  • Key-value pairs with typed values
  • Tables (sections) and nested tables
  • Arrays and inline tables
  • Multi-line strings (basic and literal)
  • Date, time, and datetime values
  • Comments (# line comments)
  • Dotted keys for nesting
Advantages
  • Open XML-based document format
  • Compressed ZIP archive for smaller file sizes
  • Supports complex document structures
  • Metadata preserved in separate XML files
  • Still readable by modern office suites
  • Predecessor to the standardized ODF format
  • Extremely human-readable syntax
  • Unambiguous mapping to data structures
  • Native date/time type support
  • Comments for documentation
  • Growing adoption in modern tooling
  • Simpler than YAML, more readable than JSON
Disadvantages
  • Legacy format superseded by ODT
  • Limited support in newer applications
  • Not an international standard like ODF
  • Complex internal XML structure
  • Fewer editing tools available compared to ODT
  • Not designed for document or prose content
  • Limited nesting depth compared to JSON/YAML
  • No schema validation standard
  • Verbose for deeply nested data
  • Fewer parsers than JSON or YAML
Common Uses
  • Legacy StarOffice and OpenOffice documents
  • Archived office documents from early 2000s
  • Government and institutional legacy files
  • Migration projects to modern formats
  • Historical document preservation
  • Rust project configuration (Cargo.toml)
  • Python project metadata (pyproject.toml)
  • Hugo site configuration
  • Application settings files
  • Infrastructure configuration
Best For
  • Opening legacy StarOffice/OpenOffice files
  • Accessing archived document content
  • Migrating older documents to modern formats
  • Working with pre-ODF office documents
  • Configuration files for applications
  • Project metadata and settings
  • Human-editable structured data
  • Build system and toolchain configuration
Version History
Introduced: 2002 with StarOffice 6.0 / OpenOffice.org 1.0
Based On: XML-based office document format
Superseded By: ODT (ODF 1.0, 2005)
Status: Legacy format, still readable
Introduced: 2013 by Tom Preston-Werner
TOML v1.0: 2021 (first stable release)
Specification: toml.io (official site)
Status: Stable, actively maintained
Software Support
LibreOffice: Full read/write support
OpenOffice: Native format support
Pandoc: Reads SXW as ODT variant
Calligra Suite: Import support
Python: tomllib (built-in 3.11+), tomli
Rust: toml crate (native support)
JavaScript: @iarna/toml, toml-js
Editors: VS Code, IntelliJ with TOML plugins

Why Convert SXW to TOML?

Converting SXW to TOML enables you to extract structured content from legacy StarOffice Writer documents and represent it as clean, readable key-value configuration data. This is useful when document content needs to be consumed by applications that read TOML configuration files, or when metadata from legacy documents needs to be structured for modern tools.

TOML's clear, minimal syntax makes it easy to read and edit. By converting SXW document content and metadata into TOML format, you create a structured representation that can be parsed by virtually any programming language. This is valuable for automating the processing of legacy document collections.

The conversion is particularly relevant for projects that use TOML as their primary configuration format. Document metadata such as titles, authors, dates, and content sections can be mapped to TOML tables and key-value pairs, making the information accessible to build systems, content pipelines, and automation scripts.

Our converter parses the SXW archive, extracts both content and metadata from the XML files, and produces well-structured TOML output. The result uses proper TOML tables, arrays, and data types to represent the document information accurately.

Key Benefits of Converting SXW to TOML:

  • Structured Data: Document content organized as typed key-value pairs
  • Human Readable: TOML is designed to be easy to read and understand
  • Tool Integration: Use document data in Rust, Python, and other TOML-aware tools
  • Metadata Extraction: Document properties preserved as structured TOML data
  • Comment Support: Add explanatory comments to the converted data
  • Type Safety: TOML enforces data types (strings, dates, numbers, booleans)

Practical Examples

Example 1: Document Catalog Generation

An organization needs to create a TOML-based catalog of their archived SXW documents. Converting each SXW file to TOML extracts titles, authors, creation dates, and content summaries into structured data that can be loaded by a Rust or Python application to build a searchable document index.

Example 2: Hugo Content Migration

A website administrator wants to migrate legacy SXW documents into a Hugo static site. Converting to TOML generates front matter data (title, date, author, description) that Hugo uses for content pages. The structured metadata from SXW maps naturally to Hugo's TOML-based front matter format.

Example 3: Configuration from Documentation

A DevOps team has server configuration documentation in SXW format. Converting to TOML produces structured key-value data that can serve as a starting point for actual configuration files, with server names, ports, and settings extracted from the document content into properly typed TOML values.

Frequently Asked Questions (FAQ)

Q: What is TOML format?

A: TOML (Tom's Obvious Minimal Language) is a configuration file format created by Tom Preston-Werner in 2013. It uses a simple key = value syntax with sections (called tables) defined by [section_name] headers. TOML is designed to be unambiguous and maps directly to a dictionary/hash table data structure.

Q: How is SXW document content mapped to TOML?

A: The converter extracts document text, headings, and metadata and organizes them into TOML tables. Document metadata becomes key-value pairs under a [metadata] table, while text content is stored as strings. Sections and chapters can be represented as separate TOML tables.

Q: Can I use the TOML output with Python?

A: Yes. Python 3.11 and later include the tomllib module for reading TOML files. For older Python versions, the tomli package provides the same functionality. The converted TOML file can be loaded into a Python dictionary with a single function call.

Q: Is TOML better than JSON for document data?

A: TOML is more human-readable than JSON thanks to its comment support, native date types, and cleaner syntax for simple structures. However, JSON is better for complex nested data and has broader tool support. The choice depends on your use case.

Q: Are SXW document images preserved in TOML?

A: No. TOML is a text-based configuration format and cannot store binary image data. Only textual content and metadata from the SXW document are included in the TOML output. Images would need to be extracted separately from the SXW archive.

Q: Does TOML support multi-line text content?

A: Yes. TOML supports multi-line basic strings (using triple quotes) and multi-line literal strings. Long document paragraphs from the SXW file are stored using TOML's multi-line string syntax to maintain readability.

Q: Can I use the output as Hugo front matter?

A: The TOML output includes document metadata that can serve as Hugo front matter. You may need to adjust the key names to match Hugo's expected fields (title, date, description, tags), but the structured format is directly compatible with Hugo's TOML front matter syntax.

Q: How are special characters handled in TOML output?

A: TOML strings follow specific escaping rules. The converter properly handles special characters including quotes, backslashes, and Unicode characters in the document text, ensuring the output is valid TOML that can be parsed without errors.