Convert SXW to SQL

Drag and drop files here or click to select.
Max file size 100mb.

Uploading progress:

SXW vs SQL Format Comparison

Aspect	SXW (Source Format)	SQL (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	SQL Structured Query Language SQL is a standard language for managing and manipulating relational databases. SQL files contain statements for creating tables, inserting data, querying records, and managing database schema. It is used by virtually all relational database systems including MySQL, PostgreSQL, SQLite, and Microsoft SQL Server. Database Query Language
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: Plain text with SQL statements Encoding: UTF-8 or ASCII Standard: ISO/IEC 9075 (SQL standard) MIME Type: application/sql Extension: .sql
Syntax Examples	SXW contains XML content within a ZIP archive: <!-- content.xml inside .sxw --> <office:body> <text:p text:style-name="Standard"> Meeting Notes </text:p> <text:p text:style-name="Standard"> Discuss project timeline </text:p> </office:body>	SQL uses structured statements for data operations: CREATE TABLE documents ( id INTEGER PRIMARY KEY, title TEXT, content TEXT ); INSERT INTO documents (title, content) VALUES ('Meeting Notes', 'Discuss project timeline');
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	CREATE, ALTER, DROP table statements INSERT, UPDATE, DELETE data operations SELECT queries with joins and filters Data types (TEXT, INTEGER, REAL, BLOB) Indexes, constraints, and foreign keys Stored procedures and functions Transaction control statements
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	Universal database language standard Human-readable plain text format Portable across database systems Supports structured data relationships Easy to version control and audit Can be executed directly by database engines
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 content storage SQL dialect differences across databases No native formatting or styling support Requires a database engine to process Potential injection vulnerabilities if mishandled
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	Database schema definitions Data import/export and migration Application data seeding Backup and restore operations Content management system storage
Best For	Opening legacy StarOffice/OpenOffice files Accessing archived document content Migrating older documents to modern formats Working with pre-ODF office documents	Storing document content in databases Data migration and ETL pipelines Content indexing and search systems Structured data interchange
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: 1974 (SEQUEL by IBM) Standardized: 1986 (SQL-86 by ANSI/ISO) Latest Standard: SQL:2023 (ISO/IEC 9075:2023) Status: Active, universal standard
Software Support	LibreOffice: Full read/write support OpenOffice: Native format support Pandoc: Reads SXW as ODT variant Calligra Suite: Import support	MySQL/MariaDB: Full SQL support PostgreSQL: Full SQL support with extensions SQLite: Lightweight SQL database Tools: DBeaver, pgAdmin, MySQL Workbench

Why Convert SXW to SQL?

Converting SXW to SQL enables you to extract text content from legacy StarOffice and OpenOffice.org Writer documents and store it in a structured database format. This is particularly useful for organizations that need to migrate large collections of archived SXW documents into content management systems or searchable databases.

SQL provides a standardized way to store and query document content. By converting SXW files to SQL INSERT statements, you can load document text, metadata, and structural information into relational databases. This enables full-text search, content analysis, and integration with web applications and reporting tools.

The conversion process extracts text paragraphs, headings, and metadata from the SXW XML structure and generates SQL statements that can be executed against any relational database. This approach is valuable for document digitization projects where legacy files need to be indexed and made searchable.

Our converter parses the SXW ZIP archive, reads the content.xml and meta.xml files, and produces clean SQL output with properly escaped text values. The generated SQL is compatible with standard database systems including MySQL, PostgreSQL, and SQLite.

Key Benefits of Converting SXW to SQL:

Database Storage: Store legacy document content in structured relational databases
Full-Text Search: Enable searchable access to archived SXW document content
Data Migration: Move legacy document data into modern content management systems
Automation: Execute SQL scripts to batch-load document content into databases
Integration: Connect legacy document content with web applications and APIs
Standardized Format: SQL is universally supported by all relational database systems

Practical Examples

Example 1: Document Archive Migration

An IT department has hundreds of SXW files from a decommissioned StarOffice server. Converting them to SQL allows batch insertion into a PostgreSQL database, enabling employees to search and retrieve document content through a web interface rather than opening individual files.

Example 2: Content Management Integration

A publishing company needs to import legacy SXW manuscripts into their CMS. Converting to SQL generates INSERT statements that populate the content database directly, preserving document titles, authors, and text content in structured database fields ready for the CMS frontend.

Example 3: Compliance Audit

A legal firm must index legacy SXW policy documents for compliance auditing. Converting to SQL enables loading all document text into a searchable database where auditors can run queries to find specific clauses, dates, or policy references across the entire document collection.

Frequently Asked Questions (FAQ)

Q: What SQL dialect does the converter produce?

A: The converter generates standard ANSI SQL that is compatible with MySQL, PostgreSQL, SQLite, and most other relational database systems. The output uses basic CREATE TABLE and INSERT statements with properly escaped string values.

Q: How is the SXW document content structured in SQL?

A: The converter extracts text content from the SXW file and generates SQL statements that store paragraphs, headings, and metadata as text fields. The output typically includes table creation and INSERT statements with document content organized by section or paragraph.

Q: Are SXW images converted to SQL?

A: The converter focuses on text content extraction. Embedded images in SXW files are not included in the SQL output. If you need to store images, consider converting to a format that preserves them (such as DOCX or PDF) or extracting images separately.

Q: Can I import the SQL output into MySQL?

A: Yes. The generated SQL file can be imported directly into MySQL using the mysql command-line tool, MySQL Workbench, or phpMyAdmin. Simply execute the SQL file against your target database to create the table and insert the document content.

Q: Is document formatting preserved in SQL?

A: SQL is a plain text data format, so visual formatting like bold, italic, and font styles are not preserved. The conversion focuses on extracting the textual content from the SXW document. If you need to maintain formatting, consider converting to RTF, DOCX, or HTML instead.

Q: How are special characters handled?

A: The converter properly escapes special characters (such as single quotes, backslashes, and Unicode characters) in the SQL output to prevent syntax errors and SQL injection issues. All text values are safely quoted in the generated statements.

Q: Can I convert multiple SXW files into a single SQL file?

A: Each SXW file is converted to its own SQL file. However, since SQL files are plain text, you can easily concatenate multiple output files into a single SQL script for batch database loading.

Q: What is the difference between SXW and ODT?

A: SXW is the older StarOffice XML format introduced in 2002, while ODT is its successor based on the standardized OpenDocument Format (ODF) adopted in 2005. Both are ZIP archives containing XML, but they use different XML schemas. Modern office suites handle both formats similarly.