Convert DOCBOOK to TSV

Why Convert DocBook to TSV?

Converting DocBook to TSV extracts tabular data from structured technical documentation into a simple, flat format that can be immediately opened in spreadsheet applications or imported into databases. DocBook documents frequently contain data tables with inventories, specifications, test results, and reference data that are more useful in a spreadsheet-compatible format for analysis and manipulation.

TSV (Tab-Separated Values) offers advantages over CSV for data exchange because tab characters rarely appear in natural text data, eliminating most quoting and escaping issues. When you copy data from a spreadsheet and paste it into a text editor, the result is naturally TSV. This simplicity makes TSV ideal for data that contains commas, addresses, or descriptive text in cell values.

The conversion process identifies all <table> and <informaltable> elements in the DocBook source and extracts their content into TSV format. Header rows from <thead> become the first line of TSV output. Data rows from <tbody> follow with tab-separated values. Multiple tables in a single document can be extracted as separate TSV files or concatenated with separator lines.

This conversion is especially useful for data analysts, researchers, and engineers who need to work with data documented in DocBook format. Instead of manually copying table data, the conversion automatically extracts all tabular content into a format that Excel, Google Sheets, pandas, R, and database import tools can process directly.

Key Benefits of Converting DocBook to TSV:

• Spreadsheet Ready: Opens directly in Excel, Google Sheets, LibreOffice
• No Escaping: Tab delimiters avoid comma-in-data quoting problems
• Data Analysis: Import directly into pandas, R, or database tools
• Table Extraction: Pull structured data from complex documentation
• Database Import: Use LOAD DATA or COPY commands for direct import
• Clipboard Friendly: Paste TSV data directly into spreadsheets
• Universal: Every data tool supports tab-delimited format

Practical Examples

Example 1: Server Inventory Table

Input DocBook file (inventory.xml):

<table xmlns="http://docbook.org/ns/docbook">
  <title>Production Servers</title>
  <tgroup cols="4">
    <thead>
      <row>
        <entry>Host</entry><entry>IP</entry>
        <entry>OS</entry><entry>RAM</entry>
      </row>
    </thead>
    <tbody>
      <row>
        <entry>web-01</entry><entry>10.0.1.10</entry>
        <entry>Ubuntu 22.04</entry><entry>16 GB</entry>
      </row>
      <row>
        <entry>db-01</entry><entry>10.0.1.20</entry>
        <entry>RHEL 9</entry><entry>64 GB</entry>
      </row>
    </tbody>
  </tgroup>
</table>

Output TSV file (inventory.tsv):

Host	IP	OS	RAM
web-01	10.0.1.10	Ubuntu 22.04	16 GB
db-01	10.0.1.20	RHEL 9	64 GB

Example 2: Test Results Extraction

Input DocBook file (test-results.dbk):

<table xmlns="http://docbook.org/ns/docbook">
  <title>Performance Benchmarks</title>
  <tgroup cols="3">
    <thead>
      <row>
        <entry>Test</entry>
        <entry>Duration (ms)</entry>
        <entry>Status</entry>
      </row>
    </thead>
    <tbody>
      <row>
        <entry>API Response</entry>
        <entry>45</entry>
        <entry>PASS</entry>
      </row>
      <row>
        <entry>DB Query</entry>
        <entry>120</entry>
        <entry>PASS</entry>
      </row>
      <row>
        <entry>File Upload</entry>
        <entry>890</entry>
        <entry>WARN</entry>
      </row>
    </tbody>
  </tgroup>
</table>

Output TSV file (test-results.tsv):

Test	Duration (ms)	Status
API Response	45	PASS
DB Query	120	PASS
File Upload	890	WARN

Example 3: Configuration Reference

Input DocBook file (config-ref.xml):

<table xmlns="http://docbook.org/ns/docbook">
  <title>Environment Variables</title>
  <tgroup cols="3">
    <thead>
      <row>
        <entry>Variable</entry>
        <entry>Default</entry>
        <entry>Description</entry>
      </row>
    </thead>
    <tbody>
      <row>
        <entry>APP_PORT</entry>
        <entry>3000</entry>
        <entry>HTTP server port</entry>
      </row>
      <row>
        <entry>DB_URL</entry>
        <entry>localhost:5432</entry>
        <entry>Database connection string</entry>
      </row>
    </tbody>
  </tgroup>
</table>

Output TSV file (config-ref.tsv):

Variable	Default	Description
APP_PORT	3000	HTTP server port
DB_URL	localhost:5432	Database connection string

Frequently Asked Questions (FAQ)

Q: What is TSV format?

A: TSV (Tab-Separated Values) is a plain text format for storing tabular data where columns are separated by tab characters (U+0009) and rows by newlines. TSV is registered with IANA as text/tab-separated-values. It is simpler than CSV because tab characters rarely appear in data values, reducing quoting and escaping complexity.

Q: How does the converter extract tables from DocBook?

A: The converter identifies all <table> and <informaltable> elements in the DocBook document. It extracts header rows from <thead> and data rows from <tbody>. Each <entry> element becomes a tab-separated field. If a document contains multiple tables, they can be output as separate TSV files or combined with blank-line separators.

Q: What is the difference between TSV and CSV?

A: TSV uses tab characters as delimiters while CSV uses commas. TSV's main advantage is that tab characters rarely appear in natural data, so values do not need quoting or escaping. CSV requires quoting values that contain commas, double quotes, or newlines. TSV is often preferred for data containing addresses, descriptions, or other text with commas.

Q: Can I open TSV files in Excel?

A: Yes, Excel, Google Sheets, and LibreOffice Calc all open TSV files natively. In Excel, you can open a .tsv file directly, and Excel will automatically detect the tab delimiter. You can also use Data > From Text and specify tab as the delimiter. Google Sheets handles TSV files through the import function with automatic delimiter detection.

Q: What happens to non-table content in the DocBook file?

A: Since TSV is a pure tabular data format, non-table content (paragraphs, lists, code blocks, headings) is not included in the TSV output by default. The converter focuses on extracting tabular data. Section titles may optionally be included as comment lines (prefixed with #) to provide context for the data tables that follow.

Q: How are merged cells handled?

A: DocBook supports cell spanning through the morerows and namest/nameend attributes. Since TSV is a flat format that does not support merged cells, spanning cells are expanded. A cell spanning two columns is repeated in both positions. A cell spanning two rows appears in both rows. This ensures the TSV has consistent column counts across all rows.

Q: Can I import the TSV output into a database?

A: Yes, most databases support TSV import. MySQL uses LOAD DATA INFILE with FIELDS TERMINATED BY '\t'. PostgreSQL uses COPY with DELIMITER E'\t'. SQLite uses .import with .mode tabs. Python's pandas library reads TSV with pd.read_csv('file.tsv', sep='\t'). The clean tabular structure makes database import straightforward.

Q: Can I convert TSV back to DocBook?

A: Yes, our converter supports TSV to DocBook conversion. The reverse process reads the TSV data, treats the first row as table headers, and generates a DocBook <table> with proper <tgroup>, <thead>, and <tbody> structure. This is useful for incorporating spreadsheet data into DocBook documentation projects.