What does this SQL to Text converter do?
It extracts data from SQL INSERT statements and pasted query results, then formats rows as readable plain text. Schema mode can summarize CREATE TABLE definitions into a column list.
SQL to Text Converter
Convert SQL INSERT data, query results, and CREATE TABLE schemas into readable plain text.
SQL Input
Conversion options
All conversion runs locally in your browser. Schema mode supports common CREATE TABLE syntax; query explanation for SELECT/JOIN is not included.
Text Output
0 chars · 0 words · 0 lines
How to Use
- Paste SQL INSERT statements, query results, or a CREATE TABLE definition
- Choose input mode and text output format
- Configure NULL handling, row separators, and row numbering
- Review text output, table preview, or audit details
- Copy or download the plain text result
What is SQL to Text conversion?
SQL to Text conversion turns database row data embedded in SQL INSERT statements or pasted query results into human-readable plain text. This is useful when you need to share database exports with non-technical colleagues, create documentation, audit data, or prepare reports without a SQL client.
Example output modes
- Record blocks — one labeled section per row with column values
- Bullet list — compact field lists for quick scanning
- Plain table — tab-separated text resembling a spreadsheet export
- Markdown table — paste-ready markdown for docs and wikis
- Schema summary — CREATE TABLE → column/type list
Common use cases
- Sharing SQL dump data with stakeholders who do not use databases
- Creating readable audit trails from INSERT seed files
- Documenting table schemas from CREATE TABLE scripts
- Converting query result paste-ins into report-friendly text
- Preparing QA fixtures and test data summaries
Frequently Asked Questions
Does this explain SELECT or JOIN queries in natural language?
No. This tool focuses on converting SQL data rows and CREATE TABLE schemas into text. Full query explanation is a separate use case and is not included.
What SQL input formats are supported?
INSERT INTO statements, MySQL-style result tables, PostgreSQL psql output, and generic CSV/TSV/pipe-delimited result rows. Schema mode supports common CREATE TABLE syntax.
What text output modes are available?
Record blocks, key-value lines, bullet lists, paragraph sentences, numbered lists, column-wise groups, plain tab-separated tables, markdown tables, and custom per-row templates.
Does this execute SQL against my database?
No. The tool parses SQL text locally in your browser. No database connection is made.
Is my SQL data uploaded anywhere?
No. Parsing and text generation run entirely in your browser. Your SQL never leaves your device.
How are NULL values handled?
You can output NULLs as empty strings, the literal text NULL, a custom placeholder, or omit the field entirely.
Can I convert CREATE TABLE statements?
Yes. Switch input mode to CREATE TABLE schema to generate a readable column summary with types and constraints when parseable.
What file sizes can it handle?
Small and medium files convert instantly. Large inputs use a Web Worker. Very large text output switches to a virtualized viewer. Performance depends on your device; tens of thousands of rows is a practical upper range.
Can I download the text output?
Yes. Copy to clipboard or download as a .txt file from the output panel.
Which SQL dialects are supported for data conversion?
INSERT parsing is dialect-agnostic. Result-row auto-detection supports MySQL table output, PostgreSQL psql format, and delimited text. Schema mode handles common MySQL, PostgreSQL, SQLite, and SQL Server CREATE TABLE syntax.
Can I skip duplicate rows?
Yes. Enable skip duplicate rows in conversion options to deduplicate identical records before formatting.