SQL to CSV Converter

A SQL to CSV converter reads SQL INSERT statements and extracts their row data into structured CSV, or runs the conversion in reverse, turning CSV rows into ready-to-run INSERT INTO statements.

Converting SQL to CSV parses standard INSERT INTO syntax, including the column list and the VALUES clause. Multiple value tuples inside one statement and multiple separate INSERT statements are both supported, so a single dump containing dozens of INSERT lines converts in one pass. Converting CSV to SQL treats the first row as column headers by default and builds an INSERT INTO statement for each data row against a configurable table name.

Four delimiters are available for CSV output or input: comma, tab, semicolon, and pipe. A header row can be included in or omitted from CSV output, and a CREATE TABLE statement can be prepended to generated SQL so the script both creates and populates the target table in one file. Quoting every value in single quotes regardless of its type is available for destinations that reject unquoted numeric literals.

Value typing follows SQL conventions on the way into CSV: values enclosed in single or double quotes are treated as strings, unquoted numeric values are preserved as numbers, and the literal NULL, matched case-insensitively, converts to an empty CSV field or to NULL in SQL output depending on direction.

Conversion runs automatically a brief pause after typing stops, in addition to on demand, and every input and setting is retained between sessions.

Switching between SQL and CSV formats is a frequent step in database management, data migration, and analysis workflows. Below are practical scenarios where bidirectional conversion saves time and reduces manual formatting errors.

• Database Migration: Export INSERT statements from one database system, convert them to CSV, review or edit the data in a spreadsheet application, then convert the cleaned CSV back into INSERT statements targeting the new database schema.
• Data Import Preparation: Receive a CSV file from a colleague or a data vendor and generate INSERT INTO statements ready to paste into a database console or include in a migration script without manually writing SQL syntax.
• Backup Verification: Convert SQL dump INSERT statements into CSV format to inspect the row data in a flat, readable layout. Verify record counts, spot NULL or missing values, and confirm data integrity before restoring a backup.
• Spreadsheet to Database: Export a spreadsheet as CSV, then convert it into SQL INSERT statements. Setting the table name and turning on CREATE TABLE generation produces a complete script that creates and populates the target table.
• Report Generation: Pull INSERT statements from application logs or audit trails, convert them to CSV, and open the result in a spreadsheet for filtering, sorting, and chart creation without writing custom extraction queries.
• Testing and QA: Generate INSERT statements from CSV test fixtures to seed a test database. Delimiter settings handle tab-separated or pipe-separated fixture files exported from different testing frameworks.
• Documentation: Convert SQL sample data into CSV tables for inclusion in technical documentation, README files, or wiki pages where a flat tabular format is more readable than raw SQL syntax.
• ETL Pipelines: Integrate the converter into a manual ETL step where data arrives as SQL statements from one system and must be reshaped into CSV for ingestion by another system that only accepts delimited flat files.