SQL to CSV Converterv1.0.0

Transform SQL INSERT statements into structured CSV data or reverse the process to generate SQL from CSV input. Select a conversion direction, paste the source data, adjust settings as needed, and click Convert to produce the output.

• Select the conversion direction using the SQL to CSV or CSV to SQL radio buttons at the top of the tool. The input area updates to match the selected mode.
• For SQL to CSV mode, paste one or more INSERT INTO statements into the SQL Input textarea. The parser recognizes standard INSERT INTO syntax with column lists and VALUES clauses. Multiple value tuples within a single statement and multiple separate INSERT statements are both supported.
• For CSV to SQL mode, paste comma-separated data into the CSV Input textarea or upload a .csv file using the Upload a CSV file input. The first row is treated as column headers by default.
• Open the Settings panel to configure conversion options. Choose from four CSV delimiters: comma, tab, semicolon, or pipe. Set the Table Name for CSV to SQL output. Toggle Include column headers in CSV output to add or remove the header row. Enable Include CREATE TABLE statement to prepend a CREATE TABLE definition to generated SQL. Enable Quote all values in SQL output to wrap every value in single quotes regardless of type.
• Click the Convert button to run the conversion. Results appear in the Output textarea. Click Copy to Clipboard to copy the output or Export CSV to download the result as a .csv file.
• SQL values enclosed in single or double quotes are treated as strings. Unquoted numeric values are preserved as numbers. The literal NULL (case-insensitive) is converted to an empty CSV field or to NULL in SQL output.
• Click Reset to clear all inputs, outputs, and saved settings, restoring every field to its default value.
• All inputs and settings persist automatically in local storage between sessions. Conversion also runs automatically after a brief pause as you type, so manual clicking of the Convert button is optional.

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. Set the table name, toggle CREATE TABLE generation on, and produce 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. Adjust delimiter settings to 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.