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SQL conversion problem

Fix SQL INSERT-to-CSV Parsing Errors

Extract tabular values from SQL INSERT statements while respecting quoted strings, NULLs, escapes and column order.

Use the matching tool

SQL INSERT to CSV

Open SQL INSERT to CSV

What the error actually means

SQL INSERT syntax is not CSV. Commas can occur inside string literals, statements may specify different column lists, and database dialects escape text differently. A converter must parse the statement structure instead of splitting on commas.

Likely causes

  • Values contain commas or apostrophes.
  • Statements use different column orders.
  • The dump contains unsupported SQL expressions.
  • Dialect-specific escaping is present.

SQL-aware parsing

Problem

Split VALUES (1, 'Lagos, Nigeria') on commas

Correct pattern

Parse the SQL literal so Lagos, Nigeria remains one field

A safe repair workflow

  1. 1One table per file. Supports quoted identifiers, strings, numbers, NULL, and booleans. Functions, schema statements, and full database dumps are rejected. Choose the SQL dialect for backslash handling.
  2. 2Identify the SQL dialect and statement pattern.
  3. 3Test strings containing commas, quotes and NULL.
  4. 4Align explicit column lists.
  5. 5Compare extracted counts with source tuples.

How to verify the result

A file that downloads successfully is not automatically a correct file. Check the result at both the structural and business-data levels:

  • String literals remain intact.
  • NULL is handled deliberately.
  • Column order is consistent.
  • Every supported tuple becomes one row.

Read the deeper guides

Generate SQL INSERT Statements from CSVConvert CSV data into SQL INSERT statements. A guide for developers to quickly populate databases from spreadsheet data.Import CSV to MySQL/PostgreSQL (Step-by-Step Guide)Learn how to import CSV files into MySQL and PostgreSQL databases. Command-line and GUI methods with error handling and best practices.