BYTETOOLS

SQL INSERT Parser

Convert SQL INSERT statements to CSV or JSON online. Parse quoted strings, NULLs, numbers and multi-row VALUES lists directly in your browser.

  • Handles multi-row VALUES lists and multiple statements
  • Parses quoted strings, escaped quotes, NULL, booleans and numbers
  • Output as CSV or JSON with one toggle
  • Uses the INSERT column list as headers automatically
  • 100% private — SQL never leaves your browser
  • Copy to clipboard or download the result

How to use the SQL INSERT Parser

  1. 1

    Paste one or more SQL INSERT INTO … VALUES (…) statements into the input box.

  2. 2

    Choose CSV or JSON as the output format.

  3. 3

    Click Parse to extract the rows into a table structure.

  4. 4

    Review the row and column counts, then Copy the result or Download it as a .csv or .json file.

About the SQL INSERT Parser

The ByteTools SQL INSERT Parser turns one or more SQL INSERT INTO statements into clean CSV or JSON. It reads the column list and every VALUES tuple, handling quoted strings, escaped quotes, NULL, booleans and numbers so you get ready-to-use tabular data without writing a script.

It is built for developers, analysts and DBAs who need to migrate seed data, inspect a database dump, or move rows into a spreadsheet or API payload. Multi-row inserts and several statements at once are supported, and you pick CSV or JSON with a single toggle.

Everything runs 100% locally in your browser using JavaScript. Your SQL is never uploaded, logged or stored, so it stays private — safe for production dumps, internal schemas and confidential seed data.

Frequently asked questions

How do I convert an SQL INSERT statement to CSV?

Paste the INSERT INTO statement, select CSV as the output format and click Parse. The tool reads the column list for the header row and each VALUES tuple becomes a data row, which you can copy or download as a .csv file.

Does it handle multiple INSERT statements at once?

Yes. You can paste several INSERT statements or a multi-row VALUES (…),(…) list. Every row is parsed and combined into a single CSV or JSON output using the columns from your statements.

How are NULL values handled?

NULL becomes an empty cell in CSV output and a JSON null in JSON output, so the distinction between an empty string and a missing value is preserved. Numbers stay numeric and quoted strings become text.

Is my SQL uploaded to a server?

No. Parsing happens entirely in your browser with JavaScript. Nothing is transmitted or stored, making the tool safe for confidential database dumps and production seed data.

What if there is no column list in the INSERT?

If the statement omits the column names, the parser generates generic headers like column1, column2 based on the widest row, so you still get well-formed CSV or JSON you can rename afterwards.

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