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SQL to CSV / Table Extractor

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Rows
Columns

Extracted table will appear here.

What is SQL to CSV / Table Extractor?

This tool extracts row data from SQL INSERT statements and turns it into a readable table and CSV output.

It is useful for debugging dumps, checking seed data, exporting SQL values into spreadsheets, and quickly previewing inserted rows.

How to use SQL to CSV / Table Extractor

  1. Paste an SQL INSERT statement into the input field.
  2. Choose whether to use INSERT column names and whether to include a header row.
  3. Click Extract table.
  4. Review the table preview and copy the CSV output if needed.

Tips

  • This tool works best with INSERT INTO ... VALUES (...) statements.
  • Quoted strings, NULL values, and escaped single quotes are supported.
  • Using INSERT column names gives you cleaner CSV headers.
  • The CSV output is useful for spreadsheets, QA checks, and quick exports.

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SQL to CSV / Table Extractor FAQ

Can this tool convert SQL INSERT statements to CSV?
Yes. It extracts row values from SQL INSERT statements and generates CSV output.
Can it preview the result as a table?
Yes. It shows extracted rows in a table before or alongside the CSV output.
Does it support NULL values and quoted strings?
Yes. NULL values are handled, and quoted strings are parsed correctly in common SQL INSERT patterns.
Is my SQL stored?
No. Everything runs directly in your browser.
Can I export the result as TSV or JSON too?
Yes. In addition to CSV, this tool also generates TSV and JSON output from the extracted SQL rows.
Does it support INSERT ... SET and plain VALUES too?
Yes. This version supports INSERT ... VALUES, INSERT ... SET, and standalone VALUES blocks.
Can I download the result as CSV, TSV, or JSON?
Yes. You can copy or download all three formats directly from the tool.
Can I download the result as YAML or JSON?
Yes. You can download the generated YAML output or the parsed JSON preview directly from the tool.
Does it show YAML parse errors with line and column?
Yes. The tool highlights parse errors and shows line and column details when available.
Is there a tree view of the parsed structure?
Yes. This version includes a structure tree so you can inspect objects, arrays, and scalar values more easily.
Can I upload a YAML or JSON file instead of pasting text?
Yes. You can drag and drop a file or select it manually from your device.
Can I copy a path from the parsed tree?
Yes. Each node in the structure tree includes a clickable path that can be copied.
Can I collapse and expand the parsed tree?
Yes. Individual branches can be toggled, and you can also expand or collapse the whole tree.