SQL INSERT Converter
ConvertersConvert SQL INSERT statements to JSON, CSV, YAML, XML or HTML table instantly in your browser. Paste one or thousands of INSERT rows and get clean, formatted output — free, no signup.
SQL INSERT Statements
JSON Outputjson
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About SQL INSERT Converter
The SQL INSERT Converter parses standard SQL INSERT INTO statements — including multi-row batch inserts — and outputs the data in five formats: JSON array, CSV, YAML, XML and HTML table. It handles quoted string values, numeric types, NULL literals and escaped characters. Processing runs in a Web Worker so even large SQL dumps with thousands of rows convert instantly without freezing the browser.
Features
- ✓Parses single-row and multi-row batch INSERT INTO statements
- ✓Five output formats: JSON, CSV, YAML, XML, HTML table
- ✓Handles quoted strings, numeric types, NULL and escaped characters
- ✓Column names extracted from the INSERT column list
- ✓Web Worker processing — handles thousands of rows without UI freeze
- ✓Auto-detects table name from the SQL statement
- ✓Download output as .json, .csv, .yaml, .xml or .html
- ✓Copy to clipboard in one click
- ✓100% client-side — data never leaves your browser
Common Use Cases
- Converting SQL database dump files to JSON for modern REST APIs
- Extracting data from SQL INSERT scripts into CSV for analysis in Excel
- Migrating data between databases by converting SQL to YAML or XML
- Generating HTML tables from SQL seed data for documentation
- Debugging SQL INSERT scripts by viewing parsed data as structured JSON
Frequently Asked Questions
QDoes this tool upload my SQL to a server?
No. All parsing and conversion runs in your browser using a Web Worker. Your SQL never leaves your device.
QWhat SQL INSERT syntax is supported?
Standard ANSI SQL INSERT INTO table (col1, col2) VALUES (val1, val2), (val3, val4). Multi-row batch inserts are fully supported. MySQL-style backtick identifiers are also handled.
QHow are SQL NULL values handled?
SQL NULL literals are converted to null in JSON, empty cells in CSV, null: true in YAML, and <null /> tags in XML.
QCan it parse multiple INSERT statements at once?
Yes. Paste multiple INSERT INTO statements separated by semicolons or newlines. The converter merges all rows into a single output dataset.
QIs there a row limit?
There is no hard limit. The Web Worker can handle thousands of rows. For very large SQL dump files (millions of rows), a database CLI tool is more practical.