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SQL INSERT Generator

Generate SQL INSERT statements from tabular data input.

Quote Style:
SQL Output

About this tool

The SQL INSERT Generator is a developer tool that converts tabular data into ready-to-execute SQL INSERT statements. Whether you're migrating data from a spreadsheet, creating test fixtures, or populating a database with initial values, this tool eliminates the tedious manual work of writing INSERT syntax by hand. It reads your data structure and generates syntactically correct SQL that works with most relational databases including MySQL, PostgreSQL, SQLite, and SQL Server.

To use the tool, paste your tabular data (from a spreadsheet, CSV file, or text table) into the input area and select your target database type. The generator automatically detects columns, infers data types, handles special characters and escaping, and produces clean SQL code ready to paste directly into your database client. You can customize the table name and adjust any generated statements before execution.

This tool is especially valuable for developers setting up test environments, database administrators bootstrapping new instances, and data engineers preparing bulk imports. It handles common edge cases like NULL values, string escaping, and date formatting, saving time and reducing syntax errors that could break import operations.

Frequently Asked Questions

Code Implementation

# Generate SQL INSERT statements from a list of dicts
def generate_inserts(table, rows, batch=False):
    if not rows:
        return ""
    columns = ", ".join(rows[0].keys())
    def fmt(v):
        if isinstance(v, (int, float)):
            return str(v)
        return f"'{str(v).replace(chr(39), chr(39)+chr(39))}'"

    if batch:
        values = ",\n  ".join(
            "(" + ", ".join(fmt(v) for v in row.values()) + ")"
            for row in rows
        )
        return f"INSERT INTO {table} ({columns})\nVALUES\n  {values};"
    else:
        return "\n".join(
            f"INSERT INTO {table} ({columns}) VALUES ({', '.join(fmt(v) for v in row.values())});"
            for row in rows
        )

rows = [
    {"id": 1, "name": "Alice", "email": "alice@example.com"},
    {"id": 2, "name": "Bob",   "email": "bob@example.com"},
]
print(generate_inserts("users", rows, batch=True))

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