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SQL Insert Generator

Client-Side Sanitized Builder

Paste CSV or JSON, get production-ready INSERT statements. Everything runs locally — nothing is uploaded.

CSV input
0 lines 0 rows detected

Best practices

Database seeding best practices

  1. 01

    Prefer multi-row batches over one statement per row

    A single INSERT with hundreds of VALUES tuples pays the parse, plan, and transaction overhead once instead of once per row. Use the 500-rows-per-batch preset as a safe default — large enough to be fast, small enough to stay under packet limits and keep error messages localizable.

  2. 02

    Respect foreign key order during migration

    Generate parent tables first (users before orders), or temporarily defer constraint checks inside a transaction. The output here is plain SQL text, so you can concatenate files in dependency order and wrap them in BEGIN / COMMIT yourself before running.

  3. 03

    Choose conflict handling before you import

    Re-running a seed script should be boring, not destructive. Standard INSERT fails loudly on duplicate keys (good for catching bad data), while the Ignore variants silently skip conflicts (good for idempotent re-seeds). Pick per dialect: INSERT IGNORE, ON CONFLICT DO NOTHING, or INSERT OR IGNORE.

Reference

SQL dialect comparison

The generator applies these rules automatically when you switch dialects — this table is your cheat sheet for what changes under the hood.

Aspect MySQL / MariaDB PostgreSQL SQLite / Generic
Identifier quoting Backticks: `users` (`id`) Double quotes: "users" ("id") Bare or double quotes: users
Quote escaping Backslash: 'O\'Reilly' Doubled: 'O''Reilly' Doubled: 'O''Reilly'
Ignore conflicts INSERT IGNORE INTO … … ON CONFLICT DO NOTHING INSERT OR IGNORE INTO …
Batch inserts Multi-row VALUES lists Multi-row VALUES lists Multi-row VALUES lists

FAQ

SQL generator questions

Is my database dump or private records sent to any server?

No. The SQL generator runs entirely inside your browser tab using in-memory parsing. Your CSV rows and JSON records are converted to INSERT statements locally in JavaScript — your data is never uploaded, logged, or stored anywhere. The only thing saved to your own browser localStorage is your tool preferences (source format, delimiter, table name, dialect, and other settings), so your setup is remembered on your next visit with no server involved. Close the tab and every trace of your data is gone, which makes it safe for production data extracts and customer records.

How are single quotes in names and text escaped to prevent SQL injection?

Every string value is escaped automatically using your selected dialect rules: MySQL escapes a quote as backslash-quote, while PostgreSQL and SQLite double it (O'Reilly becomes O''Reilly). Identifiers are quoted too — backticks for MySQL, double quotes for PostgreSQL. Numbers and booleans are emitted as bare literals, never wrapped in quotes.

What is the maximum number of rows I can process at once?

The limit is your browser tab memory, not a server quota — tens of thousands of rows generate smoothly on a typical laptop. For very large imports, use the batch chunk options (50, 100, or 500 rows per statement) so each INSERT stays comfortably below database packet limits like max_allowed_packet, and foreign-key checks stay fast.