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SQL Validator — Check SQL Syntax Online

Paste any SQL query and instantly check it for syntax errors, missing clauses, dangerous operations, and common mistakes. The SQL Validator runs entirely in your browser — your query is never uploaded to a server. It supports Generic SQL, PostgreSQL, MySQL, T-SQL, and SQLite dialects, flagging dialect-specific incompatibilities like using ILIKE in MySQL or LIMIT in T-SQL. Whether you are debugging a failing stored procedure, validating migration scripts before execution, or double-checking a complex JOIN before running it against production, this tool gives you fast, private feedback without leaving your editor.


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What This Tool Does

Validates ANSI SQL syntax in your browser, checking SELECT, INSERT, UPDATE, DELETE, and CREATE TABLE statements for well-formedness with exact error locations.

Who This Is For

  • SQL beginners learning syntax who want immediate feedback on their queries
  • Developers writing portable SQL that needs to run on multiple database engines
  • Anyone who wants a quick sanity check before pasting a query into a production database
  • Educators validating student-submitted SQL without running it against a live database

Example: Input: SELECT name, age FROM users WHERE age > 25 ORDER BY age DESC → Output: ✓ Valid SQL — no syntax errors detected, or a specific error description with line and character position

What Does the SQL Validator Check?

The validator runs two layers of analysis. The first layer performs quick structural checks that do not require parsing the full AST: unbalanced parentheses, unterminated string literals, unterminated block comments, multiple-statement detection, and dangerous full-table UPDATE or DELETE operations that are missing a WHERE clause. These checks catch the most common copy-paste errors and accidental destructive queries.

The second layer performs parse-based validation that analyzes the SQL structure. It checks for empty clauses (a SELECT or WHERE with nothing after it), JOIN statements without matching ON conditions, and dialect-specific syntax that would fail on a particular database engine. For example, the PostgreSQL cast operator :: is flagged as invalid when the dialect is set to MySQL or T-SQL, and RETURNING is flagged as unsupported in MySQL.

Why Validate SQL Before Running It?

Running invalid SQL against a database wastes time and can cause unintended consequences. A missing WHERE clause on a DELETE statement removes every row. A typo in a JOIN condition produces a silent Cartesian product that returns millions of rows instead of thousands. An unterminated string in a stored procedure causes the entire batch to fail with a cryptic error message that points to the wrong line.

Client-side validation catches these problems before the query touches a database. It is not a replacement for testing against a dev environment, but it eliminates the most common mistakes that waste developer time.

Supported SQL Dialects

The validator supports five dialect modes:

Use Cases

🔒 Privacy & Security

Your SQL never leaves your browser. There is no server — all parsing, validation, formatting, and explanation happens in JavaScript running locally on your device. This means your table names, column names, query logic, and data patterns are never transmitted anywhere. You can disconnect from the internet after loading this page and the tool still works.

Frequently Asked Questions

Does the validator execute my SQL?
No. The validator analyzes the text of your query using pattern matching and structural analysis. It never connects to a database or executes anything. All processing happens in JavaScript in your browser.
Can it catch all SQL errors?
No client-side validator can catch every possible error. It cannot check whether table names, column names, or data types actually exist in your database. It focuses on syntax errors, structural issues, and dialect-specific incompatibilities — the mistakes that are most common and most time-consuming to debug.
What happens to my SQL after validation?
Nothing. Your SQL stays in your browser's memory. It is not uploaded, stored, logged, or transmitted. You can verify this by disconnecting from the internet after the page loads — the tool continues to work.
Is this a replacement for database-level validation?
No. Always test queries in a development environment before running them in production. This tool catches syntax and structural errors early, but only a real database can validate schema references, permissions, and execution plans.
Does it support stored procedures and CTEs?
The validator handles single and multi-statement SQL including CTEs (WITH...AS). Stored procedure syntax varies significantly by dialect and is partially supported — it will catch structural issues but may not validate all procedural keywords.

SQL Tool Suite

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