SQL Beautifier
A fast, dialect-aware SQL formatter that tidies, standardizes, and beautifies queries for readability and maintenance. Suitable for developers, DBAs, and data engineers who want consistent style across teams.
Tool coming soon!
We're working hard to get this tool ready for you.
Worked Example & Common Values
Below is a sample worked calculation demonstrating how SQL Beautifier processes input data instantly inside your browser.
Minified string: {"id":1,"status":"active","roles":["admin"]}
{
"id": 1,
"status": "active",
"roles": [
"admin"
]
}
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About This Tool
Conceptually, it tokenizes input, builds an internal representation, and re-emits SQL with standardized indentation, clause-aligned line breaks, and controlled wrapping of long lines. It supports ANSI SQL baseline and applies dialect-specific rules for quoting, keyword casing, and statement termination. This makes scripts easier to review, merge, and maintain in version control.
Beneficiaries include developers, DBAs, data engineers, and data teams who want consistent styling across projects. Unique value comes from dialect-aware defaults, robust handling of nested subqueries and common table expressions, preservation of comments, and the ability to save and reuse style profiles across sessions and projects.
How to Use
- Provide inputs: supply the raw SQL text and select the target dialect.
- Configure formatting options: set indent size, keyword casing, wrap width, and whether to uppercase keywords.
- Run formatting: apply the rules to generate the formatted SQL.
- Review outputs: verify readability, copy to clipboard, or export as needed; adjust options if necessary.
- Integrate into workflow: reuse in CI pipelines or code reviews for consistent styling.
Frequently Asked Questions
Find Quick Answers
Which dialects are supported?
Will it change query semantics?
Can I save and reuse style profiles?
What happens on parsing errors?
Need to run multiple calculations?
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