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Free SQL Formatter

Format and beautify SQL queries|5.0 (2,342)

Format messy SQL into clean, readable queries using sql-formatter, the most widely used open-source SQL formatting library with over 750,000 weekly npm downloads. Supports 9 SQL dialects including MySQL, PostgreSQL, SQLite, Google BigQuery, SQL Server (T-SQL), Oracle (PL/SQL), Amazon Redshift, Apache Spark SQL, and standard SQL. Applies consistent formatting rules, uppercase keywords, proper indentation, aligned clauses, and logical line breaks, following best practices from style guides like Simon Holywell's SQL Style Guide. Handles complex queries with CTEs, subqueries, window functions, JOINs, and procedural blocks. Runs entirely in your browser via the sql-formatter TypeScript library, so your queries never leave your device. A free, private alternative to the SQL formatters built into paid tools like DataGrip, DBeaver, and Azure Data Studio.

Engine:sql-formatter

Free and provided as is, without warranty. Use at your own risk. Terms

Why Format SQL Queries?

Well-formatted SQL is dramatically easier to read, debug, and review. When SQL comes from ORMs like Sequelize, Prisma, or SQLAlchemy, from query builders like Knex.js, or from application logs and slow query monitors, it is usually compressed into a single line or has wildly inconsistent spacing. A 200-character single-line query with nested subqueries is nearly impossible to debug. This tool applies consistent indentation, uppercase keywords, proper line breaks, and aligned clauses to transform any query into readable, structured SQL that follows industry best practices.

Consistent SQL formatting is not just about aesthetics, it directly impacts code review quality, team collaboration, and bug prevention. When every query in a codebase follows the same structure, reviewers can scan logic in seconds instead of minutes. Misplaced AND/OR conditions, accidental cross joins, missing GROUP BY columns, and incorrect WHERE clauses jump out immediately in well-formatted SQL. Teams that enforce consistent formatting report fewer bugs reaching production, shorter review cycles, and faster onboarding for new developers. SQL style guides from organizations like Mozilla, GitLab, and Meltano all emphasize formatting consistency as a foundational practice.

How the sql-formatter Library Works

This tool is powered by sql-formatter, the most widely used open-source SQL formatting library with over 750,000 weekly downloads on npm. Written in TypeScript, sql-formatter provides a dedicated parser for each of its 9 supported SQL dialects, Standard SQL (ANSI), MySQL, PostgreSQL, SQLite, Google BigQuery, SQL Server (Transact-SQL), Oracle (PL/SQL), Amazon Redshift, and Apache Spark SQL. Each parser understands the dialect-specific keywords, syntax extensions, and formatting conventions of its target database. MySQL LIMIT, PostgreSQL RETURNING and ON CONFLICT, BigQuery UNNEST and STRUCT, T-SQL TOP and MERGE, PL/SQL CONNECT BY, all are recognized and formatted correctly when you select the right dialect.

The library handles all major SQL constructs: Common Table Expressions (WITH clauses including recursive CTEs), nested subqueries at any depth, window functions with PARTITION BY and frame clauses, complex JOIN chains with multiple conditions, UNION/INTERSECT/EXCEPT operations, CASE/WHEN expressions, and procedural blocks like CREATE PROCEDURE with IF/ELSE and BEGIN/END. Formatting options include keyword casing (uppercase, lowercase, or preserve), indent width (spaces or tabs), indent style (standard or tabular alignment), line width limits, and dense operator spacing. The formatter can also be disabled for specific sections using inline comments, giving you precise control over the output.

SQL Formatting Best Practices and Style Guides

The most widely referenced SQL style guide is Simon Holywell's SQL Style Guide (sqlstyle.guide), which recommends uppercase reserved keywords, right-aligned "river" formatting where keywords align to create a uniform gap, and specific naming conventions for tables, columns, and aliases. The core rules that appear across nearly every SQL style guide include: uppercase SQL keywords (SELECT, FROM, WHERE, JOIN, GROUP BY, ORDER BY), lowercase for table and column names, each major clause starting on its own line at the same indentation level, consistent indentation for column lists and WHERE conditions, meaningful table aliases instead of cryptic single letters, and avoiding SELECT * in production queries.

This formatter enforces the structural rules automatically, consistent indentation, keyword casing, clause-per-line breaks, and aligned expressions, regardless of which specific style guide your team follows. Whether you prefer Simon Holywell's river style, Mozilla's 4-space indentation standard, or your own team conventions, running SQL through the formatter eliminates the inconsistency that makes queries hard to read and review. For teams adopting SQL formatting for the first time, start by picking an indent size (2 or 4 spaces) and keyword casing (uppercase is the most common convention), then format all existing queries to establish a baseline. The improvement in code review speed and query readability is immediate.

Where a quick SQL format actually gets used

A data analyst pulls a query out of Metabase, Looker, or a BI tool's "view SQL" panel, usually a single dense line, and formats it here before pasting it into a Slack thread or a ticket so a colleague can actually follow the logic. A data engineer standardizing a growing set of dbt model files runs each one through the formatter to enforce a consistent house style before committing, since dbt projects tend to accumulate SQL written by many different people over time with no shared formatting habit unless something enforces one.

Debugging an ORM-generated query is another recurring case: pasting the raw SQL that Prisma, SQLAlchemy, or ActiveRecord actually sent to the database, usually a long unformatted string captured from a query log, turns it from an unreadable wall of text into something you can actually scan for a missing JOIN condition or an unexpected extra WHERE clause the ORM added.

Why running production SQL through a random web tool is risky, and how this differs

A SQL query is not just logic, it routinely reveals your actual table names, column names, and sometimes literal values, a WHERE clause filtering on a real customer email, embedded directly in the text. Pasting that into an online formatter that processes input on a server means your database schema, and possibly real data, is now sitting in that service's request logs, a risk most people do not think about when they just want prettier indentation.

This tool avoids that risk structurally: sql-formatter runs as JavaScript in your browser, so the query never becomes an HTTP request body in the first place, there is no server-side log to worry about because there is no server involved in the formatting step at all. For queries touching real schema or data, that architectural difference, not a privacy policy promise, is what actually keeps the query private.

SQL formatting in a modern, SQL-heavy data team

Analytics engineering has made SQL a much bigger part of daily work for far more people than it used to be, dbt alone has put dozens of analysts and data scientists at many companies into the position of writing and reviewing SQL as their primary interface, not just a small backend team. That shift is exactly why consistent SQL formatting matters more now than a decade ago: a pull request with fifteen differently-styled queries from fifteen different contributors is a genuinely harder review than the same logic formatted consistently.

Many data teams now enforce SQL formatting the same way frontend teams enforce Prettier, a pre-commit hook or CI check that fails if a .sql file is not formatted to the team standard. This tool is a good way to establish what that standard should look like and to manually clean up files before wiring in automated enforcement, since seeing the sql-formatter output directly shows you exactly what a CI check based on the same library would expect.

How It Works

1

Paste your SQL query and select the dialect.

2

Click Format to beautify or Minify to compress.

3

Copy the formatted SQL to your clipboard.

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Key Features

Format SQL with proper indentation, keyword uppercasing, and aligned clauses
9 SQL dialects, MySQL, PostgreSQL, SQLite, BigQuery, T-SQL, PL/SQL, Redshift, Spark SQL, and standard SQL
Handles CTEs (WITH clauses), subqueries, window functions, and complex JOINs
Minify SQL to a single line for embedding in application code
Configurable indent size (2 or 4 spaces) with standard and tabular indent styles
Uppercase or lowercase keyword formatting to match your team style guide
Supports procedural SQL, CREATE PROCEDURE, IF/ELSE, BEGIN/END, CASE/WHEN blocks
Powered by sql-formatter, the most popular open-source SQL formatting library (750K+ weekly npm downloads)
Copy formatted output to clipboard instantly
Runs entirely in your browser, no signup, no account, no server
Private by design, queries never leave your device, safe for production SQL

Privacy & Trust

SQL is formatted locally in your browser, never uploaded anywhere
No queries are stored, logged, or transmitted
No tracking of query content or formatting choices
Built using the open-source sql-formatter library (MIT license)
Safe for production queries, credentials in connection strings, and sensitive business logic

Use Cases

1Format messy SQL from ORMs, query builders, or application logs into readable queries
2Beautify SQL for code reviews, consistent formatting makes logic errors and missing clauses easy to spot
3Standardize SQL style across a development team with consistent keyword casing and indentation
4Make complex JOINs, nested subqueries, and multi-CTE queries readable at a glance
5Clean up SQL before pasting into documentation, wiki pages, or Confluence
6Minify SQL for embedding in application code, environment variables, or config files
7Format SQL extracted from slow query logs or database monitoring tools for analysis

Limitations

  • Does not validate SQL syntax or check for errors, it formats whitespace only
  • Does not execute queries or connect to databases
  • Very vendor-specific syntax extensions may not format perfectly in all cases
  • Does not add syntax highlighting or color coding to the output
  • Does not rewrite or optimize query logic

Frequently Asked Questions

Is this SQL formatter completely free?

Yes, it is 100% free with no usage limits, no signup, and no per-query charges. IDE-based SQL formatters like those in DataGrip ($229/year) or paid database tools require licenses. Because this tool runs the sql-formatter library locally in your browser, there are no server costs and no restrictions on how many queries you format.

Is my SQL sent to a server or stored anywhere?

No. All formatting happens entirely inside your browser using JavaScript. Your SQL queries never leave your device, not even temporarily. There are no API calls, no cloud uploads, and no analytics on your query content. This makes it safe for formatting production queries, queries containing sensitive data, stored procedures with business logic, or any SQL you would not want a third party to see. You can verify this by checking the Network tab in DevTools while formatting.

What is sql-formatter and why is it used here?

sql-formatter is the most widely used open-source SQL formatting library, written in TypeScript and available on npm with over 750,000 weekly downloads. It is used by database tools, IDE extensions, documentation platforms, and developer utilities worldwide. The library provides a robust parser for each supported SQL dialect, ensuring that dialect-specific keywords and syntax are handled correctly. It is released under the MIT license and actively maintained. This tool runs sql-formatter directly in your browser, giving you the same formatting engine that powers many professional developer tools.

Which SQL dialects are supported?

The formatter supports 9 SQL dialects: Standard SQL (ANSI), MySQL, PostgreSQL, SQLite, Google BigQuery, SQL Server (Transact-SQL / T-SQL), Oracle (PL/SQL), Amazon Redshift, and Apache Spark SQL. Each dialect has its own parser that understands dialect-specific keywords and syntax, for example, MySQL LIMIT and SHOW, PostgreSQL RETURNING and ON CONFLICT, BigQuery UNNEST and STRUCT, T-SQL TOP and MERGE, and PL/SQL CONNECT BY. Select your dialect from the dropdown for the most accurate formatting.

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