Free SQL Formatter — Beautify & Format SQL Queries Online

Q: What SQL dialects does this formatter support?

Our formatter supports MySQL, PostgreSQL, SQL Server (T-SQL), Oracle PL/SQL, SQLite, MariaDB, and standard ANSI SQL. Each dialect has its own keyword set and formatting conventions. Choose your dialect from the dropdown before formatting.

Q: Should SQL keywords be uppercase or lowercase?

Convention recommends uppercase SQL keywords (SELECT, FROM, WHERE, JOIN) and lowercase for table/column names. This visual distinction makes queries easier to scan. Most style guides including Simon Holywell's SQL Style Guide recommend uppercase keywords.

Q: Can I minify SQL instead of formatting it?

Yes. Minification removes all unnecessary whitespace and newlines, compressing your SQL into a single line. This is useful for embedding queries in code strings, logging, or reducing payload size in API requests. Our tool supports both formatting and minification.

Q: How does this compare to SQL formatters like SQLFormat.org or Prettier SQL?

Unlike SQLFormat.org, our tool runs 100% in your browser — your queries are never sent to an external server. Unlike Prettier SQL which requires installation, our formatter works instantly in any browser with no setup. It also supports more dialects than most free formatters.

SQL is the backbone of every data-driven application, yet it is also one of the most commonly under-formatted languages. A query that fits on one line when you write it grows to 30 lines with 5 JOINs, 12 columns, and a subquery. Without consistent formatting, debugging that query becomes a guessing game.

Our free SQL Formatter lets you paste any SQL query and get clean, indented, readable output instantly. No account, no installation — everything processes in your browser. Your queries never leave your device.

Why SQL Formatting Matters

Poorly formatted SQL creates real costs across a development team:

Code review friction: Reviewers spend more time parsing structure than evaluating logic. A formatted query makes the intent immediately visible — which tables are joined, what conditions filter the results, how data is grouped.
Debugging time: When a query returns wrong results, the first step is understanding its structure. Formatting reveals missing join conditions, incorrect groupings, and misplaced parentheses that are invisible in a single line of text.
Onboarding speed: New team members inherit hundreds of queries. Consistently formatted SQL lets them understand the data model faster without asking "what does this query do?"
Version control diffs: When SQL is formatted consistently, git diffs show meaningful changes (added columns, modified conditions) instead of noise from whitespace reflows.

Common Formatting Conventions

While SQL formatting is somewhat subjective, the industry has converged on several widely-accepted patterns:

River Formatting (Leading Commas)

Columns listed with leading commas, each on its own line, aligned vertically. This makes it easy to comment out individual columns and produces cleaner git diffs:

SELECT
    u.id
  , u.first_name
  , u.last_name
  , u.email
  , o.order_total
FROM users u
JOIN orders o ON o.user_id = u.id
WHERE u.active = 1
  AND o.created_at >= '2026-01-01'
ORDER BY o.order_total DESC
LIMIT 100;

Trailing Comma Style

More common in application code and ORMs. Commas at the end of each line, keywords left-aligned:

SELECT
  u.id,
  u.first_name,
  u.last_name,
  u.email,
  o.order_total
FROM users u
JOIN orders o ON o.user_id = u.id
WHERE u.active = 1
  AND o.created_at >= '2026-01-01'
ORDER BY o.order_total DESC
LIMIT 100;

Neither style is objectively better. The important thing is consistency within a team or project.

Keyword Casing — Uppercase vs. Lowercase

The most widely followed convention is uppercase SQL keywords and lowercase identifiers (table names, column names, aliases):

SELECT u.first_name, u.email
FROM users u
WHERE u.active = TRUE
ORDER BY u.created_at DESC;

This convention exists because SQL keywords and identifiers would otherwise look identical. The visual distinction between SELECT and u.first_name makes queries scannable at a glance. Most style guides — including Simon Holywell's widely-referenced SQL Style Guide, the dbt style guide, and Mozilla's data team guide — recommend uppercase keywords.

That said, some modern teams use all-lowercase with syntax highlighting handling the visual distinction. This is acceptable when everyone uses an editor with SQL highlighting, but breaks down in documentation, Slack messages, and pull request diffs where syntax highlighting is not guaranteed.

Dialect Differences — MySQL, PostgreSQL, SQL Server & More

SQL is a standard, but every database engine adds its own syntax and keywords. A formatter needs to understand these differences to avoid breaking your queries:

MySQL: Uses backticks for quoting identifiers (`table_name`), LIMIT for pagination, AUTO_INCREMENT, and IF() function.
PostgreSQL: Uses double quotes for identifiers ("table_name"), LIMIT/OFFSET, SERIAL / GENERATED ALWAYS, ILIKE for case-insensitive matching, and rich array/JSON operators.
SQL Server (T-SQL): Uses square brackets ([table_name]), TOP instead of LIMIT, IDENTITY, MERGE statement, and CROSS APPLY.
Oracle PL/SQL: Uses ROWNUM or FETCH FIRST for pagination, NVL() instead of COALESCE(), CONNECT BY for hierarchical queries.
SQLite: Lightweight subset with no RIGHT JOIN, limited ALTER TABLE, and AUTOINCREMENT (one word).

Our formatter detects and respects these dialect-specific keywords, so your formatted output is valid for your specific database engine.

SQL Minification — When & Why

Sometimes you need the opposite of formatting — compressing SQL into the shortest possible string. Common use cases:

Embedding in application code: Template literals in JavaScript or Python string variables are cleaner as single-line SQL.
API payloads: GraphQL-style APIs that accept SQL strings benefit from smaller payloads.
Logging: Single-line SQL is easier to grep in log files and fits in log aggregation UIs.
Sharing in chat: A compact query fits in a Slack message or support ticket without scrolling.

Our SQL formatter includes a minify option that strips all unnecessary whitespace while preserving the query's correctness.

Formatting Complex Queries

Simple SELECT statements are easy. The real test of a formatter is complex queries — CTEs, window functions, nested subqueries, and CASE expressions:

WITH monthly_revenue AS (
  SELECT
    DATE_TRUNC('month', o.created_at) AS month,
    SUM(o.total) AS revenue,
    COUNT(DISTINCT o.user_id) AS customers
  FROM orders o
  WHERE o.status = 'completed'
    AND o.created_at >= '2025-01-01'
  GROUP BY DATE_TRUNC('month', o.created_at)
)
SELECT
  month,
  revenue,
  customers,
  revenue / customers AS avg_order_value,
  LAG(revenue) OVER (ORDER BY month) AS prev_month_revenue,
  CASE
    WHEN LAG(revenue) OVER (ORDER BY month) IS NULL THEN NULL
    WHEN revenue > LAG(revenue) OVER (ORDER BY month) THEN 'growth'
    ELSE 'decline'
  END AS trend
FROM monthly_revenue
ORDER BY month DESC;

Key formatting patterns for complex queries: CTEs get their own indentation block, window functions stay on one line unless they are long, CASE expressions indent WHEN/THEN/ELSE, and nested subqueries get a full indentation level.

Enforcing SQL Style in Teams

A formatter is only useful if the whole team uses it. Here are proven approaches for maintaining consistent SQL style across a team:

Pre-commit hooks: Run the formatter automatically before every commit. This prevents unformatted SQL from ever reaching the repository.
CI linting: Add a SQL linting step to your CI pipeline that fails the build if SQL does not meet the style standard.
Editor integration: Configure VS Code, JetBrains, or your team's IDE to format SQL on save.
Shared configuration: Document your team's SQL style choices (keyword casing, comma position, indentation) in your project's contribution guide.
Use a web tool for quick formatting: Not every SQL query lives in a code editor. Analysts writing ad-hoc queries, support engineers debugging production, and data scientists in notebooks all benefit from a quick web-based formatter like ours.

Try Our Free SQL Formatter

Paste your SQL, choose your dialect, and get beautifully formatted output. Supports formatting and minification.

Open SQL Formatter

Frequently Asked Questions

Why does SQL formatting matter?

Formatted SQL is dramatically easier to read, debug, and review. A single-line query with 15 JOINs is nearly impossible to parse. Properly indented SQL lets you instantly see SELECT columns, WHERE conditions, JOIN relationships, and GROUP BY logic.

What SQL dialects does this formatter support?

MySQL, PostgreSQL, SQL Server (T-SQL), Oracle PL/SQL, SQLite, MariaDB, and standard ANSI SQL. Each dialect has its own keyword set and formatting conventions.

Does this SQL formatter send my queries to a server?

No. Formatting happens entirely in your browser using our built-in processing engine. Your SQL queries never leave your device, making it safe for production queries containing sensitive table names or business logic.

Should SQL keywords be uppercase or lowercase?

Convention recommends uppercase keywords (SELECT, FROM, WHERE) and lowercase for table/column names. This visual distinction makes queries scannable at a glance.

Can I minify SQL instead of formatting it?

Yes. Minification removes all unnecessary whitespace, compressing your SQL into a single line. Useful for embedding queries in code strings, logging, or reducing payload size in API requests.

How does this compare to SQLFormat.org or Prettier SQL?

Unlike SQLFormat.org, our tool runs entirely in your browser — queries never leave your device. Unlike Prettier SQL, which requires installation, our formatter works instantly in any browser with no setup. It also supports more dialects and offers both formatting and minification.