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Data helper

SQL Formatter

Format and beautify your SQL queries instantly.
Select your specific SQL dialect (MySQL, PostgreSQL, etc.) to ensure correct syntax highlighting and indentation.
Perfect for cleaning up complex queries, debugging generated SQL, or preparing code for review.

Guide: How to use & features

  • Select your database engine from the "Dialect" dropdown (defaults to MySQL).
  • Paste your SQL query into the input field to see the formatted output instantly.
  • Click the "Copy" button to grab the beautified query for your code or logs.

Samples: Sample input & output

Formatting a SELECT statement

Input

select a,b,c from table1 join table2 on table1.id = table2.id where a > 10 order by b desc

Output

SELECT
  a,
  b,
  c
FROM
  table1
  JOIN table2 ON table1.id = table2.id
WHERE
  a > 10
ORDER BY
  b DESC

FAQ: FAQ

  • Which SQL dialects are supported?

    It supports major dialects such as MySQL, PostgreSQL, and SQLite, applying sensible indentation and keyword capitalization. When your query uses dialect-specific syntax, choosing the matching dialect yields a more natural formatting result.

  • Does formatting change the meaning or results of the query?

    No. Formatting only adjusts appearance — whitespace, line breaks, and indentation — and does not affect the query’s syntax or results. You can safely paste a production query and improve only its readability.

  • Can it format a long single-line SQL pulled from logs?

    Yes. Paste a long query that your app logged on one line, and it reformats into a readable shape with line breaks and indentation per clause (SELECT / FROM / WHERE, etc.). Helpful for tidying before review and for grasping complex JOIN structures.

Use cases: Common use cases

  • Analyzing complex queries

    Beautify nested subqueries and joins to understand the data flow and structure.

  • Preparing for code reviews

    Auto-format SQL to ensure consistency and readability before posting to pull requests.

  • Visualizing application logs

    Format long, single-line queries extracted from logs to spot syntax errors or logical flaws easily.

Notes: Notes & limitations

  • Syntax Errors

    If the input SQL has syntax errors, the formatter may fail or produce unexpected results.

  • Vendor-specific Syntax

    Extremely specialized or experimental vendor-specific features might not be fully supported.

High-Performance SQL Formatter

Beautify and format unreadable, minified, or overly complex SQL queries extracted from applications and log files. This tool applies appropriate indentation, line breaks, and reserved keyword highlighting.

Supported Databases and Applications

It widely supports standard relational database dialects including MySQL, PostgreSQL, SQL Server, Oracle, and BigQuery.
Improving query readability is often the shortest path to discovering logic bugs, especially when tuning performance for massive SQL queries automatically generated by ORMs or during team code reviews.
Since everything runs client-side in your browser, your proprietary schema structures and queries never leave your device.

When to format SQL

  • Before code review: Make complex queries easier for teammates to scan.
  • While debugging ORM output: Reformat generated SQL from logs before checking joins and filters.
  • During performance tuning: Add line breaks and indentation before investigating WHERE clauses, GROUP BY, and nested queries.

Practical note

Formatting improves readability, but it does not guarantee that a query is correct or fast. Always test the formatted SQL against the target database and review execution plans for performance-sensitive changes.

Articles for this tool

Introduction
2026-02-09

SQL Formatter: Making Queries Readable, and Why Dialect Selection Matters

Format messy SQL pulled from logs or ORMs into readable queries. Covers the technical reasons dialect selection (PostgreSQL/MySQL/BigQuery) changes formatting output, and why formatting doubles as a syntax check.

Introduction
2026-05-06

How to Build SELECT and JOIN Queries Visually with a SQL Builder

Assemble SELECT, WHERE and JOIN clauses in your browser with a visual SQL builder. Useful for learning SQL, extracting data, and drafting queries before review.

Use Case
2026-07-21

SQL JOIN Types: Complete Reference to INNER, LEFT, RIGHT & FULL

A reference for SQL JOIN types (INNER/LEFT/RIGHT/FULL/CROSS/SELF) with a cheat sheet and row-count walkthroughs. Covers why one-to-many joins duplicate rows, the WHERE-vs-ON NULL trap, and how to write multi-table joins.

Recent Articles

Introduction
2026-08-03

How CREATE TABLE Generation From a Visual Table Design Works | DDL Builder

A look inside DDL Builder, which turns a visually designed table into CREATE TABLE statements and an ER diagram. Covers the MySQL/PostgreSQL/SQLite type-mapping rules and the column-inference algorithm used for JSON samples.

Use Case
2026-07-21

GitHub Actions needs Design Patterns: Speed Up CI, Avoid the Anti-Patterns

A pattern reference for GitHub Actions job dependencies (needs). Covers diamond-shaped fan-out, concurrency cancellation, fail-fast tradeoffs, matrix-plus-needs gotchas, and reusable workflows, with copy-paste YAML examples.

Use Case
2026-07-21

SQL JOIN Types: Complete Reference to INNER, LEFT, RIGHT & FULL

A reference for SQL JOIN types (INNER/LEFT/RIGHT/FULL/CROSS/SELF) with a cheat sheet and row-count walkthroughs. Covers why one-to-many joins duplicate rows, the WHERE-vs-ON NULL trap, and how to write multi-table joins.

Introduction
2026-07-16

Case Converter: camelCase, snake_case & kebab-case — 9 Styles at Once

Convert identifiers between camelCase, PascalCase, snake_case, CONSTANT_CASE, kebab-case and more — all nine styles side by side. Handles acronym runs like HTTPServer, digits, and bulk multi-line conversion.

Introduction
2026-07-16

LLM API Cost Calculator: Compare Claude, GPT & Gemini Pricing Side by Side

Paste a prompt, set the expected output tokens, and compare per-request API costs across Claude, GPT and Gemini models. Covers input/output pricing structure, auto-updated price tables, and estimate limits.

Use Case
2026-07-14

AGENTS.md, CLAUDE.md, Cursor Rules: One Source of Truth for AI Coding Agents

Every AI coding agent wants its own rules file. Compare AGENTS.md, CLAUDE.md, .cursor/rules, copilot-instructions.md and more — what to write, a copy-paste template, and how to stop them drifting apart.

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