SQL Formatter

SQL Formatter — Format & Beautify SQL Queries Online | StoreDropship

đŸ—„ī¸ Format Your SQL Query

Supports SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, JOIN, subqueries and CTEs.
Formatted SQL
✅ Copied!

How to Use the SQL Formatter

  1. Paste or type your raw, minified, or unformatted SQL query into the dark input area above.
  2. Choose your preferred indentation size (2 spaces, 4 spaces, or tab) from the options.
  3. Select whether you want SQL keywords in UPPERCASE or lowercase output.
  4. Click Format SQL to instantly beautify and indent your query with proper structure.
  5. Review the formatted output, then click Copy to copy it to your clipboard for use in your editor or documentation.

Key Features

⚡

Instant Formatting

Format any SQL query instantly with a single click — no page reload, no waiting.

🔠

Keyword Case Control

Output keywords in UPPERCASE or lowercase to match your team's coding standards.

📐

Flexible Indentation

Choose 2-space, 4-space, or tab indentation to suit your IDE or style guide.

🔒

100% Private

All formatting is done entirely in your browser. No SQL is sent to any server.

🔗

JOIN & Subquery Support

Handles complex queries with multiple JOINs, nested subqueries, CTEs, and aliases.

📋

One-Click Copy

Copy the formatted SQL to clipboard instantly with the Copy button for quick use.

How the SQL Formatter Works

The formatter tokenises your SQL input and rebuilds it with consistent structure based on keyword hierarchy. Here is the core formatting logic applied:

-- Major clause keywords → new line, no indent SELECT | FROM | WHERE | GROUP BY ORDER BY | HAVING | LIMIT | UNION-- Sub-clause keywords → new line + 1 indent level JOIN | LEFT JOIN | RIGHT JOIN | INNER JOIN ON | AND | OR | CASE | WHEN | THEN | ELSE | END-- Subqueries → wrapped in parentheses + extra indent level -- CTE (WITH) → formatted as top-level block -- Commas in SELECT → each item on new line at same indent

The formatter normalises whitespace, removes redundant spaces, applies your chosen keyword case, and rebuilds indentation from scratch. The result is consistently readable SQL regardless of how compressed or inconsistently written the input was.

Practical Examples

đŸ‡ŽđŸ‡ŗ Example 1 — Indian Fintech Developer (MySQL)

-- Input (minified):
select u.id,u.name,a.balance from users u inner join accounts a on u.id=a.user_id where a.balance>10000 and u.status='active' order by a.balance desc limit 50

-- Formatted Output:
SELECT
    u.id,
    u.name,
    a.balance
FROM users u
    INNER JOIN accounts a
        ON u.id = a.user_id
WHERE a.balance > 10000
    AND u.status = 'active'
ORDER BY a.balance DESC
LIMIT 50

A developer in Bengaluru working on a banking dashboard pasted a minified query from a legacy codebase. The formatter revealed a missing index opportunity by making the JOIN and WHERE clauses clearly visible.

đŸ‡ŽđŸ‡ŗ Example 2 — E-commerce Analyst (PostgreSQL)

-- Input (messy):
select p.product_name,sum(o.quantity) as total_sold,avg(o.price) as avg_price from orders o join products p on o.product_id=p.id where o.order_date between '2024-01-01' and '2024-12-31' group by p.product_name having sum(o.quantity)>100 order by total_sold desc

-- Formatted Output:
SELECT
    p.product_name,
    SUM(o.quantity) AS total_sold,
    AVG(o.price) AS avg_price
FROM orders o
    JOIN products p
        ON o.product_id = p.id
WHERE o.order_date BETWEEN '2024-01-01' AND '2024-12-31'
GROUP BY p.product_name
HAVING SUM(o.quantity) > 100
ORDER BY total_sold DESC

An analyst at a Delhi-based retail company used the formatter to clean up a report query before sharing it with the data team for peer review and documentation.

🌍 Example 3 — International SaaS Backend Engineer

-- Input (CTE, unformatted):
with ranked_users as (select id,name,row_number() over(partition by region order by created_at desc) as rn from users) select id,name from ranked_users where rn=1

-- Formatted Output:
WITH ranked_users AS (
    SELECT
        id,
        name,
        ROW_NUMBER() OVER (
            PARTITION BY region
            ORDER BY created_at DESC
        ) AS rn
    FROM users
)
SELECT
    id,
    name
FROM ranked_users
WHERE rn = 1

A UK-based backend engineer formatting a window function CTE query for inclusion in a technical spec document for their API team.

What Is an SQL Formatter?

An SQL Formatter is a tool that takes raw, minified, or inconsistently written SQL queries and restructures them into clean, readable, properly indented code. In database development, queries are often written quickly, generated by ORMs, or exported from tools in a single compressed line. Reading and debugging such queries is difficult without proper formatting.

Formatted SQL is easier to debug, review, and document. Developers can immediately see the query structure — which tables are joined, what the WHERE conditions are, and how GROUP BY and ORDER BY relate to the SELECT columns. This reduces the time spent understanding a query from minutes to seconds.

This tool handles the formatting entirely in your browser, making it safe for use with sensitive database queries. There is no server upload, no logging, and no risk of your query data leaving your device.

Frequently Asked Questions

Yes, the SQL Formatter on StoreDropship is completely free to use. No account, no credits, and no installation is required.
The formatter handles standard SQL syntax including SELECT, INSERT, UPDATE, DELETE, CREATE, DROP, JOIN variants, WHERE, GROUP BY, ORDER BY, HAVING, LIMIT, and subqueries. It works well with MySQL, PostgreSQL, SQLite, and most ANSI SQL dialects.
The tool performs formatting and beautification only. It does not connect to a database or execute SQL. Syntax is parsed for formatting purposes, but deep validation is not performed.
Yes. The tool handles large queries with multiple joins, subqueries, and nested conditions. Everything processes client-side so there is no upload size restriction.
Completely. All formatting runs 100% client-side in your browser. No SQL content is sent to any server, stored, or logged anywhere.
You can choose between 2-space, 4-space, and tab-based indentation to match your team's coding style preferences.
Yes. You can choose to output SQL keywords such as SELECT, FROM, WHERE in uppercase or lowercase depending on your preference or team standard.
Yes. The SQL Formatter is fully mobile-responsive and works on smartphones, tablets, and desktop browsers without any issues.
Yes. The formatter handles subqueries, nested SELECT statements, and WITH (CTE) clauses with proper indentation levels for each nesting depth.
This tool only formats your SQL for readability. It does not execute queries or connect to any database. It is ideal for preparing clean SQL before pasting into your database client, code repository, or documentation.

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