Free, browser-based utilities for everyday developer workflows

Format SQL for Code Review

Format SQL queries with readable indentation for reviews and debugging.

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Open SQL Formatter with a ready-to-run example.

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When you need this
  • You need to review a long SQL query quickly.
  • You are debugging performance issues in complex SQL.
  • You want a consistent SQL style before sharing.
How to do it with Daily Developer Tools
  • Paste SQL into the SQL Formatter input.
  • Choose keyword casing and indentation style.
  • Copy the formatted output for review.
Tips / common pitfalls
  • Break long SELECT lists onto new lines for readability.
  • Use consistent keyword casing (UPPER) in teams.
  • Format before adding comments to reduce churn.
Examples & test data

Simple SELECT

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Input example
select id,name,created_at from users where status='active' and created_at >= '2025-01-01' order by created_at desc;
Expected output
SELECT
  id,
  name,
  created_at
FROM
  users
WHERE
  status = 'active'
  AND created_at >= '2025-01-01'
ORDER BY
  created_at DESC;

Join with filters

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Input example
select o.id, o.total, c.name from orders o join customers c on o.customer_id = c.id where o.status = 'paid' and o.total > 100;
Expected output
SELECT
  o.id,
  o.total,
  c.name
FROM
  orders o
  JOIN customers c ON o.customer_id = c.id
WHERE
  o.status = 'paid'
  AND o.total > 100;
FAQ
Is this a full SQL parser?

It is a lightweight formatter aimed at common SQL patterns.

Can I change keyword casing?

Yes. Choose upper or lower case keywords.

Does it support multi-statement SQL?

Yes, it formats each statement in sequence.

Is my SQL uploaded?

No. It runs locally in your browser. No uploads.

Privacy-first: runs locally in your browser. No uploads.

How to use Format SQL for Code Review

Paste raw, compressed, or inconsistently formatted SQL into the input and click Format. The tool capitalises keywords, adds line breaks between clauses, and applies consistent indentation so your SQL is ready for a readable code review.

Common use cases

Backend developers use this to clean up auto-generated ORM queries before committing them for review. Data engineers use it to normalise ad hoc SQL from notebooks before merging into pipeline code, and DBAs use it to standardise stored procedure formatting across teams.

Why run this in your browser?

All processing happens locally in your browser. Your data never leaves your machine, making it safe for sensitive payloads, internal API responses, and confidential configurations.