How to use

  1. Paste your SQL query into the input box.
  2. Optionally tick the AI enhancement to convert the query to SQLAlchemy or Prisma.
  3. Click Run to get formatted, readable SQL.

SQL is one of the few languages routinely written by machines and debugged by humans. ORMs, query builders, and BI tools emit single-line queries with inconsistent casing that are nearly impossible to review, and the first step of debugging any slow or wrong query is reformatting it so you can actually read the join structure.

A formatter normalizes three things: keyword casing (SELECT, FROM, WHERE in caps so the query's skeleton stands out), indentation (each clause on its own line, nested subqueries indented), and spacing around operators and commas. None of this changes what the query does, SQL ignores whitespace, but it changes how fast you can spot the missing join condition causing a row explosion.

Formatting is dialect-tolerant: standard SELECT/INSERT/UPDATE/DELETE statements format cleanly whether they came from PostgreSQL, MySQL, SQLite, or SQL Server. Vendor-specific syntax passes through untouched rather than erroring.

The AI enhancement addresses a different pain: migrating hand-written SQL into an ORM codebase. It reads the formatted query and produces equivalent SQLAlchemy or Prisma code, a starting point that saves the mechanical translation work, though you should always review generated ORM code against your actual schema before shipping it.

Examples

One-line query
Input:  select id,name from users where active=1 order by name
Output: SELECT id,
       name
FROM users
WHERE active = 1
ORDER BY name
Join formatting
Input:  select u.name,o.total from users u join orders o on u.id=o.user_id
Output: SELECT u.name,
       o.total
FROM users u
JOIN orders o ON u.id = o.user_id

Frequently asked questions

Does formatting change what my query does?

No. SQL ignores whitespace and keyword casing, so the formatted query is byte-for-byte equivalent in meaning, only layout changes.

Which SQL dialects are supported?

Standard SQL formats cleanly regardless of source database. Dialect-specific syntax (PostgreSQL arrays, MySQL backticks, T-SQL TOP) is passed through without modification rather than rejected.

How good is the SQL-to-ORM conversion?

It produces solid starting-point SQLAlchemy or Prisma code for typical queries, selects, joins, filters, aggregates. Always review it against your real model definitions. Complex window functions or CTEs may need hand-finishing. 10 free AI conversions per day.

Is my query logged?

Anonymous runs are stateless, formatted and returned, never stored. Avoid pasting queries containing real customer data values regardless. Use placeholder values.

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