Beautify
SQL Beautifier
Paste SQL on the left, hit Run, copy indented, scannable source you can actually debug. No Node, no pip, no Docker for a five-minute job. That is the sql beautifier.
Drop a file on the left. Drafts stay in this browser. Shortcut: Ctrl or Cmd + Enter to run.
How this sql beautifier works
- Paste or drop a .sql file into the input on the left.
- Flip options if you see them (comments, indent, case). Defaults are the safe ones.
- Hit Run, or Ctrl / Cmd + Enter. Leave “Process on server” off unless you mean it.
- Read the status line, then copy, download, or jump to a related tool.
What this sql beautifier is for
The file is already in front of you. You need to beautify it without opening a whole IDE profile. Paste, run, copy. Typical timing: after you paste a minified blob, a one-line log, or a vendor file you did not write.
You walk away with indented, scannable source you can actually debug.
What it will not pretend to be
This is not a full Prettier or php-cs-fixer project config. Team formatters still belong in git hooks. Keyword casing and clause breaks help humans. They do not optimize the query plan. Aliases and string literals are left alone on purpose.
By default nothing leaves the tab. Tick “Process on server” only if you want to compare results or use gzip numbers that match the server library.
A practical way to use it
Drop a .sql file onto the input or paste. Flip options if they are there. Run. Read the status line. Copy or download. Drafts stay on this device so a refresh does not punish you.
When you are done, hop a related tool instead of starting over: minify and beautify toss the file back and forth, format and validate often share a parser, convert wants valid input first.
The small print that saves a round-trip
Keyword casing and clause breaks help humans. They do not optimize the query plan. Aliases and string literals are left alone on purpose.
You searched “sql beautifier online.” You got an editor, not a login wall. That is the deal.
Frequently asked questions
What does a SQL beautifier change — and what does it leave alone?
It adds indent and line breaks so the shape of the file is obvious. It should not rename variables or rewrite logic. You go from a one-liner like SELECT id\nFROM users\nWHERE active = 1 back toward select id from users where active = 1. Read the outline, then edit.
Should I beautify SQL before I go live, or while I edit?
Edit in a readable shape. beautifying belongs to the moment the file has to be understood (beautify/format/validate) or the moment it leaves your hands (minify/encode). Mixing those moods is how minified HTML becomes your only source of truth — a sad place to live.
Can beautifying SQL break what I already put live?
Keyword casing and clause breaks help humans. They do not optimize the query plan. Aliases and string literals are left alone on purpose. Glance at the output once. A 20-second read beats a 20-minute “why did production go weird” thread.
Got a simple before-and-after for sql beautifier?
Sure. Before: SELECT id\nFROM users\nWHERE active = 1 After: select id from users where active = 1. That is the whole mood of the tool — same job, different clothing. If your real file is huge, try a representative slice first so you can see the rule, not a wall of text.
What about comments, strings, and data that look like code?
Strings are data. 'a + b' is not math. Comments are notes — minify may drop them, beautify should keep them if the engine sees them. SQL has its own trap: Keyword casing and clause breaks help humans. They do not optimize the query plan. Aliases and string literals are left alone on purpose.
Any fun SQL fact worth remembering?
Fun fact: In most engines SELECT and select are the same keyword, but "User" and "user" might be different identifiers. Format the keywords; leave the quotes alone.
Do I still need a bundler, Prettier, or a schema tool?
For an app in git: yes — keep the project formatter and the bundler. This sql beautifier is for the five-minute paste: a log line, a vendor dump, an email template, an API body. Different altitude, same mountain.
When should I not use a sql beautifier?
Skip it when the file is a binary, when you need a full language compiler, or when a single sample cannot represent the format (Excel workbooks, YAML with anchors, HTML that is really a React tree). Also skip minify as your only copy of source. Keep a readable original.