SQL Query Parameterizer
Paste a SQL query with inline values and instantly get a safe, parameterized version with placeholders — plus ready-to-paste code for PostgreSQL, MySQL, SQLite, Node.js, PHP and Python.
SELECT * FROM orders WHERE status = $1 AND total > $2 AND created_at >= $3 ORDER BY created_at DESC LIMIT $4;
Bound Parameters
4 found| Placeholder | Type | Value |
|---|---|---|
| $1 | string | 'shipped' |
| $2 | number | 99.95 |
| $3 | string | '2024-01-01' |
| $4 | number | 20 |
Why Parameterize?
- Eliminate SQL injection at the source
- Let the driver handle quoting and escaping
- Reusable prepared statements run faster
- Cleaner, safer code in reviews
- Stop building queries with string concatenation
What It Extracts
- Single-quoted string literals (with
''escapes) - Integer, decimal and scientific numbers
- Values inside
IN (...)lists - Leaves
NULL,TRUE,FALSEand identifiers alone - Skips comments and quoted column names
Privacy & Speed
- 100% client-side — nothing is uploaded
- Safe for production queries and PII
- No sign-up, no rate limits, no API keys
- Instant — runs entirely in your browser
- Free and open to use
About the SQL Query Parameterizer
The SQL Query Parameterizer takes a SQL statement that contains hard-coded
inline values — string literals like 'alice@example.com' and numbers like 99.95 — and rewrites it into a parameterized query where every value is replaced by a placeholder and supplied
separately as a bound parameter. This is the single most effective defense against SQL injection,
and it is the form your database driver actually wants.
It generates the correct placeholder syntax for each platform — $1, $2 for PostgreSQL, ? for MySQL and SQLite, %s for Python's psycopg2 — and produces copy-paste
ready snippets for Node.js (node-postgres), PHP (PDO) and Python. Everything runs in your browser,
so you can safely paste queries that contain proprietary schema names or sensitive values.
How to Use the SQL Query Parameterizer
- Paste a SQL query containing inline values into the SQL Query box on the left, or click an example (Simple SELECT, Filter + ORDER BY, INSERT, UPDATE, IN list).
- The tool parameterizes the query automatically as you type — no button press needed.
- Pick a target tab: PostgreSQL, MySQL, SQLite, Node.js, PHP or Python.
- Read the parameterized SQL or the full code snippet in the output panel — placeholders are inserted in order.
- Check the Bound Parameters table to confirm each extracted value, its type, and the placeholder it maps to.
- Click Copy to copy the output for the active tab, then paste it straight into your codebase.
Common Use Cases
- Fixing SQL injection — convert an unsafe concatenated query into a parameterized one in seconds.
- Refactoring legacy code — modernize old queries that inline user input directly into the SQL string.
- Switching drivers — translate placeholder styles when migrating between PostgreSQL, MySQL and SQLite.
- Learning prepared statements — see exactly how a raw query maps to placeholders and a bound-parameter array.
- Code reviews — quickly demonstrate the safe form of a query flagged during review.
- Scaffolding — generate Node.js, PHP or Python boilerplate for a query you already have.
Frequently Asked Questions
What does "parameterizing" a query mean?
It means removing literal values from the SQL text and supplying them separately as bound parameters. The database compiles the query with placeholders and then binds your values, so user input can never be interpreted as SQL code. This is the standard defense against SQL injection.
Is my SQL sent to a server?
No. Parsing and parameterization run entirely in your browser using JavaScript. Your queries, table names, column names and literal values never leave your device, so the tool is safe for production or sensitive queries.
Why does PostgreSQL use $1 while MySQL uses ??
Different drivers use different placeholder syntaxes. PostgreSQL (and node-postgres) use numbered placeholders $1, $2, $3. MySQL, SQLite and PHP's PDO use positional question marks ?. Python's psycopg2 uses %s. The tool emits the right style for whichever tab you select.
Does it parameterize NULL, TRUE or FALSE?
No. NULL, TRUE and FALSE are SQL keywords, not user-supplied values, so they are intentionally left in place. Only string literals and numeric literals are extracted as parameters.
Does it execute or validate my query?
No. The tool only analyzes the text of your SQL — it never connects to a database and never runs the query. It does not check column names or types, so it cannot catch schema errors; it only rewrites literals into placeholders.
Will it break values inside quoted identifiers or comments?
No. Double-quoted identifiers ("column"), backtick identifiers (`column`), line comments (--) and block comments (/* */) are skipped, so numbers and apostrophes inside them are never mistaken for values.
Why is a number inside a column name like user_id not parameterized?
The parser only treats a number as a literal when it stands on its own. Digits that are part of an identifier (such as col1 or user_id) are recognized as identifier characters and left untouched.
Can I use this for commercial or private work?
Yes. The tool is free for any purpose — commercial, private, educational or personal. Because nothing is transmitted off your device, there are no data-privacy concerns for internal business queries.