How to use the SQL IN Clause Generator
1. Enter the column name you want to filter on.
2. Paste your values — one per line. Numbers are detected and left unquoted.
3. Click Generate — the WHERE IN clause is ready to paste into any SQL query.
What is it?
The SQL IN clause is used to match a column against a list of values, which is cleaner and often faster than writing multiple OR conditions. This tool converts a plain list of values into correctly quoted SQL IN syntax.
Numbers are automatically kept unquoted. Strings containing single quotes are escaped with double-single-quote (SQL standard escaping).
Example
apple banana orange 42
WHERE name IN ('apple', 'banana', 'orange', 42)Numbers are kept unquoted automatically.
Benefits
Generate INSERT and CREATE TABLE statements instantly
Convert JSON, CSV, or a field list into ready-to-run SQL in seconds — no manual quoting, no counting columns, no copy-paste errors from spreadsheet data.
Build SELECT queries without memorising syntax
The visual query builder constructs WHERE conditions, ORDER BY, LIMIT, and DISTINCT clauses interactively — useful for anyone who writes SQL occasionally rather than daily.
Migrate between MongoDB and relational databases
Convert MongoDB find, insert, update, and delete operations directly to SQL equivalents — speed up data migration planning or schema exploration.
All your data stays in the browser
No SQL query, schema definition, or database content is ever uploaded to a server. Everything runs entirely client-side, making these tools safe to use with sensitive data.
Frequently asked questions
Can I use this for large lists?
Yes, but very large IN lists (thousands of values) can slow down queries. Consider using a temp table or a JOIN for better performance with large datasets.
What's the difference between IN and BETWEEN?
IN matches any value in a discrete list. BETWEEN matches a continuous range. Use BETWEEN for numeric or date ranges (e.g. WHERE age BETWEEN 18 AND 65).