toolember

Text tools

SQL IN Clause Generator & List Formatter

Generate a SQL IN() clause from any list in seconds, paste values one per line, pick a preset (strings, integers, NOT IN, CSV, Python list, JS array), and copy. Trim, dedupe, sort, and wrap the output however your query needs it. Nothing leaves your browser.

Format: 'value', 'value'

Input: 0Output: 0

Understanding the SQL IN Clause

The WHERE column IN (...) clause lets you filter rows against a fixed list of values in a single condition, it is equivalent to writing multiple OR predicates but far more readable and often better optimised by the query planner.

String values, use single quotes

SELECT * FROM orders
WHERE status IN ('pending', 'processing', 'shipped');

Integer values, omit quotes

SELECT * FROM users
WHERE id IN (101, 202, 303, 404);

NOT IN, exclude a list

SELECT * FROM products
WHERE category NOT IN ('archived', 'draft');

Works identically in MySQL, PostgreSQL, SQL Server, SQLite, BigQuery, and Snowflake, single-quoted string literals are the ANSI SQL standard.

How to Use

1. Paste your list

Copy a column from Excel, Google Sheets, a database result, or any text source. Each line becomes one item.

2. Pick a preset or configure

Choose SQL IN (strings), SQL IN (integers), NOT IN, CSV, Python list, JS array, or dial in wrap + delimiter manually.

3. Copy and use

Hit Copy to Clipboard. Paste directly into your SQL query, script, or config file.

Preset Reference

PresetWrapDelimiterExample output
SQL IN (strings)', 'a', 'b', 'c'
SQL IN (integers)none, 1, 2, 3
SQL NOT IN', 'a', 'b', 'c'
CSVnone,a,b,c
Quoted CSV","a","b","c"
Python list', ['a', 'b', 'c']
JS array", ["a", "b", "c"]

Common Use Cases

SQL WHERE IN(), ad-hoc queries

Export an ID column from a spreadsheet or BI tool, paste it here, and get a ready-to-paste IN clause for MySQL, PostgreSQL, SQL Server, BigQuery, or Snowflake.

Column to CSV / comma-separated list

Turn a vertical column of values into a single comma-separated line for API payloads, import configs, or spreadsheet COUNTIF formulas.

Python & JavaScript data structures

Generate a Python list literal or a JavaScript array literal directly from a pasted column, ready to drop into code.

Data cleanup before import

Deduplicate and trim a messy list of SKUs, emails, or tags before feeding them into a database, API, or ETL pipeline, the stats bar confirms the final count.

Frequently Asked Questions

How do I generate a SQL IN clause from a list of values?▾
Paste your values one per line into the input box, then click the "SQL IN (strings)" preset. The tool wraps each value in single quotes and joins them with commas: 'val1', 'val2', 'val3'. Copy the output and paste it inside your WHERE column IN (...) parentheses. For integer IDs (no quotes needed), use the "SQL IN (integers)" preset instead.
How do I generate a SQL NOT IN clause?▾
Click the "SQL NOT IN" preset. It produces the same single-quoted, comma-separated list. Then use it as: WHERE column NOT IN ('val1', 'val2', 'val3'). The tool handles the value formatting, you write the NOT IN keyword in your query.
Should I use quotes in a SQL IN clause for numeric IDs?▾
For pure integer columns it is best practice to omit quotes so the database doesn't have to cast: WHERE id IN (101, 202, 303). Use the "SQL IN (integers)" preset which sets wrap to None, giving you bare comma-separated numbers. For string or mixed columns, always use single quotes to prevent implicit type conversion and potential SQL injection.
How do I convert a spreadsheet column to a comma-separated list?▾
Copy the column from Excel, Google Sheets, or any spreadsheet, each cell pastes as a separate line. Paste into the input area, choose the CSV preset (or Quoted CSV if values contain commas), and copy the single-line output. The "Trim whitespace" option is on by default to clean up any extra spaces added by your spreadsheet app.
Can I remove duplicate values before joining?▾
Yes. The "Remove duplicates" checkbox is enabled by default. It performs case-sensitive deduplication and keeps the first occurrence of each value. The stats bar shows how many duplicates were removed so you can verify the count.
How do I create a Python list or JavaScript array from a column?▾
Use the "Python list" preset to get ['val1', 'val2', 'val3'] or the "JS array" preset to get ["val1", "val2", "val3"]. Both use square-bracket output wrapping. For a JS array of numbers, apply the "SQL IN (integers)" preset then switch "Wrap output in" to Square brackets.
Can I use a custom delimiter or wrap character?▾
Yes. Select "Custom…" from the Wrap character or Delimiter dropdown and type any character(s). Common examples: a semicolon (;) delimiter for European CSV, a pipe (|) delimiter for log formats, or a backtick (`) wrap for MySQL identifiers. Multi-character custom delimiters like ' OR ' work too.
Is my data safe? Does anything get sent to a server?▾
All processing runs entirely in your browser using JavaScript. No data is transmitted anywhere. You can verify this by turning off your internet connection, the tool will continue to work perfectly.
What is the maximum list size this tool can handle?▾
There is no enforced limit. The tool processes text client-side and handles tens of thousands of lines without issues. For very large lists (100K+ lines) there may be a brief delay during processing, but no data is uploaded so there is no network bottleneck.