SQL IN Clause Builder

How to use

1. 1Paste your values into the Values box. One per line is easiest, but commas, semicolons, tabs, pipes, and JSON arrays also work; Auto split picks them up at the same time.
2. 2Pick a template at the top of Output: IN, NOT IN, WHERE IN, bare list, or a SELECT / DELETE / UPDATE skeleton. Set the column name and (for skeletons) the table name.
3. 3Choose Auto type detection to mix numeric and string values, or pin Force string / Force number when the column type is fixed.
4. 4Turn on Treat token as NULL if your export uses NULL or N/A for missing rows. The clause will emit IS NULL alongside the IN list so the predicate stays correct.
5. 5Adjust dedupe, sort, and chunk size to match the target database. The 1000 default chunk size keeps Oracle happy; raise it for MySQL or PostgreSQL.
6. 6Click Copy SQL to copy the final clause, or switch templates without retyping the list.

About this tool

SQL IN Clause Builder takes a free-form list of values, pasted from a spreadsheet column, a one-per-line export, a CSV row, a semicolon row, a tab row, a pipe row, or a JSON array, and turns it into a ready-to-paste SQL WHERE IN clause. The pipeline runs entirely in the browser and is deterministic: split, trim, drop empty items, deduplicate (case sensitive or case insensitive), sort with Intl.Collator (numeric=true so id3 sorts before id12), classify each value as numeric or string per item (with conservative rules that keep 007 as a string and reject bare scientific notation so product codes do not get mis-typed), and format the values for the target dialect. String literals are wrapped in single quotes with embedded single quotes doubled, which is portable across MySQL, PostgreSQL, SQLite, SQL Server, and Oracle, and there is an optional PostgreSQL E\'\' prefix that also escapes backslashes for clusters with standard_conforming_strings turned off. A NULL token toggle is included because SQL IN never matches NULL on its own (three-valued logic); when a row in your list represents NULL, the builder emits IS NULL alongside the IN clause so the final predicate stays correct, and switching to NOT IN flips it to IS NOT NULL the same way. Output templates cover the most common search shapes: a bare comma list ('a','b','c'), a full IN clause, a NOT IN clause, a WHERE-prefixed clause, and SELECT / DELETE / UPDATE skeletons that drop the IN clause into the right place. Long lists are automatically chunked to the configurable Oracle 1000 limit and stitched together with OR on the IN side or AND on the NOT IN side, which keeps the SQL valid against Oracle 11g and later while staying readable in every other dialect. Live counts show how many items, numerics, strings, NULLs, and chunks the result contains. Nothing is uploaded; the list you paste stays on your device.

Free to use. Works in your browser. No signup, no login.