Convert copied Excel rows, IDs, and CSV lists into clean SQL IN clauses with custom quotation styles, delimiter control, and batch splitting.
Transform Excel rows, CSVs, and ID lists into SQL clauses
When debugging database queries, running ad-hoc reports, or filtering datasets in tools like DBeaver, pgAdmin, DataGrip, or SQL Server Management Studio, developers and data analysts frequently need to filter by a list of identifiers (such as user IDs, order numbers, or email addresses). Copying a vertical column from a spreadsheet or CSV and manually adding surrounding quotes, commas, and parentheses is slow, tedious, and prone to syntax errors.
UtilDash's SQL IN Clause Generator transforms raw lists and tabular columns into ready-to-run SQL IN clauses instantaneously. Paste any list separated by newlines, commas, or spaces, and choose your preferred quotation convention: single quotes ('value') for standard SQL strings, double quotes ("value") for identifiers, backticks (`value`) for MySQL, or unquoted values for integers, BigInts, and floating-point IDs.
To handle real-world database constraints, the tool includes intelligent Oracle batching (splitting lists exceeding 1,000 items into multiple `OR id IN (...)` blocks to avoid ORA-01795 errors), automatic deduplication of redundant values, whitespace trimming, and SQL quote escaping (converting single quotes like O'Connor into standard escaped O''Connor). Everything runs entirely in your local browser with zero server data transfer.
Most databases like PostgreSQL and MySQL support thousands of items, but Oracle Database strictly limits IN clauses to 1,000 expressions (ORA-01795). Our tool automatically splits lists over 1,000 items into multiple OR blocks to keep your queries compliant.
When the Escape Quotes option is checked, internal single quotes are escaped following standard SQL syntax by doubling the apostrophe (e.g. 'O''Reilly'), preventing query syntax errors.
Yes. Select the "Numbers (No Quotes)" option. The generator will produce unquoted comma-separated numbers suitable for BIGINT, INT, and numeric database columns.
No, never. UtilDash operates 100% client-side inside your browser JavaScript engine. Your data, table IDs, and sensitive records never touch any remote server or logging mechanism.
All processing happens locally in your browser. We never see, store, or transmit your data. This tool is fully client-side and secure.
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