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CSV to SQL converter — INSERT statements for PostgreSQL, MySQL, and SQL Server

Use this free CSV to SQL converter to turn spreadsheet or export files into INSERT INTO … VALUES scripts for database seeding, staging imports, and quick migrations. Paste comma-separated, semicolon-separated, tab-separated (TSV), or pipe-delimited text—or upload a file. Everything runs in your browser: no CSV upload to a backend for conversion. Choose ANSI (PostgreSQL / SQLite), MySQL, or SQL Server identifier quoting, optionally batch many rows per INSERT, and copy or download a ready .sql file.

Delimiter: Auto (Comma) · 3 data row(s), 3 column(s)
Delimiter
Identifier quoting
INSERT style

SQL output

Review before running on production. Create the destination table (or align column types) before executing generated INSERTs.

Why generate SQL INSERT statements from CSV?

Teams still ship a lot of truth in CSV: product catalogs, referral codes, locale strings, and QA fixtures. Databases want typed rows. Bridging the gap with hand-written INSERTs is slow and error-prone. A CSV to INSERT generator produces repeatable SQL you can drop next to schema migrations, run in CI against a disposable database, or email to a DBA for review. When you only need JSON for an API mock, our CSV to JSON converter is the parallel path; when JSON already exists, JSON to CSV flows the other direction.

How to use this CSV to SQL tool (step by step)

  1. Paste or upload your file. Quoted fields that contain delimiters (for example "Acme, LLC",2024) are parsed using common CSV escaping rules.
  2. Set Table name to match your destination table. Pick Delimiter Auto unless you know the separator (European CSV often uses semicolons).
  3. Enable First row is header so column names come from the header cells (duplicates become name_2, etc.). Choose identifier quoting for your engine: double quotes for PostgreSQL/SQLite, backticks for MySQL, brackets for SQL Server.
  4. Toggle Smart typing when empty cells should become NULL, numeric cells unquoted, and true/false converted to TRUE/FALSE. Turn it off if every value must be inserted as a string.
  5. Pick Batched VALUES for fewer round-trips or one INSERT per row for smaller, reviewable statements. Use Copy SQL or Download .sql, then optionally run the text through our SQL formatter for consistent indentation in git.

CSV tooling workflow: view, dedupe, then SQL

Before you freeze rows into SQL, it helps to inspect the grid. Our CSV viewer & editor lets you sort, filter, and fix cells in the browser. If duplicates would break unique constraints, clean the file with the CSV deduplicator keyed on the columns that matter, then generate INSERTs from the cleaned export.

SEO, content, and structured data pipelines

Marketing and SEO teams often maintain keyword matrices, redirect maps, and landing-page inventories in spreadsheets. Engineering may need those same rows inside Postgres for a static site generator, edge config, or internal admin UI. Converting CSV to SQL locally keeps proprietary search data off random SaaS parsers and makes audits easier: you can diff SQL the same way you diff code. For line-oriented text transforms before CSV export, the comma separator tool can reshape lists into delimiter-ready columns.

Safety, review, and production imports

This page generates text only—it does not execute SQL against a database. Always run generated scripts on a staging copy first, watch for type mismatches (especially dates and booleans), and confirm identifier quoting matches how the table was created. For very large files, prefer your database's native bulk loader after using this tool to prototype a smaller subset.

Privacy and performance

Parsing and string building happen client-side in JavaScript, which suits PII-heavy customer lists and unreleased catalog data. Extremely large pastes may stress the tab; split files or raise rows per statement gradually if your server rejects oversized packets.

Related file and data tools

Browse every utility in File & data tools on the home page, or open a focused tool below.

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Frequently asked questions

What does a CSV to SQL converter do?
It reads tabular text (comma-, tab-, semicolon-, or pipe-separated) and prints INSERT INTO … VALUES statements you can run in PostgreSQL, MySQL, SQL Server, SQLite, or paste into migration scripts. The first row can be treated as column names so each following row becomes one database row.
Is my CSV uploaded to your servers?
No. Parsing and SQL generation run entirely in your browser using JavaScript. Use this for customer lists, product feeds, or staging data without sending files through a third-party API. For viewing data before converting, try our CSV viewer and editor in the File & Data Tools section.
Which SQL dialect should I choose?
Pick ANSI (double-quoted identifiers) for PostgreSQL and SQLite. Choose MySQL for backtick-quoted tables and columns. Choose SQL Server for bracket identifiers. String values always use single quotes with standard SQL escaping (apostrophes doubled). If your engine rejects quoted identifiers, create the table with matching names or adjust quotes manually.
What is the difference between one INSERT per row and batched VALUES?
One row per statement is easy to read, diff in version control, and retry line-by-line. Batched INSERTs group many rows into a single statement with multiple value tuples, which is often faster on the server for large imports. Use a moderate batch size if your database has a max packet or query length limit.
How does smart typing affect SQL output?
When typing is on, empty cells become NULL, integers and decimals become unquoted numbers, and true/false (case-insensitive) become TRUE/FALSE. Everything else stays a quoted string. Turn typing off if every column must be inserted as text (for example before you cast in SQL).
Can I use this for database seeding and migrations?
Yes. Developers often export a seed spreadsheet to CSV, generate INSERTs, and paste them into seed.sql or a migration folder. Pair the result with our SQL formatter to pretty-print before committing. For JSON-first workflows, use CSV to JSON or JSON to CSV from the Code & Developer Tools section.
How are duplicate column headers handled?
Duplicate header labels are renamed to name, name_2, name_3, and so on so every column identifier is unique, matching how our CSV to JSON tool builds object keys.
What if my CSV has commas inside quoted fields?
The parser follows common CSV rules: fields wrapped in double quotes can contain commas, and a quote inside a field is escaped as two double quotes. This keeps columns aligned so INSERT column order matches your file.