CSV to SQL Converter

Convert any CSV file into SQL statements. Supports UTF‑8, GBK (Chinese), Big5, Shift_JIS, and more. Handles large files with async parsing. Auto‑detect schema and generate SQL for MySQL, PostgreSQL, SQLite, or SQL Server.

First row should contain column headers. Use quotes for fields containing commas or line breaks. Unicode is fully supported.
Zero‑data transfer: All conversion happens in your browser. No CSV or SQL is ever uploaded. Supports non-Latin encodings via browser's built-in decoder.

Processing CSV...

CSV to SQL: The Definitive Guide for Database Imports

Comma‑Separated Values (CSV) is the most common format for exchanging tabular data. However, to load CSV into a relational database, you need Structured Query Language (SQL) statements – either INSERT commands or a CREATE TABLE definition. Our CSV to SQL converter automates this process, inferring column names from the header row and data types from the values, producing dialect‑specific SQL that works with MySQL, PostgreSQL, SQLite, and SQL Server.

CSV → Streaming parse → Infer schema → Generate CREATE TABLE → Generate INSERT statements → SQL script

Why Use This Tool?

  • Full Unicode support: Handles UTF-8, GBK, Big5, Shift_JIS, and ISO-8859-1 via browser's TextDecoder.
  • Handles large files: Uses Papa Parse streaming parser – no UI freeze even for 500,000+ rows.
  • Intelligent type inference: Automatically detects INTEGER, REAL, TEXT, DATE, TIMESTAMP, or BOOLEAN.
  • Multi‑dialect support: MySQL, PostgreSQL, SQLite, SQL Server.
  • Privacy‑first: No data leaves your device.

How the Conversion Algorithm Works

The converter uses a high‑performance streaming parser (Papa Parse) to read CSV data asynchronously. For file uploads, it uses the browser's TextDecoder with the selected encoding (UTF‑8, GBK, etc.) to correctly interpret non‑English characters. The pipeline: (1) Decode file or read textarea; (2) Parse CSV into rows; (3) Extract header row and sanitize column names; (4) Scan up to 1000 rows to infer SQL data types; (5) Generate CREATE TABLE statement; (6) Generate INSERT statements for each data row, properly escaping strings.

Real‑World Use Case: Chinese E‑Commerce Data

Case Study: Multilingual Product Catalog

A Chinese e‑commerce platform exported product data containing UTF‑8 encoded CSV with Chinese characters in product names and descriptions. Using the converter with UTF‑8 encoding, they generated SQL INSERT statements that preserved all Chinese text. The SQL was then imported into a MySQL database with `utf8mb4` charset, ensuring no data corruption.

Frequently Asked Questions

Select the correct encoding from the "File Encoding" dropdown before uploading. For UTF‑8 files (most common), use UTF‑8. For GBK or Big5, choose accordingly. The textarea input already supports Unicode directly.

The tool automatically strips UTF-8 BOM if present. Other BOMs are handled by the encoding selection.

Yes. The SQL output is a UTF‑8 string. When you save the .sql file, it will be UTF‑8 encoded. Make sure your target database uses UTF‑8 (e.g., `utf8mb4` for MySQL).

Engineered for global data – This tool uses the browser's native TextDecoder API to support multiple encodings. Maintained by the GetZenQuery Tech team. Last updated April 2026.