CSV to SQL Converter
Convert CSV data into SQL statements with clearer schema, dialect, and output language. The page explains paste, upload, sample data, column types, INSERT generation, and handoff to CSV Query.
CSV Input
How to Use CSV to SQL
- Paste CSV, upload a file, or load sample data.
- Review inferred columns, adjust types, choose a SQL dialect, and set output options.
- Generate SQL, copy it, download a .sql file, or query the same data.
Features
- Paste, upload, and sample CSV entry points
- Editable schema language for name, type, nullable, and include settings
- MySQL, PostgreSQL, SQLite, and SQL Server dialect context
- Batch INSERT and NULL handling guidance
- Handoff to CSV Query for data checking
CSV to SQL: practical uses
This CSV to SQL converter supports CSV to SQL, CSV to INSERT, generate CREATE TABLE, SQL insert generator, and convert CSV online queries with developer-focused explanation.
Why it helps
- Best for: Turning spreadsheet exports into SQL seed data, test fixtures, and migration drafts.
- Privacy: The page keeps the privacy message close to the working area.
- Next step: Open the same data in CSV Query to test SELECT statements before exporting SQL.
Frequently Asked Questions
What SQL dialects are supported?
MySQL uses backtick quoting and AUTO_INCREMENT, PostgreSQL uses double-quoted identifiers and SERIAL, and SQLite uses INTEGER PRIMARY KEY AUTOINCREMENT for auto-increment fields.
How does chunked processing work?
Uploaded files are parsed in 5 MB chunks with PapaParse. The page logs progress and updates row counts while the CSV is read.
How does auto type detection work?
The tool samples the first 50 rows of each column and checks whether values match integers, decimals, booleans, dates, datetimes, or long text. Review and override detected types before using the SQL.
How are empty cells handled?
Empty cells are converted to NULL in the generated SQL INSERT statements.
What is batch INSERT?
Batch mode groups up to 500 rows into each INSERT statement, which creates fewer SQL statements for larger CSV files.