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Convert CSV to SQL
Generate SQL INSERT, UPDATE, DELETE or native upsert with explicit keys and column types. Preview, copy and download for free.
CSV → SQL
Free conversion in your browser. Your file stays on this device.
- Choose your CSV
Open a file, paste CSV text, or try the sample.
- Review the preview
Choose a dialect, operation and column types; check the SQL.
- Copy or download
Save your .sql file with the current settings.
Output preview
INSERT INTO "csv_data" ("Project", "Status") VALUES (E'Website', E'Ready');
INSERT INTO "csv_data" ("Project", "Status") VALUES (E'Docs', E'In progress');Preview is limited to the first 20 rows and 16,000 characters. Download includes every row within the tool limits.
Three simple steps
How to convert CSV to SQL
- 1. Open your CSV
Choose a file up to 50 MB, paste CSV text, or try the fictional sample. The first row supplies column headers.
- 2. Review the output
Check the preview and available format settings. Edit CSV opens the same document in the editor; return with your changes intact.
- 3. Save your result
Copy the complete output or download a .sql file. No signup or payment is required.
Output contract
What the SQL converter writes
Choose PostgreSQL, SQLite or MySQL. Values default to text; explicit numeric types are validated. Choose batch INSERT or key-based UPDATE, DELETE and native upsert. CREATE TABLE is available for insertion; empty-cell NULL conversion is optional. No database connection is required.
The preview is bounded so larger files stay manageable. Downloads use the complete parsed document within the format limits, including changes made in the editor.
Parsing and conversion happen on your device. Your CSV is not uploaded to a conversion server. An error preserves the current input so you can adjust settings or edit the source and try again.
Plain answers
SQL conversion questions
Is this a real SQL file?+
Yes. The download is valid SQL text created from the parsed CSV table.
When is the download created?+
The output preview appears after parsing. Copy and download generate the complete output with your current settings; the preview can show fewer rows than the exported file.
What happens to data types?+
Cells stay as text by default, preserving identifiers and leading zeroes. SQL and SQLite allow explicit column types; invalid values are reported before download.