What Is a CSV to SQL INSERT Converter?
A CSV to SQL INSERT converter transforms comma-separated (or tab, semicolon, pipe) data into ready-to-run SQL INSERT statements. Instead of manually writing INSERT queries for every row, you paste your CSV, configure a few options, and get properly escaped, database-ready SQL in seconds. This tool runs 100% in your browser — your data is never uploaded to any server.
It supports multiple delimiters, automatic delimiter detection, file upload, drag-and-drop, URL import, batch INSERT mode, schema prefixes, configurable NULL handling, smart value type detection, and syntax-highlighted output.
How to Use This Tool
Add Your CSV
Drag and drop a CSV file onto the input area, click Upload to select a file, paste CSV text directly, or use URL Import to fetch a CSV from a remote address.
Configure & Generate
Set the correct delimiter if auto-detection doesn't match, toggle header row on or off, then click Generate SQL to produce the INSERT statements.
Customize SQL Options
Set your table name, schema prefix, empty cell handling (NULL or empty string), and toggle batch INSERT mode in the output panel.
Copy or Download
Copy the generated SQL to your clipboard or download it as a .sql file. The syntax-highlighted output lets you verify the statements before using them.
Features Explained
Multiple Delimiters & Auto-Detection
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Supports comma, tab, semicolon, pipe, and colon delimiters. When set to Auto, the tool scans the first line and picks the most likely separator. You can always override manually.
File Upload & Drag-and-Drop
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Upload a .csv, .tsv, or .txt file using the Upload button, or drag and drop a file directly onto the input area. The file contents are loaded into the textarea for conversion.
URL Import
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Click URL Import to fetch a CSV file from any remote address. The request goes directly from your browser to the target server — no intermediary.
Header Row Toggle
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When enabled (default), the first row of your CSV is used as column names in the INSERT statement. When disabled, columns are auto-named col1, col2, col3, etc.
Table Name
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Set the target SQL table name for the INSERT statements. Defaults to my_table. The name is automatically escaped with backticks to handle special characters and reserved words.
Schema Prefix
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Add an optional schema or database prefix (e.g., dbo, public, mydb) that appears before the table name in the generated SQL, producing fully qualified references like `dbo`.`my_table`.
Empty Cell Handling
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Choose how empty CSV cells are treated in the SQL output. NULL inserts the SQL NULL keyword. Empty string inserts an empty quoted string ''. Choose based on your table's column constraints.
Batch INSERT Mode
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When enabled, all rows are combined into a single INSERT statement with multiple VALUE tuples separated by commas. When disabled, each row generates its own INSERT INTO ... VALUES statement. Batch mode is significantly faster for large datasets.
Smart Value Detection
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The tool automatically detects value types: numbers stay unquoted, strings are single-quoted with proper escaping, NULL and boolean values (TRUE/FALSE) are recognized, and single quotes within strings are properly doubled.
Syntax-Highlighted Output
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The generated SQL is displayed with color-coded syntax highlighting — keywords (INSERT INTO, VALUES, NULL) in blue, identifiers in amber, strings in green, and numbers in purple.
Copy & Download
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Copy the entire generated SQL to your clipboard with one click (shows Copied! for 1.5 seconds), or download it as a .sql file named after your table (e.g., my_table.sql).
LocalStorage Persistence
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Your input CSV, generated output, and all settings are automatically saved to your browser's local storage. If you close the tab or refresh the page, your data will be restored.
Who Is This Tool For?
Database Administrators
Quickly import CSV exports into staging or production databases without writing INSERT statements by hand.
Backend Developers
Generate seed data or migration scripts from spreadsheets and CSV files for application databases.
Data Analysts
Convert exported reports and datasets into SQL for loading into analytical databases or data warehouses.
QA Engineers
Create test data INSERT scripts from CSV test fixtures to populate test databases reproducibly.
Students & Learners
Understand how CSV data maps to SQL INSERT syntax while learning database fundamentals.
Project Managers
Convert spreadsheet data into SQL for handoff to development teams without needing SQL expertise.
Supported Delimiters
| Format | Delimiter | Common Extensions | Auto-Detected |
|---|---|---|---|
| CSV | , (comma) | .csv | Yes |
| TSV | \t (tab) | .tsv, .txt | Yes |
| SSV | ; (semicolon) | .csv (EU) | Yes |
| PSV | | (pipe) | .psv, .txt | Yes |
| Colon-separated | : (colon) | .txt | Yes |
Tips for SQL INSERT Statements
Use Batch INSERT for large datasets
Batch mode generates a single INSERT with multiple VALUE tuples, which is significantly faster than individual INSERT statements when loading many rows.
Set the correct table name
Make sure your table name matches exactly what exists in your database. The tool automatically escapes it with backticks for safety.
Check your delimiter
If auto-detect picks the wrong delimiter, manually select the correct one. Tab-separated files from Excel are common and often mis-detected.
Handle NULLs carefully
Choose NULL for empty cells if your database columns are nullable. Choose empty string if they have NOT NULL constraints with default empty values.
Use schema prefix for clarity
When working with multiple schemas (e.g., dbo in SQL Server, public in PostgreSQL), set the schema prefix to generate fully qualified table references.
Review before running
Always review the generated SQL before executing it against your database. Check data types, NULL values, and escaped strings for correctness.
Privacy & Security
This tool runs 100% in your browser. Your CSV data is never uploaded to any server. All parsing, conversion, and escaping happens locally using JavaScript.
Your input and output are saved only in your browser's local storage so they persist when you refresh the page. You can clear them at any time using the “Clear” button. No cookies are used, no analytics track your data content, and no third-party services have access to what you convert.