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Table converters · CSV

CSV to SQL converter

Paste CSV and get a clean SQL output. Nothing leaves your browser.

Runs in your browser No signup Free forever
Convert
CSV

Switch the target to jump straight to any of the 28 CSV converters.

Input csv
Table 0 rows
Dimensions: 0 x 0
Output sql
Nothing is uploaded
Same source, other targets

Convert CSV to anything else

ActionScript .as ASCII .txt ASP .asp Avro .avro BBCode .bb DAX .dax Excel .xlsx Firebase .json HTML .html INI .ini JSON .json LaTeX .tex Markdown .md MATLAB .m MediaWiki .wiki Pandas DataFrame .py Protobuf .proto Qlik .qvs R DataFrame .r RDF .rdf reStructuredText .rst Textile .textile TOML .toml TracWiki .wiki TSV .tsv XML .xml YAML .yml

All table converters

How it works

Three steps, no account

1

Paste or drop your CSV

Comma-separated values with a header row works best. You can also upload a .csv file directly.

2

Review the table

Transpose it, delete blank rows, or remove duplicates before you generate output.

3

Pick a format and generate

Choose from 28 output formats, then copy the result or download it as a file.

FAQ

Common questions

Is my data uploaded anywhere?
No. Parsing, editing, and generating output all run in your browser using JavaScript — the CSV you paste or upload never touches a server.
How large a file can I convert?
There's no server-side limit because there's no server involved — your browser's own memory is the ceiling.
What happens if a row has the wrong number of columns?
The parser expects every row to have the same number of comma-separated values as the header row and flags "Invalid CSV format" if one doesn't — fix the mismatched row and it'll re-parse as you type.
Can I edit the data before converting?
Yes — the table below the input lets you transpose rows and columns, delete blank rows, or remove duplicate rows before you generate the final output.
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Related

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CSV to JSON Delimited text back to structured objects.
CSV to Excel Same data, a real downloadable .xlsx.
CSV to SQL Turn rows into ready-to-run INSERT statements.
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How to Convert CSV to SQL INSERT Statements Online?

Transform your CSV data into SQL INSERT statements using our online converter. This is useful for importing spreadsheet data into relational databases.

1. Upload or Paste Your CSV Data

Upload your CSV file or paste your CSV data into the provided input area. The converter will automatically detect the delimiter (usually a comma) used in your CSV file.

2. Configure the SQL Output

This step is crucial. You will need to specify details about your database and the target table:

  • Database Type: Select the type of database you're targeting (e.g., MySQL, PostgreSQL, SQL Server). The generated SQL will vary slightly depending on the database system.
  • Table Name: Specify the name of the table into which the data will be inserted.
  • Column Names: The converter will attempt to infer column names from the CSV header row. You might need to review and correct these if necessary.
  • Data Types (Optional): Some converters allow you to specify the data types of the columns in your SQL table. This is important for ensuring data integrity.

3. Generate and Preview the SQL

The converter will generate the SQL INSERT statements based on your configuration. A preview area will allow you to review the generated SQL before downloading or copying it.

4. Download or Copy the SQL Code

The generated SQL code can be downloaded as a .sql file or copied to your clipboard for pasting into a database client or script. You can then execute the SQL code to import the data into your database.

What is CSV?

CSV (Comma-Separated Values) is a simple file format used to store tabular data, such as a spreadsheet or database. Each line of the file is a data record, with each field separated by commas.

What is an SQL INSERT Statement?

An SQL INSERT statement is used to add new rows of data into a database table. A simple example:

INSERT INTO employees (id, name, department) VALUES (1, 'John Doe', 'Sales');

This converter will generate a series of INSERT statements, one for each row in your CSV data, populating the specified table with your data. The generated SQL will be tailored to the database type you select.