CSV to JSON Converter | Professional Web Tool

CSV to JSON Converter

Convert CSV data to JSON format instantly. Perfect for developers, data analysts, and anyone working with data.

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Click to upload or drag and drop a .csv file

Conversion Options

CSV Input
JSON Output
CSV Rows: 0
JSON Objects: 0
Status: Ready

About CSV to JSON Conversion

CSV (Comma Separated Values) is a simple tabular format, while JSON (JavaScript Object Notation) is a lightweight data format. This converter transforms CSV data into JSON format, making it easier to work with web applications and APIs.

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How to Use the CSV to JSON Converter

1

Input Your CSV

You can input your CSV data in three different ways:

  • Type or paste CSV directly into the input area
  • Upload a .csv file using the file upload option
  • Use one of the example CSV structures provided

Tip: The tool supports drag and drop for file uploads.

2

Configure Options

Adjust conversion options based on your needs:

  • Parse numbers: Convert numeric strings to numbers
  • Parse booleans: Convert "true"/"false" strings to booleans
  • Trim spaces: Remove extra spaces from values

Note: These options help create cleaner JSON output.

3

Convert to JSON

Click the "Convert to JSON" button to transform your CSV data into JSON format.

The converter will:

  • Parse CSV headers as JSON property names
  • Convert each CSV row to a JSON object
  • Apply data type conversion based on options
  • Format the JSON for readability
4

Review the Output

Check the JSON output to ensure it meets your requirements:

  • Verify all data has been converted correctly
  • Check data types (numbers, booleans, strings)
  • Ensure proper JSON formatting

Tip: Use the copy button to quickly transfer JSON to your code.

5

Download or Use

Once satisfied with the conversion:

  • Copy the JSON to your clipboard
  • Download the JSON as a .json file
  • Reset the tool to process another CSV

Pro Tip: The downloaded JSON file can be directly imported into applications.

6

Advanced Features

For advanced users:

  • Handles quoted values with commas
  • Supports different CSV delimiters
  • Automatic data type detection
  • Shows conversion statistics (rows, objects)

Note: For very large datasets, consider processing in chunks.

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