JSON to CSV Converter – Free Online Tool

JSON to CSV Converter

Convert JSON data to CSV format easily. Perfect for data analysis, spreadsheet imports, and database migrations.

Input Method

JSON Input

Understanding JSON and CSV Conversion

What is JSON?

JSON (JavaScript Object Notation) is a lightweight data interchange format that is easy for humans to read and write and easy for machines to parse and generate. It is based on a subset of JavaScript language and is commonly used for transmitting data in web applications.

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 consisting of one or more fields, separated by commas. CSV files are widely supported by data analysis tools, spreadsheet applications, and databases.

Why Convert JSON to CSV?

There are several reasons why you might want to convert JSON data to CSV format:

  • Data Analysis – Import JSON API responses into spreadsheet software for analysis
  • Database Import – Prepare JSON data for import into databases that accept CSV format
  • Legacy System Integration – Convert modern JSON data for use with older systems that only support CSV
  • Reporting – Transform JSON data into a tabular format for reporting purposes
  • Data Visualization – Prepare data for visualization tools that work better with CSV input

Challenges in JSON to CSV Conversion

Converting JSON to CSV presents several challenges due to the fundamental differences between these formats:

  • Nested Structures – JSON supports deeply nested objects and arrays, while CSV is flat
  • Data Types – JSON has rich data types (objects, arrays, strings, numbers, booleans, null), while CSV treats everything as text
  • Inconsistent Structure – JSON arrays may contain objects with different properties, making it difficult to determine CSV headers
  • Special Characters – CSV has special handling for commas, quotes, and newlines that must be properly escaped

Our JSON to CSV converter handles these challenges by providing options to flatten nested objects and automatically generating appropriate headers based on the JSON structure.

Frequently Asked Questions

How does the JSON to CSV converter handle nested objects?

Our converter provides an option to flatten nested objects by concatenating the property names with an underscore notation. For example, a nested object like {"user": {"name": "John"}} can be flattened to a CSV column with header user_name. If you choose not to flatten nested objects, they will be stringified as JSON in the CSV output.

Can I convert JSON arrays to CSV?

Yes, our converter handles JSON arrays in two ways. If your JSON is an array of objects, each object will become a row in the CSV with columns derived from the object properties. For arrays within objects (like tags or list fields), they will be flattened with numbered columns (e.g., tags_01, tags_02) when the flatten option is selected. This makes it easier to work with array data in spreadsheet applications.

What happens if my JSON objects have different properties?

Our converter analyzes all objects in the JSON array to identify all unique properties, which become the CSV headers. If an object doesn’t have a particular property, the corresponding CSV cell will be empty. This ensures that all data is properly represented in the CSV output, even with inconsistent JSON structures.

Is there a size limit for JSON conversion?

Our converter processes data in your browser, so the practical size limit depends on your device’s memory. For very large JSON files (over 10MB), you might experience slower performance. If you need to convert extremely large JSON files, consider using a desktop application or command-line tool designed for handling large datasets.

How are special characters handled in the CSV output?

Our converter follows standard CSV escaping rules: fields containing commas, double quotes, or newlines are enclosed in double quotes. Double quotes within fields are escaped by doubling them. This ensures that the generated CSV can be correctly parsed by spreadsheet applications and other CSV processing tools.