JSON CSV Converter

Direction is detected from what you paste. Use the toggle to override it.

CSV Output

CSV output will appear here..

How to Convert JSON to CSV and CSV to JSON Online

Paste or Load Your JSON Data

Copy a JSON array of objects from your API response, code editor, or database export and paste it into the input panel. You can also click Load Sample to see the expected format. The tool accepts arrays like [{"name":"Alice"},{"name":"Bob"}] as well as single objects.
Click Convert to CSV

Press the Convert to CSV button. The tool parses your JSON, extracts all unique keys as column headers, and maps each object to a row. Special characters, commas, and quotation marks are escaped automatically following the RFC 4180 CSV standard.
Review the CSV Output

Inspect the generated CSV in the output panel. Verify that column headers match your expected fields and that nested objects or arrays are stringified correctly. If you spot issues, edit your JSON input and convert again instantly.
Copy or Download the Result

Click Copy to place the CSV text on your clipboard, or click Download CSV to save a.csv file to your device. The downloaded file opens directly in Microsoft Excel, Apple Numbers, Google Sheets, LibreOffice Calc, or any CSV-compatible application.

Common Use Cases

Exporting API Data to Spreadsheets

REST APIs return data as JSON arrays. Convert API responses to CSV so product managers, analysts, and non-technical stakeholders can open the data in Excel or Google Sheets without writing code.

Preparing Data for Database Import

Many databases and ETL tools accept CSV for bulk imports. Convert JSON exports from MongoDB, Firebase, or CouchDB into CSV format for loading into MySQL, PostgreSQL, or data warehouses.

Generating Reports from JSON Logs

Application logs and analytics events stored as JSON can be converted to CSV for pivot tables, charts, and dashboards. This makes it easy to analyze trends without specialized log analysis tools.

Sharing Data with Non-Technical Teams

JSON is not human-friendly for people who work in spreadsheets. Convert JSON datasets to CSV so sales, marketing, and finance teams can filter, sort, and analyze the data using familiar tools.

Why Use Our JSON CSV Converter?

JSON is the standard data format for APIs and web services, but spreadsheets, databases, and business intelligence tools expect tabular data in CSV format. Manually restructuring JSON arrays into rows and columns is tedious, error-prone, and impractical for datasets with hundreds or thousands of records. This converter bridges the gap instantly: paste a JSON array of objects, click Convert, and get a properly escaped CSV file ready for Excel, Google Sheets, or any data analysis pipeline. All processing happens in your browser, so your data stays private and never touches a server.

JSON to CSV conversion is one of the most common data transformation tasks in web development and data analysis. APIs deliver data as JSON arrays, but spreadsheets, reporting tools, and relational databases work with tabular CSV format. This online converter handles the transformation in seconds: paste your JSON, click Convert, and download a standards-compliant CSV file. No signup, no file upload, and no server processing required. Everything runs in your browser using JavaScript.

The converter automatically detects all unique keys across your JSON objects and uses them as CSV column headers. Each object becomes a row, and values are properly escaped following the RFC 4180 specification. Commas inside values are quoted, line breaks within strings are preserved, and special characters are handled correctly. Nested objects and arrays are serialized as JSON strings within their cells, preserving the data without loss. For more complex flattening, you can preprocess your JSON using the jq Playground before converting.

If you need the reverse operation, the CSV to JSON converter transforms tabular data back into structured JSON. For validating your JSON before conversion, use the JSON Formatter to catch syntax errors. When working with other output formats, check the JSON to XML and JSON to YAML converters. All FindUtils tools run client-side with zero data uploaded to any server.

How it compares

Many online JSON to CSV converters upload your data to a remote server for processing, creating privacy and security risks when working with customer records, API keys, or proprietary datasets. FindUtils JSON to CSV Converter runs entirely in your browser. Your data never leaves your machine, there are no file size upload limits imposed by a server, and no account is required. This makes it safe for sensitive and confidential data.

Compared to command-line tools like jq or Python pandas, this browser-based converter requires zero installation and works on any device with a web browser. Unlike paid data transformation platforms that charge per row or per conversion, this tool is available with no usage caps. The output follows RFC 4180 CSV formatting standards, ensuring compatibility with Excel, Google Sheets, LibreOffice, database import tools, and any application that reads CSV files.

JSON to CSV Conversion Tips

Always start with a JSON array of objects where each object has consistent keys. Inconsistent keys still work, but missing fields will produce empty cells in those columns.
Nested objects and arrays are stringified into a single CSV cell. If you need flat columns, flatten your JSON structure first using the jq Playground or a script before converting.
Check that your JSON is valid before converting. A missing comma or bracket will cause a parse error. Use the JSON Formatter to validate and fix syntax issues first.
For very large datasets (5,000+ rows), the conversion still runs in your browser but may take a moment. Let it finish before copying or downloading.
When opening CSV files in Excel, use the import wizard to set the delimiter to comma and encoding to UTF-8. This prevents character encoding issues with accented or special characters.

Frequently Asked Questions

What JSON format is supported?

The converter works best with a JSON array of objects, for example [{"id":1,"name":"Alice"},{"id":2,"name":"Bob"}]. Each object in the array becomes a row in the CSV, and all unique keys across the objects become column headers. Single objects are also supported and produce a one-row CSV.

How are nested objects and arrays handled?

Nested objects and arrays are serialized as JSON strings within their CSV cell. For example, an address object like {"city":"London","zip":"E1"} appears as a single quoted string in the cell. If you need flat columns, preprocess your JSON to flatten nested structures before converting.

Is the conversion secure and private?

Yes. All conversion happens entirely in your browser using JavaScript. Your JSON data is never sent to any server, never stored, and never logged. This makes it safe for converting sensitive data including customer records, API responses with tokens, and proprietary datasets.

Can I open the CSV result in Excel or Google Sheets?

Yes. Click Download CSV to save a.csv file that opens directly in Microsoft Excel, Google Sheets, Apple Numbers, or LibreOffice Calc. For best results with special characters, use the UTF-8 encoding option when importing into Excel.

Is there a file size or row limit?

There is no server-side limit because all processing happens in your browser. In practice, the tool handles JSON arrays with thousands of objects and files up to several megabytes smoothly. Performance for very large datasets depends on your device's available memory.

What happens when objects have different keys?

The converter collects all unique keys from every object in the array and uses them as column headers. If an object is missing a particular key, the corresponding CSV cell is left empty. No data is lost, and the output remains a valid rectangular CSV.

How are commas and special characters handled in values?

Values containing commas, double quotes, or newlines are automatically wrapped in double quotes following the RFC 4180 CSV standard. Double quotes within values are escaped by doubling them. This ensures the CSV parses correctly in any compliant reader.

Does this JSON to CSV converter require a signup?

No. It is available with no signup, no usage limits. You can convert JSON to CSV as many times as you need without creating an account or paying for any plan.

Can I convert CSV back to JSON on this page?

Yes. This page converts both directions. Paste CSV instead of JSON and the tool switches to CSV to JSON automatically, or use the direction toggle above the editor. Each CSV row becomes one JSON object keyed by the header row. Turn off "First row is header" to get an array of arrays instead, which is the correct shape for a headerless file. The delimiter can be a comma, semicolon, tab, pipe, or any character you type.

What is the difference between JSON to CSV and JSON to Excel?

CSV is a plain text format that any spreadsheet application can open, while Excel (.xlsx) is a proprietary binary format with formatting, formulas, and multiple sheets. Converting JSON to CSV gives you maximum compatibility across tools. Once you have the CSV, you can import it into Excel and add formatting as needed.

Can I use a delimiter other than a comma?

Yes, the converter supports comma, semicolon, tab, and pipe delimiters. Choose the one that matches your CSV format.

Can I convert NDJSON or JSON Lines (.jsonl) with this tool?

No. This page reads one JSON document: an array of objects or a single object. A file with one JSON object per line is JSON Lines, also called NDJSON or JSONL, and it is not valid JSON as a whole. Use the NDJSON to CSV tool for that shape; it flattens nested keys, unions the columns across rows, and skips a bad line with a note. CSV to NDJSON does the reverse.

What happens to empty values and empty lines?

Empty values are converted to empty strings in JSON. Empty lines can be optionally skipped using the 'Skip empty lines' option.

Run it from code

$ curl -X POST \
  api.findutils.com/api/tools/json-to-csv/execute \
  -d '{"json":"[{\"a\":1,\"b\":2}]"}'

$ claude mcp add findutils \
  --transport http https://mcp.findutils.com/
# then call findutils:json_to_csv

API reference Add to Claude