JSON to CSV Converter

Convert JSON data into clean CSV spreadsheets instantly. Everything runs locally in your browser so your data never touches an external server.

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How to use

1

Paste or upload your JSON array or object into the editor, or click Try an example.

2

Choose your preferred delimiter (comma, semicolon, or tab) and toggle nested object flattening.

3

Click Convert to CSV to transform your data instantly into spreadsheet format.

4

Copy the CSV text to your clipboard or download it as a .csv file.

How JSON to CSV conversion works

JavaScript Object Notation (JSON) organizes information as hierarchical, nested key-value pairs and arrays. While this flexible schema is standard for REST APIs and NoSQL databases, data analysts and business teams frequently need flat, tabular structures to open in spreadsheet applications like Microsoft Excel, Google Sheets, or Apple Numbers. A JSON to CSV converter bridges this gap by extracting property names as column headers and mapping each object into a corresponding spreadsheet row.

Handling nested objects and arrays

Real-world JSON frequently contains nested sub-objects. For instance, a user record might contain a location object with city and country attributes. When Flatten nested objects is enabled, this tool automatically unpacks nested hierarchies using dot notation (such as location.city and location.country), preserving granular details without data loss. Array values are cleanly serialized into JSON strings inside their respective cells to avoid column misalignment.

RFC 4180 CSV compliance and escaping

Comma-separated values must adhere to the RFC 4180 specification to ensure universal compatibility across spreadsheet tools and data pipelines. The most common stumbling block in manual CSV generation is unescaped delimiters or line breaks within text fields. This converter automatically handles RFC 4180 escaping rules:

Values containing delimiters: Any cell text containing commas (or your chosen delimiter) is safely wrapped in standard double quotes (for example, "Doe, Jane").

Embedded quotation marks: If a string contains quotation marks, they are escaped by doubling them (such as "She said ""hello""").

Multiline text: Fields with line breaks are preserved inside double-quoted boundaries, ensuring your spreadsheet rows remain intact without splitting into corrupted records.

Complete local privacy guarantee

Data exported from production databases, CRM systems, or analytics dashboards often contains confidential customer records, financial figures, or internal identifiers. Unlike traditional online converters that transmit your payloads to remote third-party servers over HTTP, this tool executes entirely within your browser's local sandbox. Computation occurs in a dedicated client-side Web Worker thread, guaranteeing that your proprietary files never leave your computer.

Frequently asked questions

Does this converter upload my JSON data to any server?

No. All parsing, flattening, formatting, and CSV generation execute 100% inside your web browser. No network requests are made with your data.

What JSON structures are supported?

The tool accepts arrays of objects (the most common format for tabular export), single objects (converted to a single data row), and nested JSON trees.

Can I open the downloaded CSV file in Microsoft Excel or Google Sheets?

Yes. The generated output strictly complies with RFC 4180 and UTF-8 standards, making it immediately readable by Excel, Google Sheets, LibreOffice Calc, and data science libraries like Pandas.

What happens if some objects in the JSON array have different keys?

The converter automatically aggregates all unique keys across all objects to produce a comprehensive header set. If an object is missing a specific field, the corresponding cell is cleanly left blank.

Can I use custom delimiters like tabs or semicolons?

Yes. You can switch between standard commas, semicolons (popular in European locales where commas represent decimal points), and tabs (TSV format).