JSON to CSV Converter

Convert JSON arrays to CSV spreadsheet format with header row.

Input

Output

Options

Include header rowEnable

Delimiter

Examples

User data

[{"name":"John","age":30,"city":"Istanbul"},{"name":"Jane","age":25,"city":"Ankara"}]

Product inventory

[{"product":"Laptop","price":1200,"stock":15},{"product":"Mouse","price":25,"stock":100}]

Why Convert JSON to CSV?

JSON is perfect for APIs and programming, but CSV (Comma-Separated Values) remains the universal format for data exchange with spreadsheet applications like Excel, Google Sheets, and database tools. Converting JSON to CSV makes data accessible to non-technical users and enables bulk imports.

Many business analysts, marketers, and managers work exclusively in spreadsheets. Providing data in CSV format eliminates friction, allowing them to analyze, filter, and visualize information using familiar tools without requiring technical knowledge of JSON.

CSV files are smaller and faster to load than JSON for simple tabular data. When dealing with large datasets that don't need JSON's nested structure, CSV reduces file size by 30-50% and loads significantly faster in spreadsheet applications.

How JSON to CSV Conversion Works

This tool expects a JSON array of objects where each object represents a row. The first object's keys become column headers. For example, [{"name":"John","age":30}] produces headers 'name,age' and data row 'John,30'.

Nested objects and arrays are flattened using dot notation or stringified. A nested property like user.address.city becomes a column 'user.address.city'. Arrays are converted to comma-separated strings within quotes to prevent breaking CSV structure.

Special characters (commas, quotes, newlines) in data are handled according to RFC 4180 CSV standards. Values containing these characters are wrapped in double quotes, and quotes within values are escaped by doubling them ("").

Common JSON to CSV Use Cases

Database export and migration: Extract data from NoSQL databases (MongoDB, DynamoDB) as JSON and convert to CSV for importing into SQL databases. This enables cross-database data migration without custom scripts.

Analytics and reporting: Export JSON API responses (from Google Analytics, social media APIs, or custom dashboards) to CSV for analysis in Excel, Tableau, or Power BI. Non-technical stakeholders can then create pivot tables and charts.

E-commerce and inventory management: Convert product catalogs, order histories, or customer data from JSON APIs to CSV for bulk imports into e-commerce platforms, ERPs, or CRM systems.

Data sharing and collaboration: Share datasets with colleagues who may not have JSON tools. CSV opens in any spreadsheet application, making collaboration seamless across technical and non-technical teams.

Best Practices for JSON to CSV Conversion

Ensure consistent object structure: All objects in the JSON array should have the same keys. Missing keys result in empty CSV cells. Validate your JSON structure before conversion to prevent data misalignment.

Handle data types carefully: Dates should be formatted as strings before conversion (ISO 8601 format works well). Numbers should avoid thousand separators which conflict with CSV delimiters. Booleans convert to 'true'/'false' strings.

Choose appropriate delimiters: While commas are standard, semicolons work better for European locales where commas are decimal separators. Tab-separated (TSV) works well when data contains many commas.

Include UTF-8 BOM for Excel: Excel requires a Byte Order Mark (BOM) at file start to recognize UTF-8 encoding. Without it, special characters display incorrectly. This tool can add BOM automatically for Excel compatibility.

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