JSON to CSV Converter
Convert between JSON and CSV formats instantly. All processing happens in your browser.
About JSON to CSV Converter
JSON (JavaScript Object Notation) and CSV (Comma-Separated Values) are two of the most common data exchange formats. JSON excels at representing structured and nested data, making it the standard for APIs and web services. CSV is a flat, tabular format ideal for spreadsheets, databases, and data analysis tools like Excel, Google Sheets, and pandas. This converter bridges the gap between these formats instantly, right in your browser.
When converting JSON to CSV, the tool automatically extracts all unique keys from your JSON array and uses them as column headers. Nested objects are flattened using dot notation (e.g., address.city), and arrays within objects are joined as comma-separated values. The reverse conversion parses CSV rows into a JSON array of objects, mapping each column header to a key.
Key Features
Multiple delimiter support lets you generate TSV (tab-separated), semicolon-separated, or pipe-delimited files for different tools and locales. The flatten option handles nested JSON structures by converting them to dot-notation columns. A live table preview shows your data in a familiar spreadsheet format before downloading. All processing happens locally with no server uploads.
Common Use Cases
Exporting API response data to spreadsheets for analysis. Converting database query results from JSON to CSV for reporting. Importing CSV data from Excel into JSON-based applications. Preparing data for tools that only accept CSV input, such as bulk import features in CRMs, email marketing platforms, and analytics dashboards.
FAQ
Q: Can it handle nested JSON objects?
A: Yes. When "Flatten Nested Objects" is enabled, nested objects are converted to dot-notation columns. For example, {"address": {"city": "NYC"}} becomes a column address.city with value NYC. Arrays are joined as comma-separated strings within a single cell.
Q: Is my data safe?
A: Absolutely. All conversion happens locally in your browser using JavaScript. No data is ever sent to any server. You can verify this by checking the network tab in your browser's developer tools.
Q: What JSON format does the tool expect?
A: For JSON to CSV conversion, the input should be a JSON array of objects, e.g., [{"name":"Alice","age":30}, {"name":"Bob","age":25}]. A single object is also accepted and will produce one row of data. The tool automatically detects all unique keys across all objects.
Q: How does CSV to JSON handle missing values?
A: If a row has fewer values than headers, missing fields are set to empty strings. Extra values beyond the number of headers are ignored. The parser correctly handles quoted fields containing commas, newlines, and escaped quotes.
Q: Which delimiter should I use?
A: Comma is the universal default for CSV files. Use tab for TSV files commonly used in data science. Semicolons are standard in European locales where commas are used as decimal separators. Pipes are useful when your data contains commas and semicolons.