JSON to CSV Converter Online

Nested objects are flattened using dot notation for column headers. For example, {"user": {"name": "John", "address": {"city": "NYC"}}} becomes columns "user.name" and "user.address.city". This approach preserves the hierarchy in the column name while keeping the CSV flat and easy to work with in any spreadsheet or database.

Top-level arrays of objects are converted so each object becomes a row and each unique key becomes a column. Nested arrays within objects can be expanded into multiple rows or serialized as a delimited string in a single cell, depending on your preference. Arrays of primitives like [1, 2, 3] are joined into a single cell value.

Yes. The converter generates fully Excel-compatible CSV files with proper quoting, UTF-8 BOM encoding, and escaped special characters. You can double-click the .csv file to open it in Excel, or use File > Import > CSV for more control over column types and delimiters. Google Sheets also opens these files correctly.

Yes. JSON files with thousands of records (up to 10 MB) convert quickly in the browser. The converter processes data efficiently without loading everything into memory at once. For extremely large datasets (50 MB+), consider command-line tools like jq or a Python script with pandas for better performance.

Yes. While comma is the default, you can switch to semicolons (standard in many European locales where commas are decimal separators), tabs (producing TSV files), or pipes. This flexibility ensures compatibility with whatever system or locale you are working with.

The converter unions all keys across all objects to create the full set of column headers. Objects missing a particular key get an empty cell for that column. This ensures no data is lost and every record aligns properly in the tabular output.

Yes. Values containing commas, double quotes, newlines, or other special characters are automatically wrapped in double quotes per RFC 4180. Double quotes within values are escaped by doubling them. Unicode characters are preserved with UTF-8 encoding.

Absolutely. AllJSONTools has a dedicated CSV to JSON converter that reads CSV files and produces an array of JSON objects. Column headers become JSON keys, and each row becomes an object. The round-trip preserves your data structure.

Use our JSONPath Query tool first to extract the fields you need (e.g., $.data[*].{name, email, role}), then paste the filtered result into this CSV converter. This two-step approach is useful when your JSON has many fields but you only need a subset in your spreadsheet.