JSON to CSV Converter

The converter handles nested objects through dot notation flattening (e.g., 'user.address.city' becomes a single column) and provides options for customizing how nested structures are processed. You can choose to flatten completely, preserve specific nested levels, or convert nested objects to string representation.

The converter offers multiple options for handling arrays: you can join array elements with a custom delimiter, limit the number of array items included, maintain arrays as JSON strings, or flatten array elements into separate columns. The handling method can be configured based on your specific needs.

The converter supports JSON files up to 10MB in size. For larger datasets, we recommend splitting the data into smaller chunks. The tool processes data efficiently while maintaining data integrity and proper formatting throughout the conversion process.

Yes, you have full control over the CSV output format. You can customize the delimiter, choose which fields to include, specify how special characters are handled, set custom null value representations, and determine how dates and numbers are formatted. The tool also offers options for field wrapping and whitespace handling.

The converter automatically escapes special characters to maintain CSV format integrity. It provides proper handling of different data types including numbers, dates, booleans, and null values. You can configure how each data type is formatted in the final CSV output.

Yes, the converter generates standard-compliant CSV files that work with most spreadsheet applications and data analysis tools. It implements proper field escaping, offers various delimiter options, and ensures consistent formatting for maximum compatibility.

Yes, the converter provides a live preview of your CSV output as you adjust settings. You can review how your JSON data will be transformed, check field mappings, and verify formatting before generating the final CSV file. This helps ensure the output meets your requirements.

The generated CSV can be used in spreadsheet applications like Excel or Google Sheets, data analysis tools, database imports, or any system that accepts CSV input. You can copy the CSV content directly or download it as a file for further use in your workflows.

For best results: 1) Validate your JSON structure before conversion, 2) Consider how nested data should be represented, 3) Choose appropriate delimiter and formatting options, 4) Review field selections for relevant data, 5) Test with a small dataset first, and 6) Verify the output in your target application.