Convert JSON to CSV
Free online JSON to CSV converter. No signup required.
Drag & drop your file here
or click to browse
Max file size: 100 MB
When to convert JSON to CSV
Use this conversion when your destination needs CSV and you have a JSON source. Keep the original so you can compare the result or try another supported format.
Check the output in your target application. Format conversion may change unsupported features, metadata or precision; retain the original file as your reference.
JSON vs CSV: Format Comparison
Side-by-side comparison of the source and target formats.
| Property | JSON (Source) | CSV (Target) |
|---|---|---|
| Extension | .json | .csv |
| Full Name | JSON File | CSV File |
| Compression | Varies | Varies |
| File Size | Medium | Medium |
| Best For | Web API request and response payloads (REST A… | Data export and import between databases and … |
| Browser Support | Wide | Wide |
How to Convert JSON to CSV
Follow these simple steps to convert your file in seconds.
Choose a JSON file
Select or drop one file up to 100 MB. Its extension must match this converter. Availability is checked before transfer.
Convert to CSV
Check the output in your target application. Format conversion may change unsupported features, metadata or precision; retain the original file as your reference.
Download and check the result
Use Download after conversion completes. Open the result and check its content, quality and formatting before sharing it. Download links expire one hour after upload finishes. Uploaded and converted files are removed automatically by regular cleanup. Files may become unavailable sooner when the service restarts.
Tips for Converting JSON to CSV
Practical advice to get the best results from this conversion.
Why this conversion is worth doing
JSON File has a known limitation: no support for comments, making annotated configuration files difficult. CSV File addresses this with a key advantage: universal compatibility with virtually every data application and programming language. Converting from JSON to CSV is most worthwhile when this specific trade-off matters for the way you intend to use the file.
Match the format to the actual workflow
JSON File is most commonly used for web api request and response payloads (rest apis), while CSV File is the standard for data export and import between databases and applications. If your workflow is closer to the second pattern, converting makes sense. If you are still working in a context where JSON is the norm, converting may create unnecessary compatibility friction with collaborators or tools that expect the source format.
Watch for this limitation in the CSV output
CSV File has its own limitation worth understanding before you commit: no support for data types, formatting, formulas, or multiple sheets. After the conversion completes, open the CSV file and verify that this limitation does not affect your specific use case — for some workflows it is irrelevant; for others it can be a deal-breaker.
Validate data types and encoding
Data format conversions often encounter type mismatches — for example, a JSON number may be imported as a string in CSV, or a date field may lose its format when exported to plain text. Always validate your data after conversion to ensure numeric, date, and boolean fields are correctly typed in the CSV output.
Understanding JSON and CSV Formats
Learn about the source and target file formats to understand what happens during conversion.
Source Format
JSON File
application/jsonJSON (JavaScript Object Notation) is a lightweight, text-based data interchange format derived from JavaScript object literal syntax. It supports nested objects, arrays, strings, numbers, booleans, and null values in a hierarchical structure. JSON has become the dominant data format for web APIs, configuration files, and modern application data exchange.
Advantages
- Native support in JavaScript and first-class parsing in virtually all programming languages
- Supports hierarchical nested data structures with objects and arrays
- Human-readable and relatively compact compared to XML
Limitations
- No support for comments, making annotated configuration files difficult
- No native date, binary, or custom data type support
- No schema enforcement by default, requiring external validation tools
Common Uses
- Web API request and response payloads (REST APIs)
- Application configuration files and settings
- NoSQL database storage and document interchange
Target Format
CSV File
text/csvCSV (Comma-Separated Values) is a plain-text tabular data format where each line represents a row and values within a row are separated by commas. It is the most universal format for exchanging structured data between different applications, databases, and programming languages. CSV files contain only raw data with no formatting, formulas, or multiple sheets.
Advantages
- Universal compatibility with virtually every data application and programming language
- Human-readable plain text that can be opened in any text editor
- Extremely lightweight with no overhead beyond the data itself
Limitations
- No support for data types, formatting, formulas, or multiple sheets
- Inconsistent handling of commas within values across different parsers
- No standardized encoding, leading to potential character set issues
Common Uses
- Data export and import between databases and applications
- Data science and machine learning dataset distribution
- Bulk data exchange and ETL (Extract, Transform, Load) pipelines
Frequently Asked Questions
Common questions about converting JSON to CSV.
Related Conversions
Explore other conversions related to JSON and CSV.