How to Change from JSON to CSV Format?

Our tool can convert JSON to CSV format . Follow the instruction below: Upload JSON document Click 'Run Conversion' button When the file is converted - download CSV file

Can I choose how nested JSON is laid out in the CSV?

Yes. Use the Output layout option to control how nested JSON becomes rows and columns: Table (default) - one column per field, one row per record; best for flat or lightly nested JSON. Key / Value - two columns (the field path and its value), one row per value; handy for deeply nested or irregular JSON. One row per element - every value on its own row with its full path; useful for flattening or auditing. Nested levels - the path is split across columns (level 1, level 2, and so on) followed by the value; good for pivot-style analysis. One row per record - keeps each record on a single row and spreads repeating nested lists into indexed columns (for example line_items/0/amount, line_items/1/amount); best when every object should stay one row even with nested arrays.

Which delimiter can I use for the CSV output?

You can pick the column delimiter that suits your target tool: comma , semicolon , vertical bar (pipe), tab , colon , caret (^), tilde (~), or space . Pipe, caret and tilde are popular when importing into databases or older systems where the data itself contains commas.

How Much Time Does it Take to Convert JSON to CSV?

The time it takes is dependent on how large the input data is. If the provided data is big, it takes more time (from minutes to hours) compared to small data (usually, seconds).

Is It Safe to Convert JSON to CSV Using Our Converter?

All files uploaded to our website and the generated after convert process are encrypted with the best advanced encryption technologies.

Why Should you Use Conversion Tools?

Since 2010, we have converted data online using 'State of the Art' Web Technologies. We also have numerous online converters for converting various files, including documents, data, eBooks, audio, and video. All our storage is encrypted, and we offer Custom Converter development.

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Convert JSON to CSV

Online Converter: Convert JSON file into CSV format

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Transform your JSON data into CSV format for easy analysis in spreadsheet applications like Excel, Google Sheets, or database imports. Our converter flattens JSON structures into clean, tabular CSV files that are simple to work with.

CSV (Comma-Separated Values) is the universal format for tabular data - readable by virtually every spreadsheet application, database tool, and data analysis platform.

Working with Indian GST returns? Our dedicated GSTR JSON to CSV converter turns GSTR-1, GSTR-2A, GSTR-2B and GSTR-3B JSON into clean per-section CSV files.

Why Convert JSON to CSV?

While JSON is ideal for APIs and programming, CSV excels at human-readable data analysis:

Spreadsheet Analysis: Open in Excel, Google Sheets, or LibreOffice Calc to filter, sort, create charts, and run formulas on your data.
Database Import: CSV is the standard format for importing data into MySQL, PostgreSQL, SQLite, and most database management systems.
Human Readability: CSV files can be opened in any text editor and are instantly understandable - each row is a record, each column a field.
Universal Compatibility:Every data tool supports CSV import/export. It's the common denominator for data exchange between systems.
Smaller File Size:CSV files are typically smaller than JSON because they don't repeat field names for every record.

How the Conversion Works

Our converter transforms JSON arrays into rows and object keys into columns:

Nested JSON rarely maps cleanly onto a single flat table. The Output layout option lets you choose exactly how nested fields become rows and columns in the CSV. Pick the shape that matches how you will use the data:

Tabletable

One column per field, one row per record. The default, and the best fit for flat or lightly nested JSON.

Input (JSON)

json

{
  "order": {
    "id": "1001",
    "status": "paid",
    "item": { "sku": "A1", "qty": "2" }
  }
}

Output (CSV)

csv

"order","id","status","item","sku","qty"
,"1001","paid",,"A1","2"

Key / Valuekey_value

Two columns, the field path and its value, with one row per value. Ideal for deeply nested or irregular JSON where a fixed set of columns does not fit.

Input (JSON)

json

{
  "order": {
    "id": "1001",
    "status": "paid",
    "item": { "sku": "A1", "qty": "2" }
  }
}

Output (CSV)

csv

"key","value"
"order/id","1001"
"order/status","paid"
"order/item/sku","A1"
"order/item/qty","2"

One row per elementelement_rows

Every value on its own row alongside its full path. Useful for flattening or auditing all values in one long list.

Input (JSON)

json

{
  "order": {
    "id": "1001",
    "status": "paid",
    "item": { "sku": "A1", "qty": "2" }
  }
}

Output (CSV)

csv

"path","text"
"order/id","1001"
"order/status","paid"
"order/item/sku","A1"
"order/item/qty","2"
"order/item",
"order",

Nested levelspath_levels

The path is split across columns (level 1, level 2, and so on) followed by the value. Good for pivot-style analysis by depth.

Input (JSON)

json

{
  "order": {
    "id": "1001",
    "status": "paid",
    "item": { "sku": "A1", "qty": "2" }
  }
}

Output (CSV)

csv

"level_1","level_2","level_3","value"
"order","id",,"1001"
"order","status",,"paid"
"order","item","sku","A1"
"order","item","qty","2"
"order","item",,
"order",,,

One row per recordNewtranspose

Keeps each record on a single row and spreads repeating nested lists into indexed columns (for example line_items/0/amount, line_items/1/amount). The best fit when every record must stay one row even with nested arrays.

Input (JSON)

json

{
  "order": [
    { "id": "1001", "item": [ { "sku": "A1" }, { "sku": "B7" } ] },
    { "id": "1002", "item": [ { "sku": "C3" } ] }
  ]
}

Output (CSV)

csv

"order","id","item/0","item/0/sku","item/1","item/1/sku"
,"1001",,"A1",,"B7"
,"1002",,"C3",,

For Excel output instead of CSV, use our JSON to Excel converter.

JSON Format Overview

JavaScript Object Notation is a text-based format that represents structured data using key-value pairs (objects) and ordered lists (arrays).

JSON is widely used for API responses, configuration files, and data storage. While machines parse it easily, nested structures can be difficult for humans to scan through.

Format Resources

JSON.org - Official JSON specification
RFC 8259 - The JSON Data Interchange Format (IETF)

CSV Format Details

Comma-Separated Values stores tabular data as plain text. Each line represents a row, with fields separated by a delimiter character.

Delimiter Options

While comma is the default, our converter supports multiple delimiters:

Comma (,) - Standard CSV: value1,value2,value3
Semicolon (;) - Common in European locales: value1;value2;value3
Tab - TSV format: value1→value2→value3
Pipe (|) - For data with commas: value1|value2|value3

Format Resources

RFC 4180 - Common Format and MIME Type for CSV Files (IETF)

Related Converters

CSV to JSON - Convert CSV back to JSON format
JSON to Excel - Convert directly to spreadsheet format
JSON to XML - Transform to XML for data interchange
JSONL to CSV - Convert JSON Lines to CSV

Frequently Asked Questions

How do I convert JSON to CSV?

Upload your JSON file
Select delimiter options if needed
Click "Run Conversion"
Download your CSV file

How are nested JSON objects handled?

Nested objects are flattened into columns using dot notation (e.g., address.city). Arrays within objects become separate rows or comma-joined values depending on the structure.

Is my data secure?

Yes. All uploads use encrypted HTTPS. Source files are deleted immediately after conversion, and results are removed within 24 hours.

Can I convert large JSON files?

Yes, the converter handles large files efficiently. For very large datasets or API integration, check our API documentation.

Popular use cases

JSON & API Data to Spreadsheet

Turn JSON files and API responses into Excel or CSV - flatten nested objects and arrays into the exact rows and columns you need for analysis.

Explore

CSV (Comma-Separated Values) is the universal format for tabular data - readable by virtually every spreadsheet application, database tool, and data analysis platform.

Working with Indian GST returns? Our dedicated GSTR JSON to CSV converter turns GSTR-1, GSTR-2A, GSTR-2B and GSTR-3B JSON into clean per-section CSV files.

Why Convert JSON to CSV?

While JSON is ideal for APIs and programming, CSV excels at human-readable data analysis:

Spreadsheet Analysis: Open in Excel, Google Sheets, or LibreOffice Calc to filter, sort, create charts, and run formulas on your data.
Database Import: CSV is the standard format for importing data into MySQL, PostgreSQL, SQLite, and most database management systems.
Human Readability: CSV files can be opened in any text editor and are instantly understandable - each row is a record, each column a field.
Universal Compatibility:Every data tool supports CSV import/export. It's the common denominator for data exchange between systems.
Smaller File Size:CSV files are typically smaller than JSON because they don't repeat field names for every record.

How the Conversion Works

Our converter transforms JSON arrays into rows and object keys into columns:

Tabletable

One column per field, one row per record. The default, and the best fit for flat or lightly nested JSON.

Input (JSON)

json

{
  "order": {
    "id": "1001",
    "status": "paid",
    "item": { "sku": "A1", "qty": "2" }
  }
}

Output (CSV)

csv

"order","id","status","item","sku","qty"
,"1001","paid",,"A1","2"

Key / Valuekey_value

Two columns, the field path and its value, with one row per value. Ideal for deeply nested or irregular JSON where a fixed set of columns does not fit.

Input (JSON)

json

{
  "order": {
    "id": "1001",
    "status": "paid",
    "item": { "sku": "A1", "qty": "2" }
  }
}

Output (CSV)

csv

"key","value"
"order/id","1001"
"order/status","paid"
"order/item/sku","A1"
"order/item/qty","2"

One row per elementelement_rows

Every value on its own row alongside its full path. Useful for flattening or auditing all values in one long list.

Input (JSON)

json

{
  "order": {
    "id": "1001",
    "status": "paid",
    "item": { "sku": "A1", "qty": "2" }
  }
}

Output (CSV)

csv

"path","text"
"order/id","1001"
"order/status","paid"
"order/item/sku","A1"
"order/item/qty","2"
"order/item",
"order",

Nested levelspath_levels

The path is split across columns (level 1, level 2, and so on) followed by the value. Good for pivot-style analysis by depth.

Input (JSON)

json

{
  "order": {
    "id": "1001",
    "status": "paid",
    "item": { "sku": "A1", "qty": "2" }
  }
}

Output (CSV)

csv

"level_1","level_2","level_3","value"
"order","id",,"1001"
"order","status",,"paid"
"order","item","sku","A1"
"order","item","qty","2"
"order","item",,
"order",,,

One row per recordNewtranspose

Input (JSON)

json

{
  "order": [
    { "id": "1001", "item": [ { "sku": "A1" }, { "sku": "B7" } ] },
    { "id": "1002", "item": [ { "sku": "C3" } ] }
  ]
}

Output (CSV)

csv

"order","id","item/0","item/0/sku","item/1","item/1/sku"
,"1001",,"A1",,"B7"
,"1002",,"C3",,

For Excel output instead of CSV, use our JSON to Excel converter.

JSON Format Overview

JavaScript Object Notation is a text-based format that represents structured data using key-value pairs (objects) and ordered lists (arrays).

JSON is widely used for API responses, configuration files, and data storage. While machines parse it easily, nested structures can be difficult for humans to scan through.

Format Resources

JSON.org - Official JSON specification
RFC 8259 - The JSON Data Interchange Format (IETF)

CSV Format Details

Comma-Separated Values stores tabular data as plain text. Each line represents a row, with fields separated by a delimiter character.

Delimiter Options

While comma is the default, our converter supports multiple delimiters:

Comma (,) - Standard CSV: value1,value2,value3
Semicolon (;) - Common in European locales: value1;value2;value3
Tab - TSV format: value1→value2→value3
Pipe (|) - For data with commas: value1|value2|value3

Format Resources

RFC 4180 - Common Format and MIME Type for CSV Files (IETF)

Related Converters

CSV to JSON - Convert CSV back to JSON format
JSON to Excel - Convert directly to spreadsheet format
JSON to XML - Transform to XML for data interchange
JSONL to CSV - Convert JSON Lines to CSV

Frequently Asked Questions

How do I convert JSON to CSV?

Upload your JSON file
Select delimiter options if needed
Click "Run Conversion"
Download your CSV file

How are nested JSON objects handled?

Nested objects are flattened into columns using dot notation (e.g., address.city). Arrays within objects become separate rows or comma-joined values depending on the structure.

Is my data secure?

Yes. All uploads use encrypted HTTPS. Source files are deleted immediately after conversion, and results are removed within 24 hours.

Can I convert large JSON files?

Yes, the converter handles large files efficiently. For very large datasets or API integration, check our API documentation.

Convert JSON to CSV

More Converters

Why Convert JSON to CSV?

How the Conversion Works

Tabletable

Key / Valuekey_value

One row per elementelement_rows

Nested levelspath_levels

One row per recordNewtranspose

JSON Format Overview

Format Resources

CSV Format Details

Delimiter Options

Format Resources

Related Converters

Frequently Asked Questions

How do I convert JSON to CSV?

How are nested JSON objects handled?

Is my data secure?

Can I convert large JSON files?

Popular use cases

JSON & API Data to Spreadsheet

Why Convert JSON to CSV?

How the Conversion Works

Tabletable

Key / Valuekey_value

One row per elementelement_rows

Nested levelspath_levels

One row per recordNewtranspose

JSON Format Overview

Format Resources

CSV Format Details

Delimiter Options

Format Resources

Related Converters

Frequently Asked Questions

How do I convert JSON to CSV?

How are nested JSON objects handled?

Is my data secure?

Can I convert large JSON files?