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Convert JSON data to CSV format with automatic header detection, nested object flattening, array handling, custom delimiter options, and validation for spreadsheet import, data analysis, and CSV-based data exchange.
Note: AI can make mistakes, so please double-check it.
CSV output will appear here
Common questions about this tool
Paste your JSON data (array of objects) into the converter and it automatically extracts keys as column headers and values as rows. The tool handles nested objects by flattening them or using dot notation for column names.
Nested objects are flattened using dot notation (e.g., 'user.name' becomes a column header). Arrays can be converted to comma-separated values within a cell or expanded into multiple rows depending on the conversion options.
Yes, JSON arrays of objects are converted to CSV rows where each object becomes a row and object keys become column headers. This is the most common use case for JSON to CSV conversion.
Use the CSV to JSON Converter tool to convert CSV data back to JSON format. It creates JSON objects from CSV rows, using the header row as property names and data rows as object values.
Arrays of flat objects convert most cleanly to CSV. Each object should have the same keys, and nested structures are flattened. Complex nested arrays may require multiple CSV files or custom handling.
Verified content & sources
This tool's content and its supporting explanations have been created and reviewed by subject-matter experts. Calculations and logic are based on established research sources.
Scope: interactive tool, explanatory content, and related articles.
ToolGrid — Product & Engineering
Leads product strategy, technical architecture, and implementation of the core platform that powers ToolGrid calculators.
ToolGrid — Research & Content
Conducts research, designs calculation methodologies, and produces explanatory content to ensure accurate, practical, and trustworthy tool outputs.
Based on 1 research source:
Learn what this tool does, when to use it, and how it fits into your workflow.
This tool turns JSON into CSV. You paste or upload JSON and get a CSV table back.
JSON is common in APIs and configs. CSV is common in spreadsheets and data exchange. Moving data from JSON to CSV by hand is slow and easy to get wrong. This tool does the conversion for you so you get correct CSV without writing code.
It is for developers, analysts, and anyone who needs to open JSON in a spreadsheet or feed it into a CSV-based system. You can use it with basic knowledge of JSON and CSV.
JSON uses braces and brackets. CSV uses commas and newlines. JSON can be nested; CSV is flat rows and columns. A related operation involves converting CSV to JSON as part of a similar workflow.
JSON is common in web APIs and configs. CSV is common in Excel, Google Sheets, and data imports. When one system sends JSON and you need a table, you must flatten the structure and choose how to represent nested keys and arrays.
Converting by hand is tedious. You must collect all keys, flatten nested objects, decide how to write arrays in a cell, and escape commas and quotes. This tool applies clear rules: you give an object or array of objects; the tool flattens each object with a chosen delimiter for nested keys, turns arrays into cell values, and builds CSV with headers and quoted fields.
Spreadsheet import. An API returns JSON and you want to open it in Excel or Google Sheets. Paste the JSON, pick a delimiter for nested keys, and download the CSV. Open the file in your spreadsheet. For adjacent tasks, converting CSV to XML addresses a complementary step.
Data analysis. You have JSON logs or export data and want to filter or sort in a table. Convert to CSV and use spreadsheet or analysis tools.
Data exchange. Moving data from a JSON-based app into a system that expects CSV. Convert once or repeatedly as data changes.
Reporting. Turning API or config data into a simple table for reports or sharing. When working with related formats, converting SQL to JSON can be a useful part of the process.
Learning. Seeing how nested JSON becomes flat columns helps understand both formats.
The tool does not do numeric calculations. It transforms structure and text.
The input string is parsed as JSON. If parsing fails or the value is not an object or array, you get an error. If it is an array, each item is treated as a row; if it is a single object, it is wrapped in an array of one row. The number of rows is limited; excess rows are dropped. For each row object, nested objects are flattened: each key path is joined with the chosen delimiter (e.g. "address" and "city" become "address.city"). Arrays in a field are not expanded: empty arrays become an empty cell, small arrays of primitives are joined with semicolons, and other arrays are written as JSON text. Circular references are detected and written as a placeholder. All unique keys from all rows are collected and sorted to form the CSV header. Each row is then written as a line: each value is converted to a string, quotes inside are doubled, and the value is wrapped in quotes; values are joined with commas. The first line is the header; following lines are data. Output length is limited; if the result would be too large, you get an error and are asked to reduce input size. In some workflows, converting JSON to YAML is a relevant follow-up operation.
Valid JSON. The input must be valid JSON. Check commas, quotes, and brackets. Use a JSON validator if you are unsure.
Structure. The tool works best with an array of objects with similar keys. A single object becomes one row. Nested objects are flattened with the delimiter you choose.
Delimiter. The delimiter setting only affects nested key names in headers (e.g. address.city vs address_city). The CSV field separator is always a comma. Pick a delimiter that does not appear in your key names. For related processing needs, converting YAML to JSON handles a complementary task.
Arrays. Arrays are not turned into multiple rows. They are written in one cell (semicolon-separated for small primitive arrays, or as JSON text). If you need one row per array item, preprocess your JSON so each item is its own object in the array.
Size limits. Input and output have maximum sizes. Row count is also limited. Very large JSON or CSV may be rejected or truncated. Split data or process in chunks if needed.
Preview. The table shows the first 100 rows and 20 columns. The downloaded CSV contains all rows and all columns. Use download when you need the full result.
Privacy. Do not paste sensitive or secret data if you use AI header suggestions; that data may be sent for analysis.
We’ll add articles and guides here soon. Check back for tips and best practices.
Summary: Convert JSON data to CSV format with automatic header detection, nested object flattening, array handling, custom delimiter options, and validation for spreadsheet import, data analysis, and CSV-based data exchange.