JSON to CSV Converter
Convert JSON data to CSV format with multiple input options. Paste JSON data, load from URL, or upload a file to convert to CSV.
Input JSON Data
Conversion Results
Enter JSON data to convert
About JSON to CSV Converter
A powerful JSON to CSV converter that flattens structured JSON data into tabular comma-separated values format. This tool handles nested objects, arrays, and complex JSON structures while preserving data relationships in a flat, spreadsheet-compatible format.
Why use a JSON to CSV Converter?
CSV format is universally supported by spreadsheet applications, databases, and data analysis tools. Converting JSON to CSV enables easy data import into Excel, Google Sheets, or statistical software while making API data accessible to non-technical users who prefer tabular formats.
Who is it for?
Essential for data analysts, business users, and developers who need to import API data into spreadsheets or databases. Perfect for converting complex JSON responses from REST APIs into formats suitable for data analysis, reporting, or legacy system integration.
How to use the tool
Input your JSON data through file upload, direct pasting, or URL import
Configure flattening options for handling nested objects and arrays
Select which JSON fields to include or exclude from the CSV output
Preview the flattened data structure to ensure proper column mapping
Download the CSV file or copy the data for use in spreadsheet applications
Frequently Asked Questions
How do I convert JSON to CSV online?
Paste JSON text, upload a .json file, or load from a URL. The converter expects a JSON array of objects (the most common API response shape); each object becomes one row, each key becomes a column header. The output is RFC 4180-compliant CSV: commas separate fields, quotes wrap fields containing commas/newlines/quotes, the first row carries headers. Copy or download as .csv. Conversion runs entirely in your browser — your data never leaves the device. Open the result directly in Excel, Google Sheets, or any CSV-aware tool.
Does converting JSON to CSV preserve the data structure?
Lossy in one direction: nested objects and arrays must be flattened. The converter handles this two ways depending on your preference. Dot-notation flattening: {user: {name: 'Joe'}} → column 'user.name'. JSON-stringified cells: {user: {...}} → column 'user' with the cell value as the literal JSON string. Choose dot-notation when you want columns per nested field (typical for tabular reports), JSON-stringified when you want to round-trip back to JSON later. Type info is partially lost too: numbers stay as numbers in cell text, but the destination spreadsheet decides how to interpret them.
Can I upload a JSON file or load it from a URL?
Yes — all three input methods: paste JSON text, upload a local .json file, or fetch from a public URL. URL fetching requires the source to send CORS headers permitting cross-origin requests; private endpoints work only if reachable from your browser. Files up to several MB convert quickly. The JSON input must be valid (parseable) — if you're not sure, validate with the [JSON Validator](/tools/json-validator/) first.
Is my JSON data sent to a server when I convert?
No. Conversion runs entirely in your browser via JavaScript — your JSON data never leaves your device, never reaches a server, never gets logged. Verify in DevTools' Network tab: clicking convert produces zero HTTP requests. The exception is URL loading, where your browser fetches the source from the URL you provided (the URL host sees that request, but no Toolsana server is involved). Safe for sensitive customer data, financial records, or API responses you don't want logged.
How are nested arrays and objects flattened?
Two options. Dot-notation flattening: {user: {name: 'Joe', address: {city: 'NYC'}}} becomes columns 'user.name' and 'user.address.city'. Arrays get indexed: {tags: ['a', 'b']} becomes 'tags.0' and 'tags.1' (or a single comma-separated cell, depending on settings). JSON-stringified: nested values stay as JSON strings inside one cell — useful for round-tripping. Choose dot-notation when consumers will read each field; choose JSON-stringified when you'll later parse the cells back to JSON. Arrays of mixed lengths produce sparse CSV (empty cells where rows have fewer items).
Exporting API response data to Excel or Google Sheets?
The canonical use case. Workflow: copy an API response from Postman, browser DevTools, or curl output; paste into this converter; download the CSV; open in Excel/Sheets. The CSV is RFC 4180-compliant, so it imports cleanly. For repeated workflows (a daily report), automate via a script (Python with pandas.read_json + .to_csv, Node with json2csv). For ad-hoc inspection of a single API response, the manual tool is faster. For the reverse direction (spreadsheet → JSON for API import), use [CSV to JSON](/tools/csv-to-json/).
How much data can I convert at once?
Browser memory is the limit. Up to ~10 MB JSON / 100k objects converts in under a second. The CSV output is typically smaller than JSON (no key repetition, no braces) — often half the size. Past 50 MB input, the browser may slow or run out of memory. For very large API exports, use a streaming converter (Node's csv-stringify with readable streams, Python pandas with chunked reads). This tool fits the common API-response case where you have a few KB to a few MB to inspect or share.
Why convert JSON to CSV instead of using JSON directly?
Audience. JSON is for code; CSV is for humans with spreadsheets. When the downstream consumer is a business stakeholder, analyst, or non-technical user, CSV opens in Excel/Sheets without any code. Pivot tables, sorting, filtering, charts — all the spreadsheet primitives work on CSV. The trade-off is nested structure flattens out (loses some information). For data destined for a JavaScript app or another API, keep it as JSON. For data destined for a human, convert to CSV — even if it means designing a flat shape ahead of time.
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