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JSON to CSV Converter

Convert JSON arrays and objects to CSV format instantly. Flatten nested objects with dot notation, customize delimiters, and download — all in your browser.

⚡ Instant Conversion 🔒 100% Client-Side 📁 No Upload Required
📥 JSON Input
⚙️ Conversion Options
📤 CSV Output
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Smart Flattening

Nested JSON objects are automatically flattened using dot notation. For example, {"address": {"city": "NYC"}} becomes the column address.city. Works for deeply nested structures of any depth, making complex API responses easy to work with in spreadsheets.

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Flexible Delimiters

Choose from comma, semicolon, tab, or pipe delimiters to match your workflow. Need CSV for Excel in European locales? Use semicolons. Importing into a database? Tabs or pipes avoid conflicts with data content. All formats are properly escaped.

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100% Private & Secure

All processing happens in your browser — no data is ever sent to a server. Your JSON stays on your machine, making this tool safe for sensitive API responses, database exports, and proprietary data. Works offline once loaded.

Frequently Asked Questions

Paste your JSON data into the input area or upload a .json file, select your preferred delimiter and options, then click Convert. The tool parses your JSON array of objects, extracts all keys as column headers, and outputs a properly formatted CSV that you can copy or download instantly.

Yes! Enable the "Flatten nested objects" option and the converter will recursively flatten nested objects using dot notation. For example, an object like {"address": {"city": "NYC"}} becomes a column named "address.city" with the value "NYC". This works for deeply nested structures of any depth.

The converter works best with JSON arrays of objects (the most common API response format). It also handles a single JSON object by converting it to a one-row CSV. Nested objects can be flattened with dot notation, and arrays within values are serialized as strings.

Absolutely. All conversion happens entirely in your browser using JavaScript. Your JSON data is never uploaded to any server or transmitted over the internet. The tool works completely offline once loaded, making it safe for sensitive or proprietary data.

JSON to CSV Conversion Use Cases

📊 API Response to Spreadsheet

Convert REST API JSON responses into CSV for analysis in Excel, Google Sheets, or LibreOffice Calc. Ideal for data analysts who need to create reports, dashboards, or visualizations from API data without writing code.

🗄️ Database Export Processing

Transform MongoDB, CouchDB, or any NoSQL database exports from JSON to CSV for migration, backups, or import into relational databases. Flatten nested document structures into clean, tabular data with dot notation column names.

📈 Data Analysis & Visualization

Prepare JSON data for analysis tools that require CSV input. Perfect for loading data into pandas, R, Tableau, or Power BI. Convert complex nested JSON structures into flat tables ready for statistical analysis and charting.

👥 Team Collaboration

Share data with non-technical team members who prefer spreadsheet formats. Convert JSON config files, user data exports, or analytics reports to CSV that anyone can open and understand without developer tools.

Understanding JSON to CSV Conversion

JSON (JavaScript Object Notation) is the standard data format for APIs, web applications, and NoSQL databases. While JSON excels at representing hierarchical and nested data, many business tools, reporting platforms, and data analysis workflows require flat, tabular CSV (Comma-Separated Values) format. Our converter bridges this gap by intelligently transforming JSON structures into clean, properly formatted CSV files.

How the Conversion Works

  • Array of Objects: Each object becomes a row; all unique keys become column headers
  • Nested Objects: Flattened with dot notation (e.g., user.address.city)
  • Missing Keys: Filled with empty values to maintain consistent columns
  • Special Characters: Values containing delimiters or quotes are properly escaped

Why Use Our JSON to CSV Converter?

  • ✅ Smart Flattening: Recursively flattens nested objects with dot notation paths
  • ✅ Multiple Delimiters: Comma, semicolon, tab, or pipe — works for any workflow
  • ✅ Proper Escaping: Handles quotes, commas, and newlines in values correctly
  • ✅ Instant Download: One-click CSV file download with proper headers
  • ✅ No Upload: All processing in your browser — 100% private
  • ✅ Large Datasets: Handles thousands of records efficiently
Copied!

From API Response to Spreadsheet in Seconds

JSON is how systems talk to each other; spreadsheets are how people actually analyze data. This converter bridges the two: paste an array of JSON objects and each object becomes a row, each key becomes a column header, and the result opens directly in Excel or Google Sheets. The interesting work happens with nested data — an object like {"user": {"name": "Ana", "city": "Lima"}} flattens into columns user.name and user.city, because CSV's flat grid has no other way to represent hierarchy. Arrays inside objects either join into a single delimited cell or expand into numbered columns, depending on what downstream analysis needs.

Objects with different keys are normal in real API data; the converter takes the union of all keys as columns and leaves missing values blank. If Excel greets your file with mangled accents, the culprit is encoding — import as UTF-8, or look for our BOM option. The full set of pitfalls (dates, leading zeros, huge numbers Excel silently rounds) is covered in the JSON to CSV conversion guide, and the reverse direction lives at CSV to JSON.

Frequently Asked Questions

My JSON is one big object, not an array — can it convert?

CSV needs repeated records. Find the array inside your payload — commonly under a key like data, items, or results — and convert that. A lone object converts to a single-row CSV, which is rarely what you want.

Why are my numbers wrong in Excel?

Excel auto-interprets: it strips leading zeros from ZIP codes and phone numbers, rounds integers beyond 15 digits (goodbye, ID fields), and converts things like 3-5 into dates. Use Excel's import wizard and mark those columns as Text — the CSV itself is correct.

How are commas and quotes inside values handled?

Per the CSV standard (RFC 4180): values containing commas, quotes, or newlines get wrapped in double quotes, and embedded quotes are doubled. Spreadsheet apps read this correctly without any action from you.

Is my data private?

Yes — conversion runs locally in your browser, making it safe for customer exports and internal API data.

What's the size limit?

Hundreds of thousands of records convert comfortably; memory is the only ceiling. Note that Excel itself caps at 1,048,576 rows — beyond that, analyze in a database or Python instead.