JSON to CSV

JSON to CSV converts a JSON array of flat objects into a spreadsheet-compatible CSV file. Each object in the array becomes one row; keys from the first objects become column headers. Developers use this to inspect API responses, export MongoDB query results, or prepare data for Excel without writing a Python script.

Conversion runs entirely in your browser — API responses containing customer or health data never upload to a server. The output is standard comma-separated UTF-8 text.

Input: .json file whose root is an array of objects, e.g. [{"name":"Alice","age":30},{"name":"Bob","age":25}]. Nested objects and arrays inside values are JSON-stringified or flattened inconsistently — flat structures work best.

Output: .csv with a header row and one data row per array element.

Step 1: Validate your JSON in a linter or editor — it must be an array at the root, not a single object or nested tree.

Step 2: Upload the .json file.

Step 3: Click Convert.

Step 4: Download the CSV and open in Excel or Google Sheets to verify columns.

Step 5: If columns look wrong, flatten nested JSON manually before converting.

Root must be an array of objects. A single JSON object {}, or arrays of primitives [1,2,3], will error. Deeply nested structures lose information when stringified into one cell.

Very large JSON files (tens of MB) may exceed browser memory on mobile. Unicode and special characters in values are CSV-escaped correctly. No support for JSON Lines (.jsonl) format.

API debugging: flatten JSON responses for spreadsheet review.

Analytics: import JSON event logs into Excel.

Handoff: give non-developers CSV from JSON exports.

Document Converter never uploads your file for conversion. Processing uses JavaScript in your browser tab — the same security boundary as editing a document offline. Closing the tab clears the in-memory copy unless you saved the output.

We may load analytics or ads when you visit the site, but those requests do not include your document bytes. For HR records, medical forms, or unreleased designs, local conversion avoids the third-party upload step that cloud converters require.

Cloud tools like Smallpdf and iLovePDF receive your file via HTTP upload, process it on their servers, and return a download link. That model is convenient for public PDFs but adds privacy and compliance risk for sensitive content.

Document Converter runs pdf-lib, PDF.js, Mammoth, SheetJS, or Tesseract.js directly in your browser. Open DevTools → Network while converting: you should see no POST containing your file. You trade server-side CPU for device-side privacy — often the right choice for personal and workplace documents.