Choose Input Method
Select Option 1 to upload or drop a .json / .ndjson file, or select Option 2 to paste direct JSON text into the interactive editor.
Transform raw JSON text or uploaded JSON files into structured, publication-quality CSV spreadsheets in milliseconds. Features nested key flattening, interactive table grid preview, RFC 4180 escaping, and 100% private in-browser processing.
Transform JSON, NDJSON, or JSONL into structured, publication-quality CSV spreadsheets in milliseconds.
Supported: .json, .ndjson, .jsonl, .txt (Up to 30 MB)user.address.city) into clean columns.Pro Tip: You can choose between Comma (,), Semicolon (; for European Excel), Tab (TSV), or Pipe (|) delimiters depending on where you plan to import your data.
Convert structured JSON trees into spreadsheet tables with full data fidelity.
Select Option 1 to upload or drop a .json / .ndjson file, or select Option 2 to paste direct JSON text into the interactive editor.
Configure your preferred delimiter (comma, semicolon, tab, pipe), toggle nested object flattening (e.g. user.address.city), and enable Excel UTF-8 BOM.
Inspect your formatted data in the interactive grid table, copy the generated CSV directly to your clipboard, or download the ready-to-use .csv file.
Everything you need for seamless JSON data extraction and spreadsheet reporting.
Drag and drop .json or .ndjson files up to 30 MB directly from your computer, or paste live payload text into the code editor with syntax formatting tools.
Inspect your converted data with instant search filtering across all columns, row numbers, and paginated navigation before downloading.
Copy the raw CSV output to your clipboard for quick pasting into code or databases, or download a dedicated .csv file ready for spreadsheets.
.csv fileHandles line-delimited JSON log streams as well as standard REST API wrappers like { "data": [...] } and { "items": [...] } automatically.
a.b.c dot notationProperly escapes double quotes, line breaks, commas, and special characters inside cells so spreadsheet parsers never break.
Zero telemetry, zero server-side logging, and zero external network requests. Your proprietary customer and financial records remain completely confidential.
Developers, analysts, accountants, and e-commerce managers convert structured data with zero setup.
Export JSON logs, microservice payloads, and webhook events into clean CSV tables for debugging, reporting, and team retrospectives.
Flatten complex nested customer records and nested MongoDB collections directly into Excel-ready tables without writing custom Python scripts.
Import Stripe, Shopify, or billing JSON exports with customized UTF-8 BOM encoding for seamless analysis in Microsoft Excel and Google Sheets.
Convert product catalogs, inventory manifests, and order dumps into standard CSV formats compatible with ERP systems and marketplace uploaders.
Unlike third-party converters that harvest or store your JSON payloads on cloud servers, We Make PDF runs pure client-side JavaScript. Your confidential database records, API tokens, and user lists remain safe on your device.
Everything you need to know about converting JSON records into CSV format.
Conversion happens virtually instantaneously in under 5 to 20 milliseconds directly inside your web browser. Because no files are uploaded over the network, thousands of rows are converted and previewed with zero lag.
When "Flatten Nested Keys" is enabled, nested objects are automatically unpacked into clean column headers using dot notation. For example, { "customer": { "name": "Sarah", "city": "London" } } becomes two columns: customer.name and customer.city.
Yes! The tool automatically detects whether your input is a standard JSON array, an object with a data wrapper (such as { data: [...] }), or line-delimited JSON (NDJSON/JSONL) where each line represents an independent record.
The Byte Order Mark (\uFEFF) instructs Microsoft Excel on Windows and macOS to open the CSV using UTF-8 text encoding. This ensures international names, accents, Hindi characters, currency symbols, and emojis display clearly without turning into gibberish.
No. 100% of the parsing, flattening, and CSV generation executes client-side inside your browser sandbox. Your proprietary database dumps, customer emails, and sensitive logs never leave your device.
Yes! The generated CSV follows the official RFC 4180 specification with standard quotation escaping. You can open it directly in Microsoft Excel, Google Sheets, Apple Numbers, LibreOffice Calc, or import it into SQL databases.
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