DevToolKit

JSON to CSV Converter

Convert JSON files to CSV or Excel formats instantly. Supports massive files via streaming, deep flattening, custom delimiters, and column filtering. 100% private.

Conversion Utility

Data Denormalizer

Source Data

json

Drop files here or click to browse

Files are processed entirely in your browser

Format Settings

Flatten Nested Data

Instant Preview

100% Client-Side

Load a JSON file to see the preview
Processed locally
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How to Use

The JSON to CSV Converter is a high-performance utility for transforming complex JSON data into clean, tabular CSV formats.

How to use this tool

  1. Load File: Drag and drop your .json file into the dropzone or click to select a file from your computer.
  2. Flatten Options: If your JSON contains nested objects, enable Flatten Nested Data to convert them into dot-notation columns (e.g., user.address.city).
  3. Customize Delimiter: Choose between comma, semicolon, or tab delimiters to match your regional spreadsheet requirements.
  4. Filter Columns: Once the data is loaded, use the Column Filter sidebar to select exactly which fields you want to include in the output.
  5. Preview & Download: Verify the transformation in the Instant Preview grid and click Download CSV to save the final file.

About This Tool

Modern Data Transformation

JSON is the standard for web APIs, but CSV remains king for data analysis in tools like Excel, Google Sheets, and SQL databases. Converting between the two often requires complex scripts or expensive software.

Our converter handles the heavy lifting of schema inference and deep flattening, ensuring that even the most complex nested objects are represented correctly in a flat table. The integrated filtering system allows you to prune large datasets before export.

Why Use This Tool

Privacy at Scale

Most online converters upload your datasets to their servers, exposing sensitive business data or PII. DevToolKit's converter runs **100% locally** using your browser's processing power. Your files never leave your device, making it safe for processing proprietary datasets of any size.

FAQ

How does it handle nested JSON objects?
Nested objects are flattened using dot notation. For example, {"user": {"name": "Ana"}} produces a user.name column with the value Ana. The flattening depth is configurable.
Does it support large JSON files?
Yes. The tool uses streaming processing to handle multi-megabyte JSON files without exhausting browser memory.
Can I select which columns to export?
Yes. After parsing the JSON, you can filter and select only the columns you need in the output CSV.
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