JSON to CSV
Flatten and convert JSON arrays into CSV format. Perfect for importing data into Excel or Google Sheets.
Waiting for input...Tool Settings
Nested objects are automatically flattened using dot-notation (e.g., "user.address.city"). This ensures your spreadsheet has a consistent column structure.
All processing happens locally in your browser. Large files are handled in memory and never uploaded to any server.
Professional JSON to CSV for Everyone
Transform your structured JSON data into a flat CSV format ready for spreadsheet analysis. Our converter intelligently flattens nested objects using dot-notation (e.g., 'user.name') and handles arrays of objects by creating a consistent header row based on all available keys in the dataset.
Key Benefits
Why choose our JSON to CSV for your workflow?
Developer-Grade Integrity: Format, parse, or generate code blocks without risking leaks of API keys, proprietary JSON structures, or secure databases.
Instant Client-Side Compile: Get immediate syntax checking or conversion. Perfect for quick debugging loops during developer sprints.
No-Server Security Sandbox: 100% secure hashing and coding that runs locally, keeping keys and credentials off cloud logging servers.
Common Use Cases
Real-world examples of how to use this tool.
API Integration: Format, escape, or minify raw JSON payloads to verify schema correctness before sending requests.
Secret Token Creation: Generate cryptographically secure passwords or hash keys for local authentication config.
Vector Drawing: Create, inspect, and scale SVG files dynamically, converting paths into clean React JSX components.
How to use JSON to CSV?
Follow these simple steps to get the best results.
Paste an array of JSON objects into the converter.
Configure flattening options (e.g., depth, separators).
Preview the CSV table to ensure columns are correct.
Download the .csv file for use in your spreadsheet software.
Frequently Asked Questions
Common questions about our JSON to CSV tool.
How are nested objects handled?
Nested objects are flattened by default. For example, { 'person': { 'name': 'John' } } becomes a column named 'person.name'.
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