Convert JSON arrays and objects into clean CSV spreadsheets.
Flatten complex nested structures, handle null values gracefully, and export RFC 4180 compliant CSV ready for Excel, Google Sheets, and SQL databases.
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JSONGlow's JSON to CSV converter is a free, 100% in-browser utility that flattens nested JSON hierarchies and exports RFC 4180 compliant CSV files with zero cloud uploads.
Overview
Bridging the gap between hierarchical JSON and tabular spreadsheets
Modern web APIs and document databases store data in multi-tiered, hierarchical JSON structures. However, business stakeholders, data analysts, and relational databases require flat 2D rows and columns for spreadsheet analysis in Microsoft Excel, Google Sheets, or data warehouses like BigQuery and Snowflake.
Converting JSON to CSV requires intelligent unnesting of object trees, converting child keys into clean dot-notation column headers (e.g. `user.profile.email`), and collecting the union of all unique keys across heterogeneous records. When you need to do the reverse, try our CSV to JSON Converter or format raw payloads with the JSON Formatter.
JSONGlow adheres strictly to RFC 4180 specifications, ensuring that commas, quotes, and newlines inside data fields are properly escaped with double quotes so spreadsheet software imports every row cleanly without column shifting.
Unlike online converters that send your customer databases and private records to external web servers, JSONGlow processes all data 100% locally in your browser memory sandbox. Your data never leaves your computer. Learn more about the mechanics in our dedicated guide on How to Flatten Nested JSON or generate TypeScript definitions with JSON to TypeScript.
Workflow Guide
How to use JSON to CSV Converter Online | JSONGlow
Input JSON array or object
Paste your JSON data into the left editor panel. Arrays of objects or single objects are supported.
Inspect flattened table headers
Nested properties are automatically converted to dot-notation columns and aligned across rows.
One-click spreadsheet export
Click 'Download .csv' to save the file or copy the raw CSV table directly to your clipboard.
Practical Demonstration
JSON to CSV Data Transformation
See how nested JSON arrays become clean spreadsheet columns and rows.
[
{
"id": 101,
"user": { "name": "Alice", "role": "admin" },
"active": true
},
{
"id": 102,
"user": { "name": "Bob", "role": "editor" },
"active": false
}
]id,user.name,user.role,active
101,Alice,admin,true
102,Bob,editor,falseTroubleshooting & Edge Cases
Common syntax errors & how to avoid them
Ragged columns from missing object properties
Why it happens: When objects in an array have different keys, some converters misalign columns.
Unescaped commas breaking spreadsheet columns
Why it happens: Commas inside string values (like addresses) cause Excel to split data into extra columns.
Core Capabilities
Engineered for speed & precision
Recursive Dot-Notation Flattening
Unnests deep object hierarchies into clean column headers without data loss.
RFC 4180 Compliant
Escapes inner commas, quotation marks, and line breaks for seamless Excel and Sheets import.
100% In-Browser Privacy
Zero server uploads. Your proprietary spreadsheets and customer records remain strictly local.
Instant .csv Download
Download exported CSV files ready to open directly in Excel or upload to SQL databases.
Frequently Asked Questions
Common questions answered.
Need more help? Our tools execute entirely in your browser without transmitting any payload to remote servers.
How does this tool handle nested JSON objects?+
Nested objects are recursively unnested into dot-notation column names (e.g., user.address.city). This preserves hierarchical context while fitting into a 2D table.
Does JSONGlow upload my CSV or JSON data to any server?+
No. All conversion operations run 100% locally in your web browser sandbox using modern JavaScript Web APIs.
Can I convert single JSON objects as well as arrays?+
Yes. Single JSON objects are treated as a single-row table, while JSON arrays create multi-row spreadsheets.
How are null and missing values represented in CSV?+
Null or missing fields are emitted as empty cells between commas, conforming to standard CSV specifications.
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