JSON Viewer for Database JSON

About This Tool

Modern databases increasingly use JSON as a native data type — MongoDB stores documents as BSON (binary JSON), PostgreSQL supports JSONB columns, Elasticsearch returns JSON responses, and DynamoDB uses JSON-like item structures. This JSON Viewer for Database JSON is designed for database administrators and developers who need to process JSON data extracted from these database systems. Formatting query results, validating document structures, and inspecting nested data hierarchies are common operations when working with document databases and JSON columns. The tool handles the specific patterns found in database JSON: deeply nested documents, arrays of embedded objects, mixed type fields, and large result sets.

What is JSON Viewer?

A JSON viewer provides a detailed structural analysis of JSON data, displaying every path from root to leaf nodes with the corresponding value and data type. Unlike a simple formatter that only adds indentation, a viewer deconstructs the JSON into a flat path representation (like $.users[0].name) that makes it easy to identify specific values within deeply nested structures. This is invaluable for understanding complex API responses, navigating large configuration objects, and building queries or transformations that target specific data paths. The viewer shows object key counts, array lengths, value types (string, number, boolean, null), and the full dot-notation path to every element.

How to Use This Tool

1. Paste your JSON.
2. Click Inspect JSON.
3. Browse paths, values, and types.
4. Use paths to reference data in your code.

Common Use Cases

• Formatting MongoDB document exports
• Processing PostgreSQL JSONB column data
• Cleaning up Elasticsearch query results
• Working with CouchDB document responses

Examples

{"users":[{"name":"Alice","roles":["admin","editor"]},{"name":"Bob","roles":["viewer"]}]}

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