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JSON Viewer
Explore JSON data with collapsible tree view, table view, and formatted text
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View
Paste JSON and click View
Type
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Keys
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Depth
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What Is a JSON Viewer?
A JSON viewer is a tool that transforms raw JSON text into a visually structured and interactive format, making it easier to explore, navigate, and understand complex JSON data. Raw JSON strings can be difficult to read, especially when dealing with deeply nested objects, large arrays, or minified output. This viewer provides three distinct viewing modes: a collapsible tree view that lets you expand and collapse nodes, a table view that flattens objects into rows and columns, and a formatted text view with syntax highlighting and indentation.
JSON viewers are essential for developers working with REST APIs, configuration files, database exports, and data interchange formats. They help quickly locate specific values, understand data structure hierarchies, verify API responses, and debug serialization issues. With features like path copying, size estimation, and summary statistics (type, keys, depth, byte size), this tool turns unreadable JSON into actionable insights.
How to Use This Viewer
- Paste your JSON — Enter any valid JSON data (object, array, or primitive) into the input area. You can also click an example button to load sample data.
- Click View — Press the "View" button to parse and render your JSON in the output panel.
- Switch view modes — Use the dropdown to toggle between Tree View (collapsible hierarchy), Table View (flat row/column layout), and Formatted Text (syntax-highlighted with indentation).
- Explore the data — In Tree View, click arrows to expand or collapse nested objects and arrays. In any view, copy the visible content using the Copy button.
- Check summary stats — Review the summary section for data type, key count, nesting depth, and byte size at a glance.
Frequently Asked Questions
What is the difference between Tree View and Table View?
Tree View shows the full JSON hierarchy with collapsible nodes, ideal for exploring deeply nested structures. Table View flattens the data, showing arrays of objects as rows with property names as columns — useful for comparing multiple records side by side.
Can I copy a specific path from the JSON?
In Tree View, you can right-click or double-click on a node key to copy its JSON path (e.g., users[0].address.city). This is helpful for writing code that accesses specific JSON values.
Is my data sent to a server?
No. All JSON parsing and rendering occurs entirely in your browser. Your data never leaves your device.
What file formats does this viewer support?
This tool accepts valid JSON text input. If your data is in YAML format, convert it to JSON using the JSON to YAML tool first, or use the YAML Formatter directly.
Why does my JSON show as invalid?
Common issues include trailing commas, unquoted keys, single quotes instead of double quotes, and missing braces. Use a JSON Validator tool to identify the specific syntax error in your JSON data.
Last updated: 9 Jul 2026
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