JSON Formatter to Table

Transforms JSON data into a readable table, helping developers and analysts quickly inspect structure, values, and relationships without manual parsing.

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1,812+
Total Calculations Run
< 15ms
Browser Execution Speed
100%
Client-Side Privacy
4.9 / 5.0
User Satisfaction

Worked Example & Common Values

Below is a sample worked calculation demonstrating how JSON Formatter to Table processes input data instantly inside your browser.

Sample Input Minified string: {"id":1,"status":"active","roles":["admin"]}
Computed Result { "id": 1, "status": "active", "roles": [ "admin" ] }
Execution Mode Client-Side In-Browser JS
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About This Tool

The tool parses JSON input and produces a tabular representation. It flattens nested objects using dot notation for columns and normalizes rows from top-level arrays. By default, arrays are joined as comma-separated strings; advanced options enable exploding arrays into multiple rows or selecting a depth limit. The resulting table enables quick inspection of keys, values, and relationships, and serves as a bridge to CSV or HTML table exports. Users benefit from consistent column ordering, deterministic results, and the ability to validate API payloads, transform data for spreadsheets, or prepare logs for reporting. The core value comes from converting hierarchical JSON into a uniform 2D structure without manual scripting, reducing iteration time in data integration tasks. Common use cases include API testing, data migration prep, and schema exploration for complex JSON payloads. Unique differentiators include client-side processing, depth control, and stable column generation that preserves original paths for traceability. Example: input [{"id":1,"name":"Alice","address":{"city":"New York"},"tags":["admin","user"]}] yields columns: id, name, address.city, tags; and a single row with corresponding values. This tool supports outputs suitable for further processing in spreadsheets or as HTML snippets for reports.

How to Use

  1. Paste or upload JSON input
  2. Configure optional depth and array handling settings
  3. Run to generate the tabular view
  4. Review the resulting table and adjust column order if needed
  5. Export as CSV or HTML table for downstream use
How to use json formatter to table online

Frequently Asked Questions

Find Quick Answers

What JSON formats are supported?
Supports valid JSON objects and arrays at the top level. Nested objects are flattened using dot notation to create columns; arrays are represented as strings by default or expanded via advanced options.
How are nested structures flattened?
Nested keys are joined with dots to form column headers (e.g., address.city). Depth limits may prune deeper nesting to control column count.
Can I export the result?
Yes. Exports include CSV and HTML table formats. The export preserves the flattened structure and column order for downstream analysis.
How are arrays handled?
Arrays default to comma-separated string values. With advanced settings, arrays can be exploded into multiple rows to match each element when needed.

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