JSON to Table Converter Online — Free Visual JSON Table

JSON is the lingua franca of modern APIs, but it's not built for human eyes. Once you have more than three or four records, raw JSON becomes a wall of text. A table inverts that — fields line up vertically, values align horizontally, and outliers jump out at a glance.

How to convert JSON to a table — 4 steps

1. Paste JSON. Drop your array of objects into the input — copied from Postman, an API response, a database export, or click Load Sample.
2. Read the table. Columns are auto-detected from object keys; nested objects collapse to a badge so the layout stays clean.
3. Sort and filter. Click any header to sort by that column. The filter box does a substring match across every cell.
4. Copy or maximise. Use Copy as TSV to paste into Excel, or click Maximize to view the table full-screen.

Sample input and output

[
  { "id": 1, "name": "Alice", "role": "Engineer", "salary": 120000 },
  { "id": 2, "name": "Bob",   "role": "Designer", "salary": 95000 }
]

renders to a 2-row table with columns id, name, role, salary. Sortable by clicking any header, filterable by typing in the search box.

Common use cases

• check_circleInspecting REST API responses while debugging integrations in Postman or curl
• check_circleExploring NoSQL exports from MongoDB, DynamoDB, or Firebase as a quick grid
• check_circleReviewing Algolia, Elasticsearch, or Meilisearch hit arrays before indexing
• check_circlePasting GitHub API issue lists, GraphQL results, or Stripe customer arrays
• check_circleAuditing log files exported as JSON Lines (after wrapping in []) for anomalies
• check_circleSharing tabular data with non-engineers who prefer Excel over JSON
• check_circleComparing two API versions side-by-side — paste, sort, copy, paste again
• check_circleQuickly counting rows by filter, e.g. how many users have role=admin

How the conversion works

The tool runs JSON.parse on your input. If the result is an array, it iterates the elements collecting the union of keys across all objects — preserving first-seen order — and uses that as the column header. Each object becomes a row. Nested objects and arrays are rendered as a compact [Object] or [Array(n)] badge so the table stays scannable. Sorting uses String#localeCompare with { numeric: true } for natural number ordering, and filtering does a case-insensitive substring match across every value (stringified, so nested structures still match by content).