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JSON to Table Viewer — Sortable, Searchable JSON Viewer
About this tool
Free Online JSON Table Viewer
JSON Table Viewer is a free browser-based tool that converts JSON arrays of objects into interactive, sortable, searchable, and paginated data tables — making it far easier to scan, analyze, and extract insights from structured JSON data than reading raw text. JSON is the de facto data interchange format used by virtually every REST API, GraphQL response, configuration file, log export, and database query result, but raw JSON is difficult to read when the array contains hundreds of records with many fields. This tool solves that by rendering each object in the array as a table row with columns derived automatically from the union of all object keys found across the entire array. The table supports ascending and descending sort on any column, full-text search across all visible columns simultaneously, individual column visibility toggling, configurable pagination for large datasets, and one-click CSV export of the current filtered and sorted view. All processing is fully client-side — no data is transmitted to any server, making it safe to use with sensitive API responses, private configuration data, or internal database exports.
Features
- Auto-derives columns from the union of all keys across the input JSON array
- Click column headers to sort ascending or descending — click again to clear
- Real-time full-text search across all visible columns simultaneously
- Column visibility toggle — show or hide any field independently
- Pagination — 10, 25, 50, 100 rows per page with navigation controls
- CSV export of the current filtered, sorted, and column-restricted view
- Handles sparse arrays where objects have different sets of keys
- Live JSON syntax validation with inline error messages for invalid input
- 100% client-side — no data sent to any server, safe for sensitive data
- Free — no sign-up, no rate limits, runs entirely in your browser
How to Use
Paste your JSON data into the input area at the top of the tool — the input expects a JSON array of objects where each object is a record and each key is a field. If your data is wrapped in a parent object (e.g. {"data": [...]}) paste just the inner array value. Click the View Table button or press Ctrl+Enter to parse and render the table. The tool automatically derives the column set from every unique key found across all objects in the array, so inconsistent or sparse data — where not every object has every key — is handled gracefully with empty cells for missing values. Click any column header once to sort the entire table ascending by that column; click the same header again to reverse to descending. Type in the search box above the table to instantly filter visible rows, matching any value in any visible column simultaneously. Use the column visibility checkboxes in the Columns panel to hide fields you do not need — hidden columns are also excluded from search and CSV export. Select the rows per page from the dropdown (10, 25, 50, or 100) and use the pagination controls at the bottom to navigate large datasets. Click Export CSV to download the current view — filtered, sorted, and column-restricted — as a comma-separated values file ready for Excel, Google Sheets, or any database import tool.
Common Use Cases
Frequently Asked Questions
The viewer expects a JSON array of objects at the top level — for example [{"name":"Alice","age":30},{"name":"Bob","age":25}]. Each object in the array becomes a row in the table, and each unique key across all objects becomes a column header. If your JSON is wrapped in a parent key (e.g. {"users":[...]}), paste just the inner array value. The tool automatically handles sparse arrays where not every object has every key, filling missing cells with empty values.
Click any column header to sort the table by that column in ascending order — a sort indicator arrow appears next to the header. Click the same header again to reverse to descending order. Click it a third time to clear the sort and restore the original order. For complex multi-field analysis where you need to sort by multiple columns simultaneously, use the CSV export and sort in Excel or Google Sheets which support multi-level sorting.
The search box filters visible rows in real time as you type, matching your query against every value in every visible column simultaneously. The match is case-insensitive and partial — typing "lon" will match "London", "elong", or any value containing that substring in any column. Hiding a column via the column toggle also removes it from the search scope, so only visible columns are included in the filter — useful for excluding ID or metadata fields from your search.
Yes. Apply a search filter to reduce the visible rows to only the records you want, toggle off any columns you do not need in the export, and then click Export CSV — the download will only include the currently visible rows and visible columns. This makes it easy to extract subsets of large JSON datasets for import into Excel, Google Sheets, or a database without writing any code or scripts.
The viewer is optimized for flat or shallow JSON arrays where values are scalars — strings, numbers, booleans, and null. Nested objects and arrays as values are serialized to their compact JSON string representation and shown in the cell as text. For deeply nested data, consider flattening it first using jq or a JSON flatten utility before pasting, which will give you a proper column for each nested field rather than a collapsed JSON string.
The tool runs entirely in the browser using JavaScript. Arrays of up to a few thousand objects with dozens of columns render smoothly on most modern devices. Very large datasets — 10,000 or more records with many fields — may be slower to parse and render on initial load. For large datasets, set the rows-per-page to 25 or 50 to keep the DOM efficient and use the search and column-toggle to narrow the visible data before scrolling.
Yes, and it is one of the most common use cases. Copy a JSON array response from your browser's Network tab, Postman, Insomnia, or any REST/GraphQL client and paste it directly into the viewer. The table immediately shows all records with all fields aligned in columns. Sort by a timestamp column to find the newest entries, search for a specific user ID or status value, or toggle off verbose metadata columns to focus on the fields relevant to your debugging.
All JSON parsing and table rendering happens entirely in your browser using JavaScript — no data is transmitted to any server at any point. You can safely use this tool with sensitive API responses, private database exports, authentication tokens, or any other confidential data. The tool has no analytics that capture or log input content, and closing the browser tab permanently discards all pasted data.