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How to Convert NDJSON to a Table

Visualize Newline Delimited JSON data in a structured, readable table format

Step 1

Input Your NDJSON Data

Paste your NDJSON data where each line is a JSON object. Each unique key becomes a column header in the output table.

Paste directly: Copy NDJSON from log files, database exports, or streaming APIs
Upload a file: Click "Upload" to select a .ndjson, .jsonl, or .txt file
Try the sample: Click "Sample" to see a working example

Example: NDJSON Input (Product Inventory)

Each line is a JSON object representing a product record:

{"product":"Laptop Pro","category":"Electronics","price":1299.99,"stock":45,"rating":4.8}
{"product":"Wireless Mouse","category":"Electronics","price":29.99,"stock":230,"rating":4.5}
{"product":"Standing Desk","category":"Furniture","price":549.00,"stock":18,"rating":4.7}
{"product":"USB-C Hub","category":"Electronics","price":49.99,"stock":120,"rating":4.3}
{"product":"Monitor Arm","category":"Furniture","price":89.99,"stock":67,"rating":4.6}
Step 2

View as a Structured Table

The tool automatically generates a table with:

Auto headers: Column headers are extracted from all unique JSON keys
Color-coded types: Booleans, numbers, and nulls are color-coded for readability
Row numbering: Each row is numbered for easy reference

Example: Table Output

#productcategorypricestockrating
1Laptop ProElectronics1299.99454.8
2Wireless MouseElectronics29.992304.5
3Standing DeskFurniture549.00184.7
Step 3

Export Your Data

Get your table data out in multiple formats:

Copy as TSV: Tab-separated format pastes perfectly into Excel and Google Sheets
Download as CSV: Standard CSV file for databases and analytics tools
Export as Excel: Download as .xlsx for direct use in Microsoft Excel

What is NDJSON (Newline Delimited JSON)?

NDJSON (Newline Delimited JSON), also known as JSON Lines, is a data format where each line is a valid JSON object. It follows the JSON syntax rules defined in RFC 8259 but separates records with newlines instead of wrapping them in an array.

Viewing NDJSON as a table is particularly useful when working with data exports from the Elasticsearch Bulk API, Google BigQuery, MongoDB, and structured logging systems. A table view makes it easy to scan, compare, and analyze records that would otherwise require scrolling through raw JSON lines.

The table converter uses JSON.parse() on each line independently, extracting all unique keys as column headers and mapping values to cells — giving you a spreadsheet-like view of your NDJSON data directly in the browser.

NDJSON Table View Use Cases

Viewing NDJSON as a table makes data inspection and analysis intuitive across various workflows:

Log File Inspection

Quickly scan structured log files in a readable table format. Spot patterns, errors, and anomalies at a glance without parsing raw JSON.

Best for: Application logs, access logs, audit trails

Data Quality Review

Review data pipeline outputs in table format to verify completeness, check for missing values, and validate data types before further processing.

Best for: ETL validation, data migration checks, schema analysis

Frequently Asked Questions

How are table columns determined?

Columns are automatically created from all unique JSON keys found across every NDJSON line. If one line has keys that others don't, those cells will be empty for the other rows. You can use the column selector to show or hide specific columns.

How are nested objects displayed?

Nested objects and arrays are displayed as JSON strings in the table cell. You can hover over any cell to see the full value in a tooltip. For a more detailed view, try our NDJSON Viewer which shows formatted JSON output.

Can I copy the table into Excel?

Yes! Click "Copy" to copy the table as tab-separated values (TSV), which pastes perfectly into Microsoft Excel, Google Sheets, and other spreadsheet applications.

Can I export the table as CSV?

Yes, click the download button to save as a CSV file. For more CSV conversion options, try our dedicated NDJSON to CSV converter.

What is the difference between NDJSON and CSV?

Both are tabular formats, but NDJSON preserves data types (numbers, booleans, nulls) and supports nested objects, while CSV treats all values as strings and requires a flat structure. NDJSON is better for data interchange; CSV is better for spreadsheet compatibility.

Where does NDJSON data come from?

NDJSON is commonly output by the Elasticsearch Bulk API, Google BigQuery exports, MongoDB's mongoexport, Apache Kafka consumers, and structured logging libraries. Use our JSON to NDJSON converter to create your own.

Is this tool free?

Yes, completely free with no limits. All processing happens in your browser — your data never leaves your device.