NDJSON/JSONL Viewer
Parse and view JSONL (newline-delimited JSON) with interactive table, filtering, sorting, and export
NDJSON/JSONL Viewer
5 of 5 lines valid
| # | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| info | Session started | 2026-02-12T10:00:00Z | usr_123 | login | |||||||
| debug | API request | 2026-02-12T10:01:15Z | usr_123 | /api/v1/data | GET | ||||||
| warn | Rate limit approaching | 2026-02-12T10:02:30Z | usr_123 | 5 | |||||||
| error | Database connection timeout | 2026-02-12T10:03:45Z | usr_456 | ETIMEDOUT | 3 | ||||||
| info | Session ended | 2026-02-12T10:05:00Z | usr_123 | 300000 |
What this tool does
You can view and validate a JSONL or NDJSON file in the browser without uploading it. The NDJSON/JSONL Viewer parses each line as a separate JSON object entirely on your device, reports invalid lines with line numbers, and renders valid records in a sortable, filterable table. No file ever leaves your machine — there is no server upload.
Updated . Provided as is. Check the output before you rely on it in production.
How to use NDJSON/JSONL Viewer
- 1
Load JSONL or NDJSON
Paste JSONL (one JSON object per line) or load a .jsonl, .ndjson or .json file.
- 2
Browse the table
Each line becomes a row and columns are detected from the keys. The summary shows valid lines, parse errors and unique keys.
- 3
Search
Type in the search box to filter rows by any value across all keys.
- 4
Sort and download
Click column headers to sort, then download the filtered rows.
Questions and answers
What is NDJSON/JSONL Viewer?
Does NDJSON/JSONL Viewer store or send my data?
What is the difference between JSONL and NDJSON?
For AI agents: how to call this tool
Machine-readable contract, endpoints and examples. Humans can ignore this section.
Best Path For Builders
Browser workflow
Runs instantly in the browser with private local processing and copy/export-ready output.
Browser Workflow
This tool is optimized for instant in-browser execution with local data handling. Run it here and copy/export the output directly.
/jsonl-viewer/
For automation planning, fetch the canonical contract at /api/tool/jsonl-viewer.json.
How do I view and validate a large JSONL file in the browser without uploading it?
Open the viewer, then paste your JSONL content or load a local .jsonl, .ndjson, or .json file. The file is read with the browser's FileReader API and parsed line by line in the page itself, so nothing is transmitted to a server. Because there is no upload step, the practical size limit is your browser's memory, not a network quota.
Step by step
- Paste JSONL text into the input, or use the file picker to open a local file — it is read locally, never uploaded.
- Each line is parsed as an independent JSON object. Invalid lines are listed with their line number and parse error, so you can fix the exact offending records.
- Lines that parse but are not JSON objects (bare arrays or primitives) are flagged separately, since JSONL tooling expects one object per line.
- Browse valid records in the table: sort by any column, filter per column, or search across all fields.
- Export the filtered result when you are done.
What makes a JSONL file valid?
| Rule | Detail |
|---|---|
| One JSON value per line | Every line must be a complete, self-contained JSON document. In practice each line is an object. |
| Newline separated | Records are separated by newline characters. There is no enclosing array and no commas between records. |
| No trailing commas or comments | Each line must be strict JSON. Trailing commas, single quotes, and comments fail per-line validation. |
| Blank lines are skipped | Empty lines are ignored by the parser rather than reported as errors. |
Is JSONL the same as NDJSON?
Yes. JSONL (JSON Lines) and NDJSON (Newline Delimited JSON) describe the same format: one JSON object per line. It is the standard shape for log files, event streams, LLM fine-tuning datasets, and bulk exports, because each record can be read, validated, and streamed independently.
Why does no-upload matter for log data?
JSONL files are usually production logs, event exports, or training data — content that often contains user identifiers, prompts, or internal system details. A client-side viewer removes the data-handling question entirely: the parsing code runs in your browser tab, and closing the tab discards everything.