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{}JSONKits

JSON Log Viewer - Parse and View JSON Logs

Parse JSON log entries, extract timestamp, level, and message fields for easy analysis.

Input

text
loading editor…

Paste your JSON logs here...
or drop a file anywhere in this pane

Output

json

Parsed log view will appear here...
press ⌘↵ to parse logs

What Is JSON Log Viewing?

JSON log viewing is the practice of parsing structured log entries — typically in newline-delimited JSON (NDJSON) format — into a readable table so you can quickly scan timestamps, severity levels, messages, and metadata. Modern cloud-native applications emit logs as JSON objects, one per line, making machine parsing easy but human reading difficult.

This is used for:

  • Debugging Production Issues: Scan hundreds of log lines in a structured view to spot error patterns.
  • Log Analysis: Extract and examine specific fields like level, message, service, or traceId across many entries.
  • Incident Response: Quickly filter by error-level logs during an outage without scrolling through raw JSON.

How to Use the JSON Log Viewer Online

  1. Paste your NDJSON logs: Copy one or more JSON log lines (one object per line) into the editor.
  2. Click Parse Logs: The tool reads each line, extracts common fields, and renders them in a sortable table.
  3. Analyze the output: Identify errors, warnings, and info entries at a glance, then copy individual entries as needed.

Frequently Asked Questions

What log formats are supported?

The viewer works with any NDJSON input where each line is a valid JSON object. It intelligently detects fields like timestamp, level, severity, message, msg, service, and logger regardless of naming variation.

Is this tool safe?

Yes. All processing happens 100% client-side in your browser. Nothing is uploaded to any server.

Is this tool free?

Yes, completely free with no usage limits or registration required.

Real-World Examples

A DevOps engineer debugging a Kubernetes pod crash can copy the container's JSON-formatted logs from kubectl logs and paste them into this viewer. The structured table immediately surfaces the error-level entries and their timestamps, cutting investigation time significantly.

Related Tools

  • JSON to Table — Convert any JSON data into an HTML table for visualization.
  • JSON to CSV — Export JSON log data as a CSV file for spreadsheet analysis.
  • JSON Filter — Filter JSON data by field values to narrow down log entries.