Back to Home
Blog

Log Viewer

Analyze and filter log files

Total:0
Errors:0
Warnings:0
Info:0
Debug:0

Log Entries (0)

No logs found

Upload a log file or adjust your filters

Log Details

No log selected

Click on a log entry to view details

Log Viewer Features

  • Automatic parsing of common log formats
  • Filter by log level (ERROR, WARN, INFO, DEBUG)
  • Search through log messages and sources
  • Time-based filtering (last hour, day, week)
  • View raw log lines or parsed format
  • Export filtered logs as JSON
  • Real-time statistics and counts
  • Support for various log formats and timestamps

About the Log Viewer

Reading raw log files is tedious the moment they grow past a few hundred lines — everything runs together in a monospace wall of text, and finding the one error line buried among thousands of INFO entries turns into a scroll-and-squint exercise. The Log Viewer is a browser-based tool for opening a log file and actually making sense of it: it parses the entries, lets you filter and search, and highlights matching lines with color coding so patterns jump out instead of hiding in the noise. It's built for developers, sysadmins, and support engineers who need to dig through application, server, or system logs without installing a desktop app or piping files through grep and less on the command line.

The tool understands several common log shapes out of the box, including JSON-formatted log lines and traditional syslog output, and it also supports custom formats for logs that don't fit either mold. Once a file is loaded, you can search across entries, apply filters to narrow down what's shown, and assign colors to specific terms or severity levels so recurring patterns — repeated error codes, a particular service name, a spike in warnings — stand out visually as you scroll. Because filtering and highlighting happen live against the parsed entries, you can tighten or loosen your search as you go instead of re-running a command each time you want a different view of the same file.

All parsing and filtering happens client-side in your browser, so log content never leaves your machine unless you choose to share it — a meaningful point for anyone working with logs that contain internal hostnames, IPs, or other sensitive operational details. There's no signup and no file upload to a server involved. A practical habit: start broad with a keyword search to locate the general area of interest, then layer on color highlighting for the specific error codes or request IDs you're tracking, rather than trying to build one perfect filter up front.

How to view and analyze a log file

Load a log file into the Log Viewer and use filtering, search, and color highlighting to find what matters.

  1. 1

    Open your log file

    Load the log file you want to inspect into the Log Viewer; JSON, syslog, and custom log formats are all supported.

  2. 2

    Let it parse the entries

    The tool reads and structures the log lines in your browser so they display as distinct, readable entries instead of a raw text block.

  3. 3

    Search for what you need

    Type a keyword, error code, or identifier into the search field to jump straight to the relevant entries.

  4. 4

    Apply filters

    Narrow the visible entries by log level, source, or other criteria so only the lines relevant to your investigation remain on screen.

  5. 5

    Highlight with color coding

    Assign colors to specific terms or severity levels so recurring patterns, such as repeated errors or warnings, stand out as you scroll through the file.

  6. 6

    Adjust and repeat

    Refine your search terms or filters as you learn more from the log, since everything updates live without needing to reload the file.

Frequently Asked Questions

What log formats does the viewer support?

The log viewer supports plain text logs, JSON-formatted logs (NDJSON/JSON Lines), Apache/Nginx access logs, and syslog formats. It auto-detects the format and applies appropriate color coding and filtering.

Can I filter log entries by severity level?

Yes, filter by common log levels including DEBUG, INFO, WARN, ERROR, and FATAL. You can also search for specific text strings, filter by time range, and highlight patterns with regex.

Is my log data sent to any server?

No, all log processing happens entirely in your browser. Your log data is never uploaded or transmitted anywhere. This makes the tool safe to use with sensitive production logs.