Log Prettifier
Format JSON logs and semi-structured log lines into cleaner readable output for debugging.
Log Prettifier makes dense logs easier to scan by formatting JSON lines, preserving raw context, and keeping important details visible. The tool is built for fast browser-side checks, with examples and related utilities linked below for the next debugging step.
What is Log Prettifier?
Log Prettifier is a browser-based developer utility for format JSON logs and semi-structured log lines into cleaner readable output for debugging. It is designed for everyday work with API responses, request payloads, configuration snippets, logs, test data, and small pieces of text that need to be checked before they are reused.
The tool focuses on practical log prettifier workflows instead of hiding the result behind a complex interface. You paste the value, run the action, review the output, and copy the cleaned result. Because the interactive work happens in the browser, it is a good fit for quick local checks where you do not want to create a project file or install a command line package just to inspect one value.
How to use Log Prettifier?
Step 1
Start by pasting a realistic sample into the tool. For example, paste `{"level":"INFO","service":"billing","requestId":"3f2f6a64-7412-4d8d-8d29-cd0e30ae9380","message":"processed"}` into the input area. Small samples are easier to validate first, then you can repeat the same workflow with a larger payload once the shape is confirmed.
Step 2
Paste one or more log lines into the input area. Run prettify to format JSON and tidy semi-structured output. Copy the cleaned result for incident notes or analysis. If the output does not look right, compare it with the common issues listed below. Copied data often contains hidden line breaks, escaped quotes, trailing text from a log viewer, or a missing closing character.
Step 3
When the result is correct, copy it into the place where it is needed: an API client, a unit test, a migration file, a support ticket, a code review, or a local note. If the next step is validation, decoding, or comparison, use the related tool links rather than searching again.
Example usage
For example, paste `{"level":"INFO","service":"billing","requestId":"3f2f6a64-7412-4d8d-8d29-cd0e30ae9380","message":"processed"}` into the input area. This mirrors the kind of short value developers usually copy from a console, HTTP response, CI log, or test fixture while debugging an issue.
The result should be copy-ready, easy to scan, and suitable for a pull request comment, API client, test fixture, or debugging note. A real workflow might be: copy a suspicious value from an integration log, run it through Log Prettifier, confirm the structure or conversion, then paste the cleaned version into a ticket with enough context for another developer to reproduce the problem.
Why is this useful?
Log Prettifier saves time when the question is small but blocking: is this value valid, readable, encoded correctly, comparable, or safe to paste into another workflow? Opening a full IDE, writing a scratch script, or installing a package is often slower than using a focused browser tool for that first inspection pass.
It is also useful for communication. Formatted and validated output is easier to discuss in pull requests, incident channels, API documentation, and bug reports. Clear examples reduce back-and-forth because teammates can see the exact input, output, and failure mode. For adjacent tasks, use trace-correlation-id-extractor, header-parser and json-formatter from this page to continue the same debugging path.