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HAR File Sanitizer and Viewer

Sanitize HAR exports by hiding sensitive headers, cookies, tokens, and request details before sharing browser traces.

Use it in your browser: Paste or upload input and review the result on the same page.
Copy or download output: Use the cleaned result immediately when it is ready.
Review before sharing: Check the output first so you stay in control of what leaves your screen.

Sanitize HAR files before sharing

Load a HAR export, hide headers and risky values, then review a safer browser trace.

Try a sample

Before: original HAR

After: sanitized HAR

{
  "log": {
    "entries": [
      {
        "request": {
          "method": "GET",
          "url": "[URL]",
          "headers": [
            { "name": "Authorization", "value": "Bearer [TOKEN]" },
            { "name": "Cookie", "value": "session=abc123" }
          ]
        }
      }
    ]
  }
}

2 sensitive items detected

Review the removed item types below, then copy or download the cleaned version.

16 lines scannedInput 340 charsOutput 304 charsOutput 16 lines

Bearer tokens: 1 removedURLs: 1 removed

Cleaning strength

Keeps logs easy to read while hiding common sensitive details.

Keeps

Debugging context

18 cleaning types activeThis count changes when you select or remove cleaning types below.

Choose what to hide

Turn off anything you want to keep visible in the cleaned copy.

Keys and tokensAPI keys, JWTs, auth headers, database links.Config valuesEnv variables, connection strings, DSNs, and app config.Email addressesCustomer and team email addresses.Phone numbersPhone numbers copied into logs or tickets.Identity numbersSSNs and strict-mode financial identity formats.Payment cardsCard fields and card-like numbers in strict mode.IP addressesNetwork addresses from logs and traces.Device addressesMAC addresses and device identifiers.Hosts and domainsServers, hostnames, referrers, and internal domains.Web linksPublic or private URLs.CookiesCookie and set-cookie headers.Computer pathsMac, Linux, and Windows user paths.IDs and tracesUser, customer, account, request, and trace IDs.Log and trace IDsLog IDs, event IDs, trace hashes, and object IDs.Infra detailsTenants, environments, clusters, namespaces, and services.Queues and topicsKafka brokers, topics, queues, streams, and consumer groups.Cloud resourcesAWS ARNs, buckets, storage links, and cloud resource IDs.Browser detailsUser-Agent and app client strings.

Custom things to hide

Bring custom rules from another browser or teammate. The file is read in this browser and your logs are not uploaded.Download only your custom rules, never the log text, so you can reuse your cleanup setup later.

Add private names, tenant IDs, workspace IDs, emails, or patterns once. This browser remembers them for next time; export the rules before clearing browser data or moving to another device.

Saved custom rules

LabelText to hideReplacementMatch type

Ignore case

What this tool offers

A focused workspace for har file sanitizer and viewer with clear input, output, samples, and actions.

Fast first step

Start with a clearly labeled sample or paste your own content.

Clear output

Review the generated result in a readable output panel.

Useful actions

Copy, download, clear, or open large output in fullscreen when helpful.

Built for repeat work

The layout follows the same OpenBrowserTools pattern used across production tools.

Privacy and saved settings

This tool is designed for browser-side use. Your pasted text or uploaded file is processed on this page.

Input stays in this browser

The tool processes pasted content locally for this workflow.

No account needed

Use the tool directly without creating a workspace or uploading data to a project.

Review before use

Always check generated output before sharing it with another person or system.

Example input and output

The output keeps the result useful while replacing risky details with clear labels.

Before

Paste input here

After

Review output here

Why examples help

Samples show the shape of the input and output without using your private data.

Use cases

Before sharing with AI

Prepare or inspect data before pasting it into an AI assistant.

Before sending to support

Review files or text before including them in a ticket.

Before team handoff

Create a cleaner output that is easier for someone else to read.

Before import or testing

Check generated data before using it in a local workflow.

How it works

The tool follows a simple input, process, and review flow.

Add input

Paste content, load a sample, or upload a supported file when available.

Review result

The output updates in the browser so you can inspect it before using it.

Copy or download

Use the action buttons to take the result into your next workflow.

FAQ

What is HAR File Sanitizer and Viewer for?

Clean HAR files in your browser before sharing network traces.

Does this upload my input?

No. This tool is designed to process the input in your browser for this workflow.

Can I use the sample data?

Yes. Samples are clearly labeled and only show example input formats.

Should I review the output?

Yes. Always review generated or cleaned output before sharing, importing, or using it.