# Inspect Word author metadata before sharing

**Use case:** 

Check a Word DOCX for supported author metadata, comments, tracked changes and hidden text before sharing. Starts in inspection mode with an already-clean synthetic sample; replace the document URL or use base64 for your own file. Cleaning is a separate, explicitly chosen operation under the Actor's published prices.

## Input

```json
{
  "documentUrl": "<YOUR_SECRET>",
  "format": "docx",
  "operation": "inspect",
  "confirmContentChanges": false
}
```

## Output

```json
{
  "status": {
    "label": "Status",
    "format": "string"
  },
  "kind": {
    "label": "Kind",
    "format": "string"
  },
  "requires_content_confirmation": {
    "label": "Requires content confirmation",
    "format": "boolean"
  },
  "removed_count": {
    "label": "Removed count",
    "format": "integer"
  },
  "error": {
    "label": "Error",
    "format": "string"
  },
  "cleaned_file.url": {
    "label": "File API endpoint (authentication required)",
    "format": "link"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The PDF & Word Metadata Cleaner — Works with MCP Actor is ready to run with the inputs already set for "Inspect Word author metadata before sharing". [Sign up or log in](https://console.apify.com/create-task-from-example/BCZVuHWWkGWZ4XISj) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Inspect Word author metadata before sharing" task

The PDF & Word Metadata Cleaner — Works with MCP Actor will start running based on the input automatically. You can also change all the input fields, like format, operation, and more, to match your specific use case.

### 3. Receive the "Inspect Word author metadata before sharing" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as status, kind, requires content confirmation, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Inspect Word author metadata before sharing" task via API](https://apify.com/myworkingmemory/document-metadata-cleaner.md).

## FAQ

### What does the example inspect?

An already-clean synthetic Word document hosted by Myworkingmemory. It is a demonstration, not a customer file. Replace the Document URL or supply documentBase64 to inspect your own document.

### Does inspection change or clean my document?

No. This task starts with operation inspect and confirmContentChanges false. It reports supported findings without changing the source document or charging a cleaning event.

### How do I create a cleaned copy?

Review the inspection, then choose operation clean under the Actor's published pricing. Content changes require explicit approval and the inspected document SHA-256. Only cleaned or cleaned_with_notes results provide a verified output file.

## About this Actor

This example demonstrates how to use [PDF & Word Metadata Cleaner — Works with MCP](https://apify.com/myworkingmemory/document-metadata-cleaner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/myworkingmemory/document-metadata-cleaner.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/myworkingmemory/document-metadata-cleaner.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).