Extract Metadata from Word in Zapier
PDF4me Extract Metadata is a Zapier action that reads title, author, subject, keywords, creation and modification dates, page count, word count, and any custom properties from a Word document, without opening the file. Use it for document cataloging, compliance tracking, CMS population, or routing based on metadata. It returns a structured Metadata object instead of a file.
Authenticating Your API Request
To access the PDF4me Web API through Zapier, every request must include proper authentication credentials. Authentication ensures secure communication and validates your identity as an authorized user, enabling seamless integration between your Zapier workflows and PDF4me's Word metadata extraction services.
Important Facts You Should Not Miss
Use the + button next to File and File Name to map from earlier Zap steps (e.g., Google Drive, Dropbox, or a trigger). The Word file must provide full content, not "Exists but not shown" references.
If you see "File: (Exists but not shown)" in the File field and get errors, select the option that provides the full file content instead. See Zapier & Power Automate Tips for details.

What Are the Key Features of Extract Metadata?
- Built-in Properties: title, author, subject, keywords, company
- Date Information: creation date, modification date, last print date
- Document Statistics: page count, word count, character count
- Custom Properties: extract user-defined custom document properties
- JSON Output: structured JSON format for easy integration
Parameters
Complete list of parameters for the Extract Metadata action. Parameter names match the Zapier configuration UI shown in the screenshot above.
- Map File and File Name from a previous step
- Optionally set Culture Name if regional date formatting matters
| Parameter | Required | What it does | Example |
|---|---|---|---|
| File | Required | Word document to read metadata from. Map from a previous step. Must provide full file content. | [4. File from Step 4] |
| File Name | Conditional | Word filename with .docx or .doc extension. | document.docx |
| Culture Name | Conditional | Locale used when interpreting region-specific values in the metadata. | en-US |
Important: Only File is required. Map File Name from a previous step's filename output when available.
What Does Extract Metadata Return?
The PDF4me Extract Metadata action returns a Metadata object, not a file, containing document properties. Map individual metadata fields to your next Zap steps for cataloging, compliance, or CMS integration.
JSON object with Title, Author, Subject, Keywords, CreatedDate, ModifiedDate, PageCount, WordCount, and any custom properties. Map nested fields, for example Metadata.Title or Metadata.Author, to next steps.
| Field | Type | What it contains |
|---|---|---|
Job Id | String | Unique identifier for the Zapier job execution. |
Metadata | Object | JSON object with document properties. |
Metadata.Title | String | Document title. |
Metadata.Author | String | Document author. |
Metadata.Subject | String | Document subject. |
Metadata.Keywords | String | Document keywords. |
Metadata.CreatedDate | String | Creation date, in ISO 8601 format. |
Metadata.ModifiedDate | String | Last modification date. |
Metadata.PageCount | Number | Total page count. |
Metadata.WordCount | Number | Total word count. |
- JSON
- Zap Integration
Example JSON output:
{
"Job Id": "...",
"Metadata": {
"Title": "Q4 Financial Report",
"Author": "John Doe",
"Subject": "Financial Analysis",
"Keywords": "finance, Q4, report",
"CreatedDate": "2024-01-15T10:30:00Z",
"ModifiedDate": "2024-01-20T15:45:00Z",
"PageCount": 25,
"WordCount": 5280
}
}
Use + to map Metadata.Title, Metadata.Author, Metadata.ModifiedDate, or other nested fields to the next step, database, CMS, Google Sheets, or filtering logic.
Typical Setups
Workflow ExamplesCommon Zapier workflow patterns using Extract Metadata.
- A trigger fires when a new document is uploaded to a shared library.
- PDF4me Extract Metadata reads Title, Author, and Keywords from the file.
- The extracted fields are inserted into a catalog database or search index for later lookup.
- A scheduled trigger lists controlled documents from a compliance folder.
- PDF4me Extract Metadata reads ModifiedDate and Author for each file in a loop.
- A filter flags any document whose ModifiedDate or Author falls outside policy for manual review.
- A document lands in a staging folder ahead of publication.
- PDF4me Extract Metadata reads Title, Author, and Keywords from the file.
- The fields are posted to a CMS API to pre-fill the content record before the editor reviews it.
Practical Tips
Cheat Sheet
| Field | Value |
|---|---|
| Action | Extract Metadata |
| File | [Mapped from previous step] |
| File Name | document.docx |
| Culture Name | en-US (optional) |
| Core output | Metadata.Title, Metadata.Author, Metadata.CreatedDate, Metadata.WordCount, and more |
Common Questions
Related Actions
Same Task on Other Platforms
Industry Use Cases & Applications
- Compliance & Audit
- Content Management
- Legal & Professional
- Publishing & Documentation
- Document Audit Trails: extract modification dates and authors for compliance audit evidence
- Version Control Tracking: monitor document versions using creation and modification timestamps
- Author Verification: validate document authors match authorized personnel lists
- Retention Policy Enforcement: check creation dates against retention schedules for archival decisions
- Controlled Document Management: track document properties for ISO or quality management compliance
- CMS Integration: populate content management systems with document titles, authors, keywords
- Search Indexing: extract keywords and subject for full-text search engine indexing
- Document Classification: categorize documents based on subject and keyword metadata
- Library Cataloging: index corporate document libraries using extracted properties
- Tag Generation: generate document tags from keywords and subject fields
- Matter Document Tracking: extract metadata for legal matter document management systems
- Discovery Document Indexing: catalog discovery documents by author, date, subject for review
- Contract Management: extract contract parties, dates, subjects for contract database population
- Privilege Log Generation: use document metadata to support privilege log entries
- Document Production: track production document metadata for litigation database systems
- Manuscript Tracking: extract author, title, word count for manuscript management systems
- Publishing Workflow: route documents based on author and modification date metadata
- Style Guide Compliance: check document properties match publishing style guide requirements
- Content Analytics: analyze document statistics (word count, page count) for content planning
- Multi-Author Coordination: track document authors and modification dates in collaborative projects