Extract Metadata from Word using Make
Extract Metadata is a Make module by PDF4me that reads a Word document's built-in and custom properties, title, author, subject, keywords, creation date, modification date, and returns them as structured JSON. Use it for document cataloging, compliance audit trails, or populating a content management system without opening each file manually.
What this module does
PDF4me Extract Metadata from Word reads built-in properties (title, author, subject, keywords, company, creation date, modification date, page count, word count) and any custom document properties from a Word file, returning them as a structured JSON object inside your Make scenario.
How Do I Authenticate My Make Scenario?
Every PDF4me module in Make requires a valid Connection. Create or select one that holds your PDF4me API key so the scenario can authenticate metadata extraction requests securely.
Important Facts You Should Not Miss

Map File Name and Document, then run the scenario to receive built-in and custom Word document properties as JSON.
Parameters
Required: Connection, File Name, and Document must all be provided.
| Parameter | Required | What it does | Example |
|---|---|---|---|
| Connection | Required | PDF4me API connection. Click Add and paste your API key if connecting for the first time. | My PDF4me connection |
| File Name | Required | Filename of the Word document with proper extension (.doc or .docx), used for processing identification. | document.docx |
| Document | Required | Word file buffer mapped from a preceding module such as Dropbox, Google Drive, or SharePoint. | [Buffer from Get File] |
Output Fields
| Field | Type | What it contains |
|---|---|---|
Metadata | Object | Container object with all extracted document properties, both built-in and custom. |
Title | String | The document title property. |
Author | String | The document author property. |
Subject | String | The document subject property. |
Keywords | String | The document keywords/tags property. |
CreatedDate | String | The document creation timestamp. |
ModifiedDate | String | The document last-modified timestamp. |
PageCount | Number | Total number of pages in the document. |
WordCount | Number | Total word count in the document. |
Success | Boolean | True if metadata extraction completed successfully; false if it failed. |
How Do I Set Up Extract Metadata in Make?
- Add PDF4me → Extract Metadata to your Make scenario.
- Select Connection (or click Add to create one with your PDF4me API key).
- Map File Name to the filename with extension (
.docor.docx). - Map Document to the binary content from the source module: Dropbox, Google Drive, or SharePoint.
- Run the scenario. The
Metadataobject appears in the output, ready to map into a catalog, compliance log, or CMS.
Typical Setups
Workflow ExamplesCommon Make scenario patterns using Extract Metadata.
- A Dropbox Watch Folder trigger fires when a new Word document is uploaded to the library.
- Extract Metadata reads title, author, keywords, and dates from the file.
- An Airtable Create Record step indexes the document with the extracted properties for searching and filtering.
- Tags are generated automatically from the Keywords property for the document catalog.
- A scheduled trigger lists all controlled documents in a compliance folder.
- An Iterator loops through each file, Get File → Extract Metadata.
- A Filter flags documents whose ModifiedDate falls outside the expected review window.
- Flagged documents and their metadata are logged to a compliance audit report.
- A document lands in a staging folder connected to Make.
- Extract Metadata reads the title, author, subject, and keywords.
- An HTTP module POSTs the extracted properties to the CMS API to create a new content record.
- The original document is moved to an archive folder once the CMS record is confirmed created.
Practical Tips
Cheat Sheet
| Field | Value |
|---|---|
| Module | Extract Metadata (Word) |
| Connection | PDF4me API key |
| Supported extensions | .doc, .docx |
| Key output fields | Metadata.Title, Author, Subject, Keywords, CreatedDate, ModifiedDate |
| Empty property behavior | Returns empty string, not an error |
| Custom properties | Included when present in the source template |
Common Questions
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/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: Auto-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 auto-generate 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