Actions80
- Add Attachment To PDF
- Add Barcode To PDF
- Add Form Fields To PDF
- Add HTML Header Footer
- Add Image Stamp To PDF
- Add Image Watermark To Image
- Add Margin To PDF
- Add Page Number To PDF
- Add Text Stamp To PDF
- Add Text Watermark To Image
- AI-Invoice Parser
- AI-Process Contract
- AI-Process HealthCard
- Classify Document
- Compress Image
- Compress PDF
- Convert HTML To PDF
- Convert Image Format
- Convert JSON To Excel
- Convert Markdown To PDF
- Convert PDF To Editable PDF Using OCR
- Convert PDF To Excel
- Convert PDF To PowerPoint
- Convert PDF To Word
- Convert To PDF
- Convert URL to PDF
- Convert VISIO
- Convert Word to PDF Form
- Create Images From PDF
- Create PDF/A
- Create Swiss QR Bill
- Crop Image
- Delete Blank Pages From PDF
- Delete Unwanted Pages From PDF
- Split PDF By Barcode
- Disable Tracking Changes In Word
- Enable Tracking Changes In Word
- Extract Attachment From PDF
- Extract Form Data From PDF
- Extract Pages From PDF
- Extract Resources
- Extract Table From PDF
- Extract Text By Expression
- Extract Text From Word
- Fill PDF Form
- Find And Replace Text
- Flip Image
- Flatten PDF
- Generate Barcode
- Generate Document Single
- Generate Documents Multiple
- Get Document From Pdf4me
- Get Image Metadata
- Get PDF Metadata
- Split PDF By Swiss QR
- Get Tracking Changes In Word
- Image Extract Text
- Linearize PDF
- Merge Multiple PDFs
- Overlay PDFs
- Parse Document
- Protect PDF
- Read Barcode From Image
- Read Barcode From PDF
- Read SwissQR Code
- Remove EXIF Tags From Image
- Repair PDF Document
- Replace Text With Image
- Replace Text With Image In Word
- Resize Image
- Rotate Document
- Rotate Image
- Rotate Image By EXIF Data
- Rotate PDF Page
- Sign PDF
- Split PDF By Text
- Split PDF Regular
- Unlock PDF
- Update Hyperlinks Annotation
- Upload File To PDF4me
Overview
This node operation, Get Tracking Changes In Word, extracts the tracked changes from a Microsoft Word document. It is useful in scenarios where you need to programmatically review or process edits made in a Word document, such as for document auditing, version control, or automated reporting of modifications.
Practical examples include:
- Automatically extracting and summarizing all revisions made by collaborators in a shared Word document.
- Integrating with document management systems to track changes history.
- Generating reports on document edits without manually opening the file.
Properties
| Name | Meaning |
|---|---|
| Input Data Type | How the Word document is provided. Options: - Binary Data (from previous node) - Base64 String (encoded content) - URL (link to the document) |
| Binary Property | The name of the binary property containing the Word document (used when Input Data Type is Binary Data). Default is "data". |
| Document Name | The name of the Word document including its extension (e.g., document.docx). Required when Input Data Type is Base64 or URL; optional for Binary Data. |
| Base64 Document Content | The base64 encoded content of the Word document. Required if Input Data Type is Base64 String. |
| Document URL | The URL pointing to the Word document. Required if Input Data Type is URL. |
Output
The output JSON contains the extracted tracking changes data from the Word document. This typically includes details about insertions, deletions, formatting changes, and comments that were tracked in the document.
If the input was binary or base64, the node processes the document content directly. If a URL was provided, it fetches the document from the given link before extraction.
The node does not output binary data itself but returns structured JSON representing the tracked changes.
Dependencies
- Requires access to the Word document either as binary data, base64 string, or via a URL.
- May require an API key credential or authentication token configured in n8n to interact with the external service performing the extraction (implied by the bundled code referencing many actions).
- Network access is needed if providing a URL to fetch the document.
Troubleshooting
Common issues:
- Providing an incorrect or inaccessible URL will cause failures fetching the document.
- Missing or incorrect binary property name when using binary input will result in no document found.
- Invalid base64 content or corrupted Word documents may cause parsing errors.
- Not specifying the document name when required can lead to errors.
Error messages:
- Errors related to document retrieval (e.g., network errors, 404 not found) indicate problems with the URL or connectivity.
- Parsing errors suggest the document is not a valid Word file or is corrupted.
- Validation errors occur if required parameters are missing.
Resolutions:
- Verify URLs are correct and accessible.
- Ensure binary property names match the actual input data.
- Confirm base64 strings are properly encoded.
- Always provide the document name when required.
Links and References
- Microsoft Word Track Changes Documentation
- Working with Word Documents Programmatically
- Base64 Encoding Reference
Note: This summary is based on static analysis of the node's source code and provided properties. Runtime behavior depends on the external service handling the Word document processing.