How to Use Adobe Sensei and Alternative Tools for Automated Document Tagging
Question details
The user is looking for ways to use Adobe Sensei for automated document tagging or exploring alternative tools and approaches for classifying and organizing documents.
- Product
- Adobe Sensei and Content Management Systems
- Device & OS
- not provided
- Scenario
- Handling large volumes of digital documents that require automated classification, metadata extraction, and tagging to streamline search and organization.
- Observed behavior
- Seeking a structured workflow to automatically analyze document content, assign appropriate metadata tags, and improve overall content management efficiency.
Before configuring any automated tagging system, clearly define your document types, standard metadata fields, and custom tag hierarchies to ensure the AI or OCR tool classifies your files accurately.
Configure Smart Tagging with Adobe Sensei
Use Adobe Sensei's AI capabilities, typically integrated within Adobe Experience Manager (AEM) or Adobe Document Cloud, to automatically analyze and tag your documents.
Adobe Sensei uses machine learning to understand the text and visual content within your documents. By enabling Smart Tags in supported Adobe enterprise applications, the system automatically assigns relevant keywords without manual data entry.
Log in to Adobe Experience Manager (AEM) or your specific Adobe Document service that includes Sensei features.
Navigate to the asset management or document properties settings and locate the 'Smart Tags' or 'Auto-Tagging' configuration. Toggle the feature on.
Upload a batch of documents into the designated folder. Adobe Sensei will automatically scan the text and visual elements, generating and applying relevant tags.
Open a processed document's properties panel. Review the automatically generated tags, delete any inaccurate ones, and manually add specific business keywords to train the AI over time.
Implement an Alternative OCR and Metadata Workflow
If Adobe Sensei is unavailable or too costly, build a custom tagging pipeline using standard Optical Character Recognition (OCR) tools combined with a Content Management System (CMS).
Manage and Organize Documents with WPS Office
WPS Office provides advanced OCR technology and robust PDF metadata tools, allowing you to easily extract text, edit properties, and organize your document library efficiently without requiring expensive enterprise AI setups.
- 1. Open your PDF in WPS Office: Launch WPS Office and open the scanned document or PDF you need to process.
- 2. Run OCR to digitize text: Navigate to the 'Tools' tab and select 'OCR'. Choose to extract text or convert the document to a searchable PDF.
- 3. Edit document metadata: Go to 'Menu' > 'Document Properties'. In the 'Description' tab, add relevant keywords, subjects, and titles to act as manual tags.
- 4. Save and organize: Save the optimized PDF. Your operating system's search function and standard document management systems can now read these tags and searchable text for easy retrieval.
Frequently Asked Questions
What is Adobe Sensei in the context of document tagging?
Adobe Sensei is an artificial intelligence and machine learning framework developed by Adobe. In document management, it analyzes the content, layout, and visual elements of files to automatically extract metadata and apply smart tags, making large document libraries easier to search.
Can I automatically tag documents without using enterprise AI tools?
Yes. While you may not get AI-driven auto-generation, you can use OCR software to make documents searchable, then utilize basic script-based folder rules, bulk metadata editors, or native OS tagging systems (like macOS Finder tags) to organize your files automatically based on file names or text content.
Why is metadata important for document classification?
Metadata acts as the hidden structural data describing your file (such as keywords, author, and creation date). Proper metadata ensures that content management systems, search engines, and AI tools can accurately sort, filter, and retrieve the correct documents instantly.
