Metadata extraction and tagging for new files

Purpose

1. Automate metadata extraction and tagging for new files entering military archive systems to expedite document organization, enable advanced search, enforce compliance, and reduce manual labor.

2. Automates the identification of document attributes—such as author, creation date, classification level, unit, operation, language, and access controls—assigning standardized tags for effective archiving and retrieval.

3. Enables automated content analysis using text extraction, ML/NLP classification, digital watermarking, and security categorization workflows, ensuring compliance with government standards.

Trigger Conditions

1. Automated detection of new file addition to archive repositories (local, cloud, or hybrid).

2. Scheduled automation (e.g., hourly, daily) to process and tag unclassified files.

3. Manual user upload or bulk data ingestion events trigger automated workflows.

4. Automates re-tagging upon file modification or compliance review cycles.

Platform Variants

1. Microsoft Power Automate

• Feature/Setting: "AI Builder – Form Processing" for automated metadata extraction; configure flow to detect new SharePoint file.
  

2. Google Cloud Vision API

• Feature/Setting: "DOCUMENT_TEXT_DETECTION" for automated text and label extraction; setup trigger on new file in Google Drive.
  

3. AWS Textract

• Feature/Setting: "StartDocumentAnalysis" API for automated data field extraction; S3 bucket upload event as automator trigger.
  

4. IBM Watson Discovery

• Feature/Setting: "Enrichments – Entities and Metadata Extraction" to automate classification and tagging; connect via document ingestion API.
  

5. Adobe Document Services

• Feature/Setting: "Extract API" for automating structured data parse; set up webhook on file upload.
  

6. Alfresco

• Feature/Setting: "Content Model Auto-tagging" automates tagging on upload; configure rules via admin panel.
  

7. M-Files

• Feature/Setting: "Automatic Metadata Extraction" automates from template and document type; set repository monitoring.
  

8. Box Skills Kit

• Feature/Setting: "Skills API – Metadata Extraction" automates enrichment on new upload; configure Box folder triggers.
  

9. DocuWare

• Feature/Setting: "Intelligent Indexing" for automated metadata capture; configure watched import folders.
  

10. SharePoint Syntex

• Feature/Setting: "Content Understanding Models" automates tagging/classification; train model, link to document library.
  

11. OpenText Magellan

• Feature/Setting: "Text Mining and Metadata Extraction" automates processing; attach to archive ingestion flow.
  

12. ElasticSearch

• Feature/Setting: "Ingest Pipelines – Attachment Processor" for automating extraction during file indexing.
  

13. OnBase by Hyland

• Feature/Setting: "AutoFill Keyword Sets" automates metadata suggestion; enable in document import process.
  

14. Dell EMC Documentum

• Feature/Setting: "Content Intelligence Services" for automating tagging; integrate with document creation event.
  

15. Nuance AutoStore

• Feature/Setting: "Document Capture Profiles" automate file parsing; configure rules for archive folders.
  

16. Laserfiche

• Feature/Setting: "Smart Capture with Machine Learning" automates extraction on import; publish workflow to monitored folders.
  

17. UiPath Document Understanding

• Feature/Setting: "Intelligent OCR" automates reading and tagging; use orchestration trigger on new files.
  

18. Kofax Capture

• Feature/Setting: "Document Class – Index Field Extraction" automates structured metadata capture; configure batch class triggers.
  

19. IBM FileNet Content Manager

• Feature/Setting: "Document Classifications & Property Templates" automate metadata enforcement upon file creation.
  

20. SAP ArchiveLink

• Feature/Setting: "Content Repository Integration" automates tagging using document attributes during upload.
  

21. Everteam Records Management

• Feature/Setting: "Metadata Autotagging" automates classification by business rules; configure policy-based triggers.
  

Benefits

1. Automates labor-intensive tag application and ensures consistent metadata across archives.

2. Accelerates information retrieval and supports auditability, compliance, and reporting by automating metadata normalization.

3. Reduces manual errors, increases classification accuracy, and supports large-scale automated processing for military archive needs.

4. Automated metadata extraction and tagging enhances security by supporting automated access controls and redaction processes.

5. Facilitates future automation, digital archiving, and data interoperability initiatives for government and military agencies.