Data tagger: Assign tags to documents for organized storage
Use data tagger to organize documents with tags, summaries, and categories for efficient retrieval and management in records.

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Efficient document tagging for streamlined storage
Enhance your administration workflow with organized document management

Comprehensive document input fields
Our app offers a user-friendly interface with numerous input fields that capture essential document details. From title to classification category, each field ensures the completeness and accuracy of information, enhancing the quality of AI-generated outputs for better document management.

Flexible tagging options
Easily assign keywords and tags to your documents for optimal storage and retrieval. By allowing tags to be separated by commas, our app streamlines organization, enabling quick searches and efficient access to related documents in any administrative function.

Detailed document summaries
The app provides a dedicated field for entering concise summaries or descriptions of each document. This feature aids in contextual understanding, ensuring that records managers can quickly assess document relevance and content when reviewing or retrieving stored files.

Categorization and classification features
Users can classify documents based on various categories like confidential or public, tailoring their storage strategy according to specific needs. This categorization simplifies compliance with data governance policies while supporting secure access across the organization.

Reference linking capabilities
Facilitating inter-document relationships, our tool allows users to input related documents or references. This feature improves the visibility of dependencies and enhances user comprehension, making it easier for data management analysts to navigate complex information networks effectively.
Additional information
Best for: Records Management Specialist, Document Control Analyst, Document Classification Coordinator, Information Governance Manager, Records Administrator