FEATURE SHOWCASE
Aprimo’s Optical Character Recognition (OCR) for Images and Video leverages AI-powered text extraction to unlock the value of embedded text within your digital assets. By automatically identifying and extracting visible text from images and video files, Aprimo enriches asset metadata, making content more searchable and discoverable.
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Overview: Optical Character Recognition (OCR) for Images and Video in Aprimo enables the automatic extraction of any visible text within image and video files using advanced AI algorithms. The extracted text is stored as part of the asset’s metadata and is indexed for search, allowing users to locate assets based on embedded text content.
- Enhanced captioning provides human-like descriptions of images and documents, improving contextual search and discoverability.
- These capabilities are configurable via rules and maintenance jobs, allowing organizations to tailor enrichment processes to their content types and business needs.
- Together, OCR, enhanced captioning, and smart tagging form a robust suite of tools for maximizing the value and usability of digital assets within Aprimo’s DAM platform.
What: OCR for Images and Video in Aprimo is an AI-driven feature that automatically extracts visible text from image and video files.
Details: This extracted text is stored in the asset's metadata and made available in the search index, enabling users to search for assets based on the text contained within them. The feature also includes enhanced captioning, which generates rich, human-like descriptions of images and documents, and integrates with smart tagging to further enrich asset metadata. The extraction process can be triggered automatically via rules or initiated manually through maintenance jobs, providing flexibility in how and when enrichment occurs.
Why: This feature is vital for organizations managing large volumes of visual and multimedia assets, as it transforms previously inaccessible embedded text into actionable metadata.
Details: By making text and descriptive information within images and videos searchable, Aprimo OCR accelerates asset discovery, reduces manual tagging effort, and supports compliance and accessibility initiatives. Enhanced captioning and smart tagging further improve productivity by enabling natural language and contextual search, ensuring users find the right content quickly and efficiently.
The Where
Where to find it: OCR for Images and Video is integrated within Aprimo’s Digital Asset Management (DAM) platform.
Details: It appears in asset ingestion workflows, asset detail views (where extracted text and captions are displayed as metadata), and search interfaces (where users can leverage the enriched metadata for advanced queries). Configuration and management occur within the administration settings, where rules and maintenance jobs are set up to control when and how OCR and enhanced captioning are applied.
Key Behaviors: This feature typically supports the following actions:
- Automatic text extraction during asset ingestion or via scheduled maintenance jobs
- Rule-based triggering for specific file types or content states
- On-demand enrichment for existing assets
Also Supports: Extracted text is stored under the 'ocr' subheader in the asset's metadata and becomes part of the search index. Enhanced captioning generates descriptive metadata for images and documents, supporting searches based on both visual and textual content. Contributors can review and utilize enriched metadata, while consumers benefit from improved search and discovery experiences.
Real World Use Cases
Discover how customers use this feature in real-world scenarios to streamline processes, improve collaboration, and deliver results faster.
Real-World Examples: Teams commonly use this capability in scenarios like these.
- Accelerating Marketing Asset Discovery: A global marketing team uses OCR to extract embedded text from campaign images and videos, allowing team members to find assets by searching for product names, slogans, or event details that appear in visual content.
- Ensuring Compliance in Regulated Industries: A pharmaceutical company leverages OCR and enhanced captioning to ensure all required disclaimers and regulatory information embedded in images and videos are easily searchable and verifiable during audits.
- Improving Accessibility for Training Materials: An HR department uses OCR to extract text from training videos and images, making content accessible and searchable for employees with disabilities, and supporting internal knowledge management.
- Streamlining Legal Discovery: A legal team utilizes OCR to extract and index text within scanned contracts and video evidence, enabling rapid search and retrieval of key terms, dates, and parties involved in litigation.
Aprimo Demo Site Examples
Visit the AMP demo site to explore and trial these features in a live environment. While admin access is not available, step-by-step instructions are provided to help you recreate the feature examples and understand how they work. Al self registered users will have contributor access.
Examples to explore in AMP demo environment that use this feature:
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