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Data flow: Google Vision AI ? OpenText Extended ECM Platform
When images are uploaded into OpenText Extended ECM from business applications, Google Vision AI can analyze the files to detect objects, scenes, text, logos, and faces. The extracted metadata is then written back into Extended ECM as searchable properties, tags, and classifications. This reduces manual indexing effort and improves retrieval accuracy for marketing, legal, HR, and operations teams managing large image libraries.
Data flow: Google Vision AI ? OpenText Extended ECM Platform
Scanned documents, photos of forms, invoices, IDs, and signed paperwork can be processed by Google Vision AI OCR before being stored in Extended ECM. The recognized text can populate document metadata, support full-text search, and trigger downstream workflows such as records classification, retention assignment, or case routing. This is especially useful for shared service centers and back-office teams handling high volumes of image-based documents.
Data flow: Google Vision AI ? OpenText Extended ECM Platform
Organizations can use Google Vision AI to detect inappropriate, sensitive, or non-compliant visual content before it is approved for publication or long-term storage in Extended ECM. The platform can flag images containing restricted content, route them for human review, and store the review outcome and audit trail in the ECM system. This supports brand governance, regulatory compliance, and controlled publishing workflows.
Data flow: Google Vision AI ? OpenText Extended ECM Platform
Marketing teams can use Google Vision AI to identify logos and branded elements in images stored in Extended ECM. Detected brands can be used to classify assets by campaign, competitor, partner, or internal brand usage. This helps teams manage rights, approvals, and competitive intelligence, while making it easier to locate assets tied to specific brands or campaigns across the enterprise repository.
Data flow: Google Vision AI ? OpenText Extended ECM Platform
For employee directories, event photos, executive communications, and internal media libraries, Google Vision AI can detect faces and group images by person or event context. Extended ECM can then store the images with associated metadata, access controls, and retention rules. This improves content discoverability for communications teams while supporting governance over sensitive people-related content.
Data flow: Google Vision AI ? OpenText Extended ECM Platform
Retail, manufacturing, and procurement teams can use Google Vision AI to detect product attributes from images such as category, color, shape, and packaging details. Extended ECM can store the enriched product imagery alongside specifications, supplier documents, and approval records. This creates a more complete content record for catalog management, supplier onboarding, and product lifecycle processes.
Data flow: Google Vision AI ? OpenText Extended ECM Platform
Google Vision AI can identify the focal point in an image and support automated cropping or thumbnail selection before assets are published in Extended ECM. This improves the visual presentation of content libraries, portals, and search results without manual editing. It is particularly valuable for digital asset management, intranet publishing, and customer-facing content repositories.
Data flow: OpenText Extended ECM Platform ? Google Vision AI
Extended ECM can send newly captured images to Google Vision AI for analysis, then use the returned results to drive workflow decisions such as approval, exception handling, or records classification. In return, workflow status, reviewer comments, and final disposition can be stored back in Extended ECM as part of the content record. This bi-directional pattern supports auditable, automated content operations across legal, compliance, and business process teams.