Google Vision AI - OpenText InfoArchive Integration and Automation

Common Integration Use Cases Between Google Vision AI and OpenText InfoArchive

1. Automated archiving of scanned documents with searchable metadata

Data flow: Google Vision AI ? OpenText InfoArchive

Organizations can use Google Vision AI to extract text, detect document type, and identify key visual elements from scanned invoices, contracts, claims forms, or correspondence before sending the content to OpenText InfoArchive for compliant long-term retention. The extracted OCR text and classification tags can be stored as metadata in the archive, making records easier to search, retrieve, and audit.

Business value: Reduces manual indexing effort, improves retrieval speed, and supports retention and compliance requirements for high-volume document archives.

2. Legacy system decommissioning with enriched record preservation

Data flow: Legacy application data ? Google Vision AI ? OpenText InfoArchive

When retiring a legacy content or case management system that contains scanned images, forms, and attachments, Google Vision AI can process the visual assets to extract text and detect content attributes. OpenText InfoArchive then stores the records with enriched metadata, enabling the business to decommission the source system while preserving access to archived information.

Business value: Lowers infrastructure and support costs, reduces dependency on obsolete applications, and preserves compliance-ready access to historical records.

3. Compliance archiving of customer-submitted images and supporting evidence

Data flow: Customer portal or case system ? Google Vision AI ? OpenText InfoArchive

For industries such as insurance, banking, healthcare, and public sector, customer-submitted images like IDs, damage photos, receipts, or signed forms can be analyzed by Google Vision AI to extract text and identify relevant content. OpenText InfoArchive can then retain the original image and extracted metadata as part of the official record for regulatory review and dispute resolution.

Business value: Strengthens evidence management, improves case traceability, and supports retention policies for regulated customer interactions.

4. Archiving of moderated user-generated content with audit-ready context

Data flow: Digital channels or moderation workflow ? Google Vision AI ? OpenText InfoArchive

Organizations that moderate user-generated images can use Google Vision AI to detect inappropriate or policy-sensitive content, such as explicit imagery, violence, or brand misuse. Approved, rejected, or escalated items can then be archived in OpenText InfoArchive with moderation outcomes, timestamps, and reviewer notes for audit and legal defensibility.

Business value: Creates a defensible moderation record, supports policy enforcement, and reduces risk in customer-facing digital channels.

5. Brand and logo evidence retention for legal and marketing teams

Data flow: Web monitoring or media intake ? Google Vision AI ? OpenText InfoArchive

Google Vision AI can detect logos and branded elements in images collected from websites, social media, partner portals, or media libraries. OpenText InfoArchive can preserve the original image, detected brand metadata, and related case notes so legal, compliance, and marketing teams can maintain a historical record of brand usage, misuse, or competitive appearances.

Business value: Improves brand monitoring workflows, supports trademark investigations, and provides a long-term evidence repository.

6. Archiving of product image catalogs with searchable attributes

Data flow: Product information management system ? Google Vision AI ? OpenText InfoArchive

E-commerce and retail organizations can use Google Vision AI to detect product attributes such as color, category, packaging type, and visible text from product images. OpenText InfoArchive can retain the image set and metadata as a governed archive for product lifecycle history, catalog audits, and regulatory traceability.

Business value: Improves catalog governance, supports product traceability, and reduces manual enrichment work for merchandising and compliance teams.

7. Accessible archive access for visually rich records

Data flow: OpenText InfoArchive ? Google Vision AI ? end users or accessibility tools

Archived images and scanned records stored in OpenText InfoArchive can be processed by Google Vision AI to generate descriptive labels and OCR text that improve accessibility for users who rely on screen readers or alternative search methods. This is especially useful for historical records, forms, and image-heavy archives that were not originally created with accessibility in mind.

Business value: Enhances inclusive access to archived content, improves searchability, and supports accessibility initiatives without reworking source records.

8. Retention-driven evidence packaging for investigations and audits

Data flow: Investigation or audit workflow ? Google Vision AI ? OpenText InfoArchive

During audits, legal holds, or internal investigations, Google Vision AI can extract text and identify objects, people, or logos from relevant images and documents. OpenText InfoArchive can store the original files, extracted metadata, and case references in a controlled archive with retention and disposition rules applied according to policy.

Business value: Speeds evidence collection, improves audit readiness, and ensures records are retained according to governance requirements.