Azure Computer Vision - OpenText InfoArchive Integration and Automation

Common Integration Use Cases Between Azure Computer Vision and OpenText InfoArchive

Azure Computer Vision and OpenText InfoArchive complement each other well in enterprise environments where visual content, scanned documents, and compliance-driven retention must be managed together. Azure Computer Vision extracts meaning from images and documents, while OpenText InfoArchive preserves the resulting records, metadata, and supporting content in a compliant archive for long-term retention and auditability.

1. Automated archiving of scanned records with OCR-derived metadata

Data flow: Azure Computer Vision to OpenText InfoArchive

• Scan paper invoices, contracts, claims forms, or HR documents using Azure Computer Vision OCR.
• Extract key fields such as document type, dates, names, invoice numbers, and reference IDs.
• Pass the extracted text and metadata into OpenText InfoArchive for compliant retention and indexing.
• Enable records teams and auditors to retrieve archived documents by business attributes instead of file names.

Business value: Reduces manual indexing effort, improves searchability, and ensures critical documents are retained with the right metadata for regulatory review.

2. Archiving customer-submitted images with compliance metadata

Data flow: Azure Computer Vision to OpenText InfoArchive

• Use Azure Computer Vision to analyze customer-uploaded photos from claims, warranty, or service portals.
• Capture image classification, detected objects, visible text, and quality indicators such as blur or low resolution.
• Store the original image and analysis metadata in OpenText InfoArchive as part of the official case record.
• Support downstream legal, compliance, and customer service teams with a complete evidence trail.

Business value: Preserves visual evidence in a governed archive while making case review faster and more defensible.

3. Retention of moderated brand and social media assets

Data flow: Azure Computer Vision to OpenText InfoArchive

• Analyze social media images, campaign assets, or user-generated content with Azure Computer Vision to detect logos, objects, and potentially inappropriate content.
• Route approved or flagged assets into OpenText InfoArchive with moderation results and campaign context.
• Retain content according to marketing, legal, or brand governance policies.
• Provide compliance teams with a historical record of what was published, reviewed, or rejected.

Business value: Strengthens brand governance and creates a defensible archive for content review and dispute resolution.

4. Legacy system decommissioning with enriched document archives

Data flow: Azure Computer Vision to OpenText InfoArchive

• During legacy application retirement, extract text from stored images, PDFs, and scanned attachments using Azure Computer Vision.
• Normalize and enrich records with searchable metadata before loading them into OpenText InfoArchive.
• Preserve access to historical documents after the source system is shut down.
• Allow business users to retrieve archived records without maintaining the old application.

Business value: Lowers infrastructure and support costs while reducing risk during system sunset programs.

5. Compliance archiving of identity and onboarding documents

Data flow: Azure Computer Vision to OpenText InfoArchive

• Process passports, licenses, tax forms, and onboarding documents through Azure Computer Vision OCR.
• Extract identity attributes, expiration dates, and document classifications.
• Archive the documents and extracted metadata in OpenText InfoArchive under retention policies aligned to HR, KYC, or AML requirements.
• Support audit teams with quick retrieval of evidence for employee or customer verification.

Business value: Improves compliance handling for sensitive records and reduces manual review workload.

6. Archiving product and inspection images for quality and traceability

Data flow: Azure Computer Vision to OpenText InfoArchive

• Use Azure Computer Vision to analyze manufacturing or warehouse images for product identification, defects, or label text.
• Attach inspection results, timestamps, and batch identifiers to the image record.
• Store the image and metadata in OpenText InfoArchive for long-term traceability and audit support.
• Enable quality, operations, and compliance teams to review historical inspection evidence.

Business value: Creates a durable quality record and supports investigations, recalls, and regulatory audits.

7. Accessible archive of visual records with searchable descriptions

Data flow: Azure Computer Vision to OpenText InfoArchive

• Generate alt-text, captions, and OCR text for archived images and scanned documents using Azure Computer Vision.
• Store the enriched descriptions in OpenText InfoArchive alongside the original files.
• Allow legal, records management, and business users to search archived content by descriptive text.
• Improve accessibility for users who rely on text-based navigation and screen readers.

Business value: Enhances archive usability, accessibility, and discoverability without manual description work.

8. Evidence preservation for investigations and dispute management

Data flow: Bi-directional, with Azure Computer Vision to OpenText InfoArchive and OpenText InfoArchive to Azure Computer Vision

• Ingest photos, screenshots, and scanned correspondence into Azure Computer Vision for text extraction and content classification.
• Archive the original evidence and extracted metadata in OpenText InfoArchive with legal hold or retention controls.
• When investigators need to review archived evidence, retrieve it from OpenText InfoArchive and reprocess selected items through Azure Computer Vision for updated OCR or classification.
• Support legal, compliance, and fraud teams with a controlled evidence lifecycle.

Business value: Improves case handling, preserves chain of custody, and ensures evidence remains accessible over time.