Home | Connectors | OpenText Core Capture Services | OpenText Core Capture Services - Google Document AI Integration and Automation
OpenText Core Capture Services and Google Document AI can work together to improve document intake, classification, extraction, and downstream processing across finance, operations, customer service, and compliance teams. OpenText Core Capture Services is strong in enterprise capture workflows, document routing, and integration with business systems, while Google Document AI adds advanced AI-based document understanding, OCR, and extraction for complex or high-volume content. Together, they can reduce manual handling, improve data accuracy, and accelerate exception resolution.
Data flow: OpenText Core Capture Services to Google Document AI, then back to OpenText Core Capture Services
Invoices received through email, scan, or supplier portals are first ingested by OpenText Core Capture Services, which classifies them by document type and routes them for AI extraction. Google Document AI extracts invoice fields such as supplier name, invoice number, line items, tax, and totals, including data from semi-structured or low-quality documents. The extracted data is returned to OpenText Core Capture Services for validation, approval routing, and posting to ERP systems such as SAP or Oracle.
Business value: Reduces manual invoice entry, improves straight-through processing, and shortens invoice cycle times.
Data flow: OpenText Core Capture Services to Google Document AI
Incoming mail, scanned correspondence, and PDF attachments are captured in OpenText Core Capture Services and sent to Google Document AI for deeper content analysis. Google Document AI identifies document intent, key entities, and contextual meaning, such as claims, complaints, legal notices, or service requests. OpenText Core Capture Services then uses the classification results to route documents to the correct department, case queue, or workflow.
Business value: Speeds up mail distribution, reduces misrouting, and improves response times across shared service teams.
Data flow: Bi-directional
During customer onboarding, OpenText Core Capture Services collects identity documents, application forms, proof of address, and supporting paperwork. Google Document AI extracts and normalizes data from these documents, including names, addresses, registration numbers, and form responses. OpenText Core Capture Services compares extracted data against onboarding rules, flags missing or inconsistent information, and sends exceptions to operations or compliance teams for review.
Business value: Improves onboarding speed, reduces rework, and strengthens compliance checks for regulated industries.
Data flow: OpenText Core Capture Services to Google Document AI, then to claims workflow systems
Insurance claims, medical forms, repair estimates, and supporting evidence are captured in OpenText Core Capture Services and sent to Google Document AI for extraction of claim numbers, policy details, dates, amounts, and incident descriptions. The structured output is then passed into claims management systems and workflow queues for adjuster review, fraud screening, and settlement processing.
Business value: Accelerates first notice of loss processing, improves data consistency, and reduces manual indexing effort.
Data flow: OpenText Core Capture Services to Google Document AI
Contracts, amendments, NDAs, and legal correspondence are ingested by OpenText Core Capture Services and forwarded to Google Document AI for clause identification, entity extraction, and document summarization. OpenText Core Capture Services uses the extracted metadata to classify documents by agreement type, counterparty, renewal date, and risk category, then routes them to legal, procurement, or compliance teams.
Business value: Improves contract visibility, supports faster review cycles, and helps teams identify obligations and renewal deadlines.
Data flow: OpenText Core Capture Services to Google Document AI, then to master data systems
Supplier registration packets, W-9 or W-8 forms, banking documents, and certificates are captured in OpenText Core Capture Services. Google Document AI extracts tax identifiers, legal entity details, banking information, and certification data. The validated output is then used to create or update supplier master records in procurement or ERP systems, with exceptions routed to vendor management teams.
Business value: Reduces supplier setup delays, improves master data quality, and supports compliance with tax and procurement controls.
Data flow: OpenText Core Capture Services to Google Document AI, then back to OpenText Core Capture Services
When OpenText Core Capture Services encounters documents with poor scan quality, unusual layouts, or mixed content, it sends them to Google Document AI for enhanced OCR and contextual extraction. Google Document AI returns confidence scores and extracted fields, which OpenText Core Capture Services uses to trigger human review only for low-confidence items. This creates a controlled exception workflow for operations teams.
Business value: Increases automation rates while limiting manual review to the most difficult cases.
Data flow: Google Document AI to OpenText Core Capture Services
Historical documents stored in archives or repositories can be processed by Google Document AI to extract metadata, entities, and document structure. OpenText Core Capture Services then uses this enriched metadata to improve indexing, searchability, retention tagging, and downstream retrieval workflows. This is especially useful for legacy migration projects and compliance archives.
Business value: Makes legacy content easier to search, improves records governance, and supports faster audit response.
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