Doc AI on GCP – Solution Flow
Google Cloud DocAI Solution - Steps & Services
Google Cloud’s Document AI (DocAI) provides pre-trained processors and a platform to extract structured data from documents such as invoices, receipts, forms, PDFs, images, and contracts.
1. Ingest Documents
Collect documents from various sources:
- Cloud Storage (GCS) — primary input location for PDF/image documents
- Cloud Pub/Sub — event triggers for new files
- Cloud Functions / Cloud Run — serverless logic to preprocess input
Steps:
- Upload documents (PDF, TIFF, JPEG, PNG) to a GCS bucket.
- Optionally trigger a workflow when a new file arrives (Pub/Sub → Cloud Function).
2. Select or Build a Processor
DocAI uses processors to extract structured data. You must create or configure one.
Types of Processors
- Pre-trained processors: Invoice Parser, Procurement Doc Parser, Contract Parser, OCR, Form Parser, W9, 1099, Paystubs, Identity docs
- Custom Extractor: Train your own processor using labeled samples for highly custom documents
Services involved
- Document AI Workbench
- Automl Document Extraction (for custom models)
3. Process Documents
Send documents to DocAI for extraction.
- Document AI API — core OCR/extraction engine
- Cloud Run / Cloud Functions — wrapper to call API
- Workflows — orchestrate multi-step pipelines
Step: Your code sends the GCS file reference to the processor; DocAI returns structured JSON with entities, fields, tables, and OCR text.
4. Post-Processing and Data Validation
- Dataflow (Apache Beam) — large-scale transformations
- Cloud Run — light transformation logic
- Workflows — orchestrate multi-step pipelines
Common actions include normalizing fields, validating data, applying business rules, and joining datasets.
5. Store Extracted Results
- BigQuery — structured analytics and warehousing
- Firestore / Cloud SQL — operational storage
- Cloud Storage — raw JSON and original docs
6. Build Search, Display, or Workflow
- Vertex AI Search & Conversation — enterprise search with embeddings
- App Engine / Cloud Run UI — document review interface
- Looker / Looker Studio — dashboards
- Workflows + Pub/Sub — approval/processing flows
7. Monitoring & Governance
- Cloud Monitoring — metrics
- Cloud Logging — document-level logs
- Cloud IAM — secure access control
- Audit Logs — compliance
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