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Document AI - Intelligent Document Processing

Document AI automatically extracts structured data from documents like invoices, contracts, and forms on Google Cloud.

AI/ML
Pricing Model Billed per processed page, tiered by processor type
Availability Global with EU regions
Data Sovereignty EU regions available
Reliability SLA as published by the provider SLA

What is Document AI?

Document AI is Google’s platform for intelligent document processing. The service transforms unstructured data from documents into structured, machine-readable data using machine learning and Optical Character Recognition (OCR). Instead of manual data entry, invoices, contracts, and forms are automatically parsed. Document AI is a mature, generally available (GA) service within Google Cloud’s AI portfolio.

Core Features

  • Specialized, pre-trained processors for invoices, IDs, lending documents, and other document types
  • Optical Character Recognition (OCR) for printed and handwritten text
  • Automatic document type classification
  • Trainable Custom Processors via Document AI Workbench for proprietary document formats
  • Batch processing of large document volumes

Typical Use Cases

Invoice Automation: Automatic extraction of invoice number, date, amounts, vendor information, and line items. Integration with ERP systems for end-to-end processes.

Know Your Customer (KYC): Identity verification through automatic parsing of IDs and passports. Comparison of extracted data with application information for fraud prevention.

Contract Management: Analysis of contracts to extract terms, termination dates, parties, and key clauses. Support for due diligence processes.

Benefits

  • Significant reduction of manual data entry
  • Consistent processing with fewer human errors
  • Scaling from single documents to large volumes
  • Fast integration via REST API and client libraries

Integration with innFactory

As a certified Google Cloud partner, innFactory supports you with Document AI: processor selection, Custom Processor training, business process integration, and extraction quality optimization.

Available Tiers & Options

Custom Processors

Strengths
  • Trainable on custom document types via Document AI Workbench
  • Higher accuracy for special cases
Considerations
  • Requires training data
  • Longer setup time

Typical Use Cases

Invoice processing
Identity verification
Contract analysis
Form processing

Frequently Asked Questions

What document types can Document AI process?

Document AI offers specialized processors for invoices, receipts, IDs, passports, lending documents, and general forms. Custom Processors can be trained for special cases using the Document AI Workbench.

How accurate is data extraction?

Pre-trained processors achieve high accuracy for standard documents, which varies by document type and quality. Custom Processor accuracy additionally depends on the amount and quality of training data.

Can Document AI recognize handwritten text?

Yes, Document AI supports OCR for printed and handwritten text. Recognition quality for handwriting varies based on legibility and document quality.

How is Document AI billed?

Billing is per processed page, typically tiered by price per 1,000 pages. Prices differ by processor type, such as OCR, extraction, and pre-trained processors.

Is Document AI GDPR compliant?

Yes, Document AI can run in EU regions. Documents are used for processing and, according to Google, are not used to train its general-purpose models.

Note: All product information on this page has been compiled with care, but is provided without guarantee and may be outdated or incomplete. Cloud services evolve rapidly — features, pricing, SLAs, and availability change frequently. Authoritative and up-to-date information can only be found on the official product page of Google Cloud (official documentation). This page does not represent an offer by Google Cloud.

Google Cloud Partner

innFactory is a certified Google Cloud Partner. We provide expert consulting, implementation, and managed services.

Google Cloud Partner

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