Skip to main content
Cloud / AWS / Products / Amazon Bedrock Data Automation - Structure Data

Amazon Bedrock Data Automation - Structure Data

Amazon Bedrock Data Automation turns documents, images, audio, and video into structured outputs via API: for IDP, media analysis, and RAG.

Machine Learning
Pricing Model Pay-per-use (per page / per image / per minute)
Availability Multiple regions incl. EU (Frankfurt, Ireland, London)
Data Sovereignty EU regions available
Reliability N/A SLA

What is Amazon Bedrock Data Automation?

Amazon Bedrock Data Automation (BDA) is a managed, API-driven capability of Amazon Bedrock that transforms unstructured multi-modal content into structured outputs. The service processes documents, images, video, and audio through a single interface, using generative AI to do so. Instead of integrating, running, and orchestrating several specialized AI models on your own, BDA delivers this processing as a managed service.

In many organizations, business-relevant information sits in formats that cannot be processed directly: scanned documents, invoices, contracts, product images, or media files. Amazon Bedrock Data Automation solves this problem by converting such content into machine-readable, structured data that integrates into existing systems and workflows. Built-in trust safeguards such as visual grounding and confidence scores increase the traceability and reliability of the extracted results.

Core Features

  • Intelligent document processing: BDA automates IDP workflows at scale, including classification, extraction, normalization, and validation, without manually orchestrating complex processing chains.
  • Media analysis for video and audio: The service creates scene summaries, extracts text that appears in video, detects unsafe or explicit content, and classifies content by advertisements or brands, with logo detection for more than 35,000 logos.
  • Standard Output and Custom Output: BDA delivers predefined standard outputs or customizable results through blueprints, which let you tailor fields and structures to your own requirements.
  • Trust safeguards: Visual grounding and confidence scores make extraction results verifiable and support use in business-critical processes.

Typical Use Cases

Intelligent document processing: Invoices, contracts, forms, and scanned documents are classified, relevant fields are extracted, normalized, and validated. The structured outputs flow directly into ERP, DMS, or accounting systems.

Media analysis: Video and audio content is enriched with scene summaries, text extraction, and brand or logo detection. This enables intelligent video search, contextual ad placement, and brand safety and compliance.

Enriching RAG assistants: BDA provides AI assistants with rich, modality-specific data representations from documents, images, video, and audio, improving the answer quality of RAG-powered question answering applications.

Benefits

  • A single API for four modalities reduces integration effort and removes the burden of orchestrating multiple models.
  • Usage-based billing per page, image, or minute with no upfront costs makes spending predictable.
  • EU regions and security features such as KMS customer managed keys and AWS PrivateLink support data protection and governance.

Integration with innFactory

As an AWS Reseller, innFactory supports you with the adoption and operation of this service.

Typical Use Cases

Intelligent document processing (IDP): classification, extraction, validation
Media analysis of video and audio: scene summaries, text extraction, logo detection
Enriching RAG-based AI assistants with multi-modal data
Detecting unsafe or explicit content for brand safety and compliance

Frequently Asked Questions

What is Amazon Bedrock Data Automation?

Amazon Bedrock Data Automation (BDA) is a managed, API-driven capability of Amazon Bedrock. It uses generative AI to transform unstructured multi-modal content such as documents, images, video, and audio into structured outputs through a single interface. This removes the need to manually orchestrate multiple AI models and services.

When should I use Amazon Bedrock Data Automation?

BDA fits three core scenarios: intelligent document processing (IDP) at scale with classification, extraction, normalization, and validation; media analysis of video and audio such as scene summaries, text-in-video extraction, and logo detection; and enriching RAG applications with rich, modality-specific data representations.

How much does Amazon Bedrock Data Automation cost?

BDA is billed on a pay-per-use basis per processed unit depending on the media type: per document page, per image, per audio minute, or per video minute. Custom Output with your own blueprints is priced higher than Standard Output. There are no upfront costs or minimum commitments. Current prices are available on the official Bedrock pricing page.

Is Amazon Bedrock Data Automation available in the EU?

Yes. In addition to US regions, BDA is available in several EU regions, including Europe (Frankfurt), Europe (London), and Europe (Ireland), so data can be processed within the EU. For security and governance, the service supports AWS KMS customer managed keys, AWS PrivateLink for VPC connectivity, resource tagging, and cross-region inference.

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 AWS (official documentation). This page does not represent an offer by AWS.

AWS Cloud Expertise

innFactory is an AWS Reseller with certified cloud architects. We provide consulting, implementation, and managed services for AWS.

Similar Products from Other Clouds

Other cloud providers offer comparable services in this category. As a multi-cloud partner, we help you choose the right solution.

STACKIT

STACKIT AI Model Experiments: Managed MLflow

STACKIT AI Model Experiments: managed MLflow for experiment tracking, LLM tracing, and EU AI Act audit trails on EU …

Pricing Public Preview: service itself free, …
Compare →
STACKIT

STACKIT AI Model Serving: Sovereign LLMs

STACKIT AI Model Serving: Run open-weight LLMs like Llama, Qwen, and GPT-OSS GDPR-compliant from German data centers, …

Pricing Pay-as-you-go per token (input/output)
SLA Runs on the data-sovereign STACKIT Cloud
Compare →
STACKIT

STACKIT Dremio - Sovereign Data Lakehouse

STACKIT Dremio: managed data lakehouse based on Dremio for SQL queries without data movement. GDPR-compliant, public …

Pricing Public preview; unified billing via …
SLA SLA as published by the provider; the service is currently in public preview
Compare →
STACKIT

STACKIT Intake - Data Ingestion for the Data Lakehouse

STACKIT Intake: managed data ingestion via the Kafka protocol directly into Apache Iceberg tables for the STACKIT Data …

Pricing Capacity-based; capacity is configured …
SLA SLA as published by the provider
Compare →
STACKIT

STACKIT Notebooks - Managed JupyterHub

STACKIT Notebooks: managed JupyterHub/JupyterLab for data science and ML in German and Austrian data centers.

Pricing Pay-per-use (compute resources of the …
SLA SLA as published by the provider
Compare →
STACKIT

STACKIT Workflows - Managed Apache Airflow

STACKIT Workflows is a managed workflow orchestration service built on Apache Airflow for data pipelines and ML …

Pricing Pay-per-use
SLA SLA as published by the provider
Compare →

86 comparable products found across other clouds.

Ready to start with Amazon Bedrock Data Automation - Structure Data?

Our certified AWS experts help you with architecture, integration, and optimization.

Schedule Consultation