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Amazon Bedrock Data Automation review

#28 of 28 in AI Agent Evaluation ToolsTool CallingAi Agent AutomationHeadless Browser APIs+2 more

A capable multimodal extraction API, but not an agent evaluation tool.

6.0/10Editor score
Amazon Bedrock Data Automation6.0 Visit AWS

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Amazon Bedrock Data Automation is an AWS cloud service for extracting structured information from documents, images, video, and audio. It is designed for developers and teams building document processing, media analysis, and multimodal retrieval-augmented generation workflows through an API. Standard outputs cover all four media types, while custom outputs use blueprints. Projects help organize output configurations, and the service connects with Amazon Bedrock Knowledge Bases.

Pricing is usage-based and varies by modality and output type. Custom Output for images costs $0.005 per image and supports up to 30 fields. Custom Output for documents costs $0.04 per page, also with up to 30 fields. Knowledge Bases integration with standard output costs $0.01 per page. Standard Output for video costs $0.05 per minute, while Standard Output for audio costs $0.006 per minute. This structure suits workloads that need costs to follow processed volume, but budgeting requires estimating image, page, and media-minute usage separately.

Its strongest fit is multimodal extraction: document classification, extraction, normalization, validation, video scene summaries, audio transcription, visual grounding, and confidence scores are all included among the capabilities. The service can also support Amazon Bedrock Knowledge Bases workflows. However, its published feature set is focused on data automation rather than evaluating AI agents. Teams looking for agent-evaluation methods, tool checks, traces, or regression runs should choose a dedicated agent evaluation product instead. Pick Amazon Bedrock Data Automation when structured content extraction is the priority; do not pick it as the primary tool for measuring agent behavior.

Amazon Bedrock Data Automation pros and cons

  • Where it wins
    • Supports documents, images, video, and audio processing
    • Blueprints enable custom extraction for up to 30 fields
    • Integrates with Amazon Bedrock Knowledge Bases
  • Where it doesn't
    • No verified agent-evaluation methods or regression runs
    • API-only access may not suit non-developer teams
    • Usage pricing varies by modality and output type

Amazon Bedrock Data Automation fact sheet, pricing and score →

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