Organizations process millions of documents daily, from insurance claims and invoices to legal contracts and medical records. While traditional optical character recognition (OCR) solutions extract text, they can’t understand context, relationships, or meaning embedded within complex documents. This limitation creates bottlenecks that require manual intervention, increasing processing time and costs while introducing potential errors.
Amazon Bedrock Data Automation (BDA), provides a unified API experience for extracting meaningful insights from multimodal content, including documents, images, videos, and audio files. Unlike traditional solutions that focus on text extraction, BDA understands document context, validates extracted data, and provides confidence scores for accuracy. BDA processes documents through a pipeline that automates complex tasks including document classification, extraction, normalization, and validation. When a document is submitted, BDA…
