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Intelligent Document Processing

Artificial Intelligence (AI) can automate document processing for forms such as KYC forms, tax documents, and SEC filings by combining Optical Character Recognition (OCR) and Natural Language Processing (NLP) to read and understand a document and extract specific terms or words. Using AI can help reduce manual efforts and discover insights in your documents so you can process documents faster and with higher accuracy.

Amazon Intelligent document processing delivers 73% ROI.

Drive higher business efficiency and faster decision making while reducing costs

Amazon Textract

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, layout elements, and data from scanned documents. Textract uses ML to read and process any type of document, accurately extracting text, handwriting, tables, and other data with no manual effort. You can use one of our pretrained or custom features to quickly automate document processing, whether you’re automating loans processing or extracting information from invoices and receipts. Textract provides you the ability to customize our pretrained features to meet the document processing needs specific to your business. Textract can extract the data in minutes instead of hours or days.

Introduction Textract

Automatically extract printed text, handwriting, layout elements, and data from any document

Introduction Rekognition

Automate and lower the cost of your image recognition and video analysis with machine learning

Amazon Rekognition

Amazon Rekognition is a cloud-based computer vision service that uses deep learning to analyze images and videos. It offers a range of features, including object and scene detection, facial analysis and recognition, text extraction, and content moderation. Developers can integrate Rekognition into their applications through an API, enabling them to add intelligent image and video analysis capabilities without requiring deep expertise in machine learning. Common use cases include user authentication, sentiment analysis, searchable media repositories, content moderation, visitor analytics, and visual effects in media production.

Augmented AI

Amazon Augmented AI (A2I) is a service that seamlessly integrates human judgment and review into machine learning (ML) applications, ensuring enhanced accuracy and reliability. With A2I, businesses can implement customizable human reviews and audits of ML predictions based on their specific requirements, including support for multiple reviewers. This allows organizations to leverage the power of human expertise to validate and refine ML outputs. A2I offers prebuilt workflows that enable faster time-to-market, while also providing the ability to continuously retrain models based on human feedback, resulting in improved performance over time. By combining the strengths of human intelligence and machine learning, Amazon A2I empowers organizations to build more accurate, trustworthy, and robust ML-driven solutions.

Introduction A2I

Implement human review of ML predictions

Introduction Comprehend

Derive and understand valuable insights from text within documents


Amazon Comprehend is a powerful natural language processing (NLP) service that harnesses the power of machine learning to extract valuable insights and connections from various text sources, including documents, customer support tickets, product reviews, emails, and social media feeds. This service simplifies document processing workflows by automatically extracting key information such as text, key phrases, topics, sentiment, and more, enabling businesses to quickly derive meaningful insights from their data. Amazon Comprehend also allows users to train custom models for document classification and term identification, without requiring any machine learning experience. Additionally, the service offers features to protect sensitive data by identifying and redacting personally identifiable information (PII) from documents, ensuring data privacy and compliance. 


Amazon SageMaker is a fully managed machine learning platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. SageMaker provides a comprehensive set of tools and services for the entire machine learning workflow, from data preparation and model building to training and deployment. One of the key features of SageMaker is its ability to simplify the process of getting started with machine learning. SageMaker JumpStart provides a set of pre-built solutions for common use cases, allowing users to deploy models with just a few clicks. This makes it easier for businesses to leverage machine learning without requiring extensive expertise.SageMaker offers a broad range of capabilities purpose-built for machine learning, enabling users to prepare, build, train, and deploy high-quality models quickly. 

Introduction SageMaker

Build, train, and deploy machine learning models for any use case with fully managed infrastructure, tools, and workflows.

Intelligent Document Processing Pipeline

Data Capture

Aggregating and organizing documents from different business workflow(s) within your organization


If more than one document type then classify each document and send to the appropriate document pipeline

Extraction & Enrichment

Extract key business information &  Getting insights and business value from your data

Review & Validation

Run business rules on your data and/or include human in the loop validation as needed

Ready for Business Decision

Send information to downstream apps or databases

What Clients Say


Reddi Gudla, Staff Vice President

We hope technologies like Amazon Textract will help Anthem become a digital-first organization.
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