With a global intrigue, Artificial Intelligence (AI) is attracting strides of investment and opportunities from tech giants around the world. As an expansive cloud computing powerhouse, Amazon is resizing the potential of AI and machine learning (ML) with products like AWS Textract. In this article, Oodles AI, an emerging provider of AWS Consulting services , demonstrates how document analysis with AWS Textract automates critical data interpretation processes.
What is AWS Textract?
AWS Textract is an Amazon cloud service product that facilitates the extraction of text and structured data from scanned documents. It is backed by computer vision and deep learning technologies to parse through voluminous and complex datasets and derive actionable insights. The web service includes easy-to-use APIs such as Amazon Textract Text Detection API that does not require machine learning expertise to operate.
In the words of Swami Sivasubramanian, VC, Amazon Machine Learning,
“The rich partner community developing around Amazon Textract makes it possible for customers to gain real meaning from their file collections, operate more efficiently, improve security compliance, automate data entry, and facilitate faster business decisions.”
How Can Businesses Deploy AWS Textract?
For enterprises, deploying AWS Textract simplifies routine data extraction processes with the power of artificial intelligence services . Businesses aiming to build a cloud-based automated document analysis infrastructure can deploy AWS Textract with the following pre-requisites-
a) Two S3 buckets for storing and transporting files within AWS
b) Integration of S3 with Lambda to invoke Textract whenever a new file is uploaded
c) A functional SNS (Simple Notification Service) topic to receive notifications about the task status and .txt object to S3 bucket
d) Linking of an IAM role to the Lambda function for granting permissions to Textract and S3 buckets
The entire process of basic text and data extraction with AWS Textract and Lambda is demonstrated by Solutions Architect, Riccardo Padovani as below-
Besides Lambda, businesses can integrate AWS Textract with other analytics services like Elasticsearch, DynamoDB, Comprehend, and SageMaker to extract deeper and accurate meaning from text.
Business Applications of Document Analysis with AWS Textract
1) Single and Multi-column Text Detection
AWS Textract is significantly efficient at extracting text from poor quality scanned images. The model can process plain and multi-column textual inputs to provide structured data responses in JSON format. In contrast to traditional OCR systems with a left to right reading format, Textract easily adjusts to multi-column formats for accurate data extraction.
For instance, for a sample multi-column image as below-
With a few lines of code, document analysis with AWS Textract for such unstructured inputs generates the following output-
Textract’s ability to extract text from unstructured layouts is quite useful for businesses dealing with a prodigious amount of applications including-
a) Loan applications
b) Admission or registration forms
c) Medical records and documents
d) Public interest litigation forms
e) Survey documents and market research files
f) Insurance applications, and more.
2) NLP for Sentiment Analysis
NLP or Natural Language Processing is gaining steam with algorithmic advancements to generate deeper insights for businesses. Document analysis with AWS Textract can be integrated with AWS Comprehend for extended business capabilities such as-
a) Sentiment analysis
b) Entity extraction
c) Key phrase and topic recognization
In addition to offline documents, AWS Textract algorithms can be channelized toward digital data extraction from business emails, customer reviews, social media images, etc. The AI solution empowers businesses to dive deeper into their customer needs and preferences and provide enhanced experiences.
How Oodles AI Employed AWS Textract for Research Paper Analysis
Oodles AI is emerging as a competent innovation center for artificial intelligence solutions at the enterprise scale. We are constantly exploring emerging technologies and third-party AI environments to build business-oriented AI and ML solution.
Learn more: Business Document Analysis with AWS Textract