1. Make faster decisions by
automatically extracting and
analyzing data from documents
Your startup contains a treasure trove of insights within your documents waiting
to be leveraged. However, accessing and searching the ever-growing volumes of
information requires manually processing—a costly and cumbersome task for startups.
ML can do the job for you by accessing the information you need within your documents
and providing new insights to inform your business decisions.
Depending on your startup needs, AWS offers three services that can be deployed
individually or combined as building blocks to develop an end-to-end document
processing solution. Amazon Textract automatically extracts handwriting, printed
text, and data from scanned documents. Amazon Comprehend is a natural language
processing (NLP) service that uses ML to find insights and relationships in text. And
Amazon Augmented AI (Amazon A2I) provides built-in human review workflows to ensure
the accuracy of the data.
Quickly and efficiently develop your own ML models for text extraction and analysis
with Amazon SageMaker, a fully managed service that helps business analysts, data
scientists, data engineers, and MLOps engineers prepare data and build, train, and
deploy ML models quickly. This service provides several built-in ML algorithms—such as
BlazingText and Linear Learner—that are optimized for text classification, NLP, and optical
character recognition (OCR).
Read the full story ›
"[Using AWS], we can expand what our
product can do without hiring an expert
in that field. This helps us keep our
team small and agile."
Benny Kao, Product Manager, HelloSign
Solution used:
Amazon Textract
Results:
Decreased form creation time from at least one hour
to an average of 40 seconds
Increased month-over-month growth of form
creation by 26%
Tripled the ratio between the number of new
customers and new forms created
HelloSign transforms PDFs into
mobile-friendly forms.
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