Easily extract the
data you need—
from virtually
any document
Organizations looking for a fully managed
service to help with accurately and quickly
extracting data from documents can turn to
Amazon Textract. This service uses machine
learning to automatically extract handwriting,
printed text, and data from scanned documents.
It goes beyond traditional optical character
recognition (OCR) technology—which requires
manual configuration that must be updated each
time a form is changed—by accurately extracting
text, forms, tables, and other data without the
need for any manual effort or custom code.
With Amazon Textract, you can quickly automate
activities across complex documents such as loan
applications, tax documents, enrollment forms,
or medical claims. Once the information from
these documents is captured, you can move into
the next stage of your business process faster—
leading to more productive employees and
happier clients and customers.
Saving nearly a million jobs through faster
business loans
Kabbage, a data and technology company in the financial services
sector, currently provides over 500,000 small businesses with
access to more than $16 billion of working capital. The Paycheck
Protection Program (PPP), a component of the US government's
response to economic struggles related to the COVID-19
pandemic, presented Kabbage with a unique opportunity. But
it also offered a challenge: Kabbage had never issued a small
business administration (SBA) loan before, and it needed a fast,
automated way to process PPP applications.¹
1
https://aws.amazon.com/blogs/machine-learning/how-kabbage-improved-
the-ppp-lending-experience-with-amazon-textract/
KABBAGE
Amazon Textract helped support 80% of Kabbage's
PPP applicants to receive a fully automated lending
experience and reduced approval times from multiple
days to a median speed of four hours. Kabbage
became the second largest PPP lender in the nation
by application volume…serving over 297,000 small
businesses and preserving an estimated 945,000 jobs
across America."
1
Anthony Sabelli, Head of Data Science, Kabbage
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