extracting text
and structure information from documents is a core enabling technology for
robotic process automation and workflow automation. Since its preview release
in May 2019, Azure Form Recognizer has attracted thousands of customers to
extract text, key and value pairs, and tables from documents to accelerate
their business processes.
Today, we're
sharing the new Azure online training Form Recognizer
features that are available.
Updates
for Azure Form Recognizer
The Form
Recognizer March release is a major update that includes many new features our
customers have asked for:
·
Customization: The service now
supports training with and without labels, which makes it easier for customers
to reliably extract valuable information from their forms. The APIs have also
been redesigned as long-running operations to improve support for larger
customer data sets. Automatic detection of key value pairs and table extraction
have been enhanced and improved. A new sample labeling tool UX container will
help customers label data more efficiently and extract the values of interest.
In addition, Form
Recognizer Sample Labeling Tool is now available as an open source project
located here. You can integrate it within your solutions and make
customer-specific changes to meet your needs.
·
Layout: We released a new Layout API that is
capable of extracting text and tables from documents with high accuracy optical
character recognition (OCR) results on small texts. It also extracts tables
from arbitrary documents, enabling a very popular application scenario for
document extraction.
Pre-Built
Receipt:
The new version
features major accuracy improvements. Error rates for certain fields like
merchant name, phone number, transaction time, and subtotal have been reduced
by more than 30 percent. We also added support for recognizing tips, receipt
type, and line items, as well as providing confidence values.
Our customers
Acumatica and
Zelros are customers using Azure Form Recognizer and have shared their
experiences with Microsoft.
Learn more on what’s new in Form Recognizer here Azure online training Hyderabad.
Learn more on what’s new in Form Recognizer here Azure online training Hyderabad.
“By automating
expense reporting with Form Recognizer, we can eliminate almost all human
errors which really helps accounting teams streamline approvals and
reimbursement.“ Ajoy Krishnamoorthy, Vice President of Platform and Technology
Acumatica.
Learn more in our
case study with Acumatica here.
“Zelros Documents
2 Insights leverages Form Recognizer to speed up the insurers' and
bancassurers’ underwriting process. Identity card, proof of residence, vehicle
registration document, driving license, and more. Speeding up and simplifying
this business process is key to improve the experience of policyholders. Zelros
Documents2Insights automates the underwriting processes, based on the Cognitive
Services Computer Vision API and built on top of the Form Recognizer feature,
the solution automatically reads and analyzes documents. It also
cross-references information in order to correct and lower the error rate,
while complying with regulatory requirements. With this, we are to process
documents and subscriptions faster.” Fabien Vauchelles, CTO of Zelros
Getting
started
To get started,
please login to the Azure
training Portal to create a Form Recognizer resource. Once your
resource is created you can extract data from your forms by following one of
our Quick start templates:
Custom: Train a
custom model for your forms to extract text, key value pairs, and tables.
thanks for sharing the information.
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