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As you probably know, OCR is the process by which text
images are converted into machine-encoded text.
Digitising text means it can be easily presented, edited,
stored and searched, optimising key administrative tasks
such as invoicing and sales processing.
But how was this technology developed? And in the era
of digitisation, can OCR remain relevant?
The genius of Emanuel Goldberg
OCR traces its roots back to telegraphy. On the eve of the
First World War, physicist Emanuel Goldberg invented a
machine that could read characters and convert them
into telegraph code. In the 1920s, he went a step
further and created the first electronic document
retrieval system.
At this time, businesses were microfilming financial
records — great in principle, but quickly retrieving specific
records from spools of film was nearly impossible. To
overcome this, Goldberg used a photoelectric cell to do
pattern recognition with the help of a movie projector. By
repurposing existing technologies, he took the first steps
toward the automation of record keeping. The U.S. patent
for his “Statistical Machine” was later acquired by IBM.
Martin Edmonds,
Pitney Bowes Business Manager, United Kingdom & Ireland
A brief history of Optical
Character Recognition (OCR)
Explore the past, present and future applications of the unsung hero of the
business world.
For more information on how
Pitney Bowes e-invoicing capabilities
can bring more efficiencies and
savings to your business, contact
Martin Edmonds at +44(0)77125
49318 or martin.edmonds@pb.com
Since then, OCR technology has proliferated, with
businesses all over the world relying on it to help
reduce overheads when it comes to extracting data
from paper documents.
The challenges with OCR
Early versions of OCR had to be trained with images
of each character and were limited to recognising one
font at a time. In the 1970s, inventor Ray Kurzweil
commercialised ‘omni-font OCR’, which could process
text printed in almost any font. As technology advanced,
so did the potential for document reading. By the early
2000s, OCR became available online as a cloud-based
service, accessible via desktop and mobile applications.
Today, there are a host of OCR service providers
offering technology (often accessible via APIs) capable
of recognising most characters and fonts to a high level
of accuracy. Even though the technology continues to
improve, there is always a chance for errors, which
requires costly human intervention to validate
information. Not to mention, the continued use of paper
comes with its own economic and environmental cost.
What has changed?
For decades, OCR was the only way to turn printed paper
documents into machine-readable text documents that
could be processed by computers. It remains the tool of
choice (outside of EDI and invoice portals) for converting
paper invoices into extractable data that can be
integrated into finance systems.
Thankfully, e-document submission now offers businesses
a far superior approach to areas such as invoicing and
sales processing. Automation comes with a variety of
benefits, including lowered costs and the ability to free
up staff to focus on higher value tasks. Going forward,
we expect advances in AI and Machine Learning to
further accelerate the demise of data extraction.
The future of OCR
OCR will continue to be a valuable tool for filling in gaps
when an application-generated electronic document
cannot be created. Ultimately, the truly paperless
business doesn’t (yet) exist and data extraction is still a
useful tool that can augment e-document processing.
That’s why Pitney Bowes has developed a platform to
help clients who are still grappling with paper. It’s an
innovative solution that helps bridge the gap by bringing
together paper and electronic invoicing into the same
processing platform.
Our digital e-invoice processing platform (A Managed
Cloud Service) provides 100% accuracy, guaranteed.
There’s no need for data input, no time wasted and no
costly mistakes. By switching to our solution, you can
remove manual data entry almost entirely and maximise
your inbound processing, creating savings in excess of
80%* within Accounts Payable.
We’ll work with you to configure the platform to your
specific business requirements, so you can be certain
the exact information you need is extracted from your
invoices. The software picks out errors, populates
data into your system and offers you reporting and
analytical information.
Automating the labour-intensive invoice process can
offer substantial savings when it comes to both cost
and time. When your teams are freed up to work on
delivering growth, rather than keying in information,
you’ll uncover the untapped potential you’ve had in
your business all along.
20SENDTECH03935_UK
Pitney Bowes and the Corporate logo are trademarks of Pitney Bowes Inc. or a subsidiary. All other trademarks are the property of their respective owners.
© 2020 Pitney Bowes Inc. All rights reserved.
United Kingdom
07712 549 318
einvoicing@pb.com

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A brief history of Optical Character Recognition (OCR)

  • 1. As you probably know, OCR is the process by which text images are converted into machine-encoded text. Digitising text means it can be easily presented, edited, stored and searched, optimising key administrative tasks such as invoicing and sales processing. But how was this technology developed? And in the era of digitisation, can OCR remain relevant? The genius of Emanuel Goldberg OCR traces its roots back to telegraphy. On the eve of the First World War, physicist Emanuel Goldberg invented a machine that could read characters and convert them into telegraph code. In the 1920s, he went a step further and created the first electronic document retrieval system. At this time, businesses were microfilming financial records — great in principle, but quickly retrieving specific records from spools of film was nearly impossible. To overcome this, Goldberg used a photoelectric cell to do pattern recognition with the help of a movie projector. By repurposing existing technologies, he took the first steps toward the automation of record keeping. The U.S. patent for his “Statistical Machine” was later acquired by IBM. Martin Edmonds, Pitney Bowes Business Manager, United Kingdom & Ireland A brief history of Optical Character Recognition (OCR) Explore the past, present and future applications of the unsung hero of the business world.
  • 2. For more information on how Pitney Bowes e-invoicing capabilities can bring more efficiencies and savings to your business, contact Martin Edmonds at +44(0)77125 49318 or martin.edmonds@pb.com Since then, OCR technology has proliferated, with businesses all over the world relying on it to help reduce overheads when it comes to extracting data from paper documents. The challenges with OCR Early versions of OCR had to be trained with images of each character and were limited to recognising one font at a time. In the 1970s, inventor Ray Kurzweil commercialised ‘omni-font OCR’, which could process text printed in almost any font. As technology advanced, so did the potential for document reading. By the early 2000s, OCR became available online as a cloud-based service, accessible via desktop and mobile applications. Today, there are a host of OCR service providers offering technology (often accessible via APIs) capable of recognising most characters and fonts to a high level of accuracy. Even though the technology continues to improve, there is always a chance for errors, which requires costly human intervention to validate information. Not to mention, the continued use of paper comes with its own economic and environmental cost. What has changed? For decades, OCR was the only way to turn printed paper documents into machine-readable text documents that could be processed by computers. It remains the tool of choice (outside of EDI and invoice portals) for converting paper invoices into extractable data that can be integrated into finance systems. Thankfully, e-document submission now offers businesses a far superior approach to areas such as invoicing and sales processing. Automation comes with a variety of benefits, including lowered costs and the ability to free up staff to focus on higher value tasks. Going forward, we expect advances in AI and Machine Learning to further accelerate the demise of data extraction. The future of OCR OCR will continue to be a valuable tool for filling in gaps when an application-generated electronic document cannot be created. Ultimately, the truly paperless business doesn’t (yet) exist and data extraction is still a useful tool that can augment e-document processing. That’s why Pitney Bowes has developed a platform to help clients who are still grappling with paper. It’s an innovative solution that helps bridge the gap by bringing together paper and electronic invoicing into the same processing platform. Our digital e-invoice processing platform (A Managed Cloud Service) provides 100% accuracy, guaranteed. There’s no need for data input, no time wasted and no costly mistakes. By switching to our solution, you can remove manual data entry almost entirely and maximise your inbound processing, creating savings in excess of 80%* within Accounts Payable. We’ll work with you to configure the platform to your specific business requirements, so you can be certain the exact information you need is extracted from your invoices. The software picks out errors, populates data into your system and offers you reporting and analytical information. Automating the labour-intensive invoice process can offer substantial savings when it comes to both cost and time. When your teams are freed up to work on delivering growth, rather than keying in information, you’ll uncover the untapped potential you’ve had in your business all along. 20SENDTECH03935_UK Pitney Bowes and the Corporate logo are trademarks of Pitney Bowes Inc. or a subsidiary. All other trademarks are the property of their respective owners. © 2020 Pitney Bowes Inc. All rights reserved. United Kingdom 07712 549 318 einvoicing@pb.com