What’s New In OCR Data Capture?

New OCR technology continues to raise the bar for workflow efficiency. We’re excited to highlight the most impactful developments in this space, and to share how and why they can benefit your bottom line.

Improved self-teaching

Several iterations of OCR data capture software have incorporated self-teaching capabilities. We’re now seeing this feature extended to irregular documents, meaning that users can train the software to detect inconsistent fields with less and less supervision. The result is even more hands-off oversight of a wider range of document types.

Benefit: Lower system maintenance, plus higher accuracy and quicker improvement on the most challenging documents

More sophisticated classification techniques

A key task of document capture software is to identify document types and handle them accordingly. This has usually relied on textual similarities, e.g., identifying an invoice because it contains an “Invoice #” field in the header. At the cutting edge of automated document classification, it’s also possible to use artificial intelligence to identify visual similarities between documents. This is similar to, but much faster than, the way a human reader might correctly sort forms by appearance.

Benefit: Visual and text-based approaches together yield quicker, more accurate, and more nuanced classification of a wider range of documents

SLA support & advanced monitoring

Sometimes the business impact of intelligent data capture is intuitively obvious yet difficult to quantify. To facilitate better measurement, OCR tools can now uphold predefined service level agreements, track processing stats, and even generate reports and dashboards.

Benefit: Enforce and demonstrate SLA fulfillment while quickly, easily supporting ROI calculations

Multitenancy

Granular configurations and permissions are essential for large organizations and/or complex use cases, but can be challenging to manage on an enterprise scale. Lately, document capture vendors have addressed this through multitenant architecture: in layman’s terms, it’s the ability to set up isolated app environments yet manage them centrally.

Benefit: The flexibility and security of endless personal licenses, paired with the simplicity of central management

Document set management

Scenarios like financial applications or insurance claims usually require a set of related documents in order to complete the process. By automatically checking metadata like the completeness of a document set—and even summarizing it automatically—OCR software now helps ensure that staff time is focused only on complete, ready-to-go “packages” of documents.

Benefit: Higher workflow efficiency through early, automated detection of incomplete documents

Greater mobile & cross-browser support

As data capture accuracy and speed have improved, they’ve become all the more valuable to users on the go. Improvements to mobile and web OCR clients make it easier for anyone, anywhere to send critical business documents to a capture workflow.

Benefit: Expanded user flexibility with virtually no constraints on technology, time, or place


Even as OCR data capture software evolves in exciting ways, its fundamental value remains constant. Replacing manual data entry with an automated capture workflow cuts costs, reduces errors, and speeds up revenue. This holds true for SMBs, branch offices, and large enterprises alike. After all, manual data capture is inefficient in any organization!

To learn more about how the latest advanced in OCR can help your own team, please contact Paperless Productivity® today.

From Data Capture To Knowledge Capture With ABBYY.cloud

This article is the first in a short series on natural language processing (NLP) technology and its role in document processing. Over the coming weeks, we’ll continue digging into the innovation behind ABBYY NLP software and some specific business problems that it promises to address.

How ABBYY.cloud Will Change The Way You Manage Information

If you’ve implemented ABBYY OCR software before, you’re acquainted with the accuracy, cost reduction, and simplicity that come from automating data capture. You’ve also wondered what might come next. What could help you automate higher up the value chain, moving from data capture to knowledge capture?

In recent weeks, ABBYY Software has made this next step a reality with the introduction of its ABBYY.cloud solution. By tackling difficult business problems with NLP and AI tools, ABBYY.cloud addresses three challenges that span industries.

1. Classification of any document

Invoices may be accompanied by slips of paper with critical notes. Customers might send screenshots and tweets. Partners provide tables that need to go in a spreadsheet or database. And all of these things require extended manual input to decipher–let alone act on.

We’d all love it if documents filed in neatly, then told us what they are and what we should do with them. But in real life, document intake looks less like a parade and more like a stampede. ABBYY.cloud leverages natural language processing (NLP) technology to classifying incoming documents on the fly, allowing your staff to spend less time filing and more time thinking.

2. Aggregation & deep analytics for customer feedback

A perennial challenge in customer analytics is identifying trends from such disparate sources as feedback forms, social media, surveys, letters, emails, and so forth. It’s tough just to get through that much content, but actually comprehending and summarizing it is a whole other challenge.


ABBYY Natural Language Processing For Document Knowledge Capture

ABBYY.cloud reads text much like you and I, but at speeds we can’t even fathom. The combination of NLP innovation and high-performance cloud architecture pulls sentiments and suggestions from millions of customer comments every second, revealing a depth and breadth of feedback that was previously inaccessible.

3. Extraction of knowledge from unstructured text

Speaking of classification and comprehension, ABBYY.cloud does not require consistently formatted, structured data. Quite the opposite: because of its ability to understand meaning and relationships within and between texts, it perceives the latent “structure” of unstructured content and processes it accordingly. This enables knowledge workers to gain deeper, faster insights into challenging and unpredictable data sources.


Information Representation In ABBYY.cloud Natural Language Processing Software

The Role Of NLP In Document Automation

In a sense, natural language processing helps fulfill the automation path that optical character recognition (OCR) began. Of course ABBYY.cloud retains the features that its developer is known for:

  • OCR data capture and document conversion
  • ERP-integrated invoice processing automation
  • Scalable, on-the-fly translation between all major languages

…all in a single, user-friendly dashboard. The real magic, however, is in empowering a content-weary organization to act on a wealth of knowledge.

Different organizations or teams are at different stages of that process. Some have barely begun to address data entry, and other are already digging into vast digital content using the manual methods currently at their disposal. But at any point, it takes an uncommon blend of business process expertise, invaluable partners like ABBYY, and deep technical know-how to deliver lasting value.

At Paperless Productivity®, we strive to bring that rare combination to the table. Whatever your obstacles and objectives, we invite you to learn more about ABBYY’s next-generation document processing technology, and the proven consulting strategy that helps leading firms harness it. Contact us today to learn more.

FlexiCapture & Recognition Server News from the 2015 ABBYY Tech Summit

This week, we’d like to take a break from our usual emphasis on real-world FlexiCapture and Recognition Server reviews, and instead share a recap of one of our highlights of 2015: the ABBYY Technology Summit.

In early November, Paperless Productivity® headed to San Diego’s iconic Hotel del Coronado (life as an ABBYY partner is rough!) to spend three days with the team behind the world’s premier OCR tools. Just before things got rolling, ABBYY asked Shamel Naguib, president and founder of BuyFlexiCapture / Paperless Productivity, to share some pre-conference thoughts:


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Product Announcement: FlexiCapture for Invoices

EDI and XML invoices are always nice, but some vendors can’t provide them, and some buyers can’t process them. As a result, piles of paper and PDFs flow through most Accounts Payable departments. And according to the Association for Information and Image Management, even when invoices do arrive in electronic format, 20% of organizations still print them before processing!

AP has a strict scope of responsibility with immediate revenue implications. This means it tends to be among the most heavily scrutinized departments in any organization. Major AP performance criteria might include invoice processing time/cost, payment cycle time, invoice visibility, and cash forecasting accuracy. As cost and compliance pressures mount, there is no greater priority for AP managers than to expedite invoice processing while simultaneously maximizing accuracy.

That’s exactly why many AP and other departments have already implemented ABBYY FlexiCapture.
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The PaperlessOCR Blog: Welcome to PaperlessOCR.com

Hello, and welcome to the PaperlessOCR blog!

Our goal is simple: to provide a one-stop shop for FlexiCapture and Recognition Server licenses, along with all the info needed to guide your search for the ideal data capture solution.

In the coming weeks, this blog will highlight helpful OCR software reviews as well as miscellaneous tips, tricks, and suggestions to help you make the most of FlexiCapture and Recognition Server.

These are solutions we deeply believe in, and have implemented with great success for everyone from small, local businesses to multinational corporations. Given the simplicity and accuracy of today’s OCR software, nothing has greater potential for a positive impact on any form- or document-intensive business. Continue reading