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


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.