Inside the Mind of OCR Solutions: What It Really Takes to Build Intelligent Document Recognition
Before we get into the details, hear it straight from the source (video below).
In this candid conversation with Info-Tech Research Group, Eyal Barsky, CEO of OCR Solutions, talks with Thomas Randall to unpack what really drives document automation from technical groundwork to building reliable systems for identity and document recognition.
We were a simple OCR company in 2004. Now we do everything from A to Z.
That’s how Eyal opens this interview, not as a pitch, but as a matter of fact.
And as the conversation unfolds, it becomes clear that what OCR Solutions does today extends far beyond what most people think of as “scanning.”
Whether it’s verifying IDs, streamlining onboarding with advanced ID scanning software, organizing documents or catching fraud.
It all comes together where precision, pace, and control matter most.
And behind it all? Not just technology, but relentless iteration, testing, and listening to client needs.
More Than OCR: Building a Data Engine That Thinks
As Eyal says during this interview, the journey of OCR Solutions hasn’t been just about reading characters off a page; it’s been about transforming static documents into intelligent data assets.
That’s where their document recognition software shines.
“We don’t just extract text. We categorize documents, we classify them, we know what it is just by looking at it.”
And that’s no small feat. With millions of document types circulating across industries, including invoices, forms, IDs, and medical reports, the system needs to function without depending on rigid templates.
That’s the evolution. From static reading to dynamic understanding. The engine isn’t guessing — it’s learning.
Where Speed Meets Practical Utility
One of the most standout moments in the interview comes when Eyal talks about the role of real-time automation in daily operations.
“There’s a big difference between holding up an ID at a club and scanning one into a CRM in 2 seconds.”
That quote lands hard because it illustrates what ID scanning software truly offers: not just fast processing, but frictionless backend integration.
It’s not about scanning for the sake of it. It’s about what happens next.
The extracted data doesn’t just sit there. It populates databases, updates customer profiles, verifies compliance, and flags inconsistencies – all in real time.
That’s where OCR solutions begin to deliver tangible value, especially when integrated with document recognition software capable of identifying patterns, extracting fields, and sorting data without templates.
AI Isn’t Magic. It’s Training
There’s a moment in the interview where Eyal breaks through the hype around artificial intelligence with clarity that few CEOs offer.
“AI is not a magic switch. You need thousands—millions—of images to train it right. That’s what we do behind the scenes every day.”
That’s the hidden layer behind OCR Solutions’ AI-powered OCR.
The system doesn’t cut corners. It’s built on a hands-on R&D process that includes reviewing tricky cases, feeding labeled data into models, and constantly fine-tuning how accuracy is measured.
And that’s also why their AI document processing engine doesn’t crumble when faced with a poorly lit scan or a wrinkled ID.
It’s built for real-world variability. Not lab conditions.
That’s where AI document processing truly proves its worth; handling complex, unstructured documents and making sense of them without human intervention.
The Heart of Integration: OCR API and SDK Options
The interview dives deep into deployment options, and it’s here that a critical distinction emerges.
OCR Solutions doesn’t force clients into a one-size-fits-all delivery model.
For lean cloud integrations, the OCR API for ID verification allows fast, encrypted connectivity across Android, iOS, Linux, and Windows environments.
It plugs into existing tech stacks without disrupting operations.
For full control environments, the OCR SDK for developers delivers a completely self-contained option.
As Eyal puts it, “With the SDK, you don’t need cloud access. You build what you want, where you want it.”
Whether it’s a government agency requiring air-gapped infrastructure or a bank with strict data residency policies, this flexibility makes a real difference.
Time-to-Value: When Speed of Deployment Matters
Another insight that stands out is how fast clients get up and running. “We’ve seen clients go live in under a week with our cloud API.”
That’s not marketing fluff. it’s execution.
OCR Solutions knows that even the best tool isn’t much help if it takes months to implement. That’s why our cloud-based OCR solutions are designed to integrate cleanly, with minimal engineering overhead.
Accuracy at the Edge: OCR for Passports and IDs
The conversation shifts back to the technical side as Eyal explains how OCR for passports and IDs functions in mobile environments, especially in places where connectivity isn’t always reliable.
“We process documents on-device. You don’t need internet access. That’s a huge differentiator.”
Whether it’s for remote onboarding or field operations, the system can scan, parse, and verify IDs instantly—even without an internet connection.
It’s faster and fully self-contained; yet still supports uploading data securely when a connection resumes. And that’s thanks to the architecture behind secure OCR software that’s built for real-world operations.
Security by Design. Not as an Afterthought
One of the most striking moments comes when Eyal talks about the company’s track record:
“Over 20 years. Not a single incident.”
That’s not luck! It’s the result of deliberate architecture. Secure OCR software from OCR Solutions isn’t just about encryption. It’s about full data isolation, SOC 2 certification, and customizable on-premise deployment that ensures zero data leakage.
That level of security isn’t optional anymore. It’s foundational. And it’s one reason many IT teams prefer implementing an OCR API for ID verification to streamline secure digital workflows.
ROI That Speaks in Numbers
In one of the most concrete examples shared, Eyal explains how one deployment dramatically reduced staffing requirements.
“The last integration we did dropped labor from 100 agents to 10.”
That’s not hypothetical – it’s hard ROI!
The difference isn’t just cost, it’s operational resilience.
For many organizations, deploying a customizable OCR SDK for developers offers that edge. All while empowering teams to tailor functionality right into their core infrastructure.
It’s the kind of outcome that makes OCR solutions more than a tool. It makes them a strategic advantage.
Seeing What Others Miss: Fraud Detection on the Rise
Towards the end of the interview, Eyal shares the new frontier: fraud detection through visual pattern analysis.
“We’re building features that detect if a photo was taken from a screen, if pixels don’t align, or if an image has been tampered.”
This isn’t just about reading documents anymore. It’s about checking their authenticity with the kind of detail you’d expect from forensic work.
In many modern environments, cloud-based OCR solutions offer the scalability and flexibility needed to support these next-gen verification systems.
That’s what next-gen AI-powered OCR will offer: not just automation, but active threat mitigation.
It’s Not Just Software. It’s the Infrastructure Behind Everything
As Eyal says during this interview, “OCR is a living, breathing application. We grow with it every month.”
That growth doesn’t just reflect software. It shows how businesses now expect documents to work—quickly, securely, and without friction.
Ready to see it live in your workflow?
If you’re ready to experience what real-world automation looks like, the team at www.ocrsolutions.com is ready to show you.
- No pressure.
- No bloated pitch.
- Just a live demo of what happens when document processing actually works the way it should.
