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How OCR Makes Robots Smarter

Posted on April 15, 2024

The Unsung Hero of Automation: How OCR Makes Robots Smarter

We all know about the efficiency-boosting power of automation, but there’s a hidden hero behind the scenes: Optical Character Recognition (OCR). This technology might not get the headlines, but it plays a critical role in making automation truly sing.

What is OCR?

Imagine a robot trying to read a stack of papers. That’s not exactly a recipe for success. OCR bridges the gap by transforming physical documents and images into digital text that computers can understand. It’s like giving robots the ability to see and interpret the written word.

Why is OCR Important for Automation?

A lot of valuable information is still trapped in physical documents like invoices, receipts, and even handwritten notes. OCR unlocks this data by converting it into a format that can be used by automation tools. Here’s how it makes a difference:

  • Taming the Unstructured Beast: Business data often comes in messy, unstructured formats like PDFs and images. OCR tames this beast by transforming it into structured, digital text that automation tools can readily process.
  • Supercharging RPA: Robotic Process Automation (RPA) bots are whizzes at repetitive tasks, but they can’t decipher text in images. OCR acts as their eyes, allowing them to extract data from physical documents and feed it into automated workflows.
  • Boosting Efficiency and Accuracy: Manually entering data is a time-consuming and error-prone chore. OCR automates data extraction, significantly improving efficiency and reducing the risk of human error.

The Bottom Line

OCR is the secret sauce that makes automation truly powerful. By unlocking data trapped in physical documents, it empowers automation tools to streamline workflows, improve accuracy, and free up human resources for more strategic tasks. So next time you witness the magic of automation, remember the invisible hero in the background – OCR, making robots smarter and businesses more efficient.

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