Optical Character Recognition (OCR)

Optical Character Recognition (OCR)

Optical character recognition (OCR) technology is designed to convert images of text into digital characters, or data. OCR technology is often embedded into hardware devices like printer/scanners, available within desktop software like PDF readers, or incorporated into other systems that help to store or manage digital documents.

In the 1970s, one of today’s pioneering minds on artificial intelligence helped to usher in the next age of OCR innovation. Currently Google’s Chief Futurist, Ray Kurzweil, developed a software product that could recognize text images in any font. Originally combined with text-to-speech synthesis to enable computers to read printed material to the blind, Kurzweil’s software led to the possibility of converting printed pages of all kinds to computer text. This allowed for the extraction of raw character or ASCII data from a page.

But OCR (Optical Character Recognition) software has come a long way since its original role. Today, intelligent capture solutions can convert text images to digital characters and THEN parse through that information to identify data that is actionable or relevant to a process.

Problems Solved

Intelligence=Flexibility, Scalability and Easy of Use

Today, excitement and interest in robotic process automation and artificial intelligence has sparked the notion of a revolution in process innovation. In reality, however, this revolution is the latest stage in a number of technology evolutions.

And OCR remains a key solution to solving the problem of ‘big data’ in our lives becoming bigger, in the form of unstructured documents and images that make up the bulk of the digital information in the world.

To help manage, organize and derive meaning from unstructured data, intelligent OCR technology can automate what otherwise requires a human and a keyboard.

Modern intelligent capture solutions don’t require users to manually create templates to read different documents and extract data. These system learn and adapt to new document types based on user guidance/validation from a single sample and builds a knowledgebase to compare against new documents.

Artsyl Solutions

Artsyl Intelligent Capture Solutions Focus on Flexibility, Scalability and Ease of Use

Artsyl’s docAlpha digital transformation platform provides intelligent data capture, data validation, automated workflow and ERP/ECM integration to support intelligent capture and end-to-end process automation.

The docAlpha knowledgebase gathers the combined intelligence of all your docAlpha users to continuously improve and expand upon the types of documents it can read and process automatically.

The docAlpha platform delivers:

  • Self-learning intelligent extraction
  • Automatic document classification and separation
  • Machine print, hand-print text and checkmark recognition
  • Barcode recognition
  • Automatic redaction

docAlpha automatically identifies, sorts and classifies documents, allowing users to batch process physical documents without pre-sorting or using page separators or barcodes. It can read and extract data from printed documents as well as from hand-printed documents and identify checkmarks, with support for a variety of OCR/ICR/OMR engines

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