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Welcome to week four and the final installment of ‘Understanding key automation technologies’, this week our focus is Optical Character Recognition (OCR).
As with the other articles in this series, our aim is to provide bitesize introductions to the complicated technological methods used in the automation world.
All previous articles, covering Robotic Process Automation, Machine Learning and Cognitive Computing, can be found here.
Let’s dive into OCR.
Optical Character Recognition is algorithms that identify text (printed and handwritten) in digital images (photographs, scanned documents).
Accuracy and Speed
Improve Productivity
Searchability
Security
OCR, when carried out effectively, comes with many benefits. However, not all OCR solutions are created equally, and some could still require a fair amount of human input. Many off-the-shelf solutions rely heavily on good quality scanned documents or the bots cannot read the documents effectively. High quality scanned documents are not always possible, especially with older records. If this happens it can lead to frustrations as the new technology is not working as hoped.
That’s why, at Roots Automation, we’re building our own OCR capabilities as we don’t believe customers should settle for forms to be read with only 70% accuracy. We are focusing our efforts on a subset of forms, which are very widely used in the US, and training our bots to read these forms - even with poor quality input and scanning- to over 99% accuracy, in seconds.
One example: Most OCR software would not count these boxes below as being checked but we have trained our bots to infer if the box is checked by looking at the data around the box. Here we show our tool identifying an ‘X’ and appropriately recognizing the box it belongs to, even though it was not in the box!
Could your business benefit from OCR, or any other automations we’ve discussed in this series?
Continue the conversation with us on Twitter and LinkedIn or reach out to us with any questions and to book your free demo here: info@rootsautomation.com.
Thanks for reading!
See also: 4 things to know about ML - Understanding key automation technologies
See also: 4 things to know about CC - Understanding key automation technologies
The rich text element allows you to create and format headings, paragraphs, blockquotes, images, and video all in one place instead of having to add and format them individually. Just double-click and easily create content.
A rich text element can be used with static or dynamic content. For static content, just drop it into any page and begin editing. For dynamic content, add a rich text field to any collection and then connect a rich text element to that field in the settings panel. Voila!
Headings, paragraphs, blockquotes, figures, images, and figure captions can all be styled after a class is added to the rich text element using the "When inside of" nested selector system.
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