Data extraction softwares are increasingly becoming more diverse and widespread across their functions and purposes. While their practical values are clear, to simplify document automation, there is still a need to evaluate different types of this software against one another.
6 Key differences between OCR and Turicode
- High speed in processing data
- Easy to set up and initiate
- Able to fully automate document processing
- Contextually understands data
- Self-learning system
- Seamlessly integrates with existing systems
Definition: Optical Character Recognition (OCR)
An application software that allows a computer to recognise basic printed or written information (e.g., numbers, letters, and symbols) which are suitable for extraction.
Turicode has developed a machine learning engine that can read – and understand – any document like humans do. Once documents are transformed into machine-readable data, companies can easily search, analyse, and process previously hidden data to find new insights.
OCR (Optical Character Recognition) and Turicode's AI vary in numerous aspects. How does one evaluate these differences?
What's The Best Solution For You?
From time-to-time, choosing a software type can be difficult - especially when you constantly have technical phrases and strangely-long words thrown towards you.
Solution: here's a flowchart to help you find your way in choosing between standard OCR, and machine-learning based software (like Turicode).
High Speed in Processing Data
High speed processing results not only saves time and money, but can help employees focus on other business objectives. It's quite the revolution to be able to extract and classify data within seconds, rather than hours, which is why high speed is an aspect which companies always crave. Turning to OCR and Turicode, both softwares are fully capable in supplying this need for speed within document extraction.
Easy to Set up and Initiate
The future of technology favours those which conform to simplicity and the "easy-to-use" phenomenon - especially within the tech industry. It's not rocket science that even the most complex systems seek simplified methods for their customers. In light of OCR and Turicode, OCR is deemed as less 'simple' to set up and initiate, compared to the processes offered by Turicode's AI.
Able to Fully Automate Document Processing
While a fully automated data processing system is not on every business' wish list, this feature is intrinsically important when it comes to efficiency for you and your business. OCR tends to lack this element, requiring users to continuously provide templates and constant supervision. This is simply inconvenient. Turicode, however, enables users to completely automate data extraction.
Contextually Understands Data
Although OCR is capable of processing basic text, numbers, and symbols, it doesn't have the cutting-edge contextualised knowledge like Turicode. Using an OCR software simply wouldn't be practical if you require it to contextualise and transform valuable dates on an insurance policy, for example.
Self-learning System (requires less intervention)
There happens to be a common theme when it comes to implementing data automation - the ability to be economical. While standard OCR lacks this, Turicode AI is able to learn and develop without the need for continuous aid.
Seamlessly Integrates with Existing Systems
Being able to implement a software into your business with little-to-no issues or complexities is something Turicode delivers on, compared to OCR. This feature can be both time and money saving. Being easily integrated also removes the weight off of you and your team's shoulders if you lack technological proficiency.
Even more interested about Turicode's ML-engine? Come find us here.