We spoke about Robotic Process Automation (RPA) and how bots can be used to speed up processes and remove unintentional errors which crop up during document management. The two techniques followed in the automation industry are OCR (Optical Character Recognition) and ICR (Intelligent Character Recognition), to read any type of document and extract data.
Most industries try to maintain a singular template of documents to be scanned, but this control also does not reside with the organizations. Documents received are about 60 – 70% of the times in the expected format, these formats being printed documents in PDF/ Docx. The top OCR engines used are Google, Abby Finder and Microsoft and they have really good extraction capabilities when it comes to these formats.
When it comes to handwritten text the OCR method steps back and ICR takes over. Here again, all ICR engines also do not follow the same procedure in capturing the text.
Hand written documents exist in many documents across the industries.
Some automation tools have their own ICRs. The error rates of reading a document are highly proportionate with not only the information in the document but also the text format of the document.
Automating process within applications is a boon to the industries and would give way for AI in the near future.
A successful AI must start with automation, where processes are learnt by the bots to trigger logical outcomes based on inputs received.
Working as an RPA analyst, have identified RPA solutions across domains such as banking, manufacturing, legal and healthcare. Crazy about cars and driving in general. Some of my best drives have been - Great lakes of America, Snowy Himachal, Great Ocean Drive Pacific & Atlantic and the Californian Deserts sand dunes ATV drive.