How does it help you recognize letters and convert them into an electronic document? You don’t need to include much advanced computer science in the OCR process, but Gleematic, which allows you to easily convert images into automated data extraction.
In recent years, invoices and documents have been entered manually into the system, and there is nothing wrong with that, but it is very time-consuming. To solve this problem, new technologies have been developed, such as Optical Character Recognition (OCR), which can easily retrieve this information and extract it from the document. OCR can retrieve information from an invoice, on which you must prepare the information that will be contained in the documents. Although the bill runs into the thousands and the company is growing, the number will continue to rise.
Although setting up OCR to receive these documents is as simple as you think, the drawback of OCR is that many types of invoices and documents vary from company to company. As for the application, it can be said that the traditional OCR itself is able to extract the invoice documents and arrange them according to the invoice types used. This technology can read manuscripts and can also be used in a variety of other applications such as financial documents.
Save to Your Reading List: Most Frequently Asked Questions About OCR
According to Indonesia’s main website, which focuses on technology and various things in the technology world, AI is a computer system that can perform tasks that humans do to get jobs done. Today, the examples that come closest to humans are computer vision, speech recognition, machine learning, and language processing. It also has a term called “human – like intelligence,” a capability that AI has to mimic human brain skills and mimic the way humans think by using Yahoo containers to try to relate information to other information, such as human thinking. AI requires data to be used as knowledge, so that one could say that Ai was previously trained on the basis of his knowledge.
AI is still relatively new, and various companies that use it have major problems in their business and in the company that uses AI in its business. Not many companies have digitized the documents and prepared to solve the problem, so they do not have to digitize documents. One of the advantages of processing documents that OCR has done in the past is that neural AI networks can work in understanding invoice documents, but they do not need the rules of OCR.
Actually there is nothing wrong or right in this case, in the end it also depends on the type of documents to be placed, the resources that are owned and the need for the system, OCR works for certain industries that may only have one type of invoice and the amount is thousands, of course. it is very compatible with OCR, whereas in other cases this AI technology can load various kinds of invoices, the advantage is that you don’t need to manage a lot of things for various types of documents but sometimes it is still difficult to implement.
The two technologies can be combined in different ways, such as by using a combination of traditional OCR and artificial intelligence (AI). Both technologies can be used in different ways, combining OCR and AI to process many different types of documents, combining both advantages while maintaining their strengths and weaknesses such as accuracy and speed.
The interesting thing about Gleematic is that everything can be done with the basic system they have developed, a robot that can do all the human work and carry out the work process in a way that is very much in line with current needs. You can spend more time filling out recurring invoices for your business every day, all with Gleematic.
Written by Elsa Ajarwati