OCR, or Optical Character Recognition, is a technology that allows computers to recognize and process text that appears in images, scanned documents, or PDF files. The technology works by analyzing an image and identifying individual characters, converting them into machine-readable text. This enables computers to process text in a way that is similar to how humans read text.
OCR technology is widely used in RPA, as it allows organizations to automate tasks that involve data extraction and processing. For example, an RPA bot can use OCR to extract data from invoices, receipts, or other documents and then use that data to populate fields in a database or spreadsheet. This can help organizations automate a wide range of tasks, such as data entry, document management, and accounts payable processing.
To get rid of repetitive jobs using OCR, organizations can implement RPA solutions that incorporate OCR technology. This can involve configuring bots to perform tasks such as scanning and processing documents, extracting data using OCR, and then using that data to populate fields in a database or spreadsheet. The bots can be configured to run continuously, freeing up employees to focus on more value-adding tasks.
BENEFITS OF USING OCR IN RPA
The benefits of using OCR in RPA are numerous. By automating data extraction and processing tasks, organizations can reduce the risk of human error, increase efficiency and accuracy, and save time and money. Additionally, RPA and OCR can work together to process large amounts of data quickly and accurately, which is particularly useful for organizations dealing with high volumes of documents.
“IN THE FUTURE”
The future of using OCR and RPA together looks promising, as organizations are increasingly recognizing the benefits of automating data extraction and processing tasks. As technology continues to advance, we can expect to see more sophisticated and integrated solutions that allow organizations to automate even more complex tasks. Additionally, the increasing availability of cloud-based RPA solutions will likely make it easier for organizations of all sizes to adopt these technologies.
Moreover, the integration of OCR with advanced technologies such as Artificial Intelligence (AI) and Machine Learning (ML) will likely lead to even greater accuracy and capabilities in data extraction and processing. In the future, we can expect to see OCR and RPA solutions that are able to process even more diverse types of documents and data, and that are capable of performing increasingly complex tasks. Overall, the future of OCR and RPA looks bright, and organizations can expect to see significant benefits from incorporating these technologies into their workflows.
