Post-processing examines the images to detect and correct errors in the OCR output.Intelligent character recognition capability converts images into actual text characters.Pre-processing images to improve text quality and OCR accuracy by distinguishing characters from the background by converting distorted images into correct text and enhancing image features.Template-based OCR generally operates through the following method using templates or text-based rules: To this day, it remains one of the most popular methods for extracting data in business documents, despite its flaws. What is OCR software? And how does OCR work? Traditional, template-based OCR was historically a breakthrough in automated data capture technology. How does OCR work to improve business efficiency? From data capture all the way to post-processing, Rossum makes it easy to analyze, capture data, and route documents to their appropriate destination. A comprehensive platform like Rossum lets you take control of your entire document processing workflow. Both have various benefits that, depending on how an organization operates, can be the best option.Ī better solution is needed to prevent documents from being lost or miscategorized. There are two general types of OCR – template-based and cognitive (AI-enabled).
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The best online OCR technology, after all, does more than just capture data.Īs a more efficient alternative to manual data entry, OCR image-to-text software is widely used as a key element in document management workflows for teams and organizations throughout the world. If the OCR software you deploy still requires human data professionals to constantly correct its mistakes, you won’t see much ROI. The extracted text can be used in Word, Excel, or other similar programs.Ībove all, accuracy is key in automated data capture. By extracting data, OCR allows for digital archiving, editing, and document searching.
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This technology saves time and money by providing automation and data capture to document-based processes.ĭocuments can also be compressed into zip files, sent as email attachments, or embedded in a website. By taking unstructured data in these images, capturing it, and converting it into structured data, the document can then be understood and used by machines. The list of documents that can be read by OCR software is practically endless. These images can include typed, handwritten, or printed text and are often important business documents: Optical character recognition (OCR) software enables teams to quickly convert images into machine-encoded text. Consequently, document processing is often done in a fairly haphazard manner, with different teams processing the data needed to run operations. Most organizations do not have a single platform they can use to manage their documents.
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