OCR is also used in various other use cases such as extracting tables from PDFs, extracting text from images or extracting text from PDFs or other non-editable formats. For a detailed explainer on OCR and its use cases refer to this guide. OCR software leverages this technology to extract data from PDFs or scanned documents by converting it into machine-readable text data that can be edited & stored more conveniently for further processing. OCR or Optical Character Recognition is a technology that identifies & recognizes text within scanned documents, photos or images. Reduce turn around times and eliminate manual effort. Capture data from documents instantly and automate data workflows. Let's take a look at some of the best OCR software & also check out some free OCR software.Īutomate manual data entry using Nanonet's AI-based OCR software. More and more organizations are automating document processing workflows to go paperless and leverage cloud-based digital solutions that improve bottom lines. OCR software solutions help businesses save time and resources that would otherwise be spent on data entry & manual validation/verification. Scanning & processing documents such as invoices, receipts, and images for valuable data has traditionally been a manual process fraught with errors and delays. AI-based OCR can digitize the data in convenient, editable formats that fit into organizational workflows. OCR software leveraging AI/ML capabilities can also help automate data capture from scanned documents/images. OCR is also used to digitise files and documents to make them searchable. OCR applications are commonly used to capture text from PDFs & images and convert the text into editable formats such as Word, Excel or a plain text file. Optical character recognition (OCR) software help convert non-editable document formats such as PDFs, images or paper documents into machine-readable formats that are editable & searchable.

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