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Document AI Set up the Document AI API. Learn the required setup steps to start using Document AI. ... Process documents with the Cloud Console. Create a form parser and process a form PDF document using the Cloud Console. ... Process documents by using client libraries.

OCR can scan documents and transform them into a machine-readable form. But it doesn't "really" understand your data like IDP does. For instance, OCR can tell us that certain pixels are the numbers 1 9 8 0 – but it does not understand that it's a year and part of your Date of Birth.

Intelligent document processing (IDP) applies artificial intelligence (AI) and machine learning techniques to process structured, semi-structured, and unstructured documents that enable technology to read and process content in documents like a human.

IDP vs OCR – Differences IDP technology is also faster than OCR and can process large volumes of documents in a fraction of the time. Furthermore, while OCR software typically requires manual intervention to correct errors, IDP technology can often self-correct data extraction mistakes.

OCR is a technology that allows machines to read printed text and images. It is often used in business applications, such as digitizing documents for storage or processing, and in consumer applications, such as scanning a receipt for expense reimbursement. OCR stands for Optical Character Recognition.

PandaDoc is a document creation and automation tool that leverages AI technology to streamline the document creation process.

The difference between IDR and Optical Character Recognition (OCR) is that OCR only transcribes a document, merely leaving you with a text representation of the scanned image. Unlike IDR, OCR does not provide any further information about what the document is about or the actual data points.

While RPA is focused on automating repetitive, manual tasks and OCR is focused on converting images of text into editable and searchable text, IDP is an advanced form of OCR that can extract and organize information from unstructured documents using machine learning and natural language processing.