What is intelligent document processing ?How it works?

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Intelligent Document Processing (IDP) refers to the use of artificial intelligence (AI) and automation technologies to extract and analyze data from various types of documents, such as invoices, receipts, forms, contracts, and more. The goal is to automate the processing and understanding of unstructured data contained within these documents, enabling businesses to streamline their operations and enhance efficiency.



IDP typically involves the following steps:

Document ingestion: The system receives documents in different formats, including scanned images, PDFs, or digital files. These documents are uploaded or scanned into the IDP platform.

Optical Character Recognition (OCR): The documents undergo OCR, which converts the text within the document into machine-readable text. OCR enables the system to extract data from the document accurately.

Data extraction: Using AI algorithms, the IDP system identifies and extracts relevant data from the document. It can locate and extract specific fields such as customer name, address, invoice number, or any other required information.

Data validation: The extracted data is validated to ensure accuracy and completeness. This step involves performing checks against predefined rules or comparing the data with external sources or databases.

Data integration: The extracted and validated data is integrated into the organization's existing systems, such as ERP (Enterprise Resource Planning) or CRM (Customer Relationship Management) software. This enables seamless data transfer and eliminates the need for manual data entry.

Workflow automation: IDP can trigger automated workflows based on the extracted data. For example, it can initiate an approval process, generate notifications, or route the document to the appropriate department for further action.

Continuous learning and improvement: IDP systems often incorporate machine learning capabilities. This allows them to learn from user interactions and improve the accuracy of data extraction over time. Users can provide feedback to correct any errors, which helps the system refine its understanding and extraction capabilities.

By leveraging AI and automation, intelligent document processing enables businesses to handle large volumes of documents more efficiently, reduce manual effort, minimize errors, and accelerate document-based workflows. It ultimately helps organizations save time, improve productivity, and make better-informed decisions based on the data extracted from documents.

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