Intelligent Document Processing (IDP)

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Intelligent Document Processing (IDP) is an advanced technology utilized in the field of data extraction and processing. This process involves using artificial intelligence (AI) and machine learning (ML) technologies to recognize, classify, and extract relevant data from a wide range of document types. Through Intelligent Document Processing, the aggregation of unstructured data from sources such as PDFs, printed text, handwritten texts, images, and emails is simplified and automated, thereby improving efficiency and accuracy.


The working methods of IDP includes image recognition and processing, Optical Character Recognition (OCR) for text extraction, Natural Language Processing (NLP) for understanding context, and Machine Learning for pattern recognition and self-improvement over time. After the documents are scanned and data is extracted, the technology applies these techniques to understand the context and semantics of the content and data within those documents. This approach ensures the data processing mechanism results in data accuracy, causing fewer errors than manual data entry.

Intelligent Document Processing is becoming a game-changer for many industries. It not only enables businesses to streamline their data processing operations significantly but also removes the time-consuming task of manual data entry and decreases the risk of human error. This rapid and accurate capture and comprehension of data enables organizations to gain timely insights, ultimately leading to a better decision-making process, increased productivity, cost savings and enhanced customer experiences.

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