Document Classification Beginner Guide

Welcome to the Document Classification Beginner Guide! Building upon the existing OCR Beginner Guide, this guide aims to provide you with a comprehensive understanding of classification techniques in the field of Intelligent Document Processing (IDP).

In an IDP process, classification typically follows document capture. Classification involves the categorization or grouping of documents based on their content, structure, or other characteristics. It helps organize and streamline the processing of documents by assigning them to specific categories or classes.

The capturing of documents is an essential prerequisite for classification, specifically in the context of OCR (optical character recognition) and ICR (intelligent character recognition) techniques. To initiate the document classification process, it is imperative to capture the documents accurately. This involves acquiring the physical or digital copies of the documents and converting them into a suitable format for subsequent processing. Once the documents have been captured, machine learning classification algorithms can be implemented to analyze and efficiently classify them.

There are two main approaches to document classification: rule-based and rule-free (also known as machine learning-based) classification. Rule-based classification relies on human-defined rules and criteria sets. In contrast, rule-free classification utilizes machine learning algorithms to automatically learn patterns and features from the data.

One advantage of rule-free classification is its flexibility in handling large and diverse datasets. Rule-free classifiers can easily adapt to new document types and accommodate an expanding number of classes, making them highly scalable. Moreover, rule-free classification can be much faster to implement compared to rule-based approaches, which may require months to develop and fine-tune the rules, while rule-free classifiers can be trained in a matter of days.

Document classification finds applications in various industries and domains. Some common use cases include:

At PLANET AI, we offer a rule-free classification solution that leverages advanced machine learning techniques for efficient document processing. With our solution, we have achieved remarkable results, such as automating over 300 document classes and achieving a 90% automation rate in just 3 days. By combining advanced algorithms with customizable training, our classification solution provides accurate and reliable results for various document types and industries.

In this Classification Beginner Guide, we have explored the fundamentals of document classification in the context of Intelligent Document Processing. We discussed the importance of document capture as a prerequisite for classification and compared rule-based and rule-free approaches. Furthermore, we highlighted the wide range of applications for document classification and introduced PLANET AI’s rule-free classification solution. With this guide as your starting point, you are now equipped with the knowledge to embark on your journey into the world of document classification.

Are you interested in machine learning-based document classification? Contact us today, and our team of experts will be happy to assist you with implementation, training, security, or any other questions you may have. Let’s revolutionize your document processing together!