Document AI – Transforming Processing, Outputs, and Lives

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[vc_row pix_particles_check=””][vc_column][vc_column_text]Document AI or AI based document processing is a game-changing technology that has revolutionized the way organizations handle their documents. With the help of AI and deep learning, document processing automation has become faster, more efficient, and more accurate than ever before. KlearStack is one of the leading solution providers in this field, offering a comprehensive platform for AI-based document processing that can help organizations streamline their document workflows and improve their productivity. In this blog, we will explore what is Document AI, how it works, and how KlearStack’s solution can benefit organizations.

What is Document AI?

Document AI refers to the use of artificial intelligence and machine learning to process unstructured data from documents such as invoices, contracts, and receipts. The technology can extract data from a variety of document types, including scanned documents, images, and PDFs, and then classify and analyze the data for further processing.

Document AI can be used in a variety of applications, such as automating data entry and validation tasks, improving data accuracy, and reducing manual processing time. By automating these tasks, organizations can increase their productivity, reduce errors, and improve their overall efficiency.

How does AI help in Document Processing?

1.Data Extraction

Data Extraction makes use of Artificial Intelligence approaches and methodologies to extract specific parts of a document, convert them into digital text, and then use it for other relevant purposes. Basically, here we use AI to scan documents and access relevant data from them as per our needs.

Companies that have existed and operated for years have a lot of crucial data stored in hand-written or printed sheets. Many of these companies have elaborate mechanisms for preserving highly classified data stored in such physical documents, but the main problem arises when the employees have to search through all the documents to get hold of a particular component of this data.

With Document AI, specific components can be retrieved automatically, and can even be converted into a searchable text document so that for subsequent usage, employees do not have to go through each and every document in the company’s repository to find something important.

The Document AI model is so accurate, that it can also be used to generate actionable insights, which would have otherwise taken quite a lot of days to get processed manually.

2. Document Classification

Classification of documents is important to ensure that they are handled and preserved carefully. Usually, such a classification is imperative to allow employees to access the documents whenever they require a particular set of data from the previous company records. With the traditional methods, manual classification was prevalent which would take too much time to complete, required a lot of expenditure, and was subject to many errors too.

Artificial Intelligence provides a method of automating document classification with extremely high accuracy. Machine Learning models are most commonly used for such document classifications. These models are in a way trained to identify characteristics in each document, and then interpret the results to finally place them in a particular category.

3. Document Processing

Intelligent Document Processing, as it is called, makes the processing of complex documents much simpler such that the usually difficult task of obtaining insightful outputs gets completed within seconds, and with higher accuracy. Intelligent Document Processing utilizes several subsets of Artificial Intelligence like Machine Learning, Natural Language Processing, Computer Vision, Deep Learning, etc.

A common way in which this type of document processing operates is where Natural Language Processing and Computer Vision methods help in recognizing or understanding details in the text and visual information, followed by the interpretation of these results by Machine Learning models which ultimately give a precisely analyzed output.

Once these steps in Intelligent Document Processing get completed, data can be easily consolidated into specific documents. These documents can be secured with various mechanisms, and can also be shared seamlessly within departments. A smart search can be performed on the consolidated files, and can even be utilized to generate analytics and insights.

Benefits of Document AI Solution

Increased Efficiency:

Document AI or AI-based document processing uses advanced technologies like optical character recognition (OCR), natural language processing (NLP), and machine learning to extract data from documents and automate manual tasks. This significantly reduces the time and resources required to process documents manually, resulting in increased efficiency.

Improved Accuracy:

Document AI uses machine learning algorithms to validate extracted data, reducing errors and improving data accuracy. The technology can also learn from previous data processing experiences, enabling it to improve over time.

Cost Savings:

By automating document processing tasks, organizations can reduce labor costs and improve productivity. This frees up resources that can be used to focus on higher-value tasks.

Improved Compliance:

The technology can help organizations comply with regulatory requirements by ensuring that data is accurate and up-to-date. This can help prevent costly errors and legal disputes, saving businesses money in the long run.

Enhanced Visibility:

AI-based document processing provides real-time visibility into document processing tasks, enabling organizations to track progress and identify bottlenecks. This can help businesses optimize workflows and identify areas for improvement.

Overall, the benefits of Document AI are significant and can provide organizations with a competitive advantage. By improving efficiency, accuracy, and compliance, businesses can save time and money while improving the quality of their data processing.

KlearStack’s Document AI Platform

KlearStack has emerged as the number one choice for users when it comes to Document AI. Our solutions not only offer intelligent processing benefits, but they are affordable and provide highly accurate results too.

KlearStack’s Document AI offerings are enriched with self-learning abilities that work in tandem with Machine Learning models. These machine learning models are trained to analyze data with full precision, and deliver error-free results.

To enjoy AI data extraction, classification, and processing without worrying about templates and formats, contact KlearStack for a free demo today.

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