Why Is it Essential to Have Automated Document Indexing?

Why Is it Essential to Have Automated Document Indexing?

In a world with an ever-increasing volume of documents, most organizations are exploring automated approaches for document indexing. As per a recent report by International Data Corporation and McKinsey, workers spent 19% of their time hunting for information; hence this is why it becomes imperative that organizations employ document indexing.

Document Indexing essentially means capturing the information from paper documents and then converting them to digital formats for various purposes like usage, search as well as retrieval. However, it is important that such information is categorized under proper subheads. Hence, in this case, automated document indexing plays very importantly as, through artificial intelligence, they can efficiently categorize the documents into suitable formats. At KlearStack, one of the best AI-driven document intelligence platforms, we provide document indexing with a 99% accuracy rate.

Most of us believe that when Google can search each and every material within seconds, why we would need document indexing? This is because Google can only provide information in a generalized format that would not be relevant to your requirements. Due to the complexity of business solutions, we must adopt document indexing. However, the manual method for document indexing is quite tedious; hence this is where automated document indexing, and classification come into the picture. At KlearStack, we provide automated as well as enterprise-ready document indexing with high accuracy and reduced error percentage with the help of machine learning as well as artificial intelligence.

Benefits of Automated Document Indexing

Higher Data Accuracy Level

With the help of automated document indexing, you do not need to manually manage the documentation process, thereby enhancing the efficiency and speed, and cost of operations. At KlearStack, we provide document indexing with a higher accuracy rate of around 99%.

Reduction in Costs of Operation

By investing in automated document indexing software, you would require much less time and resources, thereby reducing your costs of operation and enhancing a smoother operation process.

Data Retrieval at Ease

By automated systems, you can easily classify your documents with huge volume data storage and make it easy for data retrieval. At KlearStack, our AI-enabled solutions help in document indexing, which makes document processing much easier and hassle-free.

Organizing Documents Easily

With the help of automated document classification, you can easily organize documents with predefined categories and references. KlearStack AI intelligent document indexing makes categorizing your documents much easier, thereby leading to hassle-free processing.

Better Collaboration and Efficient Workflows

With the help of automated document indexing, people can work much more efficiently and collaborate on the important stuff. Moreover, with the help of automated indexing by KlearStack, your employees can access the right document from any place at any time.

How does Document indexing Work?

The following are some of the steps that are related to automatic document indexing. Let us go through them one by one.

OCR

The first step is OCR or also known as Optical Character Recognition. It is the process by which texts can be read from a particular image or a document. At KlearStack, we use OCR not just to extract the words but also to use the locations in order for the splitting and searching indexing process. Additionally, once the OCR process is completed, then we move on to the next step, which is known as splitting.

Split

With OCR, when the pages of the document are read and transferred to our system, all of it is clubbed together in one particular document. Now in order to go forward with the process of indexing, we at KlearStack employ the process of splitting.

The splitting process is then set up in such a way that the OCR data is properly utilized and split up into documents. Here in the splitting process, with the help of Artificial Intelligence, the document is split quite easily and quickly, and then the next step is taken, which is document indexing.

Indexing

Document indexing majorly consists of entering data values about each and every document. These data values are entered in such a way that it becomes easy to search it later.

Generally, at KlearStack, our indexing is done by AI and deep learning processes, which makes the indexing processes much easier, and data can be classified easily.

Classification

The record is prepared for classification once it has been indexed. In order to ensure that all requirements have been completed for the specified process, the individual pages are divided and then categorized into their respective papers. Any missing documents are noted, and notifications are made to make sure they are collected before any deadlines are missed.

Summing Up

Automated Document Indexing is a necessity for organizations; hence you need to ensure that you deploy the best software that would address these needs. At KlearStack AI, we provide an AI-driven intelligent document indexing platform that can help you organize your documents hassle-free. Contact us for a demo.

Ashutosh Saitwal
Ashutosh Saitwal
www.klearstack.com/

Ashutosh is the founder and director of the award winning KlearStack AI platform. You can catch him speaking at NASSCOM events around the world where he speaks and is an evangelist for RPA, AI, Machine Learning and Intelligent Document Processing.