[vc_row pix_particles_check=””][vc_column][vc_column_text]Anyone who has run a business for a considerable time will understand that documentation is more than just a formality. This is true to such an extent that there are businesses that have grown around documentation and information handling alone.
Now we have entered an era where data is everything, probably even more precious than gold. For something that has so much value attached to it, its processing should not be casual. Long story short, document-centric processes in organizations should be automated to make them more conducive for data analysis. Automate document centric workflows to extract more value out of your business.[/vc_column_text][vc_column_text]
Document Centric Processes With A Scope For Automation
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● Electronic Form Filling
[/vc_column_text][vc_column_text]One of the most important document-centric processes in a business is populating the fields in a digital form. Customers have to fill different kinds of forms to avail the services that are offered by a business. For example, in a banking set up, customers fill forms for opening new accounts, applying for loans, getting net banking facilities, etc.
The details mentioned in all these forms are different. The most complex problem, however, is that since all databases are now electronic, there will have to be one designated professional in all departments who will read these details from the physical forms and then type everything in the relevant fields. Without automation this process is highly cumbersome and prone to errors.
KlearStack provides a robust solution to automate document centric business process like this. Our artificial intelligence-based OCR solution is not only capable of extracting text out of physical documents and digitizing it, but also helps businesses in populating the different fields of electronic forms automatically. Machine learning plays a big role for this methodology to work accurately.[/vc_column_text][vc_column_text]
● Document Review
[/vc_column_text][vc_column_text]Not more than a decade back when paper-based record-keeping was more prevalent, every business had to invest in archiving it’s documents. Record-keeping was essential, not only for the purpose of legal technicalities, but also for referencing and revisiting older cases.
If we take the example of a legal firm, all such documents were mandatory to keep because time and again, lawyers need to revisit old case files for the purpose of referencing. The problem with the older system of archiving was that with physical documents, it took hours to scout through files just to find that one single paragraph that was relevant for a particular problem.
KlearStack presents a solution for this problem with optical character recognition. We enable the digitization of all types of physical documents, old and new. Be it handwritten documents or printed ones, our tool can digitize the text present in them highly accurately and automate document centric business processes. Once this is done, we compile everything in a searchable format. Entering only a few key words will help you find what you actually require within seconds.[/vc_column_text][vc_column_text]
● Image Collection and Analysis
[/vc_column_text][vc_column_text]With smartphones becoming more popular, a lot of the professional duties have also been transferred to mobile-based applications. The collection and representation of data can be done on mobiles itself. Moreover, sharing of information is also being done by the same means, very commonly via images.
If a business requires to extract information from images directly without having to type it, it will require optical character recognition. KlearStack helps to automate documents centric businesses in not only scanning and extracting information out of images, but also compiling relevant images and classifying them as per usage.
Machine learning and artificial intelligence enables our tool to segregate components within the image itself, so that only relevant outputs of text digitization are given to the end-user.[/vc_column_text][vc_column_text]
● Data Analysis From Document Database
[/vc_column_text][vc_column_text]The pertinent question still remains that why do businesses that are entirely document-centric need such extensive documentation in the first place. The end use case of such extensive documentation is not just record-keeping, but also carrying out decision analytics.
Analysis will also occur manually if the process behind preparation of the documents and databases was completed manually. As one can imagine, if manual documentation takes hours to complete, analysis will just add to that time frame, over and above.
Another problem is that simply changing your physical documentation styles to a digitized style, will not reap you enough results for proper analysis. What we want to indicate here is that your company will require a tool that performs the basic optical character recognition process 100% accurately, but is also enabled by artificial intelligence to extract insights from the information.
KlearStack, in a nutshell, provides this utility to its customers by using and leveraging the benefits of natural language processing, machine learning, text analytics, etc. We make our tool capable of generating actionable insights from the information that it is digitizing.[/vc_column_text][vc_column_text]
Summing Up
[/vc_column_text][vc_column_text]KlearStack has been the torchbearer for bringing about automation in document centric business process. Automate document centric business processes with KlearStack’s AI-based OCR solutions. From data capturing to optimizing documentation-based workflows and providing crucial insights for analysis, KlearStack helps with everything. For more details, feel free to reach out for a free demo.[/vc_column_text][/vc_column][/vc_row]
