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IDP enables all data in any format to be extracted, categorised and verified for automated business processing. Intelligent Document Processing is more advanced than Digital Capture and OCR (Optical Character Recognition).

As International Data Corporation estimates, in less than four years, worldwide enterprise data will exceed 175 zettabytes.  More than 80% of business data is stuck in unstructured, uneditable formats like PDF, text documents, and images. With businesses looking to digitise completely, there are sectors that need to mine deep into the wealth of information that they hold. Business processes, finance operations, customer research, market analysis, academics, logistics, and healthcare are some sectors that are now heavily dependent on data extraction and automation for speed and efficiency.

Intelligent Document Processing (IDP) sorts information from any unstructured source – be it invoices, orders and receipts, emails, claim forms, registries, contracts, scanned documents or printed books – into structured, easily accessible, validated data as required by any business.


What is Intelligent Document Processing?

IDP (Intelligent Document Processing) helps humans access and integrate unstructured data through AI-driven technologies like Optical Character Recognition (OCR), Computer Vision (CV), Natural Language Processing (NLP) and Machine Learning (ML).

These data extraction technologies have mostly been used in isolation for specific purposes. But what makes Intelligent Document Processing impressive is that it uses a combination of these data tools as a singular solution to transform how we work with data.

In short, Intelligent Document Processing makes automated data extraction possible. IDP provides modern enterprises with a unified, seamless, scalable platform to identify, extract and organise information from any source of data.

Ventures are sending IDP to increment process computerization, which is generally prevented by manual information passage bottlenecks and OCR restrictions.

Intelligent Document Processing has revolutionised traditional Data Capture by integrating AI into its platforms. Data Capture had once changed the way any or all information was stored and made readable by a computer. Electronic data capture extracted information from digital or scanned documents and converted them into machine-readable data. IDP has taken this data extraction a leap further by organising the captured data intelligently and making it suitable/relevant for business workflows.

A few names have been utilized to depict this class as it has arisen throughout the course of recent years. These include:

Intelligent Document Processing, Intelligent Data Processing, Intelligent Data Capture, Intelligent Data Extraction, Cognitive Document Processing, Enterprise Cognitive Computing Application, Machine Learning OCR.


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How does Intelligent Document Processing work?

IDP platforms are designed to efficiently and accurately manage the multiple steps of data extraction and integration:

Document Capture

This is performed by integrating the IDP solution with high definition, high-speed scanning hardware for printed paper and images; and software to read digital content like text and PDF files, and office productivity documents.

Image Processing

The IDP platform processes images with OCR and computer vision algorithms. Two versions of the digitised documents are created – one for machine-reading and the other for human viewing for content management.

Optical Character Recognition

The text on scanned documents is read using OCR technology. An efficient Document Processing solution uses multiple OCR engines for a layered approach to achieve near 100% accuracy.

Natural Language Processing

NLP makes the IDP platform quicker and more intelligent in understanding data. NLP techniques like sentiment analysis and tagging of parts of speech, named entities and other language elements help detect specific meaning & context. This helps in identifying relevant data in unstructured document formats.

Document Classification

Classification of information is what sets Intelligent Document Processing apart from other data automation solutions. The automatic document recognition features of a proficient IDP solution enable very competent categorisation of data. Classification engines are trained to recognise document types (invoices, receipts, bills of lading, bank statements etc.) through intelligence-based techniques and machine learning.

Data Extraction

Extraction of categorised data from a document requires artificial intelligence. A successful Document Processing platform is designed with an AI system that can be trained to detect and extract all relevant information within a document.

Validation of Data

A resourceful IDP solution leverages external databases and Humans-in-the-Loop workflows to verify/validate extracted data. Any information that does not match the specified requirements is highlighted for manual review.

Data Integration

The ultimate test of the efficacy of a Document Processing platform depends on how well it integrates with other business platforms. For enterprises, IDP platforms must seamlessly integrate with ERP and other business software or processes. The classified data and metadata converted to human-readable formats can greatly benefit accounting systems, Customer Relationship Management (CRM), ERP and Enterprise Content Management (ECM) systems.

Since the data revolution is here to stay, companies with intelligent data processing capabilities will have the cutting edge in staying ahead of innovation. End-to-end business process automation is the new norm, with unobtrusive IDP solutions that can be integrated and applied across business functions and industries.


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Is IDP part of Intelligent Automation or Hyper-Automation?

IDP is the innovation of consequently gathering, separating, and handling information from an assortment of report designs, from unstructured information or semi-organized information.

IDP applies Optical Character Recognition (OCR), Artificial Intelligence (AI), including Natural Language Processing (NLP), Computer Vision (Computer Vision), and Machine Learning (ML), permitting programming robots to peruse, examine, group, separate, and assess complex information. Information is an important resource for any association in the computerized change venture. In any case, over 80% of big business data sets are encoded in an unstructured or semi-organized design, for example, business archives, messages, pictures, or PDF reports. This intricate information requires more astute handling. In this way, IDP's capacity to handle complex information with the greatest exactness assumes a crucial part in stretching out the extent of computerization to even refined processes, empowering organizations to really streamline tasks and move toward hyper-automation more.

Associations are currently tackling the force of canny mechanization to expand proficiency and lessen human mistakes in their archive handling. Doing so gives them additional opportunity to zero in on higher-esteem errands and authoritative objectives. Late advancements in AI need to prompt basic forward leaps for smart robotization. Eventually, this sort of robotization was generally restricted in light of the fact that when a human peruses a report, thinking and decisive reasoning are involved. As people, we can rapidly recognize each archive type, grasp the importance of the data in the report, and judge in light of this data. Today, keen report handling becomes possibly the most important factor, as the product can peruse, comprehend and deal with records as people do in only a couple of moments.

Applications of Intelligent Document Processing

The best way to harness the full potential of a Document Processing platform is to develop document data literacy. Before developing a solution, a business should ideally look closely at the type of information available and the business outcomes related to that data. With this understanding, the IDP solution can be trained to organise and integrate available data and anticipate similar data in future. This integration of IDP’s capabilities with the company’s business values and goals will ensure that the right kind of data is extracted for a designated purpose. It is therefore important for a business to have an overall understanding of their data and use it to chart an intelligent workflow with the help of automation and process redesign.

Apart from governments and large organisations with huge data mines, innumerable industries are fast taking to Intelligent Document Processing to transform enormous depositories of documents into millions of data extractions on critical day-to-day workflows. Banks, Healthcare businesses, Consumables manufacturers and Industries are just a few sectors that use IDP for extracting information from:

ID CARDS

  • Passports
  • Driver’s licence

FINANCE

  • Purchase orders
  • Invoices
  • Receipts
  • Bank statements
  • Bills of lading

HEALTH CARE

  • Case histories
  • Test reports
  • Prescriptions and procedures

RENTING AND LEASING

  • Contracts and Leases

BANKING AND INSURANCE

  • Mortgage documents
  • Claims forms
  • Accord forms

INDUSTRIES

  • Industrial blueprints
  • Production analysis

TRAVEL

  • Airline data
  • Hospitality information
  • Tracking leisure and holiday activities

EDUCATION

  • Libraries and laboratories' inventory
  • School, college, and university examination result analysis
  • Fees, tuition and examination schedules
  • Sport and games training, schedules and inventory

TELECOMMUNICATION

  • User /usage data analysis

FOOD INDUSTRY

  • Agriculture production
  • Processed food consumption

MARKET ANALYSIS

  • Consumer preferences
  • Sales trends

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Benefits of Intelligent Document Processing

IDP is the most common way of changing over both unstructured and semi-organized data from reports like messages and pictures into an organized or structured manner. Then it can be utilized for making better experiences and cycles.

So next, we will investigate a portion of the centre's Intelligent Document Processing benefits beneath.

Productivity and Viability

One of the key Intelligent Document Processing benefits is the way that these apparatuses decrease the requirement for human mediation and work concentrated undertakings in many archive-driven work processes. The possible time that an individual might be required is assuming that there is an issue with the information, one which IDP arrangements can't fix.

As a matter of fact, utilizing these IDP arrangements, all that's needed is seconds to extricate, convert, sort, and record information. Furthermore, that incorporates unstructured reports. This can assist with making these significant business capabilities run much more actually.

Keep Cash Aside

One of the vital objectives for any business is having the option to reduce expenses and keep to a strict financial plan. Furthermore, Intelligent Document Processing can assist you with seeing reserve funds immediately. This is on the grounds that these Intelligent Document Processing arrangements decrease handling times, and that implies they can slice the need to recruit as numerous workers. Also, these devices can assist with saving money on other functional expenses.

You can accelerate your cycles

Taking care of huge amounts of information can be extremely tedious for any individual. Yet, the uplifting news is, that bots can quickly take care of handling colossal volumes of information like this. So another key Intelligent Document Processing benefit is the way that you can accelerate your cycles.

All things considered, physically entering information isn't just brained numbingly exhausting, yet it is likewise extremely work escalated and consequently takes some time. Notwithstanding, IDP arrangements can do in microseconds, which takes individuals a few minutes to do. Presently, a few minutes probably won't appear to be a great deal, yet these accumulate over the long haul.

Accordingly, Intelligent Document Processing arrangements are perfect for eliminating this time and making these cycles much more proficient.

Reduce Human Mistake Error

Tragically, human blunder occurs, particularly while you're attempting to immediately enter huge volumes of information. This can have various harming ramifications for a business, particularly in the period of GDPR. But since Intelligent Document Processing arrangements dispose of the requirement for manual work and information section, aside from managing any irregularities or issues, at least, this can hugely lessen the gamble of human blunder.

This implies it's speedier to extricate and coordinate information, yet it additionally prompts more exact quality data.

Consistency

On a comparative note, the way that Intelligent Document Processing arrangements can mechanize errands and decrease the gamble of human blunder likewise implies they can assist organizations with being more consistent. This is so significant in the present advanced world when individuals are developing progressively worried about the security of their information and how it's being utilized.

It likewise makes consistence a lot easier in light of the fact that IDP arrangements generally leave a computerized trail. This trail can then be utilized when reviewing and guaranteeing consistency with information insurance guidelines. Also that the protected innovation gives better network protection to guarantee the information inside is remained careful, secure, and can't be abused as it is simply open to approved faculty.

Versatile arrangements

Another significant Intelligent Document Processing benefit is that these arrangements can be applied to different applications. This implies that IDP is effectively adaptable and can assist with robotizing a few significant cycles across your business. Furthermore, this doesn't need establishment and on second thought fills in as a stage that can decipher a wide range of sorts of records, of various sizes and sources, without the need to set leads or introduce different programming.

It is not difficult to incorporate with your current tech stack

One of the last advantages of Intelligent Document Processing is that these arrangements can undoubtedly be incorporated with your current programming and equipment. This implies that you don't have to go out and burn through heaps of cash on new gadgets or innovations to make these work. All things considered, you can carry out these flawlessly in your current frameworks.

This makes the execution of Intelligent Document Processing arrangements a lot less complex, simpler, and savvier.


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Use Cases for Intelligent Document Processing

As we have already discussed the benefits of Intelligent Document Processing, you can get an idea that what can be cases where you can use this intelligence.

Medical Institutions

Speedy and exact archive handling is pivotal in the clinical business and Intelligent Document Processing makes this conceivable. These instruments help medical services experts, for example, specialists and medical attendants to deal with various authoritative errands, including:

  • Digitizing and refreshing clinical records
  • Getting to patient's notes
  • Managing patient enlistments
  • Overseeing solutions
  • Normalizing the clinical information base

This rundown of models isn't comprehensive and there are numerous different jobs and enterprises that expect IDP to keep things moving along as planned. For instance, humanities, HR, enrollment, and insurance agencies will all utilize Intelligent Document Processing arrangements here and there or another.

Financial Service

Essentially, bookkeeping and money associations manage a colossal measure of information, a lot of it delicate, every day. Accordingly, they utilize Intelligent Document Processing answers to assist them with day-to-day assignments like:

  • Paying solicitations
  • Overseeing costs
  • Finishing up expense forms
  • Overseeing finance

Features of an effective IDP platform

IDP platforms are designed for efficiency at every stage of converting paper-based and digital documents into precisely organised data. So, an effective Intelligent Document Processing solution is:

  • industry neutral
  • flexible to read, segregate & organize structured and unstructured information
  • scalable
  • compatible for integration with ERP systems and other software
  • cloud-based and on-prem support
  • equipped for classification and training with a visual interface

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Empower your business with IDP

Intelligent Document Processing is a key component of business process automation today. Effective data extraction and categorisation of information are essential to automate the majority of business processes that are now done manually. For businesses of all sizes and natures, data automation through Document Processing will save time and effort. In addition, it will empower businesses through various benefits like:

  • Cost-saving by drastically reducing the cost of processing large volumes of data. Knowledge workers can be utilised in other areas of business rather than in the resource-consuming data entry sector.
  • User-friendliness through intuitive GUI enables organisations to set up faster and automate more processes.
  • Enhanced accuracy in data processing with the use of AI. Human errors, omission and duplication of data can be completely avoided.
  • Higher Straight-Through Processing (STP): reducing the need for human intervention for manually processing documents. This in turn leads to reduced manpower, greater efficiency and significant cost saving.
  • Process efficiency that enables end-to-end automation of document-centric processes.
  • Supporting Business Goals: automated data processing boosts business goals like improving customer experience, enhancing product efficiency, reducing business costs, saving time on less productive processes and investing it in innovations.

Conclusion

Keen report handling expands human comprehension of unstructured information through information science apparatuses like PC vision, optical person acknowledgement, AI, and regular language handling in each phase of archive information. The justification for why insightful report handling (IDP) is acquiring consideration is that it gives troublesome answers for robotize information extraction projects that were beforehand incredibly troublesome, on the off chance that not difficult to settle.


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