Intelligent Document Processing (IDP)

Automatically extract information from any official document and seamlessly integrate data into Business Process Automation workflows.

Intelligent Document Processing (IDP)

Automatically extract information from any official document and seamlessly integrate data into Business Process Automation workflows.

What are the functions of IDP?

Pull and coordinate data from complex sources and all types of documents

Intelligent Document Processing (IDP) solutions aim to take unstructured, partially structured, and semi-structured data and convert it into usable information. An effective digital transformation is centered around business data. 

The vast majority of this business data exists in unstructured states such as virtual documents (PDFs, spreadsheets, etc.), paperwork, images, emails, and other business documents. 80% of business data exists in these unstructured formats. 

IDP is one of the fundamental technologies amongst the newest generation of automation solutions. Intelligent processing can aggregate, export, and move data in a multitude of document formats and presentations. Deep Learning, Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision are some of the leading AI technologies that IDP uses to read, extract, classify, authenticate, and process data.

What are the functions of IDP?

  • Cropping
  • Deskewing
  • Image binarization
  • Sharpening & noise reduction

Document Classification via AI

  • Google Vision
  • Optical Character Recognition
  • NLP techniques
  • Machine Learning (Supervised & Unsupervised)

Data Extraction

  • Google Vision
  • Optical Character Recognition
  • Hand writing
  • NLP techniques
  • Machine Learning (Supervised & Unsupervised)    
  • Deep Learning

Domain Specific Validation

  • Rules - Scripts
  • Regular Expression
  • Fuzzy Logic
  • Data Cleaning & Linking

Enhanced Validation

  • Data cross referencing- RPA bots

Human-in-the-Loop Validation

  • Supervised ML via HITL

What are the functions of IDP?

Pull and coordinate data from complex sources and all types of documents

Intelligent Document Processing (IDP) solutions aim to take unstructured, partially structured, and semi-structured data and convert it into usable information. An effective digital transformation is centered around business data. 

The vast majority of this business data exists in unstructured states such as virtual documents (PDFs, spreadsheets, etc.), paperwork, images, emails, and other business documents. 80% of business data exists in these unstructured formats. 

IDP is one of the fundamental technologies amongst the newest generation of automation solutions. Intelligent processing can aggregate, export, and move data in a multitude of document formats and presentations. Deep Learning, Machine Learning (ML), Natural Language Processing (NLP), and Computer Vision are some of the leading AI technologies that IDP uses to read, extract, classify, authenticate, and process data.

What are the functions of IDP?

  • cropping
  • deskewing
  • image binarization
  • sharpening & noise reduction

Document Classification via AI

  • Google Vision
  • Optical Character Recognition
  • NLP techniques
  • Machine Learning (Supervised & Unsupervised)

Data Extraction

  • Google Vision
  • Optical Character Recognition
  • Hand writing
  • NLP techniques
  • Machine Learning (Supervised & Unsupervised)    
  • Deep Learning

Domain Specific Validation

  • Rules - Scripts
  • - Regular Expression
  • - Fuzzy Logic
  • - Data Cleaning & Linking

Enhanced Validation

  •  data cross referencing- RPA bots

Human-in-the-Loop Validation

  • Supervised ML via HITL

The data in your enterprise holds is Invaluable

IDP enhances business processes by making all data accessible

The volume of data in organizations hold is constantly expanding

According to studies conducted by ten International Data Corporation, worldwide data is projected to surpass 175 zettabytes in just a few short years. This data is siloed in paperwork, text messages, PDFs, tools, widgets, and emails. When all these data sources are prevented from easily interacting, it becomes a big stopper for automation and thus prevents true digital transformation.

The data in your enterprise holds is Invaluable

IDP enhances business processes by making all data accessible

The volume of data in organizations hold is constantly expanding

According to studies conducted by ten International Data Corporation, worldwide data is projected to surpass 175 zettabytes in just a few short years. This data is siloed in paperwork, text messages, PDFs, tools, widgets, and emails. When all these data sources are prevented from easily interacting, it becomes a big stopper for automation and thus prevents true digital transformation.

Intelligent Document Processing deciphers unstructured data sources

This is an often-overlooked aspect of RPA.  At a high enough level anything can sound simple such as “Deliver widget to customer”.  As we saw in the example above there are multiple steps involved in completing the transaction.  This can be further exacerbated by something as simple as orders coming from multiple locations (email, fax, direct, etc.).  Many organizations hope for a silver bullet in which an outside firm comes in and automates systems without any involvement from their employees.  This simply isn’t the case as the process must be defined and reviewed by those performing the actual work.

Intelligent Document Processing deciphers unstructured data sources

This is an often-overlooked aspect of RPA.  At a high enough level anything can sound simple such as “Deliver widget to customer”.  As we saw in the example above there are multiple steps involved in completing the transaction.  This can be further exacerbated by something as simple as orders coming from multiple locations (email, fax, direct, etc.).  Many organizations hope for a silver bullet in which an outside firm comes in and automates systems without any involvement from their employees.  This simply isn’t the case as the process must be defined and reviewed by those performing the actual work.

RPA and AI go hand in hand

IDP and RPA work best in tandem and simplify the digital transformation cycle. These two can seamlessly integrate both of these technologies with organizational processes. APIs, integrations, and multi-cloud features make these tools ideal for scaling.

RPA and AI go hand in hand

IDP and RPA work best in tandem and simplify the digital transformation cycle. These two can seamlessly integrate both of these technologies with organizational processes. APIs, integrations, and multi-cloud features make these tools ideal for scaling.

Intelligent Document Processing (IDP) provides:

Optimization of Processes

Automating end-to-end process automation and enhancing document-centric processes boosts efficiency

Intuitive Structure.

asy adoption and implementation increases speed to market

Acceleration Reaching Targets.

Goals, such as improving client relations, are supported by the benefits of process automation

Expense Reduction.

The optimization process has direct cost savings associated with using and encrypting data

Diminish Errors

AI and ML drastically decrease margins for errors

Speed Up Automated Transactions

Automation removes the need for a manual or supervised process by increasing opportunities for straight-through processing (STP).

Intelligent Document Processing (IDP) provides:

Optimization of Processes

Automating end-to-end process automation and enhancing document-centric processes boosts efficiency

Intuitive Structure.

asy adoption and implementation increases speed to market

Acceleration Reaching Targets.

Goals, such as improving client relations, are supported by the benefits of process automation

Expense Reduction.

The optimization process has direct cost savings associated with using and encrypting data

Diminish Errors

AI and ML drastically decrease margins for errors

Speed Up Automated Transactions

Automation removes the need for a manual or supervised process by increasing opportunities for straight-through processing (STP).

What advantages result from combining IDP and RPA?

Organization members are granted the benefits of automation and can quickly adapt IDP toolson their own

An automation strategy is only as good as the data it has.  The more data an organization has access to, the more effective its automation can be. 

RPA is heavily reliant on data extraction to run efficiently. In many cases, RPA relies on a third party to conduct data extraction. Having this process siloed result can quickly create bottlenecks and effects in avoidable costs. Data extraction is a significant barrier to automating manual processes.  By having IDP work within RPA, the methods can synchronize and produce end-to-end automation.

What advantages result from combining IDP and RPA?

Organization members are granted the benefits of automation and can quickly adapt IDP toolson their own

An automation strategy is only as good as the data it has.  The more data an organization has access to, the more effective its automation can be. 

RPA is heavily reliant on data extraction to run efficiently. In many cases, RPA relies on a third party to conduct data extraction. Having this process siloed result can quickly create bottlenecks and effects in avoidable costs. Data extraction is a significant barrier to automating manual processes.  By having IDP work within RPA, the methods can synchronize and produce end-to-end automation.

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