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Top 8 Intelligent Document Processing (IDP)

ABBYY FlexiCaptureWorkFusionIQ BotIBM DatacapKofax TotalAgilityHyperScienceEphesoft TransactGrooper
  1. leader badge
    Its ease of use is valuable. It is easy to use and configure.The most valuable feature of ABBYY FlexiCapture is the accuracy of the general extractions.
  2. leader badge
    WorkFusion helps by speeding up processes. The process takes time. It has business costs associated because there are people waiting to take the next steps in the process. The end result of waiting, whether it is an internal or external team, is that they are delayed. Therefore, it helps us in speeding up business processes and improving employee morale, as people don't have to do repetitive work anymore.
  3. Buyer's Guide
    Intelligent Document Processing (IDP)
    July 2022
    Find out what your peers are saying about ABBYY, WorkFusion, Automation Anywhere and others in Intelligent Document Processing (IDP). Updated: July 2022.
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  4. leader badge
    IQ Bot has helped my organization transform digital documents and files into information to be processed.The most valuable feature of IQ Bot is the Discovery Bots. They can detect and analyze for improvements.
  5. I can have all scanners accessible from my end. The feedback from our clients that this solution has increased their efficiency and their turnaround time on opening any account for end users, thus attracting more customers.
  6. Great with recognition providing a high level of confidence.It is user-friendly and has good documentation. It's good for developing communication and has a lot of the APIs needed for this purpose. There aren't a lot of software options available from this time period; this is the only one from 2013 that has this concept of microservices.
  7. Has algorithms that can detect a document template even if the image has a lot of distortions.We have seen pretty good accuracy.
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  9. Transact's best feature is its ease of customization.I like the inject feature. With desktop injects, we're doing all these things and extracting these things. Its stable, scalable, and technical support is good.
  10. Grooper processes difficult sorts of data and unstructured or semi-structured content very well. It's probably one of the better solutions I've seen compared to other solutions I've seen out there. It does a lot more things like segmentation extraction. It does it a lot better. Grooper has more focus on these types of freeform documents where other solutions are very generic and this is a little more elaborate in what they've done. I think they take it to the next level of extracting freeform data.

Advice From The Community

Read answers to top Intelligent Document Processing (IDP) questions. 621,548 professionals have gotten help from our community of experts.
Netanya Carmi - PeerSpot reviewer
Netanya Carmi
Content Manager
PeerSpot (formerly IT Central Station)
Netanya Carmi - PeerSpot reviewer
Netanya Carmi
Content Manager
PeerSpot (formerly IT Central Station)
May 12 2022


Srinivas Marneni - PeerSpot reviewer
Srinivas MarneniSee, first, it depends on your documents, like structured, unstructured or… more »
2 Answers

Intelligent Document Processing (IDP) Articles

waqarahmad3391 - PeerSpot reviewer
Senior SEO Expert at Developers studio
Process automation is loosely taken to mean the use of applications or software to automate any business process. Without over-complicating the definition, we can say that process automation is the use of technology to perform a business process. Many process automation tools use Artificial I...
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Kateq - PeerSpot reviewer
Consultant at a tech company with 10,001+ employees
Intelligent Document Processing (or IDP) is the missing link towards implementing end-to-end automation, especially in paper-based work environments. Paper still forms a part of business operations and wherever paper is involved, latency and error due to human handling does creep in. OCR does ena...
Read More »

Intelligent Document Processing (IDP) Topics

How does intelligent document processing work?

This kind of document processing not only scans a document but also makes it intelligible, extracting the content, the layout, and even the images. Intelligent document processing is a form of intelligent process automation (IPA) that combines technologies such as natural language processing (NLP) and machine learning (ML) to automate tasks in document processing.

IDP helps organizations that receive a high volume of unstructured and semi-structured data. Unstructured documents like sales orders, invoices, and such, usually cannot be processed using traditional automation software.

Intelligent document processing involves several steps:

  1. Before processing: IDP solutions apply techniques to improve the quality of documents. These include noise reduction, binarization, and de-skewing.
  2. Processing images: IDP uses computer vision technology to identify text, graphs, and pictures. Computer vision is a subfield of artificial intelligence that aims to help computers observe and understand image data.
  3. Extracting and classifying data: At this stage, the IDP solution uses natural language processing (NLP) to understand and give context to human language. This means that after IDP extracts the text, NLP is used to classify and make sense of the documents. It categorizes the document’s components into text and images. For example, processing a loan application can include ID documents, tax forms, bank statements, etc. An IDP tool parses out these different components, categorizing them for the next stage. This is one of the key deliverables of an IDP tool - detecting important information and extracting it for processing. It does this by using libraries of pre-trained extraction models.
  4. Data validation: IDP tools leverage pre-configured databases to validate the data they extract from documents. At this stage, problematic data is delivered to human agents for review.
  5. Integration: The last stage of the IDP process involves integrating the data into the organization’s existing systems.
Why is intelligent document processing important?

IDP helps organizations combine the data from paper documents with the massive amounts of digital data available. It provides organizations with visibility and a comprehensive evaluation of the data. IDP also facilitates end-to-end process automation. Since it can be integrated into any platform, it helps streamline processes. Additionally, this technology helps other AI analytics and machine learning processes, which require structured data to train and operate.

How is IDP different from OCR?

OCR (optical character recognition) is a technology that captures and converts an image into machine-readable text. This process is useful for digitizing documents. However, it doesn’t extract context from the content or interpret the data.

Here is where IDP comes in. IDP uses OCR technology to convert an image of the text into readable text. Next, it uses machine learning and deep learning to classify, interpret, and process the data. Additionally, the data can automatically integrate existing workflows for further processing.

IDP goes beyond OCR capabilities, processing a wide range of paper and digital documents, unstructured and structured data, handwritten text, etc. IDP recognizes and captures the content and extracts the context from the content.

As an example, processing a simple check requires several layers of processing:

  • Recognizing the type of check and the bank that issued it.
  • Capturing the digital text printed by the bank and the text handwritten by the user.
  • Recognizing the amount in numbers and text.
Benefits of Intelligent Document Processing Tools

Intelligent document processing identifies and extracts data from documents, processing it so it can be ready for analysis. Some benefits of intelligent document processing tools include:

  • Increased efficiency: Manual document processing is prone to error, and costly in both human hours and paper. The automation feature of IDP reduces errors and reduces the cost and time involved in manual document processing.
  • Improved compliance and security: IDP produces increased accuracy in document verification, enhancing compliance and management of sensitive documents. IDP takes the humans out of handling sensitive data in personally identifiable information documents. IDP can streamline the accuracy of regulatory reports.
  • Better data quality: IDP provides organizations with easy, reliable, and accurate access to the data contained in unstructured documents like emails, texts, PDFs, and scanned documents. By verifying, analyzing, and processing the data, IDP improves the overall quality of the data for the organization.
Features of Intelligent Document Processing Tools

Intelligent document processing converts unstructured data from documents into structured data. It classifies, extracts, and automates the processing of data from documents. There is an array of document processing solutions, offering a range of features. What should you focus on when trying to select an intelligent document processing tool?

  1. Look for a solution that automates the extracting of unstructured/semi-structured data. The solution should eliminate manual processes such as data entry.
  2. It should integrate with existing systems, including accounting and workflow processing.
  3. The solution should be able to decipher scribbles, handwriting, and difficult content.
  4. Some IDP solutions automate document creation by gathering data from distributed sources.
  5. It should help digitize paper documents, streaming them into machine-readable formats that can be processed down the line.
Buyer's Guide
Intelligent Document Processing (IDP)
July 2022
Find out what your peers are saying about ABBYY, WorkFusion, Automation Anywhere and others in Intelligent Document Processing (IDP). Updated: July 2022.
621,548 professionals have used our research since 2012.