Quick Summary
Structuring unstructured data is a challenge, but with artificial intelligence, the headache is no longer yours. From data collection through different sources and processing them to extract vital information for business, IDP saves time by not only fastening up the sluggish process but also eradicating the dependency on a manual workforce.
Table of Contents
What is an Intelligent Document Processing (IDP)?
Intelligent document processing combines AI, ML models, optical character recognition, and natural language processing to collect and process structured and unstructured data from paper-based and paperless documents.
Since data extraction is key and brings value to organizations, intelligent document processing solutions are worth your attention and investment. According to Nividuos statistics, AI-backed IDP processes data 10 times faster than manual processing while maintaining an accuracy of 99.99%. Besides, the intelligent document processing market is expected to grow threefold by 2027 compared to 2022, when it was just $1.1 billion.
Before jumping onto the Intelligent Document Processing use cases, let us share the core benefits of Intelligent Document Processing.
7 Benefits of IDP You Must Not Miss
Beyond extracting data from hard and soft copies, know what else Intelligent Document Processing can offer you. With the ample benefits, it is worth integrating or building a solution from scratch for your business. Let’s explore the intelligent document processing benefits in detail:
Speeding up processing documents
Intelligent document processing offers lightning-fast processing of documents such as invoices, loan applications, insurance claims, etc. Data extraction with IDP means minimal processing times and a null workforce – ain’t a great IDP benefit.
Productivity enhancement
Since most document processing tasks are automated, your employees will have more time to focus on strategic initiatives and maximize their expertise in what they do best. No more time and energy-draining, and high efficiency is w
Electronic storage of documents
Say goodbye to file cabinets and paper trails, and welcome a paperless revolution with intelligent document processing. As a result, document retrieval becomes more accessible with just a few clicks.
Quite economical
Intelligent document processing is a cost-saving technological advancement because it can perform the tasks of hundreds of men at once. Besides, you can expect zero errors since no human intervention or manual review is required.
Accuracy
Artificial intelligence eliminates errors and flaws commonly found in manual data entry, so millions of organizations have accepted Intelligent Document Processing (IDP) in a shorter time. According to the study by Roboyo, IDP reduces processing time by 50% and promises zero errors and flaws.
Improve customer experience
Intelligent Document Processing benefits businesses by allowing employees to focus on strategic decision-making processes. IDP also ensures the smooth expedition of documents like insurance claims, bank statements, receipts, and loan approvals.
Scalability
Intelligent document processing does not have an issue with scalability since it can process one or more different document types simultaneously without any hindrance. You focus on business growth and let the IDP take over heavy processing tasks.
Integration possibilities
IDP easily integrates with existing documenting software, enterprise resource planning, or business applications. As a result, you can utilize the potential of intelligent document processing across departments and within your organization.
Achieve security and compliance.
Intelligent document processing ensures secure document processing with several features, such as access control and audit trails. You can always expect compliance with regulations and safeguard confidential information with peace of mind.
Replace Hard Work with Smart Work
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Standard Workflow Challenges AI Document Processing Tools Overcome
The biggest productivity killer is manual tasks; not automating those tasks means you are unnecessarily killing your productivity and draining your capital. AI document processing tools are simple solutions to workflow challenges, but before that, let us discuss the list of challenges that can bog down your employees under the paper avalanche.
Difficulty Managing High Volume of Data
It’s no wonder that data grows with business expansion. Still, a manual method for data processing might become a challenge, eventually leading to delays, deadline misses, and high customer bounce rates.
However, with AI document processing tools, handling a high volume of data will be a minute task with 100% accuracy. Besides, you can even scale and increase your business efficiency as your data increases.
Compliance Failure
Another major challenge in manual document processing is negligence, errors, or missed documents, which can lead to compliance failure, attract penalties, and damage a business’s reputation.
To overcome the challenges, we have introduced AI document processing tools that come with automated auditing trails of documents. The tool even notifies us of discrepancies and ensures compliance protocols are followed.
Unstructured Data
Businesses deal in several documents, like invoices, contracts, purchase orders, and emails; each has a template that collectively remains unstructured. Due to the differences in the template structure, extracting particular information from any document becomes daunting.
But worry no more; AI algorithms efficiently manage to evaluate the semantics of unstructured data. Besides, AI tools even help identify and fetch information from unstructured data. As a result, there’s no need for a workforce and too much tie investment behind document processing activities.
Incapable of Operating with Existing Systems
Sometimes, data doesn’t seem to integrate quickly, and you are left with the only option: manual data entry. The frustration piles up, making the process inefficient.
Besides, intelligent document processing tools guarantee integration of your existing systems without disrupting operations. These tools ensure the data conversion and extraction are in the same format your existing systems use.
Unable to Process Different Languages
Document processing does not necessarily need to be done in the same language; there could be times when you might have documents in different languages from different natives. The challenge is to process them since the workforce processing documents leads to heavy time and resource investment. Besides, the chances of errors tend to be high due to human negligence.
Unlike humans, AI has no limitations in understanding languages, so AI tools for document processing are in high demand. These tools process documents with accuracy and no language hindrance. Therefore, avoid troubling your customers for translation.
Unclear Documents
Data processing manually presents challenges, including more visibility and proneness to errors. As a result, it becomes challenging to monitor progress, control the process, and determine issues and remediations.
AI document processing is enabled with optical character recognition, which gives you a real-time check into the entire process. You can expect document status, accuracy, and errors or flaws, if any. With transparency, you would have a better chance of overcoming problems and ensuring control over the process.
Inaccurate Data
Humans commit errors, but inaccuracies, wrongful decisions, and non-compliance offenses can only be expected if error-prone data is fed into the system.
With AI document processing tools, you no longer have to make manual data entries, resulting in errors being eliminated. The tools are built using AI and ML to precisely identify, fetch, and evaluate data while maintaining accuracy.
Get Your Automation Tool Built or Integrated Now
Hire AI engineers to leverage IDP, equivalent to hundreds of employees hired for document processing.
How does Intelligent Document Processing work?
Intelligent Document Processing involves six steps that ensure your handy or virtual documents are processed and evaluated thoroughly. After the mentioned process, the data is successfully extracted from those documents.
Document Collection
The first process involves collecting documents from various sources, including emails, Google Drive, cloud storage, third-party apps, and scanning physical documents. AI document processing tools should allow integrations, support APIs, and enable multiple doc formats, like PNG, PDF, and JPEG. As a result, text will be included while the document is being processed.
Pre-Processing
Once the documents are collected from all the sources, they are passed through pre-processing to initiate texts. Several techniques are included, such as skew correction, image denoising, binarization, and border removal. Besides, a lot of cleaning is done, removing filler texts and irrelevant information and converting the documents into the most suitable format for data extraction.
Classifying Documents
Beyond processing, IDP also classifies documents based on the text and format using natural language processing and machine learning techniques. As a result, extracting information and routing documents would be much easier with IDP.
As the name suggests, this stage extracts text from the uploaded document in the IDP system. The tool learns from daily document additions and manual modifications, making it quicker for IDP tools to manage structured and unstructured documents.
Extracting and tracking information from structured documents became easier using preset conditions since they have a consistent layout. AI developers utilize natural language processing to extract data and text from unstructured documents, like contracts or emails.
Evaluating & Validating
Once data is extracted from structured and unstructured documents, AI tools evaluate and validate it. The data output is verified against the pre-defined rules on which the AI tool is trained. Upon identification, any discrepancies will be immediately reported.
Post Processing
Lastly, the evaluated data is explicitly distributed to the concerned department. It allows the exporting of text and other data to your enterprise resource management or customer relationship management systems. Besides, AI tools enable the conversion of extracted data into a format suitable for the stakeholders’ applications.
Intelligent Document Processing Use Cases - Industry Wise
Artificial intelligence document processing is versatile in terms of languages and industry. We have covered the impact and benefits of IDP on each sector.
Industries |
What IDP Does? |
How IDP Benefits to Customers |
IDP in Insurance |
✔Analyzes documents for context and extracts nuanced information.
✔Automates document classification for efficient claim routing.
✔Identifies potential fraudulent claims through document analysis.
|
✔Improved accuracy in claim processing and reduced risk of errors or delays.
✔Reduced processing costs and improved efficiency for insurance companies.
✔Faster claim intake and reduced processing times. |
IDP in Legal |
✔Extracts key information from contracts, agreements, and legal documents.
✔Identifies relevant clauses and redacts sensitive data.
✔Simplifies document review and analysis.
|
✔Streamlines legal processes and document management.
✔Reduces time spent on manual document review.
✔Improves accuracy and efficiency in legal tasks. |
IDP in Education |
✔Automates data extraction from student transcripts, applications, and registration forms.
✔Verifies student information and qualifications.
✔Streamlines admissions and enrollment processes. |
✔Reduces time spent on administrative tasks.
✔Improves efficiency in student record management.
✔Enhances the student enrollment experience. |
IDP in Onboarding/KYC |
✔Extracts data from ID cards, passports, and utility bills.
✔Verifies customer information against databases.
✔Automates customer onboarding forms
|
✔Faster customer onboarding.
✔Reduced errors and fraud risk.
✔Improved regulatory compliance.
|
IDP in Logistics |
✔Automates data extraction from shipping documents (bills of lading, invoices).
✔Tracks shipment progress and identifies potential delays.
✔Manages customs documentation. |
✔Improved shipment visibility and tracking.
✔Reduced delivery times and errors.
✔Streamlined customs clearance processes. |
IDP in Loan Processing |
✔Extracts data from income verification, tax returns, bank statements, and asset statements.
✔Automates document classification for different loan types.
✔Analyzes documents for inconsistencies and identifies potential fraud. |
✔Faster loan processing times and improved customer satisfaction.
✔Reduced errors and minimized the risk of fraudulent loan applications.
✔Reduced processing costs and improved data accuracy for informed decisions.
|
IDP in Finance |
✔Automates data extraction from invoices, bank statements, and financial reports.
✔Reconciles accounts and identifies discrepancies.
✔Streamlines financial reporting and analysis. |
✔Increased efficiency in accounts payable and receivable.
✔Improved financial data accuracy and insights.
✔Reduced time spent on manual tasks. |
IDP in Healthcare |
✔Automates data extraction from medical records, prescriptions, and insurance claims.
✔Improves patient record accuracy and completeness.
✔Streamlines billing and coding processes.
|
✔Improved patient care coordination.
✔Reduced administrative workload for healthcare providers.
✔Increased efficiency in healthcare claims processing |
IDP in Human Resources |
✔Automates data extraction from resumes and job applications.
✔Verifies candidate information and qualifications.
✔Streamlines the recruitment process. |
✔Reduces time spent on candidate screening.
✔Improves efficiency in talent acquisition.
✔Enhances the candidate experience. |
Conclusion
With AI’s involvement, automation isn’t a big thing now; a luxury once is now a necessity. Most organizations (small, medium, and large) have started adopting cutting-edge technology and brilliant automation processing because they can structure all unstructured data and extract vital information.
Connect with a leading AI development company to optimally embrace intelligent document processing and relieve your company and customers’ stress. With more than a decade of experience, we know what businesses want and how to benefit their customers, and delivering on time has been our motto.
Frequently Asked Questions (FAQs)
Optical Character Recognition (OCR) converts images into text, useful for digitized scan documents. The drawback of OCR is it doesn’t understand the context of the text. On the other hand, intelligent document processing (IDP) not only understands texts but also extracts information and categorizes them.
IDP is ideal for businesses with complex data, including invoices, receipts, contracts, and applications. Its benefits include eliminating human resources for data entry work and offering percent accuracy.
Absolutely. AI software built by our developers will process your PDF documents. You can request a demo to understand the practical benefits of IDP.
Yes, IDP supports multiple languages, which makes it the go-to AI-backed software for most organizations dealing across borders.
Yes, you can share your existing software with us, and your requirements from the new integrations, and our skilled AI developers will do it for you in half the time compared to others. We use artificial intelligence to save time and ensure our client’s software builds quickly.
The cost of IDP can vary depending on factors like:
- Deployment Model: Cloud-based intelligent document processing solutions typically have lower upfront costs than on-premise deployments. The average cost ranges around $199/month per document type with a set processing limit.
- Document Volume: Higher volume processing usually leads to tiered pricing with lower per-document costs.
- Customization: Custom models for specific document types might incur additional fees.