Every document that enters a business contains information that needs to be reviewed, organized and delivered to the right people or systems. From invoices and contracts to insurance claims, patient records and incoming mail, managing this information is an essential part of daily operations. Manually sorting documents, extracting key details and entering data into business systems requires significant time and resources, often creating processing delays, inconsistencies and opportunities for human error.
Intelligent Document Processing (IDP) is changing how businesses handle these tasks by combining artificial intelligence (AI), machine learning and document automation to transform unstructured information into usable business data.
But what exactly is Intelligent Document Processing, how does it work and what benefits can it provide?
In this guide, we’ll explain how IDP technology works, how it differs from traditional document scanning and OCR, and how businesses can use it to streamline document-heavy workflows.
What Is Intelligent Document Processing (IDP)?
Intelligent Document Processing (IDP) is a technology-driven approach that uses artificial intelligence, machine learning and optical character recognition (OCR) to automatically classify documents, extract relevant information, validate data and route it into business systems.
Unlike traditional document processing methods that rely heavily on manual data entry, IDP can identify and capture information from structured, semi-structured and unstructured documents.
For example, instead of having an employee manually open an invoice, identify the vendor, enter the invoice number and payment amount, and upload the information into an accounting system, IDP can automate much of that process.
The result is faster document processing, reduced manual effort and more consistent access to business-critical information.
IDP can be used with both physical documents that have been scanned and digital documents received through email, portals or other electronic channels.
How Does Intelligent Document Processing Work?
Intelligent Document Processing typically follows six steps to transform documents into structured, actionable information.
1. Document Capture
The process begins when documents enter the organization.
Documents may arrive through several channels, including:
- Physical mail
- Email attachments
- Scanned documents
- Online forms
- Customer portals
- Electronic file transfers
Physical documents are digitized using document scanning technology, while digital files can be ingested directly into the processing system.
2. Document Classification
Once documents are captured, AI-powered classification technology identifies the type of document being processed.
For example, an IDP solution may distinguish between invoices, contracts, insurance claims, purchase orders and correspondence.
Classification allows documents to be organized and directed into the appropriate workflow without requiring employees to manually sort each file.
3. Data Extraction
After classification, IDP extracts relevant information from the document.
Depending on the document type, this might include:
- Customer or patient names
- Invoice numbers
- Payment amounts
- Account numbers
- Dates
- Policy numbers
- Vendor information
- Contract terms
IDP combines technologies such as OCR, machine learning and natural language processing (NLP) to identify information even when documents have different layouts or formats.
4. Data Validation
Extracted information is checked against predefined business rules, reference data or other validation criteria.
For example, an invoice total may be checked against its line items, or an account number may be compared with existing records.
Documents with missing information, inconsistencies or low-confidence extraction results can be flagged for human review.
Human validation remains an important part of many IDP workflows, particularly when processing sensitive, complex or high-value documents.
5. Document Routing and Integration
After information has been extracted and validated, it can be delivered to the appropriate business application or workflow.
Depending on the organization’s technology environment, IDP may integrate with:
- Enterprise resource planning (ERP) systems
- Customer relationship management (CRM) platforms
- Document management systems (DMS)
- Accounting software
- Claims management systems
- Business process automation platforms
These integrations help reduce duplicate data entry and make information available to the employees and systems that need it.
6. Exception Handling and Continuous Improvement
Not every document can be processed without intervention.
Poor scan quality, unusual formats, missing fields and inconsistent information may require additional review.
An effective IDP workflow identifies these exceptions and directs them to employees for resolution.
Some IDP systems also use reviewed examples and feedback to improve classification and extraction performance over time, depending on their underlying technology and configuration.
Intelligent Document Processing vs. OCR: What’s the Difference?
One of the most common questions businesses ask is whether Intelligent Document Processing is the same as optical character recognition.
Although the technologies are related, they serve different purposes.
OCR converts text from scanned images or documents into machine-readable text. IDP goes further by identifying document types, extracting meaningful information, validating data and supporting automated workflows.
|
Feature |
Traditional OCR |
Intelligent Document Processing |
|
Converts scanned text into digital text |
Yes |
Yes, often using OCR |
|
Identifies document types |
Not typically |
Yes |
|
Extracts specific business data |
Requires additional configuration or tools |
Yes |
|
Handles varying document layouts |
Limited on its own |
Designed to support varying layouts |
|
Validates extracted information |
Requires additional systems |
Can be built into the workflow |
|
Supports automated document routing |
Requires additional tools |
Yes |
|
Uses AI and machine learning |
Not necessarily |
Commonly |
For businesses that simply need searchable digital copies of paper documents, OCR may be sufficient.
However, organizations that need to extract information, eliminate manual data entry and automate document workflows may benefit from Intelligent Document Processing.
What Are the Benefits of Intelligent Document Processing?
IDP can help organizations improve how they manage documents and the information contained within them.
Reduced Manual Data Entry
Employees no longer need to manually enter every piece of information from incoming documents.
By automating repetitive extraction and classification tasks, IDP allows teams to spend more time on exceptions, customer service and higher-value responsibilities.
Faster Document Processing
Manual document processing often involves multiple steps, including opening files, reviewing information, entering data and forwarding documents.
IDP can automate portions of this workflow, helping businesses reduce processing delays and move information to the right systems more quickly.
Improved Data Accuracy
Manual data entry introduces opportunities for typing errors, missed fields and inconsistent formatting.
IDP can improve consistency by applying standardized extraction and validation rules.
When combined with human review for exceptions, organizations can establish a more reliable document processing workflow.
Lower Operational Costs
Reducing repetitive manual tasks can lower the labor required to process documents.
Organizations may also reduce costs associated with correcting errors, handling misplaced documents and managing inefficient paper-based workflows.
Actual savings depend on document volumes, complexity, existing processes and the level of automation achieved.
Better Document Visibility
IDP can help organizations track documents as they move through processing workflows.
When paired with a document management system, businesses can improve access to information, support audit trails and reduce time spent searching for records.
Greater Scalability
Document volumes are not always predictable.
Businesses may experience increases during billing cycles, enrollment periods, claims processing or seasonal operations.
IDP can help organizations handle changing document volumes without increasing manual processing resources at the same rate.
What Types of Documents Can Intelligent Document Processing Handle?
IDP is used to process a wide variety of business documents.
Common examples include:
- Invoices and purchase orders: Extracting vendor names, invoice numbers, amounts and payment terms.
- Insurance claims: Capturing claim numbers, policy information, dates and supporting details.
- Healthcare documents: Identifying patient information, insurance details and billing data.
- Contracts and agreements: Extracting names, dates, contract identifiers and relevant terms.
- Financial documents: Capturing transaction details, account information and remittance data.
- Business correspondence: Classifying incoming letters and routing them to the appropriate department.
- Application forms: Extracting applicant information and validating required fields.
The specific document types and fields supported depend on the IDP solution and how it is configured.
Which Industries Benefit Most From Intelligent Document Processing?
Although nearly any document-heavy business can benefit from IDP, certain industries have particularly strong use cases.
Healthcare
Healthcare organizations manage large volumes of patient correspondence, insurance documentation, billing records and other sensitive information.
IDP can help extract patient identifiers, classify documents and route information into appropriate workflows.
When handling protected health information (PHI), organizations must also consider HIPAA requirements, access controls and secure processing practices.
Insurance
Insurance companies process claims, applications, policy documents and customer correspondence.
IDP can help automate document classification and extract information needed for underwriting, claims administration and policy servicing.
This reduces the manual effort involved in managing large volumes of incoming documents.
Accounts Payable and Finance
Accounts payable departments frequently receive invoices in different formats and through multiple channels.
IDP can capture invoice details, validate information and deliver structured data to accounting or ERP systems.
By reducing manual invoice entry, businesses can improve processing efficiency and help avoid payment delays.
Banking and Financial Services
Financial institutions handle applications, account documentation, statements and other records containing important customer information.
IDP can support data capture, document classification and workflow automation while helping organizations maintain consistent processing procedures.
Government and Public Sector
Government agencies often manage applications, permits, forms and records that require careful classification and data entry.
IDP can help reduce administrative workloads and make information more accessible for authorized employees.
How Does Intelligent Document Processing Work With a Digital Mailroom?
Intelligent Document Processing and digital mailroom services work together to automate incoming business mail.
A digital mailroom handles the receipt, preparation, scanning and digital delivery of physical mail. IDP adds another layer of automation by identifying documents and extracting the information businesses need from them.
For example, when an organization receives an invoice through the mail, a digital mailroom can:
- Receive and track the incoming envelope.
- Open, prepare and scan the document.
- Use IDP to classify the document as an invoice.
- Extract relevant information such as vendor name, invoice number and amount due.
- Validate the extracted information and flag exceptions for review.
- Deliver the document and structured data to the appropriate accounting system or workflow.
This combination helps businesses move beyond simply digitizing mail to automating the information and processes associated with incoming documents.
For organizations receiving high volumes of paper mail, integrating IDP with an outsourced digital mailroom can significantly reduce the need for manual sorting, data entry and internal mail distribution.
How Does Recordsforce Use Intelligent Document Processing?
Recordsforce helps businesses automate document-heavy processes through Intelligent Document Processing, document scanning, digital mailroom services and document management solutions.
Rather than requiring organizations to manage every stage of document processing internally, Recordsforce combines document capture technology, AI-powered classification, data extraction, human validation and workflow automation.
Depending on business requirements, Recordsforce can help organizations:
- Capture physical and digital documents.
- Classify documents by type.
- Extract critical business information.
- Validate extracted data.
- Route documents and data to the appropriate systems.
- Manage documents through Recordsforce Cloud or supported delivery methods.
For example, an accounts payable department receiving hundreds or thousands of invoices can use Recordsforce’s document processing services to reduce manual invoice entry and streamline the flow of information into existing business systems.
By combining automation technology with human quality assurance, Recordsforce helps organizations build reliable document workflows without needing to develop and maintain the entire processing infrastructure themselves.
How Do You Choose an Intelligent Document Processing Solution?
Selecting the right IDP solution requires more than comparing AI capabilities.
Businesses should evaluate how well the technology fits their documents, workflows, security requirements and existing systems.
Important questions to ask include:
What document types can the solution process?
Make sure the provider supports the formats and document categories your business regularly receives.
How does the solution handle exceptions?
Understand what happens when information cannot be extracted accurately or when a document requires human review.
Can the solution integrate with existing systems?
Look for delivery and integration options compatible with your document management, accounting, ERP or other business applications.
What security controls are in place?
Evaluate encryption, access controls, audit trails, data handling procedures and relevant compliance requirements.
How is performance measured?
Ask providers about field-level extraction accuracy, straight-through processing rates, turnaround times and validation requirements.
Can the solution scale with document volumes?
Consider how the system handles peak periods, new document types and changing operational needs.
For organizations that lack the resources to manage IDP technology internally, outsourcing document processing to an experienced provider may offer a more practical approach.
Frequently Asked Questions About Intelligent Document Processing
Is Intelligent Document Processing the Same as AI Document Processing?
The terms are often used interchangeably. AI document processing broadly describes using artificial intelligence to understand or process documents, while Intelligent Document Processing typically refers to an end-to-end approach that combines document capture, classification, extraction, validation and workflow automation.
Does Intelligent Document Processing Replace OCR?
No. OCR is commonly one component of an IDP solution. OCR converts document images into machine-readable text, while IDP uses additional technologies to classify documents, extract relevant information and automate processing workflows.
Can IDP Process Handwritten Documents?
Some IDP solutions can process handwritten information using intelligent character recognition (ICR) and AI-based recognition technologies. Accuracy varies depending on handwriting quality, document layout and the specific technology used.
Does IDP Require Human Review?
Not every document requires human review. However, many IDP workflows include human validation for exceptions, low-confidence results and documents requiring additional accuracy checks.
Can Intelligent Document Processing Handle Unstructured Documents?
Yes. IDP is designed to process structured, semi-structured and unstructured documents. However, extraction performance depends on document complexity, the information being requested and the capabilities of the system.
What Is the Difference Between IDP and Robotic Process Automation (RPA)?
IDP focuses on understanding documents and extracting information. Robotic Process Automation (RPA) automates repetitive tasks across software applications. The two technologies can work together, with IDP providing structured document data that RPA uses to complete downstream tasks.
Is Intelligent Document Processing Secure?
IDP can be implemented securely when appropriate safeguards are in place. Businesses should evaluate data encryption, access controls, audit trails, document retention practices, vendor security procedures and any industry-specific compliance requirements.
How Much Does Intelligent Document Processing Cost?
IDP pricing depends on factors such as document volume, document complexity, required data fields, integration needs, validation requirements and the chosen deployment or service model. Businesses should request pricing based on their actual processing requirements rather than comparing software fees alone.
Get Started With Intelligent Document Processing
As businesses continue to look for ways to reduce manual work and improve operational efficiency, Intelligent Document Processing offers a practical way to automate document-heavy workflows.
From invoice processing and insurance claims to healthcare correspondence and incoming business mail, IDP helps organizations turn documents into structured information that can be used across business systems.
Recordsforce helps businesses simplify document processing through a combination of AI-powered technology, human validation and outsourced document automation services.
Whether your organization needs to automate incoming mail, extract information from business documents or streamline existing workflows, Recordsforce can help you identify an approach that fits your operational needs.
Learn more about Recordsforce’s Intelligent Document Processing solutions or contact our team to discuss your document automation needs.