OCR vs IDP: Which One Actually Fits Your Business

Key Takeaways

• OCR is a technology that can extract text from scanned images, PDFs, and documents.
• IDP is a system that can extract data from different types of documents, understand their context, and perform rule-based actions on them.
• The key steps that OCR uses for document processing include image analysis, preprocessing, extraction, and postprocessing.
• IDP software processes documents in a step-by-step process that includes document ingestion, preprocessing, document classification, data extraction, data validation and integration.
• OCR can extract text from scanned documents or images, but it can’t understand and process information from a document like IDP.
• IDP uses multiple technologies AI, NLP, and machine learning- for delivering accurate results, but it still needs manual review for processing documents.

Document processing has become a common activity for businesses in modern times. Companies often need to convert many documents, such as invoices, forms, and handwritten notes, into electronic formats. OCR and IDP are two key technologies used for document processing. OCR can recognize and extract text from scanned documents or images. IDP can extract information from documents, understand their context, and validate it. In this blog, we are going to compare OCR vs. IDP and discuss which one you should choose for document processing in your business.

What is Optical Character Recognition (OCR)?

OCR stands for Optical Character Recognition. It is a technology used to extract text or information from different types of documents. Businesses can capture text from a physical document or convert a scanned PDF into a clean spreadsheet with OCR.

A data entry operator can usually take several minutes to convert a 400-500-word text into electronic format. But someone can do the same task in less than a minute with  OCR. There are different types of OCR programs, which include simple OCR, OMR, ICR and intelligent word recognition.

How OCR Works?

OCR programs convert text in physical documents, images or PDFs in a step-by-step process that usually includes:

Image Analysis

This is the step where OCR processes images of documents based on light and dark areas. It can identify the dark areas as characters and the light areas as background.

Preprocessing

Sometimes, images of documents can be improperly aligned when scanned. They may have graphic marks, boxes or drawings printed on them. Preprocessing removes noise and extra mark in images. It also identifies whether the actual text is present in an image.

Text Recognition

OCR technology uses feature extraction and pattern matching to recognize text. OCR programs are trained to recognize fonts and text extracted from an image by matching against their training data. OCR analyzes the size, scale and shape of a character for text recognition.

Post-Processing

OCR extracts the text of images in a digital file or format. Some OCR programs may create before-and-after versions of an image to store both the scanned documents and the digital files.

What is Intelligent Document Processing (IDP)?

Intelligent document processing is a system that can extract, categorize and validate data from images or physical documents. It uses machine learning, OCR and natural language processing (NLP) to process documents. Businesses or document processing services can automate their document management system using IDP.

IDP can work with unstructured or semi-structured data, including scanned files, PDFs and images and perform rule-based tasks. It can convert physical documents into digital format and may deliver more accurate results than OCR. The system can understand the context of information in a document. It can recognize distorted text or misspelled words correctly. Traditional OCR programs can usually perform text extraction but not the context of information in a document.

How Does Intelligent Document Processing Work?

IDP can process structured, unstructured or semi-structured documents. The document processing workflow of IDP software includes the following steps:

Documentation Ingestion

IDP gets documents in various formats from the cloud, emails or manual uploads. These documents can be email files, PDFs, or images.

Preprocessing

Documents are prepared for analysis at this stage. There are several techniques, including deskewing, binarization and noise reduction are applied to improve document quality.

Document Classification

In this stage, an intelligent document processing program categorizes the document based on its type, content and structure. The system can apply computer vision to recognize patterns in a document or image and use NLP techniques to understand the context of extracted information.

Data Extraction

The system extracts information from a document in this stage, such as header information, descriptions, signatures, or handwritten notes. IDP software can use multiple technologies for data extraction, including OCR, NLP, computer vision and machine learning.

Data Validation

Data extracted from a document needs to be verified before it is used. IDP uses some specific validation rules for this purpose. The system produces a confidence score for the extracted information. The system can process high-confidence information automatically and send the low-confidence information for human review. This process helps reduce the risk of inaccurate extracted data being used.

Integration

IDP programs can be connected to APIs and integrated with ERP and CRM platforms. Extracted information is stored in different systems or databases after validation. IDP can produce structured data from documents such as JSON or XML.

The Difference Between OCR and IDP

OCR and IDP can both help a business extract information from documents and convert them in digital format. However, there are some key differences between them, which are discussed in the table below.

Difference	OCR	IDP
Purpose	Converts text from scanned documents or images into machine-readable text.	Extracts, understands and processes information from documents.
Technology	Primarily uses character recognition technology.	Combines OCR with AI, machine learning, NLP and other technologies.
Understanding	Recognizes what the text says but has limited understanding of its context.	Understands the context, structure and meaning of document data.
Data Extraction	Extracts text but usually does not determine which information is important.	Identifies and extracts specific fields or relevant information automatically.
Document Complexity	Works well with simple, structured documents and clear text.	Handles complex, semi-structured and unstructured documents.
Automation	Often requires additional rules or manual steps to process extracted data.	Can automate multiple steps in a document-based workflow.
Example	Converts an invoice image into machine-readable text.	Identifies the vendor, invoice number, date, line items and total amount from the invoice and sends the data into a business system.

Does IDP Eliminate the Need for Human Review?

IDP stands for intelligent document processing. It is often considered more efficient than OCR since it applies multiple technologies such as AI, NLP, machine learning, and OCR together. This is why some individuals may consider that they don’t need to manually review the document processing results when using this system. But IDP actually doesn’t eliminate the need for human review.

This is because information extracted using IDP may not always be accurate. It can produce inaccurate data when the system can’t recognize text or font. This is why IDP software provides a confidence score with the outputs. It can process high-confidence information automatically but leave the low-confidence information for a human review before processing.

This helps IDP prevent sending inaccurate or unreliable output when extracting particular text from a scanned image or document becomes difficult for it to process.

OCR vs IDP vs Outsourced Document Processing: The Third Option

Many business owners or decision-makers want to reduce the time and manual effort necessary for document processing by using OCR and IDP. Some also consider outsourcing document processing tasks to a third-party service. Comparing multiple options like these can be a bit overwhelming.

OCR for Data Extraction and Digitization

OCR can help you extract data from documents such as invoices, forms and PDFs. IDP can help you extract data and process that data based on pre-defined rules. It can understand which data is important and integrate it into your accounting or ERP software.

For example, you can use OCR to collect different fields from an invoice such as vendor name, price, PO number and others. OCR can be enough if your business just needs to reduce the need for manual data extraction and digitize documents.

IDP for Document Processing Automation

IDP programs can understand the context of information present in a document and process it with the help of AI, NLP and machine learning. It can be useful for automating document processing tasks. So if you need a solution that can extract and validate information and then integrate that information into a system such as an ERP, CRM or accounting system, then IDP can be more suitable.

Outsourced Document Processing for Less Complexity

Businesses often delegate some of their tasks to a third-party service to reduce workload and focus on core tasks. This process is known as business process outsourcing or BPO for short. There are many document processing outsourcing services that can help you with document digitization and processing following a standardized workflow or SOP.

OCR and IDP can both help you with document processing. These two technologies can help you increase accuracy, minimize cost and reduce manual workload while processing documents. However, there are setup costs to using these technologies. The team or staff of a business also needs some basic training to use OCR and IDP.

This is why many businesses outsource document processing tasks to specialized services. The global document processing outsourcing market was $8.6 billion in 2025, and it is projected to reach $15.1 billion by 2036. Document processing outsourcing services often invest significantly in technology and training to ensure a consistent standard of service. So you can choose an outsourcing service if you are not ready to implement OCR and IDP.

Is IDP Worth Your Volume? IDP, OCR and Outsourcing Cost Comparison

Businesses are choosing IDP to automate document processing. According to Fortune Business Insights, the global IDP market is projected to grow from $13.33 billion in 2026 to $88.91 billion by 2034, with a CAGR of 26.8%. This stat shows that the number of businesses using IDP is more likely to increase significantly in the future. Some businesses may ask whether IDP would be more cost-effective for them than OCR and outsourcing.

OCR Cost

Processing documents with OCR can cost a business about $1.50-$50 per 1000 pages when using OCR services like Google Cloud Vision, Amazon Textract, and Azure Document Intelligence. You will usually need to pay the lowest price for processing text-based documents, while processing forms or documents with custom fields may cost you the most.

IDP Cost

IDP can cost you about $0.10-$0.50 per page when using tools such as Rossum, UiPath or Hyperscience.

Outsourcing Cost

The cost of document processing with an outsourcing service depends on what type of documents you process. AP outsourcing or invoice processing services can cost $1.50 to $3.00 per invoice. It can cost about $3-$40 per hour to use data entry outsourcing services for different types of documents.

Is IDP Worth It?

IDP services may cost less when you process a high volume of documents. It can cost you about  $0.28-$0.38 per page for document processing if you build your own IDP system. But building an IDP capable of processing semi-structured documents with moderate complexity can cost you about $50,000-$90,000.

An IDP, which can process unstructured documents, can take $100,000-$130,000 to build. This cost includes the one-time license and service costs. This type of system will usually cost you more than OCR and document processing outsourcing services. However, IDP can be a good choice if you want to process a high volume of documents efficiently.

OCR vs IDP for Invoice Processing

Invoice processing is a common document processing task many businesses perform. OCR and IDP, both technologies, can help with invoice processing. OCR can handle basic invoice processing tasks if your invoice is simple. It can extract basic information such as vendor information, purchase order, products and price. You can digitize your invoices with traditional OCR.

IDP can be useful if you need to automate most of the parts of the invoice process or when your invoice processing tasks are more complicated. It can help validate and integrate invoices into your accounting or ERP systems. OCR can extract text from invoices, but it may not understand which information is important for invoice processing. IDP systems process invoice information based on its context using technologies such as NLP or machine learning.

How Long Does IDP Implementation Take?

The duration of IDP implementation for a business mostly depends on document complexity, volume, integrations, and customization. A simple IDP project to process structured data such as invoices or application forms can take 2-4 weeks. It may take 9-12 weeks to process semi-structured or unstructured documents. Sometimes, setting up an IDP system takes 4–9 months.

Conclusion

Businesses can process documents more efficiently with OCR and IDP. Both technologies can be useful for document digitization. But IDP is a more powerful solution compared to traditional OCR. It uses multiple technologies to extract, validate and integrate data into a business system such as CRM or ERP.

However, there is a setup cost for using both of these technologies and you need an expert team or some staff to use them. So outsourcing your document processing tasks to a third party can be a good alternative to them.

FAQs

Is OCR still useful once you have IDP?

Yes, IDP systems also use OCR for text recognition and data extraction. OCR is a core component of most IDP systems.

Can IDP handle handwritten documents?

Yes, most IDP systems can process handwritten text in scanned documents or images. However, an IDP can have difficulties in recognizing handwriting in a document if it is misaligned or distorted.

What is the cheapest way to process documents accurately?

The cheapest way to process a document depends on the volume of documents and project complexity. The cost of using IDP can be lower than OCR and third-party document processing services for processing a high volume of documents. But there is a setup cost of using IDP systems. Typically, using OCR or a document processing outsourcing service can be the cheapest way to process documents accurately.

Do I need both OCR and IDP?

Yes, you may need both OCR and IDP to automate your document processing tasks. IDP systems use OCR technology with AI, NLP and machine learning.

Is outsourced document processing more accurate than IDP?

It can’t be said that outsourced document processing is always more accurate than IDP. When using IDP, you will get a confidence score with the information it produces after processing documents. IDP may send low-confidence information for human review. But a document processing outsourcing service usually manages the whole task of document processing. They review the extracted information after processing documents and then deliver the final output to you. It reduces your chance of getting an inaccurate or unreliable output.