Using AI for document processing

Document processing is an essential part of digital transformation for any organization. The advent of artificial intelligence has transformed the way businesses deal with data. Today, with the ability of AI data can be easily read, categorized, converted and processed, allowing companies to generate better data analysis.

What is document processing?

In simple words, document processing is the process of converting unstructured data into structured data. The structured data can then be used for further analysis.

328.77 million terabytes of data are created daily, and companies deal with data daily. Unfortunately, paper-based documents are still being used which makes it challenging to convert manually. Some of the most common documents that need processing are:

Invoices
Receipts
Contracts
Emails
ID cards

Manual document processing is not feasible anymore

Processing data is essential for any business as it impacts key decisions and helps understand customers. When documents are processed manually, there's room for errors that affect data accuracy.

It is a tedious process that requires many resources and thus, increases business costs.

In order to mitigate those challenges, more companies are embracing intelligent document processing tools to automate this process.

The use of AI in document processing

Intelligent document processing (IDP). refers to the extraction of text from documents using artificial intelligence. The adoption of AI has increased by up to 60% in the past few years.

One of the key areas where AI has made a significant impact is optical character recognition (OCR). OCR technology enables the conversion of printed or handwritten text into machine-encoded text, making it searchable and editable. Traditional OCR systems had limitations and often struggled with complex layouts, handwriting, and poor quality documents.

AI has given rise to unlimited IDP tools on the market that accelerate digital transformation.

Benefits of AI in document processing

Integrating AI as part of document processing will be an invaluable asset to your organization. It can boost efficiency and productivity. Let's take a look at the main benefits of document AI.

Manual tasks are automated

This is probably one of the biggest advantages of using intelligent document processing software. manual data entry is time consuming, tedious and boring. Having an automated workflow in place will get things moving quickly.

Your employees can focus on more productive tasks

AI does the heavy lifting and by automating repetitive tasks, employees have more time to think strategically. For example, a real estate agent will have more time to close real estate deals and build meaningful relationships with potential buyers.

Human errors are avoided

Mistakes are bound to happen when processing documents manually and document AI helps to mitigate those errors. With algorithms such as deep learning or machine learning, data accuracy is on point.

A Gartner research found that reworking can take up to 30% of a full-time employee's time.

Convert unstructured to structured data

AI-based software can easily read and recognize text, characters and images in different languages with high precision. It can convert those data into machine-readable format which can later be used for further analysis.

Learn the difference between unstructured, semi-structured and structured data

Read on how to convert unstructured into structured data

Use cases of AI-based document processing

With many companies moving towards a paperless society, AI document automation is the way to make it happen.

Financial services

Some banks and financial institutions are still using paper and PDF forms for the opening of accounts or loan applications. The following tasks can be automated:

Customer onboarding
Financial reporting
Cheque image processing
KYC verification

Insurance

Claim forms are still paper-based and can sometimes contain incorrect information. Many manual processes can be streamlined such as:

Invoice processing
Claim processing
Contract review

Real estate

Real estate agencies receive real estate leads from different sources in different formats. Going through all those emails and retrieving key information such as property details or buyer's information is time-consuming.

Extracting those leads. and sending them to a real estate CRM automatically saves time and money.

Parseur: A leading AI document processing tool

Parseur is an intelligent document processing tool that is integrated with AI OCR for faster and accurate processing. Parseur has a template-based extraction platform that requires no coding knowledge.

It has built-in templates for different industries such as food delivery, job search, Google Alerts, among others.

Compare Parseur to other IDP tools

Try out our powerful document processing tool for free.

How does AI-based document processing work?

In three simple steps, you can create an automated workflow with Parseur. The IDP solution has a free plan where you can create your account and get access to all the features.

Step 1: Create a Parseur mailbox

Choose any mailbox as per your use case requirements. You can also create a custom mailbox.

Create an AI invoice mailbox

Drag and drop one of your documents into the mailbox.

Step 2: The document will be processed automatically

If you've chosen to create a custom template, just highlight the data that you want to extract and create data fields for it. Parseur is also integrated with Zonal OCR and Dynamic OCR to ensure a high level of accuracy.

Create a template for the receipt

Step 3: Integrate Parseur with other applications

Parseur connects seamlessly with thousands of tools so that you can send data to them. You can use Zapier, Make or Power Automate to export data to any application of your choice.

Future Trends

The introduction of AI in document processing has transformed the field by improving accuracy, efficiency, and productivity. It has enabled organizations to streamline their document management processes, reduce manual labor, and make better use of data.

Last updated on June 30th, 2026

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Frequently Asked Questions

Common questions about AI document processing, how it works, and what it can automate.

AI document processing is the use of artificial intelligence to read, categorize, and convert unstructured data from documents into structured, machine-readable data. It combines technologies such as optical character recognition (OCR), machine learning, and deep learning to extract information from invoices, receipts, contracts, emails, and ID cards. This structured output can then be used for analysis, reporting, and downstream automation.

AI improves OCR by overcoming the limitations of traditional systems, which often struggled with complex layouts, handwriting, and poor quality documents. AI-powered OCR uses machine learning to recognize text, characters, and images across different languages with high precision and convert them into machine-readable formats. This makes printed or handwritten content searchable, editable, and ready for further analysis.

AI document processing can handle a wide range of document types, including invoices, receipts, contracts, emails, and ID cards. It works across paper-based, scanned, and digital formats, converting them into structured data. This flexibility makes it useful for industries such as financial services, insurance, and real estate.

Manual document processing is no longer practical for most businesses because it is tedious, resource intensive, and prone to errors that affect data accuracy. With over 328 million terabytes of data created daily, manually converting paper-based documents drives up costs and slows decision making. This is why more companies are adopting intelligent document processing tools to automate the work.

AI document processing improves accuracy over manual handling by using machine learning and deep learning to reduce errors and recognize text with high precision across languages. Parseur supports this accuracy with an optional human review step where users can verify and correct extracted data before exporting it. Parseur is also GDPR compliant, which helps organizations keep document data handling aligned with privacy requirements.

Intelligent document processing (IDP) is the specific term for extracting text and data from documents using artificial intelligence, and it is a core part of AI document processing. IDP tools combine AI, OCR, and machine learning to handle complex layouts, handwriting, and poor quality scans that traditional OCR systems struggled with. In practice the terms are often used interchangeably to describe automating document workflows with AI.

The main benefits of AI document processing are automation of manual data entry, reduced human error, and the freeing up of employees for more strategic work. AI converts unstructured data into structured data with high accuracy, which speeds up workflows and improves data quality. Gartner research has noted that reworking errors can take up to 30 percent of a full-time employee's time, so reducing those errors delivers significant savings.

Common use cases for AI document processing span financial services, insurance, and real estate. In financial services it automates customer onboarding, financial reporting, cheque image processing, and KYC verification. In insurance it streamlines invoice processing, claim processing, and contract review, while in real estate it extracts leads from emails in different formats and sends them to a CRM automatically.

Parseur is an intelligent document processing tool that uses built-in AI and AI OCR to extract data quickly and accurately from any document layout, without requiring a separate template for each format. You create a mailbox, send or drop in your documents, and the AI extracts the fields you need, with an optional manual review step to check the results. Parseur then connects to thousands of applications through Zapier, Make, and Power Automate so the structured data flows into your existing tools.