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Mortgage processing automation helps companies reduce the manual workload involved in mortgage origination and processing, in order to improve accuracy and efficiency. It is one of the technologies that lending businesses are adopting to stay competitive in today’s fast-paced business environment.

In this post, we will explore how mortgage processing automation using Nanonets and OCR technology can improve your business.

What is mortgage processing?

Mortgage processing is the series of steps that a lender takes to evaluate and approve a borrower's mortgage loan application.

The process involves collecting and verifying information about the borrower's financial situation, property information, and other relevant details in order to evaluate the borrower's creditworthiness, property value, and other risk factors.

The aim is to determine whether to approve the loan and on what terms. Once the loan is approved, the lender prepares the necessary documentation and funding for the borrower to complete the purchase or refinance of a property.

Mortgage processing can involve several parties, including the borrower, lender, real estate agent, appraiser, and title company, and can take several weeks or months to complete!

What does the mortgage application process involve?

A mortgage application typically involves a thorough review of the borrower's financial and credit history, as well as information about the property being purchased or refinanced.

The application will generally require the borrower to provide personal information, including their name, address, social security number, and employment history, as well as information about their income, assets, and debts.

The lender will also typically request documentation to verify the information provided in the application, such as pay stubs, tax returns, bank statements, and credit reports. Additionally, the borrower will need to provide information about the property being financed, including its location, purchase price, and any previous liens or mortgages on the property.

The lender will use this information to evaluate the borrower's creditworthiness, determine the loan amount and terms for which they qualify, and make a decision on whether to approve the mortgage application.

What are the steps involved in mortgage processing?

  1. Pre-approval: This is the initial stage where the lender evaluates the borrower's creditworthiness, income, and other financial information to determine if they are eligible for a mortgage loan.
  2. Application: The borrower submits an application for the loan, which includes personal and financial information such as income, employment history, debts, and assets.
  3. Documentation: The borrower provides documentation to support their application, which may include income and employment verification, bank statements, tax returns, and other financial documents.
  4. Underwriting: The lender evaluates the borrower's application and documentation to determine the level of risk associated with the loan. This involves assessing the borrower's credit history, income, and other factors.
  5. Appraisal: The lender orders an appraisal of the property to ensure it is worth the amount of the loan and to identify any potential issues that may affect its value.
  6. Conditional approval: Once the underwriting and appraisal are complete, the lender issues a conditional approval, which outlines the terms and conditions of the loan.
  7. Closing: The final step in the process involves the borrower signing the loan documents and transferring the funds. This is typically done in the presence of a closing agent, who ensures all the necessary documents are signed and recorded.

The importance of accurate paperwork in mortgage processing

Accurate paperwork is crucial in mortgage processing for several reasons:

The importance of accurate paperwork in mortgage processing
Photo by Wesley Tingey / Unsplash

Mortgage processing is a highly regulated industry, with strict guidelines and regulations that lenders must follow. Accurate paperwork ensures that the lender is complying with all the necessary regulations and guidelines, avoiding any legal issues or penalties.

Financial accuracy

Mortgage processing involves large amounts of money, and any errors in the paperwork can result in financial losses for both the lender and the borrower. Accurate paperwork ensures that all the financial details of the mortgage are correct, reducing the risk of financial losses.


Accurate paperwork streamlines the mortgage processing workflow, reducing the time taken to process each document and minimizing errors. This helps lenders to process mortgage applications faster, improving the overall efficiency of the process.

Customer satisfaction

Accurate paperwork ensures that the mortgage application process is smooth and hassle-free for the borrower. This can improve customer satisfaction and help build a positive reputation for the lender.

What are the challenges in mortgage processing?

There are several potential challenges that can arise during mortgage processing, including:

  1. Missing or incomplete documentation: One of the biggest challenges in mortgage processing is ensuring that all the necessary documentation is present and accurate. Any missing or incomplete documentation can lead to delays or even rejection of the application.
  2. Human error: Since mortgage processing involves a lot of manual data entry and verification, there is always a risk of human error. Even a small error can have significant consequences, such as incorrect loan amount, interest rate, or payment schedule.
  3. Communication issues: Mortgage processing typically involves multiple parties, including the borrower, lender, real estate agents, and attorneys. If there are communication breakdowns between these parties, it can lead to delays and mistakes in the processing.
  4. Compliance issues: The mortgage industry is heavily regulated, and lenders must comply with various federal and state regulations. Failure to comply with these regulations can lead to penalties and legal issues.
  5. Fraud: Mortgage fraud is a serious issue that can occur at any stage of the process. Fraudulent activities, such as falsifying income or employment information, can result in a loan being rejected or even criminal charges.
  6. Technical issues: As with any technology-driven process, there is always a risk of technical issues, such as system failures, software glitches, or cybersecurity threats. These issues can disrupt the mortgage processing workflow and cause delays.

How can mortgage processing be improved with automation?

Mortgage processing automation is the process of using technology to automate the various steps involved in the mortgage processing workflow. Some of the common steps involved are:

  1. Loan origination: This involves receiving and reviewing loan applications from potential borrowers.
  2. Document collection and processing: This step involves collecting and processing various documents, such as income statements, credit reports, and tax documents, to verify the borrower's financial status.
  3. Underwriting: Underwriting involves analyzing the borrower's creditworthiness and ability to repay the loan.
  4. Closing: This step involves finalizing the mortgage agreement and transferring ownership of the property.
  5. Post-closing: This step involves tasks such as document preparation and record-keeping, as well as managing the mortgage payments and other related activities.

Each of these steps can involve multiple manual tasks, which can be time-consuming and error-prone. This is where automation technologies can play a significant role in improving the efficiency and accuracy of the mortgage processing workflow.

While there are various types of automation being used, such as robotic process automation (RPA), optical character recognition (OCR), and machine learning (ML), in this post, we will focus on OCR technology and how it can improve your business.

How can OCR technology be applied in the mortgage processing workflow?

OCR technology can be applied in various stages of the mortgage processing workflow.

Loan origination: OCR technology can extract data from loan application forms, reducing the need for manual data entry and speeding up the loan origination process.

Document processing and underwriting: Document processing and underwriting can be automated, reducing the time it takes to review and approve mortgage applications.

Closing and post-closing processes: OCR technology can streamline closing and post-closing processes, such as document preparation and record-keeping.

Several key features of OCR technology enable mortgage processing automation and increased efficiency.

Intelligent data extraction and classification: OCR technology can intelligently extract and classify data from mortgage documents, reducing the need for manual data entry and improving accuracy.

Automation of document verification and fraud detection: Document verification and fraud detection can be automated, reducing the risk of fraudulent activity.

Integration with other mortgage processing automation tools: OCR technology can integrate with other mortgage processing automation tools, such as loan origination systems and underwriting software.

Benefits of mortgage processing automation using Nanonets

Nanonets is an OCR platform that uses advanced machine learning algorithms to automate data extraction from unstructured documents. In the context of mortgage processing, Nanonets’ ML-based OCR technology can play a crucial role in automating the workflow and improving efficiency for businesses.

  1. Improved accuracy and speed: With OCR technology, the mortgage processing workflow can be automated, reducing the time taken to process each document and minimizing errors. OCR technology can quickly scan and extract data from documents, including unstructured data like handwriting and signatures, and convert them into machine-readable formats.
  2. Cost savings: Automating the mortgage processing workflow can significantly reduce the cost of manual labor, as it eliminates the need for multiple employees to perform repetitive manual tasks. By using OCR technology, mortgage processing companies can save time and reduce costs associated with document processing, data entry, and other manual tasks.
  3. Better compliance: Mortgage processing is a highly regulated industry, with strict guidelines and regulations that companies must follow. By using Nanonets OCR technology, companies can reduce the risk of non-compliance with regulatory requirements by accurately and consistently processing documents.
  4. Enhanced customer experience: OCR technology can improve the overall customer experience by reducing the time taken to process mortgage applications and minimizing errors. By automating the mortgage processing workflow, companies can provide a faster, more efficient service, reducing the waiting time for borrowers.


Mortgage processing automation using OCR technology offers several benefits, including improved accuracy and efficiency, reduced manual workloads, and increased productivity. With Nanonets’ AI-based OCR platform, companies looking to automate mortgage processing can gain a competitive edge.