Sep 22, 2025

5 Best Industry Use Cases of Image to Text NLP Software

Image to text NLP software has become commonplace across many industries, here are five of the best use cases.

Healthcare

The healthcare industry generates and processes an enormous amount of information on a daily basis. Whilst electronic health records have become more commonplace in many healthcare systems around the world, there is still a surprisingly substantial amount of data that is either handwritten or printed on paper. Doctors are notorious for their poorly handwritten prescription notes!

In an attempt to bridge the gap between the quick convenience of hand written notes and the efficiency of digital data, many healthcare institutions are turning towards image to text NLP software solutions. This use of AI helps to extract key information from physical documents, converting it into structured digital data that can be easily processed, stored and analysed

Hospitals and other healthcare institutions are using image to text software to convert these handwritten documents into structured data that can be shared and processed digitally.

These digital documents enable faster retrieval by medical professionals, and make it easier to share critical medical information amongst departments and hospitals. This helps to improve the patient experience and continuity of care.

Manufacturing

Large scale factories and manufacturing facilities rely upon precision to maintain conformity in the goods produced and to avoid costly defects.

This often means documenting every stage of the manufacturing process, from machine performance through to inspection reports and maintenance logs. In many facilities, these checks are often still recorded manually by hand.

While manual notes are a convenient way of collecting data, the handwritten checklists are difficult to analyse at scale, which is why image to text solutions are becoming increasingly popular. By capturing images of these handwritten notes and extracting key data points, these AI solutions are helping to digitize and centralize this critical information.

The result?

Better traceability, improved compliance and quicker access to historical data in case of emergency. Instead of digging through mountains of old notes in filing cabinets, manufacturing plant employees can pull up relevant information in seconds.

This makes it far easier to detect trends, spot potential issues and to plan preventative maintenance.

Logistics

Speed and accuracy are absolutely critical in the logistics industry. As consumers, we have become accustomed to next day delivery as an industry standard; even if it involves our package coming from remote locations or even different countries.

Package deliveries might be quick, but they involve a large quantity of paperwork along the way. Think shipping labels, customs documents, invoices and delivery confirmations.

Using image to text software, logistics companies can capture this data on the go. Drivers or warehouse staff can grab a photo of a shipping label, with the NLP software extracting the key information such as the tracking number and delivery address.

Legal

In some countries' legal systems, important legal documents can far predate digitisation. For example, the oldest law still in force in England is the Statute of Marlborough, signed into law in 1267!

The doctrine of legal precedent - that courts should follow prior decisions in similar cases, is also relevant to the widespread usage of image to text AI solutions. Attorneys, judges and legal researchers rely upon older court documents to build legal defences, interpret laws or to justify rulings. A significant portion of case law still exists in only scanned or printed formats, making them difficult to retrieve and analyse.

Image to text NLP software in the legal sector is being used to digitize and structure these historic legacy documents. By extracting the key information, such as the case names, citations, ruling and relevant legal arguments within these historic documents, it has become possible to search through vast collections of court records that previously were difficult and time consuming to review.

Instead of manually combing through archives full of dusty old documents, legal professionals can use NLP software to identify key information with ease. By speeding up the legal research process, it helps to democratize access to legal documents, delivering a more efficient and fair legal system for all.

Finance and Compliance

Financial institutions around the world are under strict scrutiny to abide by anti-money laundering regulations and to perform robust Know Your Customer (KYC) checks. These checks often require careful reviewing of a multitude of different documents such as physical copies, scanned IDs, utility bills, bank statements and any number of other client documents.

Image to text NLP software is being used to modernize this compliance process. By converting scanned or photographed documents into structured data, the financial institutions can streamline the process of reviewing and validating important information such as name, address and dates.

This automation reduces the need for manual data entry, helping to speed up the process whilst also minimizing the risk of human error, helping to strengthen fraud detection efforts.

NLP solutions can be trained to identify potential inconsistencies that require further attention. By comparing the content and format of the known standards for these documents, compliance NLP software can help to identify forged paperwork.

Summary

Image to text NLP software is a practical solution that is being adopted by firms in many industries. It is helping organizations to streamline their operations, reduce costs and to improve the customer experience.