How AI OCR works

Ever wondered how AI OCR works? Watch this short video and find out!

AI OCR: How modern automated processing works

AI is changing the game for OCR solutions. Here’s how modern automated processing works.


AI OCR is a technology in which algorithms are trained to recognize handwritten, typed, and printed text and convert it to machine-encoded text. This allows users to easily create editable forms. 

OCR technology has many uses but is especially prevalent in industries such as banking and insurance. It is also frequently used by accounts payable departments when processing invoices. This is much more efficient than having to manually enter data from each document by hand. OCR enables companies to get through their workflows quicker.

This technology also helps to prevent processing errors. When entering data by hand, it can be easy to overlook critical pieces of information or enter something incorrectly. OCR automates this process and ensures greater accuracy in processing. To find the best OCR software or OCR app for your business, you should consider your needs. 

For example, if you work in accounts payable, you should look for a solution that’s specifically designed to scan invoices and related documents. Some platforms are better suited for certain businesses and industries than others, so it’s important to do your research. With the right OCR tools, you can be well on your way to automating your workflow and maximizing your teams’ efficiency. 

Rossum is an intelligent document processing (IDP) platform that goes a step beyond traditional OCR. It leverages AI to humanize the data capture process and keep up with your processing needs. Rossum understands documents on a more advanced level, removing the need for users to make changes to the system every time their rule sets change. 

The platform is adaptable and understands documents based on their content rather than just looking at the layout. With Rossum, you can do more with your documents and ensure greater continuity and alignment with your scanning process. You can get more done in a shorter amount of time, resulting in improved business outcomes all around.

AI OCR online

AI OCR online tools enable users to convert text into different formats. This makes it easier for them to read and edit documents. The great thing about online OCR tools is that they’re cloud-based, meaning that you can access them from any device anywhere you are connected to the internet. 

Cloud-based OCR tools can be especially helpful for remote teams or those that are otherwise unable to make it to the office each day. They make it easy for teams to connect and share resources, even if they’re working in different locations. 

Online OCR image-to-text software is a type of OCR software that converts text from images. It utilizes advanced tools and algorithms to scan images and extract text so users don’t have to type it out by hand. 

Businesses often use image-to-text software when working with images of poor quality. Some images are formatted in a way that’s difficult to read with the naked eye, but OCR is trained to understand it. The technology makes it easy for users to process multiple documents over a short period of time.

While finding the best online OCR software for your business can be tricky, there are a few things to keep in mind to help narrow your search. First, you should consider your budget. How much can you afford to spend on an OCR platform, and what is your desired ROI? 

You should also think about the way you currently handle document processing and what pain points you’re experiencing in your workflow. How might your teams benefit from the software? Can it integrate with your existing tools and systems? Asking yourself these questions is a great way to determine the kind of online OCR software that’s going to be best for your organization.

AI OCR software

Traditionally, businesses have processed documents by hand. This was not only extremely time-consuming but resulted in many human errors. Accurately capturing data can be difficult when you’re tasked with processing several documents at once. 

With the advent of AI OCR software, however, companies realized they could scan and extract data from documents automatically. This enabled them to process forms quicker and prevent manual errors in their workflows. 

Today, OCR software is capable of handling even the most complex documents. As the software advances, it’s becoming more accurate and allowing users to process larger workloads. OCR software makes it possible for users to make the most out of their time and promote efficiency in their data capture processes. This saves businesses valuable time, allowing them to take a step back and focus on other business operations. 

By automating data capture you can turn your attention to more time-critical tasks. You can also ensure greater OCR accuracy in your workflow which, especially in the case of accounts payable, can lead to improved business relationships. 

Rossum offers advanced document processing capabilities. The platform manages everything from intake to post-processing to minimize the amount of time users spend manually processing and reviewing items. Rossum’s leading ergonomic validation interface enables quick and easy validation. This can help to streamline your workflow. 

What’s more, with Rossum’s built-in reporting features, you can obtain critical data related to your processing efforts. Whether you work in accounts payable, logistics, or otherwise, Rossum’s tools can help you to maximize efficiency in your workflow. Instead of relying solely on manual tools and processes, you can automate tasks and get more done in a shorter amount of time.

OCR software examples

If you’re considering implementing an OCR solution, it can be helpful to browse some OCR software examples. This can give you a better idea of how the technology works and how it can improve your documentation process. 

For example, simple OCR software works by creating templates and using those templates to convert text. Small businesses or those with relatively simple workloads that process similar documents can benefit from this software. 

However, it may be less than ideal for those that scan multiple different types of documents. Intelligent OCR software uses AI to scan documents on a more advanced level. It reads documents in the same way that a human would and is trained to more accurately differentiate text.

You might also turn to examples specific to your particular industry or role. If you work in accounts payable, you might view examples that demonstrate the effectiveness of OCR In automating data extraction from invoices

Studying examples that are as closely related to your field as possible is the best way to understand the technology. Learning from the triumphs — and mistakes — of others in your space can better enable you to effectively use OCR in your own workflow. 

Most importantly, your optical character recognition device of choice should reflect your unique business needs and goals. No matter which platform you choose, it should adapt to your workflow and grow alongside your business. 

The best OCR software is not solely reliant on frameworks and layouts but can read documents in a more advanced way. You shouldn’t have to retrain the algorithm each time you introduce a new document or layout — the software should be able to figure out what to do automatically. While smaller businesses may benefit from simple OCR software, larger organizations with more complex document processing needs will likely require an advanced tool.

Best OCR software for handwriting recognition

There are many different types of OCR software, and choosing between them can be difficult. Experimenting with different tools is the best way to learn about the various solutions on the market today. However, this is not always possible, so it’s important to do your research before implementing any kind of OCR tool. You should consider your needs and what you’re ultimately hoping to accomplish with the software. This can better position you to choose the software that’s best suited to your organization. 

Different OCR platforms are built for different kinds of text. For example, if you work with a lot of handwritten documents, you should look for the best OCR software for handwriting recognition. 

You should look for a solution that can convert handwriting to text in Word and convert handwritten PDF to text. Being able to convert handwritten text to a variety of formats can be extremely valuable to your documentation process. 

Rather than having to switch between different systems to convert text to different formats, you can do it all from a single platform. This can help simplify your workflow and promote greater alignment with your data.

Getting started using OCR software, whether for handwritten text or otherwise, can be challenging. This is especially true for those making the transition from manual systems. While learning the ins and outs of OCR can be difficult, learning how to leverage the software is critical to achieving greater success with your documentation process. 

Being able to automate data extraction can save you time and help reduce, if not completely eliminate human errors. As more businesses transition from manual to automatic document processing, document processing will continue to be improved. 

Organizations that wish to remain competitive in their respective spaces will need to learn how to use this technology to improve accounts payable, legal documentation, and more. Becoming familiar with AI OCR is crucial to long-term business success. 

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