Blog

How We’re Progressing Artificial Intelligence Today, we discuss how Xtracta is progressing within the realm of OCR AI technology and machine learning, including deep learning and its relevance within the development of general training models. Controlled Feature Set Machine Learning When it comes to introducing learning models to new clients, one of the decisions we have made is to utilise controlled feature set machine learning models. By doing this, the number of training sets and the number of samples customers need to train with can be significantly decreased. One advantage of using this approach to training models is significantly reducing…

Building Integration with Xtracta’s API Today, we explore the advantages of Xtracta’s API, offering a benefits breakdown for organisations looking to integrate Xtracta’s OCR solution into their pre-existing software. What’s an API Integration? Through API integrations, companies can automate repetitive tasks and integrate their databases and programs with the latest industry applications. API integrations enable workers to gain the advantages of multiple cloud-based apps and deliver fast and continuous communication between applications. APIs also enhance product development, allowing organisations to launch innovative initiatives smoothly and efficiently while reducing the associated costs of the process. How can APIs help your business?…

How to Promote an Automation First Work Culture Process automation can help organisations work smarter, saving time and money with highly accurate document capture software. However, when it comes to introducing automation into an organisation, the benefits of the change are not always self-evident. While organisations may be interested in automation, one of the main challenges that can prevent automation success is if projects are met with internal resistance from staff. Workers may have become comfortable and settled into the established way of doing things; it’s not uncommon for people who have worked with set processes for a long time…

For many businesses, especially large organisations that process high volumes of data daily, using data extraction software that is efficient and scalable is essential. Many of Xtracta’s clients process an excess of 200,000 documents through our platform each month. If you whittle that down to the number of documents captured per working day, with 21 working days per month—that’s roughly 10,000 documents per day. For businesses that process documents at high volumes like this, it’s vital that the software can scale to meet processing demand. Here, we discuss the importance of this concept and demonstrate how Xtracta meets these expectations.…

While there are countless companies providing data extraction software, most of them use template-based software, requiring users to input a document map first. In this blog post, we discuss why Xtracta is different, and how machine learning allows our software to discover, classify, and understand new and complex documents with far greater efficiency than template-based processing software. To establish how Xtracta’s machine learning approach is different from other data capture models, let’s briefly explore traditional forms of data capture and template-based processing.   Traditional Forms of Data Capture Before the days of OCR data capture, documents such as invoices and…

When it comes to cloud hosting options for businesses, Xtracta’s public cloud is the most common option clients choose. However, did you know that Xtracta offers more than one type of cloud hosting? In fact, we have three different hosting options for clients to consider. Public Cloud Xtracta’s public cloud platform is similar to cloud platforms such as Gmail, where all users share the same underlying infrastructure with their own set space on those servers. Because the infrastructure is shared between users, it is often cheaper. Another benefit of this option is the speed of setup - the public cloud…

  Recently, there has been a push towards deep learning and the opportunities it offers within the realm of artificial intelligence (AI). From self-driving cars to voice and image recognition, deep learning stands behind many technological innovations and already impacts multiple aspects of human life. Today, we break down the fundamentals of deep machine learning, exploring its relevance within document data extraction software and explaining why—for Xtracta—it may not always be the best approach for our software or clients. A Definition of Deep Learning Deep learning is a class of machine learning algorithms that uses a multi-layered filter system to…

  While Intelligent Document Processing (IDP) helps SMEs to grow, it also plays an instrumental role in the internal operations of larger companies. Below, we explore the importance of Document capture software and OCR technology for large businesses and companies looking to grow.   Data Processing for Small and Large Companies Data is a fundamental part of every organisation’s workflows as it enables the daily progress of many business processes. Furthermore, for many businesses—especially large organisations or companies looking to advance in their industry—the pressure to reduce company costs, satisfy the demand of an ever-growing client base, and comply with…

  No matter the industry, when data entry is involved, the same concern crops up again and again—our human tendency to make mistakes. The prevalence of human error is undeniable—and it can often take up more time in business than people think. Below we explore the impact of incorrect data input for organisations and discuss the benefits of OCR data capture and data extraction software in comparison to manual data entry, and the human tendency to err.   To Err is Human Fundamentally, we all know humans are prone to make mistakes, especially when overworked, tired, distracted—the list goes on.…

  Data arrives in many forms and formats, and a streamlined business will have a strategy to input that data effectively. Today, businesses must strike the right balance between the adaptability of hands-on manual data entry and the efficiency of automated data capture, bridging the divide between the past and the future to develop a successful, holistic approach. Below, we break down the principles of automated data capture versus manual data entry, discussing how each plays a role in business operations and what companies can do to leverage them successfully.   What is Manual Data Entry? Manual data entry is…