Xtracta Blog

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.…