Blog

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…

The Importance of Scalable Document Capture Software 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…

The Role of Machine Learning in Xtracta 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…

On-Premise/Private Cloud 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…

  Deep Learning & How it Impacts Intelligent Document Processing 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…

  The Role of Intelligent Document Processing in Large Companies 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…

  Eliminating Human Error: How OCR Data Capture Helps 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…

  Data Capture Vs. Data Entry: Battle of the Data 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…

  Straight-Through Processing: Saving Time on a Big Scale Many companies are embracing automation to save time and money with their document processing practices. That said, there is one step of the process that still takes up valuable employee resources: verification. Despite the advancements of automated data extraction, many hours are still being lost to manually verifying data that has already been processed. Enter straight-through processing (also known by its acronym STP). Thanks to improved accuracy, artificial intelligence algorithms, and confidence margins, systems like Xtracta can eliminate the verification step. Dive in as we explain what straight-through processing is, how…