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When it comes to the growth versus scalability of a business, is there a difference? While these two terms are often used interchangeably, there are some key differences between the two that every business should be aware of. Here, we explore the difference and why it matters, and delve into the value that automation solutions…

A large majority of Xtracta’s client base is comprised of other software vendors looking to build our technology into their platforms. In this article, we discuss the benefits of automated data extraction for companies that develop and sell software solutions used by the larger market. Using some successful case studies, we explore how industry-specific software…

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…

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…

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…

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…

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…

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…

  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,…

  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…

  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…

  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…