I recently had the pleasure of attending the ABBYY AI Summit in London, where I was fortunate to listen to and chat with a wide range of AI experts. Naturally, the focus was on Document AI and Process Intelligence AI, with one of the key topics being the role of AI within Intelligent Document Processing… Read More »Document AI Meets GenAI: Transforming Customer Enquiry Management
I’ve recently been working to improve my understanding of how Intelligent Document Processing (IDP) leverages different types of AI to extract data from documents. We’ve been using ABBYY FlexiCapture for many years and are now transitioning our solutions to ABBYY Vantage. With all the recent discussion around AI in IDP tools, I thought it best… Read More »AI in Intelligent Document Processing: How Transformers and Deep Learning Power ABBYY’s IDP Tools
Thrilled to be chosen as an Abbyy Most Valuable Professional this year. You can find out more about the MVP program here – https://www.abbyy.com/mvp/. A link to the original LinkedIn post – https://www.linkedin.com/feed/update/urn:li:activity:7292531970218090496/ Abbyy defines an MVP as such: An ABBYY Most Valuable Professional (MVP) is a distinguished title awarded to developers who demonstrate exceptional… Read More »ABBYY MVP 2025: I am Honoured to Be Recognised for Expertise and Community Contribution
In the past 12–18 months, there’s been an explosion in intelligent document processing (IDP) tools, each claiming to have the best model for capturing data from semi-structured documents, like invoices. Every tool is keen to assert its model is the strongest and most trainable. I’ve tested quite a few, and there are some excellent cloud-native… Read More »Navigating Complex Invoices: Advanced Techniques for Intelligent Document Processing
Recently, I’ve been bench testing our IDP tool of choice, ABBYY FlexiCapture/Vantage, against other competitor products. At Spectrum, we’re developing a cloud-native Accounts Payable Automation tool, and as the Product Owner, I wanted to ensure that we are using the optimal tool for extracting data from incoming invoices. Traditionally, we’ve used FlexiCapture, but with a… Read More »Optimising Invoice Data Extraction: Benchmarking ABBYY Vantage for Enhanced Touchless Processing
Additionally, it’s imperative to thread these captured emails together, enabling users to track the conversation and facilitating our ability to provide updates. I’ve gained some valuable insights into email headers and structure. The “Message ID,” a critical element found within email headers, plays a pivotal role in tracking and identifying emails. This unique string, generated… Read More »Enhancing Customer Experience: Streamlined Enquiry Handling
Following my earlier post on leveraging generative AI to convert informal order instructions into structured JSON, I’ve been developing a proof of concept with our IDP tool, Abbyy FlexiCapture. I’ve transformed an order that arrived in the body of an email, with the text extracted during an FlexiCapture workflow: “Can I order: Same red willington… Read More »Sequel to AI-Powered Order Structuring: Advancing to JSON Transformation
Having spent considerable time overseeing accounts payable automation projects firsthand, I possess a detailed understanding of the hurdles associated with aligning invoice line data with corresponding order and receipt line data. Among our ongoing developmental tasks, remains improving our ‘Assistive Matching’ service. This service’s primary objective is employing innovative methods to match line data effectively.… Read More »Crafting Efficiency: Unveiling the Power of Assistive Matching in Accounts Payable Automation
In my latest YouTube recording, released at the end of last week, I addressed three primary topics: IDP tools should have evolved beyond the use of templates to recognise correct information on a page, and should now be moving towards AI, Machine Learning, and Entity Recognition. A templated-only approach implies the following: An efficient template-less… Read More »Revolutionising Document Processing: Exploring Template-less IDP, Operator-Based Training, and Line Item Matching