Infrrd AI Enabled Intelligent Document Processing for Complex Documents

Infrrd came up with a unique approach. Our  ‘Intelligent Data Capture’ (IDC)  encapsulates advanced AI-enabled capabilities such as Machine Learning and NLP to trawl through reams of documents to detect, analyze, and classify tables. But it doesn’t end there. Next, the data is captured in digital format, which routes data throughout the business environment for future purposes. Infrrd’s machine learning capability can: Identify tables in the document (their outer boundaries) Segment the table to recognize and detect the inner boundaries of the table (i.e. the rows, columns, and individual table-cells). Classify tables into different types (e.g. complex, long, folded, simple) using layout features. Extract table content Also, the  Natural Language Processing (NLP)  techniques help interpret table content (such as table titles, footnotes and non-table prose discussing a table), as well as understand both cell content and its relationship to the ta...

It’s a known fact that P&ID’s diagrams are of great importance to the oil and gas industry. They hold critical information concerning the layout of an engineering process flow along with the interconnected types of equipment. Over a period of time, the landscape of handling P&ID diagrams has witnessed a drastic change. With digitization in place, several vision problems were observed such as resolution, orientation, and the existence of noisy textual information. Intelligent Data Capture

Data analysis without data preparation it is a myth. Unless we feed the right data in a proper format, Machine Learning algorithms won’t be able to solve our problem. If we give one wrong input then we end up where we started. So it’s very important to understand what data preparation is and how one can do it. Data, in its original form, may have a lot of missing pieces or disarrangement. Through data processing, one can modify this raw information from a specific database to a format which is understandable and learn able by the machine. Mentioned below are the ways that, we at Infrrd, employ in preparing our data. Data selection: It is necessary first to identify the type of data we are going to be working with. One has to keep in mind whether the available data will be able to address an existing problem or not. We keep certain factors in consideration before selecting the data: Data should not be of low quality: Low-quality input= low-quality output. Dataset is not error-r...

Why waste time and resources on tasks that can be automated with technology? Infrrd’s IDC is a single platform that meets all the organizational needs of data capture from structured and unstructured sources to achieve  business process automation  to increase productivity and reduce costs. Intelligent Capture for Accounts Payable Get a   free demo   to know more Intelligent Data Capture technology