Demo: Robotic Process Automation In Tax Forms Processing

Automated Tax Form Data Extraction

Processing tax forms is a heavily digitized process with dozens of ready-made solutions on the market, but time and time again businesses find regular tools don’t handle complex tax forms effectively.

Given the high variety of tax form layouts and their overall complex nature, custom AI-based tax form data extraction solutions are the best way to go about processing tax forms. Machine learning offers powerful document processing capabilities coupled with flexibility of custom software, and can be used to create tax processing software that handles any document layout, detects input fields and their contents, and exports extracted data in a separate file for further processing.

We at Businessware Technologies have experience in developing automated tax form and insurance claim processing systems, for example, a robotic process automation (RPA) software for extracting data from insurance claims. In the demo video we demonstrate the capabilities of an AI prototype for tax form processing.

AI Tax Form Processing Capabilities

• Claim Type Detection: The system detects claim type (medical, business, etc.) and its layout to improve data extraction and its accuracy. It extracts claim type and title, automating the document identification and digitization efforts.
• Processing Of Multiple Template Types: The system can work with various claim templates and designs, allowing for seamless data extraction from different claim types. It can detect input fields and determine their type, like free-form text boxes, time and date fields, and more, as well as extract the data from the fields.
• Input Field Detection: Insurance claims have many different data field types, all of which look different from each other and present relevant data differently, for example, in a form of plain text, a checkbox, date and time, etc. The system can detect multiple input field types, and extract data accordingly, for instance, it can detect checkboxes to determine which of the multiple options was marked.
• Detection Of Tables And Table Cells: The system we have developed can analyze tables of any complexity, detect table cells, extract table titles and its content into an Excel file for further editing.