DocAI

Our client required an effective solution to automate several aspects of handling large amounts of documents. Specifically, this software combines artificial intelligence, machine learning, and natural language processing to recognize the data in thousands of documents and extract the required portion of information, such as lines, into a template, for example, an Excel file. The additional functionality was to automatically change the data in required lines or other parts of documents.

This solution offers a significant saving of time required to process large volumes of documents. It also allows reducing the respective costs and labor by replacing human workforce with artificial intelligence to perform the same processes of data recognition and extraction much more productively. This is invaluable for any company with a large document flow, particularly for such departments as bookkeeping, logistics, inventory, and others. Automated document processing also improves communication between companies and branches by reducing delays before responses. While this particular solution was designed for Fintech implementation, the concept and applicability are well suited for many other industries.

Our specialists designed and developed the modular software that performs data processing using artificial intelligence in the form of bots. Each bot can be created and configured by a user to perform a task specified by custom rules. So, to cover all the required processes, a user creates a necessary amount of bots guided by corresponding sets of rules. To ensure data recognition, scraping, and other ML/NLP features, our specialists used Python and its several libraries, including TensorFlow, OpenCV, and scikit-learn. The functioning of the web-platform was built on PHP, Laravel, and React.js.