The Client is a provider of custom software solutions for different business niches. The Client’s company was looking for a reliable machine learning (ML) consulting firm to assist with implementing ML into a custom intelligent document recognition solution.
The system was needed for automatic invoice and tax returns recognition. The solution was expected to enable the automation of related tasks of human employees engaged in working with financial documents and critical data. Likewise, it was expected to facilitate dealing with monotonous tasks.
The Client was looking for the aid of expert consultants on the right methods of implementing ML into the existing solution. The company was needed to effectively recognize and digitize paper documents for further uses, expedite paper document workflow, and processes of data extraction and classification.
The following parts of the Client’s document processing system required an ML boost:
As an automated data capture solutions provider, InData Labs acted as an expert consultant helping to solve some of the most complex tasks. We proposed the Client a method of integrating ML into the existing system to better serve the business needs.
Our consultants revised the existing solution and proposed the following changes and approaches:
We offered the development of a combined system to enable the following capabilities after the OCR stage is finished:
Also, we suggested replacing an open-source Tesseract with another solution that would yield better recognition output. We offered to combine a template approach used by the Client before with ML algorithms.
Our expert team provided consulting services on improving the existing solution for processing corporate documents of different types. We resulted in providing a viable roadmap to success.
InData Labs consulted the Client on the possible enhancement of the existing document processing software. Our team offered methodologies for the Client to acquire an OCR software for recognition and processing of invoices and tax returns with the use of machine learning.
The solution can help to automate related financial document processing operations, upgrade customer experience, and promote efficiency growth.
Our consulting on building and OCR tax recognition and processing app provided the Client with necessary assistance in solving complicated ML implementation issues. We have worked out a guide on building an ML-led data capture solution in line with specific needs and expectations.