The problem
One of our client’s departments maintained a dedicated team responsible for manually extracting, analyzing, and submitting tax-related details from paper documents received from external customers. Due to the high volume of documents received daily, several team members spent significant time on manual data extraction. The documents arrived in varying formats and quality levels, making it difficult for off-the-shelf solutions to achieve sufficient precision.
Industry: Oil & Gas
Technology: Python, Cloud
Our solution
The documents were received via the client’s email addresses. Upon receipt, our solution automatically captured each document and applied targeted quality enhancement techniques to different sections. After preprocessing, the cleaned documents were processed through an optical character recognition model to extract key details including dates, company information, amounts, and signatures. The extracted data was then saved to a separate platform accessible to the client’s team for verification and further analysis.
The impact
The client reduced manual effort on tax document processing by approximately 80% in the first month after solution adoption.
