Client & Project Overview:

A financial services company faced growing challenges in processing large volumes of PDF documents received via email. With approximately 80,000 pages per quarter, varying in structure and language (Lithuanian and English), the company required an automated, AI-powered OCR solution to extract relevant numerical data with high accuracy. The extracted information needed to be securely stored in the company’s cloud while maintaining compliance with financial regulations.

Business Challenge:

The client’s existing process for handling financial documents was manual, time-consuming, and prone to errors. Key challenges included:

• Unstructured PDFs: Documents varied in format and structure, making manual data extraction inefficient.
• Accuracy Requirements: Business processes required an OCR accuracy threshold of 90% or higher for financial decision-making.
• Scalability & Growth: The number of incoming PDFs was expected to increase, requiring a scalable solution.
• Language Support & Integration: The system needed to handle both Lithuanian and English text while integrating with the company’s cloud storage.

Solution:

SiriusOne implemented a custom AI-powered OCR platform designed to automate and optimize document processing. The solution featured:

• Custom AI Model Training: Leveraged Azure Form Recognizer to train models on financial documents, improving data extraction accuracy.
• Multi-OCR Engine Integration: Compared leading OCR solutions (Azure Form Recognizer, ABBYY, AWS Textract, Google Cloud Document AI) to identify the most effective approach for different document types.
• Automated PDF Processing: Implemented a pipeline to split multi-page PDFs into single pages and analyze them efficiently.
• Cloud-Based Data Storage: Ensured secure storage and compliance by integrating with the company’s existing cloud infrastructure.
• Email Processing Automation: Developed a workflow that automatically processes incoming PDFs from email, extracts relevant data, and updates the database.

Results:

The AI-driven OCR solution delivered significant improvements:

• 90%+ Accuracy Achieved: The trained models met and exceeded accuracy requirements for financial decision-making.
• Enhanced Efficiency: Automated processing reduced manual effort, increasing speed and reliability.
• Scalability & Adaptability: The system seamlessly handled increasing document volumes.
• Improved Compliance & Security: Data was securely stored in the client’s cloud infrastructure, ensuring regulatory adherence.

By leveraging AI-powered OCR, SiriusOne transformed financial document processing, enabling the client to automate complex workflows, improve data accuracy, and scale operations efficiently.