All Technologies Used
Motivation
The goal was to create a fast and cost-effective solution for digitizing large volumes of complex documents. The customer needed a way to automate the extraction of data from a wide range of documents with flexible structures and custom abbreviations.
Main Challenges
Documents came from many different vendors, each with their own templates. The challenge was to automatically identify the correct template for each document.
Each document template had a unique set of fields, custom abbreviations, and symbols, making it difficult to extract data.
Many technical documents had layers of information, with important data obscured by other elements or abbreviations.
Key Features
- Document Digitization Module: Converts physical documents into digital format using OCR powered by AI.
- Data Extraction Module: Automatically identifies and extracts data from various document templates.
- Error Detection Module: Ensures the accuracy of extracted data by flagging potential errors.
- Performance Monitoring Module: Tracks the system’s performance, enabling real-time adjustments to improve efficiency.
Our Approach
Project Impact
AI-powered Solution: Azati’s AI-powered solution revolutionized the customer’s document processing workflow.
Automation and Efficiency: By automating the identification of templates and the extraction of data, the solution significantly increased throughput.
Reduced Costs: The system reduced document processing costs by five times, freeing up 30 employees from routine tasks.
Faster Processing: The system processed 120,000 documents in less than 24 hours, achieving a fourfold decrease in data extraction time.
Faster Time to Market: The project was completed in six weeks, far ahead of the customer’s original six-month timeline.