• Ingest:- DocAcquire provides API-based integration with various document repositories, enabling seamless uploads of Dubai RTA’s 500,000+ documents into the platform for processing.

• Pre-process:- The platform’s inbuilt document pre-processing tools automatically split, and enhance scanned documents. This process reduces noise, enhances text clarity, and optimizes the documents for accurate data extraction.

• Text Extraction:- DocAcquire’s OCR engine extracts text at highest possible accuracy, handling diverse formats, fonts, and document types, including complex bordered and borderless tables.

• Intelligent Categorization:- With AI-driven classification, DocAcquire’s NLP capabilities are tailored to identify and categorize key data points, even from unstructured and complex document layouts.

• Data Validation:- The platform applies rule-based validation to ensure extracted data is accurate and contextually correct. This reduces errors and ensures consistent, reliable data output.

DocAcquire applies rule-based validation to ensure extracted data is accurate and contextually correct, reducing errors and providing consistent, reliable data output. Previously, extracting data from each document manually was a time-consuming process prone to human error. With DocAcquire’s OCR solution, data extraction and presentation are now automated with a success rate of 95% per field. This automation significantly reduces manual work for human agents, saving companies both time and money.

One of the major challenges faced was the poor quality of data, especially when documents contained images that were misaligned or blurred, making data capture difficult. To address this, DocAcquire implemented a smart data processing pipeline to efficiently capture the relevant information. Additionally, its user-friendly and flexible UI sets it apart from competitors, and the platform is continually evolving to improve backend processes further.