Most OCR solutions simply convert images into text. They struggle when faced with:
Modern finance operations require more than OCR—they require intelligent document understanding.
DataLens goes beyond traditional OCR by combining advanced AI, machine learning, and contextual document intelligence to understand documents the way humans do.
Our platform automatically identifies relevant financial information, extracts key fields, validates data, and delivers structured outputs ready for downstream accounting workflows.
DataLens can accurately capture
Automate extraction, validation, and processing across all financial document types.
Extract invoice data from domestic and international suppliers regardless of format or template.
Capture transaction details, balances, account information, and financial data from complex statement layouts.
Automatically retrieve merchant, amount, tax, and payment details from receipts of varying formats and quality.
Convert purchase orders into structured data for procurement and financial workflows.
Process large volumes of financial documents through a single intelligent platform.
AI-powered document understanding significantly reduces extraction errors and manual corrections.
Integrate easily with existing accounting, ERP, finance, and automation platforms through secure APIs.
Process growing document volumes without increasing operational overhead.
Automate document handling in seconds rather than hours.
Handle documents from multiple countries, languages, formats, and vendors without relying on rigid templates.
The platform continuously improves performance through advanced machine learning and feedback-driven optimisation.
DataLens seamlessly integrates with ERP, accounting, procurement, and healthcare systems to automate document processing across diverse business environments. Here are some examples of how organisations leverage DataLens to eliminate manual data entry and accelerate operations.
Large hospitality and food service organisations use DataLens alongside Oracle ERP to automatically extract and process purchase orders received from suppliers. By converting purchase orders into structured data, finance and procurement teams can accelerate approvals, improve accuracy, and streamline vendor management workflows.
Organizations using third-party ERP platforms integrate DataLens to automate the extraction of invoice and purchase order data. Instead of manually entering information into accounting systems, DataLens captures key fields and seamlessly transfers structured data into downstream financial workflows, reducing processing time and operational overhead.
Accounting software providers leverage DataLens as an intelligent document-processing layer within their automation platforms. DataLens extracts financial data from invoices and bank statements across multiple formats and geographies, enabling customers to achieve faster reconciliation, improved accuracy, and greater automation.
Hospitals and healthcare providers integrate DataLens with Hospital Information Management Systems (HIMS) to automate pharmacy invoice processing. The platform extracts invoice details, supplier information, quantities, and pricing data, helping finance and pharmacy departments improve operational efficiency while maintaining accurate records.
Whether integrated with ERP systems, accounting platforms, procurement solutions, banking workflows, or healthcare applications, DataLens provides a scalable API-first architecture that enables organisations to automate document-intensive processes with speed, accuracy, and confidence.
Organizations using DataLens achieve:
DataLens integrates seamlessly with:
Our secure API-first architecture enables rapid deployment with minimal disruption to existing processes.
Stop spending valuable time correcting OCR errors and managing manual data entry.
With DataLens, organizations can automate financial document processing, improve data accuracy, and scale operations without increasing complexity.
Request DemoTransform invoices, statements, receipts, and financial documents into actionable data—faster, smarter, and at scale.