AI-first Intelligent Data Extraction for Enterprise-scale Document Processing

Automated Intelligent Data Extraction and Verification

AI & GenAI-powered Models: Pre-trained and trainable models for invoices with dynamic refinement to meet evolving business needs.

Automated Data Extraction & Verification: Intelligent interfaces for quick, accurate, and automated data capture and validation.

Real-time, Error-free Insights: Deliver accurate, verified data instantly for informed decision-making.

Multi-technology Support: Advanced extraction capabilities including ICR (Intelligent Character Recognition), OMR (Optical Mark Recognition), OCR (Optical Character Recognition), barcode, and MICR.

Identity Document Recognition, Extraction, and Redaction

AI-driven Entity Identification and Classification:
Identify and classify key identity attributes such as names, dates of birth, and ID numbers using AI-powered recognition.

QR Code and MRZ Detection:
Detect and extract data from QR codes and Machine Readable Zones (MRZ) in identity documents for reliable verification.

OCR-based Text Extraction:
Extract textual entities accurately using advanced OCR with image pre-processing, even from low-quality images.

AI-powered Automated Redaction:
Automatically mask personally identifiable information (PII) using AI-driven redaction.

Intelligent Document Definition

AI/ML-powered Template Creation: Easily create extraction templates using advanced AI and machine learning models.

Low-code Document Type Configuration: Define document types with varied layouts quickly using intuitive low-code capabilities.

Pre-configured Document Types: Accelerate implementation with ready-to-use templates from multiple industry verticals.

Collaborative Multi-user Support: Enable concurrent users to work together for faster deployment.

Reports and Visualization

Contextual Reports and Dashboards: Gain actionable insights into extraction accuracy levels with context-aware analytics, customizable dashboards, and drill-down reporting.

Real-time, Image-assisted Output Analysis: Monitor extraction throughput and accuracy trends in real time with image-assisted review, enabling faster exception handling and higher data quality.

AI-powered Activity Logs & Audit Trail: Track and analyze all user actions across modules with AI-driven audit logs for full transparency, compliance, and audit readiness.

Intelligent Image Processing and Data Formatting

Automatic Image Quality Enhancement: Detect and correct distortions in real-time for single or multi-page scanned documents, ensuring superior image quality.

Data Validation & Post-Extraction Formatting: Verify extracted data and apply accurate formatting for consistent, reliable outputs.

Historical Data Analysis for Accuracy: Leverage past data trends to improve extraction precision and reduce errors.

Confidence Levels and Customized Models

Extraction Accuracy and Confidence Scoring:
Measure and validate entity identification and data extraction accuracy using localization confidence and OCR confidence percentages for greater transparency and control.

Use Case–specific AI Models:
Enable enterprises to create customized, use case–specific intelligent data extraction models using curated document samples, continuously improving accuracy and performance at scale.