Automation at Scale — Extracting, Classifying & Analyzing Documents with AI

Manual document handling slows operations, increases costs, and introduces human error. Intelligent Document Processing (IDP) uses AI, OCR (Optical Character Recognition), and Natural Language Processing (NLP) to automatically extract, classify, and analyze data from documents, contracts, invoices, and forms — enabling faster, more accurate workflows.

At Applligent Technologies, we deliver IDP solutions that not only digitize paper-based processes but also integrate with your enterprise systems to trigger automated actions. From compliance-driven industries like banking and healthcare to high-volume sectors like logistics and retail, our IDP platforms help organizations achieve scalability, accuracy, and real-time insights without adding manual overhead.

Why Choose Applligent for IDP?

• High Accuracy AI Models — Extract structured and unstructured data with exceptional precision.
• Multi-Format Support — Process PDFs, scanned images, handwritten forms, and digital documents.
• Advanced Classification — Automatically categorize documents by type, department, or workflow.
• Workflow Integration — Connect with ERPs, CRMs, compliance systems, and cloud storage.
• Compliance-Ready — Meet regulatory standards with secure, auditable data processing.

Our Process

• 1. Requirement Analysis Understand, Identify, Define — Understand your document types, volumes, and business use cases.
• 2. Data Capture & OCR Setup Configure, Capture, Extract — Configure AI-powered OCR to extract text from scanned and digital files.
• 3. Document Classification Train, Categorize, Classify — Train models to categorize documents by type and context.
• 4. Data Extraction & Validation Extract, Validate, Flag — Extract key fields, validate accuracy, and flag inconsistencies.
• 5. Integration with Workflows Automate, Integrate, Connect — Automate actions like approvals, payments, or reporting.
• 6. Performance Optimization Continuously, Improve, Optimize — Continuously improve accuracy and speed using feedback loops.

Common Use Cases

• Invoice Processing — Extract vendor, payment, and line-item data for automated accounting.
• Contract Analysis — Identify key clauses, dates, and obligations.
• Claims Processing — Speed up insurance claim verification and settlement.
• Onboarding Documentation — Automate ID verification and document submission checks.
• Regulatory Compliance — Maintain accurate records for audits and inspections.