At DEIENAMI, we specialize in transforming operational bottlenecks into streamlined, intelligent solutions. One such innovation is our Smart Document Extractor & Structurer—an AI-powered automation platform that reads, understands, and structures data from complex, unstructured documents with minimal human intervention.
The Challenge: Manual Data Entry Slows Business Down
Across industries—finance, logistics, legal, HR, healthcare, and compliance—organizations deal with mountains of paperwork. From invoices, ID cards, and contracts to shipping manifests, receipts, and lab reports, these documents often:
- Vary in format and structure
- Require manual data entry
- Are prone to human error
- Create delays in workflows
We were approached to build a system that could eliminate this manual effort, reduce errors, and scale document processing intelligently.
The Solution: Smart, Self-Learning Document Understanding
We engineered a robust platform that uses a fusion of Computer Vision, OCR, NLP, and ML to automate the full cycle of document data extraction and structuring.
Key Capabilities:
- Multiformat Input: Handles scanned PDFs, images, handwritten forms, printed invoices, receipts, and more.
- Intelligent OCR Engine: Built on Tesseract and enhanced using OpenCV preprocessing pipelines for better accuracy on noisy documents.
- Object Detection Layer: YOLO-based model trained to locate key regions like invoice numbers, amounts, names, dates, signatures, etc.
- Natural Language Processing: NLP models parse contracts and text-heavy documents to extract key clauses, terms, and metadata.
- Custom Field Mapping: Clients can define fields they want to extract per document type.
- Confidence Scoring & Human-in-the-loop Validation: Every extracted value is tagged with a confidence score, with optional human verification if needed.
- Structured Output: Delivers output as JSON, Excel, or direct database entries for easy integration into ERP, CRM, or compliance systems.
- Batch Processing: Upload thousands of files and process them in minutes.
Technology Stack
Layer | Tools/Tech Used |
---|---|
OCR | Tesseract, EasyOCR |
Preprocessing | OpenCV, NumPy |
Object Detection | YOLOv5 with custom training |
NLP | spaCy, Transformers, custom rule sets |
Backend | Python (FastAPI), Celery |
Database | PostgreSQL, MongoDB |
Deployment | Docker, AWS EC2 & S3 |
Real-World Applications
- Finance: Auto-extract invoice values, tax IDs, vendor names, payment terms, etc.
- Legal: Digitize and extract parties, dates, obligations, and signatures from contracts.
- Logistics: Read packing slips and customs forms and generate inventory entries.
- Compliance: Match extracted content against regulatory templates for audits.
- Human Resources: Process KYC, offer letters, and employee records into HRMS systems.
Results Delivered
- 98% extraction accuracy on clean documents; 89%+ on varied formats
- 80% reduction in document processing time
- Scalable to thousands of documents per hour
- Fully customizable per industry or department needs
- End-to-end integration with backend systems
Built with Data Privacy in Mind
We understand the sensitivity of document data. That’s why our system includes:
- Role-based access control
- Audit trails for every extracted document
- End-to-end encryption
- Deployment in secure private cloud or on-prem environments
Why Clients Choose Us
- We don’t just build tools—we engineer enterprise-grade platforms.
- Our system can be fully customized and trained for new document types.
- We provide ongoing support, integration services, and updates to ensure long-term value.
- Clients get to cut operational costs, improve accuracy, and unlock data trapped in paper or scans.
💬 Ready to Automate Your Document Workflows?
If your organization is drowning in paperwork or manual data entry, we can help you go from chaos to clarity with intelligent document automation.
Let’s talk.