Document Processing with Computer Vision

1. Document Classification & Enhancement

First, we automatically classify document types (invoice, receipt, contract, form) using visual and textual features. This allows us to apply specialized extraction models for each document type. Poor quality images are enhanced using AI-powered de-skewing, noise reduction, and super-resolution to improve OCR accuracy.

For multi-page documents, we identify page boundaries, remove blank pages, and reassemble split documents. Our preprocessing pipeline handles rotated images, handwritten annotations, stamps, and watermarks that would confuse traditional OCR systems.

2. Intelligent Text Extraction

We use multiple OCR engines in ensemble for maximum accuracy, including custom-trained models for industry-specific terminology. Our neural networks don't just extract text - they understand document layout, table structures, and the relationships between fields.

For key-value extraction (e.g., "Invoice Number: 12345"), we use named entity recognition and relationship extraction. For tables and line items, we employ specialized table detection and parsing models. The system handles multi-column layouts, nested tables, and complex formatting that breaks traditional OCR.

3. Validation & Business Logic

Extracted data undergoes multiple validation steps: format validation (dates, amounts), business rule validation (PO matching, budget checks), and cross-field validation (totals match line items). The system automatically corrects common OCR errors (O vs 0, I vs 1) using context.

Confidence scores help determine straight-through processing vs. human review. High-confidence extractions proceed automatically, while low-confidence fields are flagged for verification. Our human-in-the-loop interface highlights uncertain fields and suggests corrections, making review fast and accurate.

How is intelligent document processing different from regular OCR?

Traditional OCR converts images to text but doesn't understand context or structure. Our intelligent document processing uses machine learning to understand document types, identify key fields, extract structured data, validate against business rules, and handle complex layouts. We achieve 99%+ accuracy vs. 85-90% for basic OCR, and we extract structured data ready for system integration, not just raw text.

What document formats and languages do you support?

We process PDFs, images (JPG, PNG, TIFF), scanned documents, and mobile photos. The system supports 100+ languages including European languages, Asian languages (Chinese, Japanese, Korean), and right-to-left scripts (Arabic, Hebrew). We can handle multi-language documents where different sections use different languages, common in international business.

How do you handle documents with custom or unusual formats?

We train custom models on your specific document types. Send us 50-200 sample documents, and we'll build an extraction model tuned for your formats. Our models learn to handle vendor-specific layouts, custom fields, and industry jargon. The system continuously improves as it processes more documents, adapting to new formats automatically.

What security measures protect sensitive document data?

Documents are encrypted in transit and at rest using AES-256. Processing can occur on-premise or in private cloud environments for maximum security. We support air-gapped deployments for highly sensitive use cases. All data handling follows SOC 2, GDPR, HIPAA (for healthcare), and industry-specific compliance requirements. Documents can be automatically deleted after processing based on your retention policies.

What's the typical implementation timeline and ROI?

Most implementations take 4-8 weeks: 1-2 weeks for requirements and model training, 2-3 weeks for integration development, 1-2 weeks for testing and refinement, then production rollout. ROI typically comes within 6-12 months from reduced labor costs (70-90% reduction in data entry time), faster processing (minutes vs. hours), fewer errors (saving rework and corrections), and better cash flow (faster invoice processing means faster payments and discount capture).