Document Intelligence

Intelligent Document
Processing

Automated OCR, classification, and data extraction from PDFs, scanned documents, and images. Built for legal firms, medical practices, and compliance-heavy industries.

1,433

PDFs Processed

95-99%

OCR Accuracy

<2min

Per Document

100%

Local Processing

How It Works

Drop your documents into the pipeline and the AI handles the rest — extracting text, classifying by type, pulling out key data, and delivering structured, searchable output. A quality gate catches low-confidence results for human review.

Ingest & OCR

Documents are fed in as PDFs, scans, or images. AI-enhanced OCR extracts text with preprocessing for skewed or low-quality scans.

Classify & Validate

Each document is automatically categorised by type and priority. A confidence gate flags uncertain results for human review instead of guessing.

Extract & Deliver

Key data points (names, dates, amounts, references) are extracted and delivered as structured, searchable, indexed output.

Technical Details

Tesseract OCR PyTesseract OpenCV spaCy NER PDF.js Python Local LLM Classification

Processing Pipeline Details

Image Preprocessing: Automatic de-skew, contrast enhancement, noise reduction, and binarisation for optimal OCR input.

OCR Engine: Tesseract 5 with LSTM-based recognition and custom language training data.

Classification: Local LLM-based classification trained on your document types. No generic categories — your business categories.

Entity Extraction: spaCy NER models extract names, dates, monetary amounts, reference numbers, and custom entities.

Hardware Requirements

Basic: Standard server or workstation for OCR-only pipelines (no GPU required for basic OCR).

Recommended: GPU-equipped system for LLM-based classification and high-volume processing. Apple Silicon or NVIDIA RTX.

Storage: Depends on document volume. 500GB-2TB SSD recommended for archive and index.

Who This Is For

Legal Firms

Automated chronologies from thousands of case documents. Classification of court filings, correspondence, and evidence. Deployed for active family law matters.

Medical Practices

Patient record digitisation, referral letter processing, pathology report extraction. All data stays on-premise for privacy compliance.

Financial Services

Invoice processing, statement reconciliation, contract data extraction. Automated compliance document handling.

Frequently Asked Questions

What types of documents can the AI process?

PDFs (native and scanned), images (JPEG, PNG, TIFF), Microsoft Office documents, emails with attachments, and handwritten notes. The system handles multi-page documents, forms, invoices, contracts, medical records, legal filings, and general correspondence.

How does AI document classification work?

The system analyses document content, structure, and metadata to automatically categorise documents by type (invoice, contract, letter, medical record, etc.), priority, and relevant department. Classification models are trained on your specific document types so they understand your business categories.

Is this suitable for sensitive documents like legal or medical files?

Yes. All processing runs on local hardware with zero cloud dependency. Documents never leave your premises, making this suitable for legal privilege, medical records (HIPAA-equivalent), financial data, and any sensitive information. We have deployed this for active legal matters.

How accurate is the OCR on scanned documents?

Modern AI-enhanced OCR achieves 95-99% character accuracy on clean scans. For lower-quality scans, our pipeline includes image preprocessing (de-skew, contrast enhancement, noise reduction) and confidence scoring. Documents below the confidence threshold are flagged for human review rather than processed with errors.

Stop Processing Documents Manually

Let AI handle the extraction, classification, and organisation. You focus on the work that matters.

Book a Free Consultation Call 0400 819 487

Intelligent DocumentProcessing