AI Document Processing

Your team spends hours manually reading documents, extracting data, and entering it into your systems. AI document processing automates this entirely: upload a document, and structured data appears in your database within seconds.

I combine OCR (for scanned documents), NLP (for text analysis), and LLMs (for intelligent extraction) to process any document type with 95%+ accuracy. Every extraction includes confidence scores and validation rules so you can trust the output.

Invoice processing: Extract vendor, amount, line items, tax, due date from invoices in any format. Handles multiple languages and currencies. Auto-match to purchase orders.

Contract analysis: Extract key clauses, dates, parties, obligations, and terms from contracts. Flag unusual clauses. Compare against templates.

Email parsing: Extract orders, inquiries, complaints, and requests from customer emails. Route to the right team. Create CRM entries automatically.

Resume/CV processing: Extract skills, experience, education from CVs in any format. Score against job requirements. Feed into your ATS.

Stage 1 — Ingestion: Documents arrive via file upload, email attachment, API endpoint, or watched folder. Each document is classified by type (invoice, contract, email, receipt) using a lightweight ML classifier. Unsupported formats are flagged for manual review.

Stage 2 — Preprocessing: Scanned documents go through OCR (Tesseract for standard, Google Document AI for complex layouts). Digital PDFs are parsed directly. Tables, headers, and sections are identified using layout analysis. Multi-page documents are processed with page-level context.

Stage 3 — Extraction: GPT-4o or Claude extracts structured data using field-specific prompts. For invoices: vendor, amount, line items, tax, due date, currency. Each field includes a confidence score (0-1). Low-confidence extractions are flagged for human review.

Stage 4 — Validation: Extracted data passes through validation rules: date format checks, amount calculations (line items sum to total), vendor matching against known database, duplicate detection. Invalid records are queued for correction.

Stage 5 — Integration: Validated data is pushed to your target system (ERP, CRM, accounting software) via API. Confirmation receipts are generated. Processing metrics (documents per hour, accuracy rate, rejection rate) are logged to the monitoring dashboard.

Single Document Type (EUR 2,000-3,500): Processing pipeline for one document type (e.g., invoices). 2-3 weeks.

Multi-Document Platform (EUR 5,000-8,000): Multiple document types, validation rules, CRM/ERP integration. 4-6 weeks.

Enterprise Pipeline (EUR 10,000+): High-volume processing, custom ML models, continuous learning. 8-12 weeks.