AI-Powered Document Processing
99%+ accurate extraction from invoices, contracts, statements, tax docs. Full audit trail. Replaces manual data entry without the OCR pain.
Document processing was 'AI-powered' for a decade — but the old OCR-based stack required hours of cleanup per batch. Modern LLM-based extraction (Claude, GPT-4o, Reducto) handles unstructured + semi-structured docs at 99%+ accuracy with confidence scoring. Aiprosol designs the pipeline + operates it.
What we deliver
- PDF / image / scan ingested → AI extract structured data → confidence-scored output
- High-confidence (>95%) extractions auto-post to your system of record
- Edge cases queue for human review with the AI's reasoning shown
- Audit log: input doc hash, prompt, output, reviewer, decision, timestamp
- Re-training loop: every human correction improves the next batch
Tangible outputs
Trained extraction model + n8n / Make workflow + reviewer interface + audit log infrastructure + integration into your ERP / accounting / CRM.
FAQs
How is this different from regular OCR?
Old OCR reads pixels → text. Modern LLM extraction reads the document as a human would, understanding context, recovering from scan quality issues, and outputting structured JSON ready for your DB.
Can it handle our custom document types?
Yes — most custom formats train in 50-100 examples. Initial week sets baseline accuracy; ongoing supervised learning closes accuracy gaps as you go.
What's the audit trail look like?
Every extraction logs: input hash, prompt, output JSON, confidence score, reviewer ID (if reviewed), decision, timestamp. Exportable as CSV / JSONL for any audit.
