How AI Data Extraction Works in DocuWeave

Beyond Simple OCR

Traditional document processing relies on OCR (Optical Character Recognition) to convert images to text. But OCR only solves half the problem — it gives you raw text, not structured data.

DocuWeave combines OCR with AI-powered understanding to extract not just text, but meaning.

Understanding Context

When you upload a contract, DocuWeave doesn't just read the words on the page. It understands that "Party A" refers to a company name, that "£50,000" is a contract value, and that "January 15, 2025" is an effective date.

This contextual understanding is what makes AI data extraction so powerful compared to traditional approaches.

The Extraction Pipeline

1. Document ingestion — PDFs, images, and documents are processed and normalized
2. OCR processing — scanned documents are converted to machine-readable text
3. AI analysis — our models analyze the content and identify data points
4. Field mapping — extracted data is mapped to your template fields
5. Confidence scoring — each extraction includes a confidence score for review

Accuracy and the Human-in-the-Loop

No AI system is perfect, which is why DocuWeave is designed with a human-in-the-loop approach. Every extracted value is presented for your review, with confidence scores to help you focus on values that may need attention.

This combination of AI speed and human oversight delivers both efficiency and accuracy.

Try It Yourself

The best way to understand AI data extraction is to try it. Upload a document and see what DocuWeave can extract.