Document processing
Using AI to extract structured data from unstructured documents invoices, contracts, CVs, delivery notes. Claude can read a PDF invoice and extract supplier name, amount, due date, and line items without a human touching the document.
Expert insight
AI-based document processing (extracting fields from invoices, contracts, or forms) performs noticeably worse on scanned images and low-quality PDFs than on native digital documents, since OCR errors compound into extraction errors. Testing against your actual document quality, not clean sample PDFs, is the only way to know real-world accuracy before deploying.
In a real workflow
Supplier invoices arriving by email are read, key fields extracted and sent to accounting for approval.
Common mistakes
- No human review for low-confidence extractions.
- Not keeping the original document linked to the record.
Complexity level
Requires some familiarity with automation concepts.
Related terms
Claude AI
Anthropic's large language model. In automation context, Claude can classify sup…
RAG (Retrieval-Augmented Generation)
An AI pattern where an LLM retrieves relevant data from a knowledge base before …
OCR (Optical Character Recognition)
Technology that converts images or scanned documents into machine-readable text.…
See it in action
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Run a firm, an agency or an online store? We automate the work behind it.
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- Professional firms Onboarding, documents, billing and reporting run on their own. See what we automate →
- Agencies and SaaS teams Custom n8n and Claude builds, client reporting and internal tools. See what we automate →
- E-commerce brands Orders, support, returns and stock handled without the busywork. See what we automate →
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