Document processing
Extract, classify, and summarise from invoices, contracts, forms, and reports. Reduce manual data entry and speed up approvals.
Documents are everywhere - invoices, contracts, forms, reports. Manually extracting data, routing for approval, or summarising for decision-makers is slow and error-prone. AI can read, classify, extract key fields, and summarise at scale.
I build pipelines that ingest your documents (PDFs, scans, emails), extract the data you need, classify by type or urgency, and feed into your existing systems. Approval workflows get faster because the AI pre-fills what it can and flags what needs human review. For businesses in manufacturing, professional services, or logistics, this often means starting with one high-volume document type - invoices, delivery notes, or contracts - and expanding from there.
Example AI integrations
AI services and tools I've integrated for businesses include:
Unstructured.io
LLM-ready document parsing and chunking for RAG pipelines. For document processing, it parses PDFs and extracts structured content for downstream use.
Amazon Textract
AI document extraction for forms, tables, and handwriting. For document processing, it extracts data from invoices, forms, and handwritten notes.
Google Document AI
ML models for invoice, contract, and form data extraction. For document processing, it automates invoice and contract data capture.
Docugami
Document intelligence for contracts and business docs. For document processing, it structures contracts and extracts key terms.
Rossum
AI document processing for invoices and purchase orders. For document processing, it automates invoice and PO data extraction.
Sensible
LLM-powered document extraction and structured data output. For document processing, it uses LLMs to extract fields from varied document layouts.
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Types of businesses I work with
- Healthcare and life sciences - Clinical documentation, medical records, research automation, and compliance for healthcare providers.
- Agencies and service providers - White-label AI solutions, client delivery, and internal efficiency tools for teams that bill by the hour.
- B2B SaaS and tech companies - Adding AI features to existing products, building internal tools, or prototyping new ideas with a clear path to production.
Frequently asked questions
- AI can process PDFs, scanned documents, photos of paper forms, emails, spreadsheets, invoices, contracts, delivery notes, and more. It handles both typed and handwritten text, and can extract structured data from unstructured layouts.
- Modern AI extraction typically achieves 90-98% accuracy depending on document quality and consistency. For high-confidence extractions it can match or exceed manual data entry, and it flags low-confidence fields for human review rather than guessing.
- Yes. I build pipelines that extract data from your documents and feed it directly into your existing systems - whether that's Xero, Sage, SAP, or a custom ERP. The AI handles extraction; your systems receive clean, structured data.
- Start with your highest-volume, most repetitive document type - usually invoices, purchase orders, or delivery notes. These have consistent formats and clear ROI. Once that works, expand to more varied documents like contracts or forms.
What types of documents can AI process?
How accurate is AI document extraction compared to manual data entry?
Can AI document processing integrate with our accounting or ERP system?
What is the best document type to start automating first?
Want to discuss AI for your business?
I help businesses integrate AI into their workflows. Get in touch to talk through your specific situation.