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 Barnsley 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 Barnsley 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.
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Amazon Textract
AI document extraction for forms, tables, and handwriting. For document processing, it extracts data from invoices, forms, and handwritten notes.
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ML models for invoice, contract, and form data extraction. For document processing, it automates invoice and contract data capture.
Visit siteDocugami
Document intelligence for contracts and business docs. For document processing, it structures contracts and extracts key terms.
Visit siteRossum
AI document processing for invoices and purchase orders. For document processing, it automates invoice and PO data extraction.
Visit siteSensible
LLM-powered document extraction and structured data output. For document processing, it uses LLMs to extract fields from varied document layouts.
Visit siteTypes of Barnsley businesses I work with on AI
- 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.