--- title: "Document Processing" canonicalUrl: https://happywebs.co.uk/services/ai-document-processing/ serviceSlug: ai-document-processing tier: primary --- # Stop Typing, Let AI Read Your Documents Invoices, forms, contracts, reports, purchase orders and technical files can trap your team in hours of reading and retyping. We build AI that extracts what matters, validates it and moves it into the right system, with a person checking anything uncertain. ## What is included - **Document audit** — We review your document types and data flows - **Invoice and PO extraction** — AI reads invoices and purchase orders and pulls out line items, totals, and dates - **Technical spec reading** — Extract materials, dimensions, tolerances, and requirements from specs and drawings - **Delivery note processing** — Capture goods-in data automatically - **System integration** — Extracted data flows straight into your accounting, ERP, or job management system - **Validation and review** — Confidence scoring and human-in-the-loop checks for edge cases - **Searchable document archive** — Every processed document indexed and searchable - **Training and handover** — Your team will understand the system and trust the output - **Ongoing support** — We monitor accuracy and improve the system over time ## Indicative pricing Document processing projects start from £3,000 for a focused pipeline handling one document type. Complex setups covering multiple document types with system integrations typically range from £5,000–£20,000. ## Frequently asked questions ### What types of documents can AI read? Invoices, purchase orders, delivery notes, technical specifications, engineering drawings, material certs, quotations, and more. If it's a structured or semi-structured document, AI can extract data from it. ### How accurate is the data extraction? Accuracy depends on the documents, the source data and what counts as a correct match. We test against a representative sample before promising a threshold. Every extraction includes a confidence score, and anything below the agreed threshold is flagged for a human check. ### Can it handle handwritten documents or poor scans? Modern AI handles most scanned documents well. Handwriting recognition is improving but works best with printed or typed documents. We'll assess your specific documents during the audit and be honest about what will and won't work. ### Where does the extracted data go? Wherever you need it, Sage, Xero, your ERP, a spreadsheet, your job management system. We connect the extraction pipeline to your existing tools so data flows automatically. ### Can it read technical drawings and engineering specs? Yes. AI can extract data from technical drawings, CAD exports, material specifications, and engineering documents. This is especially valuable for manufacturing and fabrication businesses dealing with large volumes of specs. ### How long does it take to set up? A focused pipeline for one document type can be live in 2–3 weeks. More complex setups covering multiple document types typically take 4–8 weeks. ### Is our data safe? Yes. Documents are processed securely, data stays in the UK where possible, and we follow GDPR best practices. We never use your data to train third-party models. ### What happens when the AI gets something wrong? Every extraction includes a confidence score. Low-confidence results get flagged for human review, your team checks and corrects, and the system learns from the feedback. Over time, it gets better and better. ### Can you give me a real example? We built an invoice verification system for a manufacturing client. Supplier invoices arrive as PDFs, the AI reads every line item and automatically matches it against the original purchase order using a 3-pass matching algorithm. Discrepancies in quantity, price, or totals are flagged instantly. What used to take 15-30 minutes per invoice now takes seconds. We also built a system that reads technical cutting list PDFs and automatically generates paint notes for the powder coating supplier, extracting hundreds of profile specifications, categorising them, calculating linear metres, and flagging items that shouldn't be coated.