AI Data Extraction

Executive Summary

Every day, hundreds of documents flow through your organisation. Invoices, contracts, waybills, order confirmations. The question is not whether you process them, but how much time and errors you accept in doing so. Traditional OCR systems “look” at letters and numbers, but do not understand what they see. They recognise text, but do not know that the number in the bottom right of an invoice is the total amount. An invoice number in column A is, for OCR, exactly the same as an order number in column B: characters without meaning. AI data extraction goes fundamentally further. The system reads and understands the context of your documents, comparable to how an experienced employee does. Whether an amount is in the top left or bottom right, the AI recognises it as “Total amount” by analysing the surrounding text, layout and document structure. The system combines visual recognition (where is something on the page?) with language understanding (what does the surrounding text mean?) to arrive at the correct interpretation. This difference is crucial. Where OCR gives you plain text that you still need to interpret manually, AI data extraction delivers directly structured, usable data: supplier name, invoice number, amounts, VAT rates, dates, all neatly in the correct fields. And this works not only for standard documents. Unstructured sources such as emails, attachments and handwritten notes are also processed by the same AI technology. The system also learns from every document it processes, meaning accuracy continuously increases as you submit more documents. The power of our data extraction lies in three steps that work together like a team of specialists. Each with their own expertise, but inseparably connected. Thanks to Natural Language Processing (NLP), the system understands the human language in your documents. Not just data from tables, but also from contracts, emails and unstructured text. Our Large Model Voting methodology combines multiple AI engines t