vMind Document and OCR AI reads and classifies documents such as invoices, contracts, forms and petitions, and turns the data inside them into structured form. It works on scanned documents and forms containing handwriting, and transfers the extracted data to your existing systems. If most of your document processing volume is handled through manual data entry, it noticeably shortens process time. All processing takes place on vMind infrastructure located in Istanbul, and your documents are not transferred abroad.
Document processing AI is a step beyond classic optical character recognition technology. Classic OCR converts the text in an image into written text; document AI, on the other hand, understands what that text is.
It distinguishes which field is the invoice number, which is the amount and which is the due date, and produces data that can be written directly to a system. In this way, text extraction becomes a data entry automation.
Classic OCR converts an image into text and stops there; which part of the resulting text means what is left to the user's interpretation. Document AI, on the other hand, recognizes the document type, labels the fields and performs validation.
When an invoice is uploaded, the supplier name, amount, tax amount and due date are extracted as separate fields; the sum of the amounts is checked; if a field is missing, it is flagged. The output is ready to be transferred directly to the accounting system.
Turn Manual Data Entry into Automation
The biggest cost item in document processing is manual data entry. Document AI automates this process and reduces the error rate.
If you want to automate your document processing, share your current volume and document types; let us determine the right solution together.
You can find answers to frequently asked questions about Document and OCR AI in the Knowledge Center.
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