What Is Intelligent Document Processing?

Automation & Process Also known as: IDP

Intelligent document processing (IDP) is the use of AI to extract, classify, and interpret information from documents such as invoices, forms, and contracts. It goes beyond basic text scanning by understanding a document's structure and meaning, turning unstructured paperwork into organized, usable data.

How intelligent document processing works

Intelligent document processing combines several AI abilities into one pipeline. It starts by reading the text on a page, often with optical character recognition, then uses machine learning and language understanding to work out what the text means: which number is the total, which party is the vendor, what type of document this is. The extracted data is checked and passed on to another system in a structured form.

The difference from older tools is understanding rather than just reading. Where basic scanning turns an image into raw text, IDP interprets that text in context, so it can handle documents that vary in layout and wording without a fixed template for every format.

Why intelligent document processing matters for business

Intelligent document processing matters because document-heavy work is a large source of manual effort in many businesses. Invoices, applications, claims, and contracts arrive in inconsistent formats that older automation struggles with, and IDP lets that work be handled with far less human keying and checking. It is often a building block within broader intelligent automation. At Custom AI Studio, extracting reliable data from a client's documents is a common first step in automating the processes built on top of them.

Frequently asked questions.

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What does IDP stand for?
IDP stands for intelligent document processing.
What is the difference between IDP and OCR?
OCR (optical character recognition) converts an image of text into machine-readable text. IDP uses OCR as one step, then adds AI to understand what that text means and pull out the specific fields you need, handling varied layouts that OCR alone cannot interpret.
What documents can IDP handle?
Structured forms, semi-structured documents like invoices and receipts, and less structured ones like contracts and letters. It is most useful where formats vary and a fixed template would not cover every case.

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