Document classification involves assigning one or more classes or categories to a document
A structured document is one that follows a consistent pattern. The layout and design (such as colors, fonts, and images) are uniform across all copies of the document. An example of a structured document is an identity document, where every copy adheres to the same format.
A semi-structured document contains specific information known in advance, but the position and format of this information may vary within the document. The most common example is an invoice.
An unstructured document is one that does not adhere to any specific format or content constraints. A typical example of an unstructured document is a contract.
Human errors are unintentional mistakes made by individuals, which can reduce the quality, safety, and accuracy of a given activity.
Information extraction involves finding and retrieving data from documents and other sources.
This is the process where human experts validate the results generated by machine learning models. Combining machine learning with human review offers the best of both worlds.
A type of document automation that involves acquiring, extracting, and processing data from various document formats. The goal is to classify, categorize, and extract relevant information using artificial intelligence and deep learning technologies like natural language processing (NLP) and computer vision techniques.
Technology that detects the characters in a document and converts them into machine-readable digital text.
AI agents are autonomous systems built around state-of-the-art large language models (LLMs) that go beyond answering questions—they can reason, make decisions, and complete complex workflows on behalf of the user.
Read it nowEven handwritten and unstructured documents can be automated. Learn how an IDP platform simplifies car insurance claims management and reduces costs.
Read it nowIDP optimizes the supply chain by automating the processing of critical documents such as orders, delivery notes, and invoices. It reduces processing time, errors, and operational costs.
Read it nowIntelligent Document Processing (IDP) is an AI-powered technology that automates the analysis of both structured and unstructured documents. It helps organizations minimize errors and reduce processing time.
Read it nowDigital transformation involves implementing innovative technologies and redefining business processes to enable automation.
Read it nowEvery business department relies on document management to record information, communicate with customers and suppliers, and store critical data. When done manually, these activities expose the company to numerous risks.
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