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AI and Machine Learning premium Document Intelligence Azure AI Document Intelligence is a cloud service that uses OCR and machine learning to extract text, layout, tables, key-value pairs, and fields from documents. Document Intelligence fundamentals 5 commands Aliases: Azure AI Document Intelligence, Azure Document Intelligence, Form Recognizer, intelligent document processing Quick peek Open full term page

AI and Machine Learning premium Document Intelligence custom model A Document Intelligence custom model is a trained model built from representative labeled documents to extract fields from organization-specific document types. Document Intelligence intermediate 5 commands Aliases: custom extraction model, custom neural model, custom template model, trained custom document model Quick peek Open full term page

AI and Machine Learning premium Document Intelligence layout model The Document Intelligence layout model is a prebuilt model that extracts document text, tables, selection marks, structure, and layout information without custom training. Document Intelligence fundamentals 5 commands Aliases: layout model, prebuilt layout model, document layout analysis, layout analysis model Quick peek Open full term page

AI and Machine Learning premium Document Intelligence model A Document Intelligence model is a prebuilt, custom, composed, or classifier model used to analyze documents and return structured extraction or classification results. Document Intelligence fundamentals 5 commands Aliases: document model, prebuilt model, custom model, model ID Quick peek Open full term page

AI and Machine Learning premium Document Intelligence resource A Document Intelligence resource is the Azure AI service resource that provides the endpoint, keys, region, pricing tier, network configuration, and monitoring for Document Intelligence APIs. Document Intelligence fundamentals 5 commands Aliases: Azure Document Intelligence resource, Document Intelligence account, AI service resource, Form Recognizer resource Quick peek Open full term page

AI and Machine Learning premium Document analysis operation A document analysis operation is an asynchronous Document Intelligence request that analyzes a document with a model and returns extracted content, layout, and fields when polling completes. Document Intelligence intermediate 5 commands Aliases: Analyze operation, analyze document operation, Document Intelligence analysis request, async analysis operation Quick peek Open full term page

AI and Machine Learning premium Document classifier A document classifier is a Document Intelligence custom classification model that identifies document types or pages before extraction and routing. Document Intelligence intermediate 5 commands Aliases: custom classifier, Document Intelligence classifier, classification model, page classifier Quick peek Open full term page

AI and Machine Learning premium Document field A document field is a structured value extracted by Document Intelligence, usually with field type, content, confidence, and location metadata in the analyze result. Document Intelligence fundamentals 5 commands Aliases: extracted field, field value, query field, document result field Quick peek Open full term page

AI and Machine Learning premium Custom document model an Azure AI Document Intelligence model trained or built for a team’s specific document layout, fields, and extraction needs. Document Intelligence fundamentals 4 commands Aliases: Document Intelligence custom model, custom extraction model, custom neural document model Quick peek Open full term page

AI and Machine Learning premium ID document model ID document model is a prebuilt Azure AI Document Intelligence model that extracts fields from identity documents such as passports and driver licenses. Document Intelligence intermediate 4 commands Aliases: id document model, ID document model, Identity document model, Prebuilt ID document model, prebuilt-idDocument Quick peek Open full term page

AI and Machine Learning premium Composed document model an Azure AI Document Intelligence model that combines several custom document models behind one model identifier so different document types can be analyzed together Document Intelligence Intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning field-manual-complete Prebuilt document model A prebuilt document model is a ready-made Document Intelligence model for a common document type such as an invoice, receipt, ID document, contract, bank statement, pay stub, or tax form. Instead of collecting labeled examples and training a custom model, a developer calls the prebuilt model and receives extracted fields, text, tables, confidence scores, and layout information. It is useful when the document matches a known pattern well enough. It is not magic; teams still need validation, exception handling, data protection, and downstream business rules. Document Intelligence fundamentals 6 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Form Recognizer Form Recognizer is the former name for Azure AI Document Intelligence, an Azure AI service that analyzes documents and extracts text, tables, layout, and structured fields. Teams use it to turn invoices, receipts, IDs, contracts, forms, and scanned documents into structured data for applications, workflow automation, search indexing, review queues, and compliance processing. It is not a human legal review, a guarantee that every extracted field is correct, a storage system for regulated documents, or a reason to skip confidence thresholds and validation logic. Azure AI Document Intelligence intermediate 6 commands Aliases: Azure Form Recognizer, Azure AI Document Intelligence, Document Intelligence, Azure AI Form Recognizer Quick peek Open full term page

AI and Machine Learning premium Confidence score a model-provided certainty value that helps teams judge whether extracted fields, text, tables, or classifications should be accepted automatically or reviewed by a person Document Intelligence fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Invoice model Invoice model controls how teams automate invoice data extraction before routing results into approvals, ERP systems, payment workflows, audits, or exception handling queues. Teams see it in document intelligence studio, prebuilt invoice api calls. It is not a custom document model, a receipt model, an invoice section in billing, an accounting system, or a generative model that summarizes documents; confusing them can create incorrect payment amounts, missed line items. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior. Document Intelligence Intermediate 5 commands Aliases: prebuilt invoice model, Document Intelligence invoice model, invoice extraction model, invoice processing model Quick peek Open full term page

AI and Machine Learning premium Bounding region A bounding region is Document Intelligence output that identifies an element location by page number and polygon coordinates on the page. Document Intelligence fundamentals 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning field-manual-complete Layout model A layout model in Azure AI Document Intelligence analyzes a document structure and returns extracted text, tables, selection marks, paragraphs, roles, and layout information. Microsoft Learn describes layout capabilities for prebuilt extraction, Markdown or text output, and search enrichment scenarios that need structured document content. Document Intelligence fundamentals 12 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning verified Read model In Azure AI Document Intelligence, the Read model is the prebuilt OCR model that extracts printed and handwritten text, words, lines, bounding locations, and languages from documents and images. It is also the text foundation used by layout, prebuilt, and custom document models. Document Intelligence fundamentals 5 commands Aliases: Document Intelligence Read model, prebuilt-read, Read OCR, OCR read model, Azure AI Read model Quick peek Open full term page

AI and Machine Learning verified Receipt model The Document Intelligence receipt model is a prebuilt model that uses OCR and deep learning to analyze sales receipts and return structured fields such as merchant, transaction date, tax, total, and line-item details. It supports printed and handwritten receipts in varying formats and quality. Document Intelligence intermediate 5 commands Aliases: prebuilt receipt model, Document Intelligence receipt model, receipt data extraction, prebuilt-receipt Quick peek Open full term page

AI and Machine Learning premium Azure AI Search index An Azure AI Search index is the place where your application searches. It is not just a pointer to a database or blob container. It is a separate searchable structure with documents, fields, and rules for how text, filters, facets, semantic ranking, and vectors behave. If the index schema is wrong, the search experience feels wrong even when the source data is good. Developers and operators use indexes to make. AI platform and search intermediate 5 commands Aliases: Azure AI Search index, search index, AI Search index, azure-ai-search-index Quick peek Open full term page

AI and Machine Learning premium Azure AI Search indexer An Azure AI Search indexer is the automated worker that fills a search index from another data source. Instead of your application pushing every document into Azure AI Search, the indexer pulls from places such as Blob Storage, Azure SQL, Cosmos DB, or Data Lake Storage. It can map fields, detect changes, crack documents, and run enrichment skills before writing searchable documents. It is useful when source data changes regularly. AI platform and search intermediate 5 commands Aliases: Azure AI Search indexer, search indexer, indexer, azure-ai-search-indexer Quick peek Open full term page

AI and Machine Learning premium Azure AI Language Azure AI Language is the Azure natural-language processing service for analyzing and understanding text with prebuilt and customizable language capabilities. AI services intermediate 4 commands Aliases: Azure Language, Azure Language in Foundry Tools, Azure Language service, Language in Foundry Tools, Language service Quick peek Open full term page

AI and Machine Learning premium Azure AI Search Azure AI Search is a managed retrieval service for full-text, vector, hybrid, and semantic search across application and enterprise content. It provides search services, indexes, indexers, skillsets, ranking features, security controls, and APIs used by apps, copilots, and knowledge portals. Search fundamentals 4 commands Aliases: Azure AI Search, AI Search, Azure Cognitive Search, enterprise search, vector search, hybrid search, semantic search, Search service Quick peek Open full term page

AI and Machine Learning premium Azure AI services Azure AI services is the family of Azure cloud AI APIs and resources, surfaced through Foundry Tools, for vision, speech, language, translation, content, and generative scenarios. AI services fundamentals 4 commands Aliases: AI services, Azure AI services account, Cognitive Services, Foundry Tools Quick peek Open full term page

AI and Machine Learning premium Azure AI Speech The Azure speech service for converting speech to text, text to speech, speech translation, pronunciation assessment, and related speech-enabled capabilities. AI services intermediate 4 commands Aliases: Azure Speech, Speech in Foundry Tools, Speech service, Speech-to-text Quick peek Open full term page

AI and Machine Learning premium Azure AI Translator A cloud-based machine translation service for translating text and documents across supported languages through REST APIs and client libraries. AI services intermediate 4 commands Aliases: Azure Translator, Document Translation, Text Translation, Translator Quick peek Open full term page

AI and Machine Learning premium Azure AI Vision The Azure vision service that analyzes images and visual content for tasks such as OCR, object information, captions, tags, and image understanding. AI services intermediate 4 commands Aliases: Azure Vision, Computer Vision, Image Analysis, Vision in Foundry Tools Quick peek Open full term page

AI and Machine Learning premium Azure AI Foundry Create a governed project boundary where AI teams can build agents, evaluations, files, and model deployments without unmanaged sprawl.; Compare, evaluate, and approve model deployments before a generative AI feature is AI platform fundamentals 5 commands Aliases: AI Foundry, Microsoft Foundry, Foundry resource, Foundry project, Azure AI Foundry, azure ai foundry Quick peek Open full term page

AI and Machine Learning premium Azure AI Content Safety Azure AI Content Safety is the Azure AI service used to detect harmful text and image content before it reaches users, moderators, or automated workflows. In Azure, teams encounter it when applications accept user posts, comments, uploads, prompts, or model outputs that need moderation and policy review. The useful question is what behavior it proves, Responsible AI advanced 4 commands Aliases: Content Safety, Azure Content Safety, harm detection, content moderation API Quick peek Open full term page

AI and Machine Learning premium Azure AI Foundry hub Azure AI Foundry hub is the classic Foundry hub resource used to group AI projects that share common security, data access, connections, and platform settings. In Azure, teams encounter it when teams need hub-based projects for selected Foundry and Azure Machine Learning scenarios such as fine-tuning, shared connections, and custom ML work. The useful question AI platform advanced 4 commands Aliases: AI Hub, Foundry AI Hub, hub-based project, Azure AI hub Quick peek Open full term page

AI and Machine Learning premium Azure AI Foundry project An Azure AI Foundry project is the working area where a team builds and organizes an AI application inside Microsoft Foundry. It keeps related agents, evaluations, files, indexes, tools, connections, and model usage together instead of scattering them across a shared portal. Think of it as the project boundary for one AI product, prototype, or team. It is useful because AI work quickly becomes messy: prompts, test data, model deployments, safety checks, and access decisions all need a home with ownership and repeatable operations. AI platform advanced 4 commands Aliases: AI Foundry project, AI project, Foundry project, Microsoft Foundry project Quick peek Open full term page

AI and Machine Learning premium Azure AI metrics Azure AI metrics is the measurable signals used to observe Azure AI applications, model endpoints, agents, evaluations, safety checks, and business outcomes. Azure AI services intermediate 4 commands Aliases: AI metrics, AI service metrics, Azure AI Metrics Advisor, Azure Monitor metrics for AI, Metrics Advisor, time series anomaly detection Quick peek Open full term page

AI and Machine Learning premium Azure AI Search data source Azure AI Search data source is the connection definition an Azure AI Search indexer uses to read content from a supported external data store. AI platform and search intermediate 4 commands Aliases: Search data source, SearchIndexerDataSourceConnection, data source connection, indexer data source, search data source connection Quick peek Open full term page

AI and Machine Learning premium Azure AI Search service Azure AI Search service is the Azure resource that hosts Azure AI Search indexes, indexers, skillsets, keys, capacity, networking, and query endpoints. AI platform and search intermediate 4 commands Aliases: AI Search resource, AI Search service, Azure Search service, Search service, search service Quick peek Open full term page

AI and Machine Learning premium Azure AI Search skillset Azure AI Search skillset is a reusable Azure AI Search enrichment object that applies built-in or custom processing during indexer execution. AI platform and search intermediate 4 commands Aliases: AI enrichment skillset, Search skillset, cognitive skillset, skillset Quick peek Open full term page

AI and Machine Learning premium Azure AI services account An Azure resource that provides endpoints, keys, identity, networking, billing, and monitoring for one or more Azure AI service capabilities. Azure AI services fundamentals 4 commands Aliases: AI services account, Azure AI multi-service resource, Foundry resource, Microsoft.CognitiveServices account Quick peek Open full term page

AI and Machine Learning verified Responsible AI Microsoft Learn describes Responsible AI as an approach to developing, assessing, and deploying AI systems safely, ethically, and with trust. In Azure Machine Learning, it connects fairness, reliability, privacy, security, transparency, accountability, and operational tooling so teams can evaluate models before production use. Responsible AI fundamentals 8 commands Aliases: Responsible Artificial Intelligence, RAI, trustworthy AI, AI governance, responsible machine learning Quick peek Open full term page

AI and Machine Learning command-rich Data source in AI Search Data source in AI Search is documented by Microsoft as part of the Azure AI Search area in Azure. Azure AI Search intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning complete Single-service AI account An Azure AI services resource dedicated to one service kind, with its own endpoint, keys, region, SKU, monitoring, and billing. AI services intermediate 5 commands Aliases: single service AI resource, single-service Azure AI resource, dedicated AI services account Quick peek Open full term page

AI and Machine Learning premium Search document A search document is a single searchable JSON record stored in an Azure AI Search index. It contains field values defined by the index schema, including a unique key, retrievable content, filters, facets, sortable values, and sometimes vector fields. Azure AI Search fundamentals 5 commands Aliases: Azure AI Search document, search index document, indexed document, searchable document, document in search index Quick peek Open full term page

Databases premium Azure Cosmos DB Azure Cosmos DB is a fully managed database service for NoSQL, relational, and vector workloads. It supports global distribution, elastic scale, multiple APIs, request-unit capacity, backup, and high availability so modern applications can store and query data without operating database servers. Azure Cosmos DB fundamentals 4 commands Aliases: Azure Cosmos DB, Cosmos DB, Azure Cosmos DB for NoSQL, Cosmos database, global NoSQL database, request-unit database Quick peek Open full term page

Databases premium Azure Cosmos DB for NoSQL The native document database API of Azure Cosmos DB for JSON data, SQL-like queries, partitioning, indexing, and scalable request-unit throughput. Azure Cosmos DB intermediate 4 commands Aliases: Cosmos DB NoSQL API, Azure Cosmos DB SQL API Quick peek Open full term page

AI and Machine Learning premium AI tracing AI tracing captures execution telemetry for generative AI applications and agents, including model calls, prompts, tool invocations, retrieval steps, latency, token usage, errors, and run relationships so teams can debug and monitor behavior in Microsoft Foundry and Azure Monitor. AI observability intermediate 3 commands Aliases: Foundry tracing, agent tracing, LLM tracing, AI distributed tracing Quick peek Open full term page

AI and Machine Learning field-manual-complete Private endpoint for AI service A private endpoint for an AI service is the private network doorway to an Azure AI services account. Applications still call the service endpoint they are configured to use, but clients inside the linked network can resolve that name to a private IP instead of reaching across a public path. It is useful when document processing, language analysis, speech, content safety, or vision workloads handle sensitive data. It does not replace authentication, keys, managed identity, or responsible AI controls. AI platform and search intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning field-manual-complete Private endpoint for Azure OpenAI A private endpoint for Azure OpenAI is the private network doorway to an Azure OpenAI resource. Your application still calls the Azure OpenAI endpoint and authenticates normally, but from approved networks the name can resolve to a private IP instead of a public address. It is commonly used for enterprise chat, RAG, summarization, and agent workloads that handle sensitive prompts or documents. It protects the network path, not the prompt content by itself, so identity, logging, safety, and data controls still matter. Azure OpenAI advanced 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Azure OpenAI resource An Azure OpenAI resource is the Azure control-plane boundary that hosts deployments, endpoints, access, networking, and billing context. Azure OpenAI fundamentals 12 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning top-250-pre130-priority-upgraded Customer managed key for Azure OpenAI Customer managed key for Azure OpenAI is a production Azure concept tied to Azure OpenAI. Azure OpenAI advanced 4 commands Aliases: Customer-managed key for Azure OpenAI, Customer managed key for Azure OpenAI Quick peek Open full term page

AI and Machine Learning premium Azure OpenAI Service Azure OpenAI Service provides managed access to OpenAI model capabilities through Azure endpoints and enterprise controls. Generative AI fundamentals 11 commands Aliases: Azure OpenAI Quick peek Open full term page

AI and Machine Learning premium Azure OpenAI Azure OpenAI provides OpenAI model capabilities through Azure resources, deployments, identity, networking, quota, and monitoring controls. Azure OpenAI intermediate 8 commands Aliases: Azure OpenAI Service Quick peek Open full term page

Management and Governance premium Azure Policy Azure Policy is a governance service for creating, assigning, and managing rules that evaluate Azure resources. Azure Policy fundamentals 7 commands Aliases: Policy Quick peek Open full term page